Everyday AI

Ep 778: Codex Goes Remote Control, claude Goes Small, notebookLM gets super Powers and 7 more AI features you Can’t skip out on

Everyday AI — Fri, 15 May 2026 15:19:32 +0000

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In Partnership With Adobe

Adobe just introduced an entirely new way to create with Firefly AI Assistant.

Adobe just introduced an entirely new way to create — bringing the power and precision of its creative suite into one conversational experience. With Firefly AI Assistant — now live in the Adobe Firefly app, the all-in-one creative AI studio - just describe what you want to create, and the assistant orchestrates the workflows, drawing on 60+ pro-grade tools across Adobe Creative Cloud apps, including Photoshop, Illustrator, Premiere, Lightroom and more — to help bring your ideas to life.

Every step the assistant takes is visible, so you can refine, redirect, or take over at any time. You stay in control of the outcome as the creative director. Check it out today at firefly.adobe.com.

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Codex remote control in ChatGPT, Claude Code gets goals, Microsoft makes big Copilot move Edge and more. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Figure livestream watching humanoids work goes viral, Hermes Agent and Codex pair up, Anthropic warns of China's AI influence and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Codex mobile control launches in ChatGPT, U.S. and China open high-stakes AI talks, Musk-OpenAI trial deliberations start and more. Read on for Byte Sized News.

💪 Leverage AI: It’s impossible to keep up with the new AI features that define your workflow. We do it for you, and give you the how-to guide in our newish Friday Features segment. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Google is teasing a new Gemini Spark agent platform, Apple is scrambling to figure out how AI agents fit into the App Store, and OpenAI wants a global AI watchdog that could even include China, and more. Check it here!

Ep 778: Codex Goes Remote Control, claude Goes Small, notebookLM gets super Powers and 7 more AI features you Can’t skip out on

The smallest AI update that'll change your work?

ChatGPT's new Codex remote control update. 🤯

But that's not the only big feature update you mighta missed this week. From Claude making a big pivot to small businesses to NotebookLM getting super powers, there's a handful and a half of AI updates this week you can't afford to not use.

In our newest 'Friday Features' segment, we break down the newest AI releases and how to actually use them.

Also on the pod today:

• Codex remote control from phone 📱
• NotebookLM powers Google automations 📓
• Goal mode hits Claude Code 🎯

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – HasData is a web scraping service for AI, OpenHuman is an open source AI harness built for humans, Lokuma is an AI-native website builder

Grok Coding — Grok Build launches in early beta: a terminal-first coding agent with parallel subagents

AI Chips — The U.S. quietly cleared Alibaba, Tencent, and others to buy Nvidia’s H200 AI chips, but none have shipped yet. Find out more.

AI Robotics — Millions have tuned in to watch a livestream of Figure humanoids sort packages.

Hermes AI Agent — Hermes Agents can now run on the Codex runtime when using OpenAI models, just by flipping a switch.

AI Safety — A top AISI research leader is heading back to the Bay Area to launch a new AI alignment nonprofit.

AI Policy — In a new policy paper, Anthropic says the AI race hits a tipping point by 2028, either the US locks in its compute lead or China reaches near parity.

1. Codex Comes to ChatGPT Mobile for Live, On‑the‑Go Work Control 📲

OpenAI has pushed Codex into the ChatGPT mobile app, letting users oversee and steer active coding and research work from their phones as it runs across laptops, dev machines, or remote environments.

The move reflects how AI agents are now handling longer tasks, making quick human check‑ins more valuable for keeping work accurate and moving forward. From mobile, users can review results, approve actions, change direction, and start new threads while all files and credentials stay on the original machine.

2. U.S. and China Open AI Talks as Washington Claims the Lead 🇨🇳

U.S. Treasury Secretary Scott Bessent said Washington and Beijing have begun formal talks on artificial intelligence governance, arguing the U.S. can lead the conversation because it is ahead in AI development, according to CNBC.

The discussions come during President Trump’s high-stakes Beijing summit with Xi Jinping and focus on setting shared rules to prevent advanced AI models from falling into the hands of nonstate actors, signaling a rare point of cooperation amid deep rivalry.

3. Cerebras IPO Pops, Then Stumbles as Wall Street Weighs AI Hype 📉

Fresh off its Nasdaq debut, Cerebras Systems saw shares drop 10% Friday after a blockbuster IPO that briefly sent the stock soaring 68% and valued the AI chipmaker at about $95 billion.

The company raised $5.55 billion in the largest U.S. tech IPO since 2019, pitching its wafer-scale processors as a faster alternative to Nvidia GPUs, especially for AI inference. Some analysts are already urging caution, calling Cerebras’ technology powerful but narrow and still early in its commercial life.

4. Jury Begins Deliberations in Musk–OpenAI Trial Over For‑Profit Shift ⚖️

The first phase of Elon Musk’s lawsuit against OpenAI wrapped up this week in federal court in Oakland, putting the fate of Sam Altman and OpenAI’s for‑profit conversion in the hands of an advisory jury that starts deliberations Monday. Musk argues OpenAI broke its nonprofit promises and enriched insiders and Microsoft, while OpenAI says no such commitments existed and calls the case sour grapes after Musk launched rival startup xAI.

The jury’s verdict will guide Judge Yvonne Gonzalez Rogers, who will ultimately decide liability and, if needed, move into a remedies phase that could include leadership changes or unwinding OpenAI’s recapitalization.

5. AOC and Sanders propose national moratorium on new U.S. data centers over AI energy costs ⚡

Progressive lawmakers moved this week to pause all new AI data center construction until Congress sets nationwide safeguards for electricity prices, workers, and environmental impacts tied to AI growth.

The bill from Rep. Alexandria Ocasio-Cortez and Sen. Bernie Sanders comes as U.S. power demand hits record levels and local opposition grows over rising utility bills and water use. Though unlikely to pass, the proposal exposes a sharp divide within Washington between those urging caution on AI’s rapid expansion and leaders who see any slowdown as a competitive risk against China.

Claude built the agentic desktop. OpenAI just made it mobile.

How?

This week, Codex landed inside the ChatGPT app so your phone can now control any machine running Codex, with terminal output, diffs, and approvals streaming in real time. And it works on all plans, including free.

Meanwhile, Anthropic made a real play for small businesses, Google snuck in the most underrated automation upgrade of the week, and OpenAI's voice AI finally got GPT-5 class reasoning.

If your team is still babysitting a laptop to keep agents running, y'all are prolly already getting lapped.

On today's Everyday AI Friday Features show, we broke down all seven. Here's what you missed.

Let's get into it y’all.

1. Claude Drops Into Small Business Tools 🔧

Anthropic built their first SMB package as a toggle inside Claude CoWork. Flip it on and Claude connects to QuickBooks, PayPal, HubSpot, Canva, DocuSign, Google Workspace, and Microsoft 365.

It ships with 15 ready-to-run workflows and 15 skills covering payroll, invoicing, lead triage, contract review, and tax prep. Every action requires your approval before anything sends, posts, or pays.

The catch? Base plan users will burn through rate limits fast. These agentic flows aren't always token-efficient.

Try This

Toggle on Claude for Small Business in CoWork and connect QuickBooks and PayPal first.

Run the month-end close workflow before your next accountant call. If it surfaces something worth catching, stack the invoice chaser on top.

2. NotebookLM Becomes Your Automation Brain 🧠

Google dropped an Ask NotebookLM step inside Google Workspace Studio, and almost nobody covered it.

Before this, automation flows pulled from Gemini's training data or the open web. Now you can lock any flow to a specific NotebookLM notebook as the only source.

Your automations generate responses grounded only in the research and documents you control. NotebookLM's grounding is still the best in the space.

Rolling out to Workspace orgs now, with full visibility expected by end of June.

Try This

Ask your IT admin if Workspace Studio is enabled. Build a three-step flow: email trigger, Ask NotebookLM step pointed at your FAQ notebook, auto-draft reply.

If it handles repetitive questions without touching the open web, scale it across the team.

3. OpenAI Voice AI Finally Learned to Think 🎙️

GPT-Realtime-2 is OpenAI's first voice model with GPT-5 class reasoning, and it changes what voice agents can actually do.

The old approach required stitching together separate models for transcription, reasoning, and synthesis. GPT-Realtime-2 collapses that ENTIRE stack into a single audio-in, audio-out model with a 128,000 token context window, four times its predecessor.

Two companions shipped alongside it: GPT-Realtime-Translate for 70-plus input languages and 13 output languages, and GPT-Realtime-Whisper for streaming transcription. All three are live in the API now, coming to ChatGPT soon.

Try This

Test GPT-Realtime-2 in the OpenAI Realtime API playground on your gnarliest voice use case.

If it handles what your current stitched stack can't, consolidating to one model cuts overhead significantly.

4. Codex Connects Directly to the OpenAI Platform ⚡

OpenAI shipped an OpenAI Developers plugin for Codex, and it removes the most annoying part of building on the OpenAI API.

Before this, you were bouncing between Codex and platform.openai.com, wiring up API keys manually, and hunting down error messages across windows. The plugin handles all of it from inside Codex: auto-creates API keys, diagnoses errors, and works alongside the bundled OpenAI Docs skill.

Anyone on the Codex app can install it. Search OpenAI Developers in Plugins.

Try This

Install the OpenAI Developers plugin, then describe an automation you've been putting off.

Point Codex at the GPT-Realtime-2 page and say build me a prototype. Watch how far it gets before you have to touch anything.

5. Microsoft Edge Folds Copilot Mode Into Everything 🌐

Microsoft retired Copilot Mode in Edge and baked those features directly into the default browser on desktop and mobile.

Mobile gets multi-tab reasoning for the first time, plus Journeys (long-term memory) and Vision and Voice. New desktop additions include Study and Learn mode, a Writing Assistant, and a tabs-to-podcast feature.

Edge is built on Chromium, so your Chrome extensions and data sync over cleanly.

Try This

Update Edge on your phone and open five competitor pages.

Ask Copilot to compare them across all tabs at once. If it saves the tab-switching grind, it may be worth making Edge your default mobile browser.

6. Claude Code Ships a /goal Command 🎯

Instead of a prompt, you now give Claude Code a condition to meet.

After every turn, a small evaluator model (Claude Haiku by default) decides yes or no on whether the condition holds.

If yes, it stops. If no, it keeps going.

This separates the worker from the judge. Available now in the CLI for paid users on the latest version.

Desktop app still pending, and Codex had this first.

Early reception has been mixed, and a number of users called it clunky.

Try This

Open a Claude Code CLI session and try /goal with a testable condition: all unit tests pass and the linter returns zero errors.

If it completes without a single check-in, start mapping your repeating tasks to condition-based handoffs.

7. Codex Mobile Lets Your Phone Run the Show 📱

This is the BIG one.

Codex is now inside the ChatGPT mobile app on iOS and Android, and your phone can connect to and control any machine running Codex. Terminal output, diffs, and approvals all stream back in real time.

You can control multiple machines from the same account. Files and credentials stay on the host.

Claude's Dispatch connects to CoWork only and has had persistent issues. Codex is one unified interface with memory across sessions.

Available NOW on all plans, including free. Windows support coming soon.

Try This

Update both the ChatGPT mobile app and the Codex app on your Mac and pair them via the QR code.

Start a long task on your laptop, then approve it from your phone while you're out. If you've been leaving a laptop cracked open to babysit an agent, that habit ends today.

Ep 777: No, Anthropic isn’t leading In Enterprise AI Adoption. Separating AI Facts from Fiction and how Companies Should Choose Providers

Everyday AI — Thu, 14 May 2026 16:38:10 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

In Partnership With Adobe

Adobe just introduced an entirely new way to create with Firefly AI Assistant.

Every step the assistant takes is visible, so you can refine, redirect, or take over at any time. You stay in control of the outcome as the creative director. Check it out today at firefly.adobe.com.

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Everyone keeps arguing about whether Anthropic or OpenAI is winning enterprise AI, but the real story is how bad data, misleading studies, and AI marketing spin are shaping billion-dollar business decisions. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Microsoft just expanded Copilot across mobile Edge, Meta launched private “Incognito Chat” for AI conversations, and TikTok is letting AI agents fully automate ad campaigns, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Google is teasing a new Gemini Spark agent platform, Apple is scrambling to figure out how AI agents fit into the App Store, and OpenAI wants a global AI watchdog that could even include China, and more. Read on for Byte Sized News.

💪 Leverage AI: The biggest AI enterprise story this week might not be Anthropic vs. OpenAI. It might be how easily bad data becomes accepted as fact. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Google just launched its Gemini Deep Research Agent, Microsoft unveiled a 100-agent AI cybersecurity system called MDASH, and Meta rolls out private AI chat, and more. Check it here!

Ep 777: No, Anthropic isn’t leading In Enterprise AI Adoption. Separating AI Facts from Fiction and how Companies Should Choose Providers

If you're making AI decisions, you have to understand where you're getting your intel from. 🤦

A recent report from Ramp went viral and set off a narrative that Anthropic had officially overtaken OpenAI in enterprise adoption.

Is it true?

Should you pay attention?

We break it down on today's show.

Also on the pod today:

• Ramp study’s math blunder 🤦‍♂️
• One Claude user = whole company? 😲
• Microsoft missing from adoption chart 🧐

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Spellar Records calls locally, No bot joins your call, AI summaries, action items, and chat powered by Claude, GPT, and Gemini, Naptick is the first bedside AI sleep companion that works as a personal sleep mentor, Asteroid Deploys browser AI agents to run portal workflows in-house — no RPA, no BPOs, no outsourcing.

Alexa for Shopping — Amazon just launched Alexa for Shopping, an AI-powered assistant that knows your shopping habits and helps you buy smarter.

Copilot for Mobile — Edge just rolled out Copilot features on mobile, letting you compare tabs, pick up projects, and even turn your browsing into a podcast.

Claude Code Limits — Claude Code weekly limits just got bumped up by 50 percent, live for all paid users until July 13.

Self Upgrade AI — A new AI startup led by ex-OpenAI and DeepMind leaders just raised $650M to build self-improving AI that can experiment and upgrade itself.

Workspace Studio — Google Workspace Studio now lets you automate email alerts and task flows without needing to code.

OpenAI and Accenture Federal Servies — Accenture Federal Services and OpenAI are teaming up to help US agencies roll out advanced AI faster, with secure, production-ready solutions.

Codex at Work — OpenAI is offering 2 free months of Codex for eligible enterprise teams that switch now.

Meta Incognito AI — Meta just launched Incognito Chat for WhatsApp and the Meta AI app, making your AI conversations truly private.

Tiktok AI Tools — TikTok just launched tools for AI agents to fully automate ad campaigns, taking manual work off media buyers' plates.

Perplexity Computer — Perplexity Computer runs code in ultra-secure sandboxes, connects safely to external services, and gives admins tight control over everything.

Cline Open Source Agent — Cline just dropped an open-source agent SDK that powers every Cline tool and lets anyone build their own.

holaOS 0.1 Release — holaOS just dropped its first beta, letting you run and manage multiple AI-powered workstreams with their own apps, skills, and memory.

1. Google Teases Gemini Spark Ahead of I/O Shakeup ✨

Just days before Google I/O, a new beta feature called "Gemini Spark" has quietly popped up inside the Gemini web app, signaling Google's next big leap into AI-powered personal agents.

The update promises to let Spark act as a 24/7 assistant that handles inboxes, web tasks, and other multi-step chores using data from connected apps, chat history, and even your location. While Spark puts Google in direct competition with the likes of OpenAI's and Anthropic's upcoming agent platforms, it also comes with warnings: the experimental tool may share sensitive info or complete purchases without asking first.

2. Apple Eyes Tighter AI Agent Controls for App Store📲

With WWDC just weeks away, Apple is reportedly racing to design a system that brings AI agents into the App Store while keeping its famously strict privacy and security standards intact, according to The Information.

The company is grappling with how to allow these advanced agents, which can take complex actions for users, without letting them break App Store rules or go rogue.

3. OpenAI Backs Global AI Watchdog With China in the Mix 🇨🇳

OpenAI is signaling support for a U.S.-led international AI oversight group that could include China, making waves just as President Trump arrives in Beijing for high-stakes talks.

The company’s VP of global affairs, Chris Lehane, likened the proposed body to the International Atomic Energy Agency, suggesting it could set global standards for AI safety while bridging divides between AI powerhouses.

4. Fiserv and OpenAI Join Forces to Shake Up Banking with AI 🤝

In a move making waves today, Fiserv announced a partnership with OpenAI to inject cutting-edge AI directly into the core systems of banks and financial institutions.

The collaboration aims to streamline complex tasks, speed up modernization projects, deliver banking-specific AI tools, and boost cybersecurity—making life easier for banks of all sizes.

5. Microsoft Eyes Next-Gen AI with Inception Acquisition 🤝

Microsoft is reportedly in talks to acquire Inception, the lab behind Mercury 2, a cutting-edge reasoning diffusion LLM that’s generating serious buzz for its breakthrough performance and approach.

According to Reuters, this move signals Microsoft’s ambitions to go beyond traditional generative AI models, potentially baking advanced reasoning directly into Copilot and its enterprise stack.

6. Anthropic and Gates Foundation Launch $200M AI Push for Global Good 🤑

In a major move this week, Anthropic is teaming up with the Gates Foundation to roll out $200 million in grants, AI credits, and support to boost health, education, and economic mobility worldwide over the next four years.

The partnership zeroes in on using AI to speed up vaccine discovery, improve disease modeling, power smarter educational tools, and help farmers and job seekers get ahead.

Those headlines you’re probably seeing about Anthropic overtaking OpenAI in the enterprise?

Yeah, the data source doesn’t even know the difference between percentage increase and percentage point increase.

Yikes.

Ramp’s latest AI Index report claims Anthropic surpassed OpenAI in business adoption among, and the AI influencers and media immediately started acting like the enterprise AI race had a new king.

Slow down shorties.

This is where executives get burned. A slick chart turns into a Slack thread, the Slack thread turns into a board question, and suddenly someone is rethinking a $1,000,000 AI commitment based on Ramp data that didn’t measure seats, usage, deployment, workflows, or outcomes.

They measured yes’s and no’s.

On today’s Everyday AI, we break down why relying on the now viral Ramp AI Index is a dangerous shortcut for enterprise buyers, how Microsoft and Google blow up the easy Anthropic-vs-OpenAI narrative, and what signals actually matter.

Let’s dive in.

1. Stop counting swipes as scale 🔥

Ramp’s adoption framing has a giant problem hiding in plain sight.

If a company has a positive transaction amount for an AI product or service in a given month, Ramp counts that company as having adopted the tool. Yes, seriously. That’s the base of the methodology.

That’s binary. Yes or no.

Which means a two-person company swiping their Ramp card to buy Claude could potentially count the same as a companywide ChatGPT deployment with 10,000 seats, assuming both show up as visible transactions.

(Again… another data flow. How many F500-types are swiping a Ramp credit card for their 7 or 8 figure AI spend? lol)

Ramp’s approach makes zero sense and is a wildly different story than actual enterprise adoption.

Real adoption asks better questions. How many people have access? How many are active weekly? What is the total spend. Which workflows changed? Which teams depend on it? What business outcome moved?

A card transaction that reportedly treats a 2-person and 10,000 person company the same is the legit biggest red flag imaginable.

Try This

Before your next AI vendor review, ban the word “adoption” unless the metric includes seat count, active usage, deployment scope, and workflow impact.

If the number only proves someone paid for something, label it spend visibility. Not adoption.

2. Red-team the data pool ⚡

Ramp’s data pool is not the enterprise market.

It’s Ramp’s customer base. More specifically, it’s a customer base Ramp describes as high-growth and tech-forward, which already matters when you’re comparing tools with different buyer profiles.

That doesn’t make the data useless.

It makes it narrow and already pre-skewed toward certain providers, like Anthropic or Grok.

And narrow data gets dangerous when the headline gets broad.

There are also incentive questions that smart buyers shouldn’t ignore. Ramp sells AI spend intelligence, Anthropic features Ramp as a Claude Code customer, Brex has a public OpenAI partnership, and nearly a third of named Ramp investors overlap with Anthropic’s latest fundraising rounds.

Don’t get us wrong….that doesn’t prove anything shady.

It does mean you shouldn’t treat the chart like neutral gospel delivered from the AI heavens. It’s bad data (percent vs. percentage points!!) and a worse methodology.

Try This

Create a “data bias” box for every external AI report your team uses.

List the sample, who is excluded, how the data was collected, who benefits commercially, and whether the conclusion is broader than the dataset can actually support.

If the data says “our customers,” don’t let your team translate that into “the enterprise market.”

3. Notice who disappeared 🚀

The fastest way to judge the Ramp AI Index is to ask who’s missing.

Microsoft doesn’t appear on the chart.

Google barely shows up.

Meanwhile, the actual enterprise AI conversation absolutely has to include Microsoft, especially when we’re talking about 450,000,000 paid Microsoft 365 seats and $37 billion+ AI annual recurring revenue.

So if an “enterprise AI adoption” chart leaves out Microsoft and barely registers Google, that should give you enough reason to laugh it off.

The data source can only tell you what it can see. And if it can’t see the biggest enterprise channels, it shouldn’t be steering enterprise decisions.

Try This

Build your own internal AI market map before you talk renewals.

Split vendors into four buckets: visible card spend, procurement contracts, embedded platform usage, and shadow team usage.

That forces a cleaner view of reality.

Because the winner isn’t the vendor that looks best in someone else’s dataset.

It’s the one actually changing work inside your company.

Ep 776: OpenAI’s Codex For Beginners: Why it’s better than Claude, ChatGPT and How to Start Using It

Everyday AI — Wed, 13 May 2026 17:14:18 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

In Partnership With Adobe

Adobe just introduced an entirely new way to create with Firefly AI Assistant.

Every step the assistant takes is visible, so you can refine, redirect, or take over at any time. You stay in control of the outcome as the creative director. Check it out today at firefly.adobe.com.

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: OpenAI’s Codex is quickly turning into much more than a coding tool, with AI agents that can control apps, browse the web, and automate real desktop workflows from one place. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Claude just doubled coding and API limits, Google is testing an AI-powered screen pointer, and Android Auto is getting smarter with new AI features and screen support, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Google just launched its Gemini Deep Research Agent, Microsoft unveiled a 100-agent AI cybersecurity system called MDASH, and Meta rolls out private AI chat, and more. Read on for Byte Sized News.

💪 Leverage AI: Codex is the undisputed best AI system out there. We show you how beginners can get started. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Google is launching its Gemini Omni video agent, Google releases Gemini Intelligence and AI hardware, and OpenAI unveiled a new AI cyber initiative called Daybreak, and more. Check it here!

Ep 776: OpenAI’s Codex For Beginners: Why it’s better than Claude, ChatGPT and How to Start Using It

OpenAI's Codex is the best AI system on the planet. 🪐

Yet, most non-technical users have never touched it.

Don't let the word 'code' in Codex scare you. Codex is OpenAI's forthcoming superapp, and if you haven't used it yet, you're literally asking for your competition to lap you.

On today's 'AI at Work on Wednesdays' we're going over the basics: What Codex is, how to use it, and why it's actually better than ChatGPT and Claude.

Tune in LIVE to find out.

Also on the pod today:

• Codex vs Claude memory showdown 🧠
• Uptime: Codex crushes Claude 🚦
• Live demo: Codex desktop powers 💻

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Memoket Gem captures every important conversation and turns it into context your AI tools can actually use, APIDeck Connects Claude, Codex, Cursor, and any MCP client to Accounting, CRM, HRIS, and 4 more Unified APIs, Blaze sets your strategy, creates your content, and gets smarter every week

Claude Code Updates — Claude just doubled code and API limits, plus dropped smart new agent features to speed up AI development.

Krea 2 Release — Krea 2 lets you control style in AI image creation and even mix up to four style references at once.

Claude for Legal Work — Claude just rolled out 20+ new connectors and 12 plugins made for legal work, letting lawyers plug AI directly into the software they already use.

Paypal AI — PayPal showed that letting employees pick their own AI tools sped up trust and adoption across the company.

Mouse Pointer AI — Google is testing an AI-powered pointer that lets you interact with anything on your screen, just by pointing and speaking.

Android Auto Upgrades — Android Auto is getting a big upgrade to fit wild new car screen shapes and add features like YouTube streaming and smarter AI help.

Anthropic Acquires Stainless — Anthropic is in talks to buy Stainless, a key dev tools startup used by OpenAI and Google, for $300 million.

Rivian Assistant Release — Rivian Assistant puts you in control of your car with smart, natural voice commands.

AI Powered Radio — thehype just launched a nonstop AI-powered radio station for founders and builders, streaming real-time analysis and industry signals.

1. Google Debuts Deep Research Agent for AI-Powered Analysis 🤓

Google has just rolled out its Gemini Deep Research Agent, a new tool that autonomously tackles complex research tasks using web search, code execution, and document analysis.

This upgrade means AI can now deliver detailed, cited reports on topics ranging from market trends to technical comparisons, saving users hours of manual digging. The agent works asynchronously, allowing for collaborative planning and even generating charts or visualizations when asked—perfect for those who need more than a quick summary.

2. Google I/O Preview: Android’s Quick Share Gets AirDrop Integration ☔

In a timely move ahead of Google I/O, Google announced that Android’s Quick Share will soon work seamlessly with Apple’s AirDrop, bridging a long-standing gap between the two platforms.

Users will be able to wirelessly transfer photos, apps, messages, and eSIM data across Android and iOS devices from top brands. The update also brings QR code sharing for even faster cross-platform transfers from any Android phone.

3. Microsoft Unleashes AI Agents to Hunt Windows Vulnerabilities 🛡️

Microsoft revealed its new AI-powered cyber defense system, codenamed MDASH, which just helped researchers uncover 16 new vulnerabilities in the Windows networking and authentication stack, including several critical remote code execution flaws.

The big news is that this new system orchestrates more than 100 specialized AI agents to discover, debate, and even prove security bugs at enterprise scale, outperforming traditional single-model approaches and topping public vulnerability benchmarks.

4. Meta unveils encrypted Incognito Chat for AI with no message logs 🤫

Meta says its newly announced Incognito Chat for Meta AI is designed so conversations are not stored at all, including on Meta’s own servers, marking a notable shift in how consumer AI tools handle privacy. CEO Mark Zuckerberg says the feature uses end-to-end encryption, setting it apart from rival “temporary” chat modes that still retain logs for days or longer.

The timing is significant as AI companies face mounting lawsuits and public scrutiny over stored chat data tied to violent incidents and media disputes. Meta says the feature will roll out gradually to WhatsApp and the Meta AI app over the coming months.

5. Claude follows Codex’s lead and gets a goal feature 🥅

Anthropic has rolled out a new /goal command in Claude Code that lets developers set a clear completion condition and have Claude keep working across turns until it’s met, marking a notable step toward more hands-off AI workflows.

The update matters now because it shifts Claude from a reactive helper into something closer to a persistent worker that can finish tasks without constant prompting. In simple terms, users tell Claude what “done” looks like, and a separate evaluator checks progress after every turn until the job is finished or canceled.

Anthropic pretty much invented the agentic desktop, then got lapped on their own field.

How?

While everyone obsessed over Claude Code and Claude Cowork, OpenAI quietly shipped Codex on the desktop in February and it's been eating their lunch since. Most leaders kept scrolling because the name starts with "code," and you know that voice. "code" in the name so not for me.

Biiiig mistake, fam.

What's the big deal with Codex? It's the first true autonomous agent that actually works WITH you in real time, using your apps and files while you keep doing your own thing.

We're calling it the biggest shift in knowledge work since ChatGPT first dropped.

Don't worry. We've got your Codex 101 for the nontechnical leader.

On today's Everyday AI, we break down three unlocks that put Codex measurably ahead of Claude Code, Claude Cowork, and ChatGPT, plus why your company is prolly leaking money.

You've gotta window. Let's get after it.

1. The Memory Unlock 🔥

Most leaders assume Claude on the desktop remembers what they told it yesterday, and we hate to break the news, but nope.

Anthropic toggles a memory setting in the desktop app that does absolutely nothing. Tell it your favorite NFL team in one chat, ask in the next, and it shrugs at you like a stranger.

Same problem hits Claude Cowork and Claude Code, three little silos that have zero idea the others exist.

Codex runs ONE unified workspace where memory actually persists across every project and chat, forever.

Here's the gnarly part.

Your team has prolly been pouring context into Claude for months thinking it sticks, and that knowledge has been quietly evaporating.

Try This

Open Codex tonight and feed it three things about how your business actually runs. Your top product, your biggest customer segment, your weekly reporting rhythm.

Start a fresh chat tomorrow and ask Codex to draft your Monday update using everything it knows. The difference will smack you in three seconds, and that's the moment you stop renting amnesia and start building real leverage.

2. The Uptime Unlock ⚡

Enterprise software lives or dies on three nines, which is 99.9 percent uptime and the gold standard every serious tool gets measured against.

Codex sits pretty at a clean 100, while Claude Code hangs back at 99.2. Sounds like a rounding error, but wayyy bigger than it looks.

Stack three dependent automations and one missed trigger snaps the whole chain like a cheap necklace. Now run that across 20 workflows every weekday.

What does that look like in practice?

Your morning briefing fails to send, your CRM enrichment skips a Tuesday, and your sales digest ships half built before anyone catches it Wednesday.

This is the silent tax leaders never see until quarterly numbers come in soft.

Try This

Audit every automation you've spun up in any AI tool over the past 90 days, and flag the ones touching revenue, customers, or executive reporting.

Move those over to Codex first this week, then block one quiet hour Friday to migrate the rest while it's still fresh. Your future self pulling a clean Monday dashboard will very quietly thank you.

3. The Execution Unlock 🚀

Most agents hijack your computer the moment they start working, leaving you on your hands like a kid in detention.

Codex doesn't.

It runs its own cursor at the operating system level with its own mouse, keyboard, and browser. So while you're heads down on a deck, it's quietly triaging your inbox, and while you're on a call it's pulling reports across five apps without bothering you.

Two workers, one machine. Sooo much output.

This is the first time the agent stops riding shotgun and becomes a true parallel coworker, which means the real unlock isn't speed, it's YOUR highest-leverage hours getting handed back on a silver platter.

Leaders who figure this out in the next 30 days will run at 2X capacity by February.

Try This

Pick one repeatable task that quietly eats 30 minutes a day. Inbox triage, calendar prep, that weekly report you grind out by hand.

Hand it to Codex with three rounds of feedback, then tomorrow morning let it run while you focus on work that moves the needle. Once you feel parallel execution kick in, there's truly no going back.

Time to move.

🚨 BONUS 🚨

Make sure to repost today’s show on LinkedIn to skip the line for our upcoming Cowork Codex Cohort.

Ep 775: Open Source AI 101: Why Local Models, Cheap APIs, and AI Agents Change Everything (Start Here Series Vol 24)

Everyday AI — Tue, 12 May 2026 19:21:17 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

In Partnership With Adobe

Adobe just introduced an entirely new way to create with Firefly AI Assistant.

Every step the assistant takes is visible, so you can refine, redirect, or take over at any time. You stay in control of the outcome as the creative director. Check it out today at firefly.adobe.com.

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Open source AI models are now close enough to frontier systems that, in Start Here Series Vol. 24, we break down why companies are debating whether the cost savings outweigh the legal and security risks. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Thinking Machines is previewing a real-time multimodal AI model, Gemini can now build travel itineraries from your personal Google data, and Isomorphic Labs just raised $2.1 billion for AI drug discovery, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Google is launching its Gemini Omni video agent, Google releases Gemini Intelligence and AI hardware, and OpenAI unveiled a new AI cyber initiative called Daybreak, and more. Read on for Byte Sized News.

💪 Leverage AI: Most companies built their AI strategy around always using the best model. But local models, cheap APIs, and always-on agents are changing the math faster than most leaders realize. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: OpenAI just launched a $14 billion AI consulting division, Google confirmed hackers used AI to find a major software vulnerability, and the Musk vs. OpenAI trial is heating up again, and more.Check it here!

Ep 775: Open Source AI 101: Why Local Models, Cheap APIs, and AI Agents Change Everything (Start Here Series Vol 24)

Until a few months ago, open source AI was kinda a hobby project.

Now, it's tearing corporate boardrooms apart.

Why?

Over the past 6ish months, the gap between frontier closed AI and open sourced AI has shrunk to pretty much nothing. And with the surge of always on agents driving open models, their development and release schedule is on pace with the frontier labs.

So if your team isn't paying attention to -- and running test cases through -- open AI models, there's a good chance you'll either be overpaying or playing catch up soon.

We walk you through the 101 and what you need to know when it comes to open source AI in this Start Here Series special.

Also on the pod today:

• Open vs. closed AI showdown 🤖
• Chinese model distillation exposed 🇨🇳
• API prices crash to pennies 💸

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Display.dev lets you Publish, gate, comment, iterate — at one URL, Free AI SEO Auditor lets you See your page through the eyes of ChatGPT, Claude, and Perplexity, Knooth records your screen, highlights key moments, and exports a clean video quickly.

Thinking Machines Interaction Model — Thinking Machines is previewing a new AI model that responds and interacts in real time across audio, video, and text.

Google Personal Intelligence — Google Gemini can now build custom travel itineraries by pulling info from your Gmail, Google Photos, and more.

Ismorphic Lab Drug AI — Isomorphic Labs just raised $2.1 billion to boost its AI-powered drug discovery.

Claudes Consitution AudioBook — Anthropic released an audiobook of Claude's Constitution, read by its authors, with a Q&A on AI ethics and design.

Heremes in Sigma Browser — Sigma Browser is pushing private, local AI agents right inside your browser.

Google Finance in Europe — Google Finance just rolled out its new AI-powered features across Europe, offering smarter research, real-time market updates, and advanced charting.

Agent View — Claude Code just added an agent view that lets power users run and manage multiple AI coding sessions from one terminal.

Softbank Chips — SoftBank just pumped $457 million into Graphcore to boost its AI chip ambitions.

Hosting Qwen on Blackwell — NVIDIA’s new GB200 NVL72 racks let you run massive MoE models like Qwen3 235B faster and cheaper, thanks to smarter parallelism and high-speed GPU links.

Google Biology — Google and top universities are teaming up to use quantum tech and AI for breakthroughs in biology.

Claude and AWS — Claude is now fully available on AWS, letting developers use the latest models with native AWS tools, security, and billing.

1. Malicious Code Hits Popular AI Packages 🐛

Microsoft confirmed Monday it is investigating a new supply‑chain attack after hackers slipped malware into the mistralai PyPI package, a widely used AI developer tool, causing malicious code to run automatically when imported on Linux systems.

The attack downloaded a hidden second-stage payload and launched malware in the background, echoing a broader wave of package compromises hitting both Python and JavaScript ecosystems, including popular TanStack and Mistral npm libraries. According to Microsoft and security researchers, the goal appears to be stealing developer credentials, which can open the door to much larger breaches across cloud services, CI pipelines, and software distribution channels.

2. Gemini Omni Set for Official Debut as Google’s Video Agent 📸

Just hours ahead of the Android Show kickoff, Google preps to release Gemini Omni, a new video agent that lets users craft and refine videos by blending images, text, and clips—plus starring their own avatar.

Unlike its rivals, Omni isn’t trying to outshine the best generators; it’s designed to orchestrate creative flows across multiple media types. The upcoming Avatars feature, tied to a quick selfie scan, is flagged as “new” and appears ready for public launch.

3. OpenAI Unveils “Daybreak” to Reinvent Cyber Defense ⚒️

OpenAI has just announced “Daybreak,” a major push to embed AI-powered cyber defense directly into the software development process.

This initiative marks a shift from simply patching problems to making software resilient to attacks from the start, using the same advanced models that power Codex and GPT-5.5. The rollout comes as OpenAI partners with leading tech and security firms, aiming to accelerate how quickly defenders can spot, prioritize, and fix vulnerabilities.

4. Google Unveils Android 17 and Gemini Automation Ahead of I/O ✨

Days before Google I/O on May 19, Google used its Android Show livestream to reveal Android 17 and a major expansion of Gemini, signaling a push toward deeper automation across phones, cars, browsers, and wearables.

The updates focus on Gemini handling real-world tasks like bookings, form filling, and voice dictation, while Android 17 adds security, digital well-being, and sharing improvements that affect daily use. Google also previewed a new AI-driven widget system and a broader device strategy that stretches from smartphones to laptops and vehicles.

5. Palantir Deepens AI Ties with Ukraine in War Tech Push 🪖

Ukraine's President Zelenskyy has just met with Palantir CEO Alex Karp in Kyiv, ramping up the country's use of artificial intelligence to gain a battlefield advantage against Russia.

The partnership includes the BRAVE1 Dataroom, a platform giving Ukrainian and allied developers access to real combat data to train AI for detecting and intercepting enemy drones. Ukraine's Defense Minister says the tech has already delivered detailed air attack analysis, smart intelligence processing, and better planning for deep strikes.

6. Google Replaces Chromebooks With Gemini-Powered Googlebooks 💻

Google on Tuesday unveiled Googlebooks, a new line of AI-first laptops built around its Gemini models, marking the company’s biggest shift in personal computing since the launch of Chromebooks 15 years ago, according to TechCrunch.

Launching this fall with hardware from Acer, Dell, HP, Lenovo, and others, the devices introduce features like an AI-powered cursor, deep Android phone integration, and Gemini-built widgets baked into the system. Googlebooks also signal a gradual move away from ChromeOS toward an Android-based operating system designed around AI from the start.

The real AI edge in 2026 is knowing when NOT to use the best model.

Yeah, read that one again.

That’s the uncomfortable shift. A lot of companies built their 2025 AI strategy around one frontier vendor, one premium default model, and one very expensive assumption: best model equals best business decision.

Yes. But also, not always.

That’s because early 2026 has exploded with local models, cheap APIs, and always-on agents that have changed the math.

The downside? The legal tradeoff of open source models doesn’t politely vanish because the invoice got smaller.

On today’s episode of Everyday AI, we break down open source AI 101: why the open-versus-closed default flipped, why Gemma 4 puts serious capability on consumer hardware, why agent swarms are suddenly less ridiculous, and why your AI routing strategy now needs finance, IT, legal, and operations at the same table.

Because yeah, your competitors may not win by having better AI.

They may win by sending the right model to the right job while you’re still torching premium budget on PDF parsing.

1. Stop defaulting to premium models ⚡

Should the best model be used for everything? Not always.

The ceiling capabilities gap between frontier closed models and open models has collapsed hard over the past year. We’re talking about a gap that moved from about 250 ELO points on Arena to about 30, and sometimes less.

If your company burns through API tokens like a kid burns through cereal on a Saturday morning, it might be worth looking at triaging some of the lower-hanging fruit to an open model.

Summarization, extraction, classification, PDF parsing, basic research, first-draft content, and other high-volume low-risk work don’t automatically deserve the AI model with the high price tag.

Try This

Monday morning, pull your last 30 days of API usage and tag every workflow by task type, volume, risk, privacy sensitivity, and customer visibility.

Anything high-volume, repetitive, internal, and low-stakes should be tested on an open model. Not production. Test lane.

That one audit can show where you’re paying frontier prices for work that no longer needs 2026 frontier intelligence.

2. Put agents on cheaper rails 🚀

Local models change the agent math, whether you’re an OpenClaw aficionado using something like Ollama.

Google’s open source Gemma 4, at its release, was about 20X more efficient than its closest open source competitors. And throw in the fact it can run 24/7 for free on a consumer laptop with 2025-level frontier intelligence, and it changes the agent equation. This changes what employees can do locally from occasional usage to around-the-clock agentic operations.

That matters because agents used to feel like special projects with special budgets and special permission slips.

Now some of that work can run locally, self-hosted, or through cheaper open APIs.

A 100-agent swarm moving from 1,200-plus dollars on Opus to 60-some dollars on DeepSeek is a sizable jump.

Try This

Pick one agent workflow that runs every day: sales-call summaries, support-ticket classification, research briefs, document parsing, or internal content drafts.

Run it three ways: cheap open API, local or self-hosted open model, and premium closed model as reviewer. Compare output quality, cost, latency, privacy posture, and failure risk.

The winner probably won’t be one model.

It’ll be a routing rule.

3. Price the legal tradeoff first 🔥

This is where cheap AI can get weird fast.

DeepSeek v4 Pro pricing at $0.43 per million input tokens and $0.87 per million output tokens looks extremely tempting when your API bill is acting rude. Or, if you have beefy hardware, running a model like GLM-5.1 locally is even a possibility.

But open source can strip away legal protection that enterprise teams often get from closed offerings like OpenAI, Google, Anthropic, and Microsoft.

That tradeoff matters most when the work is regulated, customer-facing, legally sensitive, or used for final review.

For those workflows, the premium model may be the cheaper decision.

Annoying? Yes.

Also probably true.

Try This

Build an AI triage map before shifting workloads.

Cheap open APIs get bulk internal tasks. Local open models get private workflows and local agents. Premium closed models get final review, regulated work, high-value reasoning, and customer-facing output.

Then make legal, finance, IT, and business owners approve the map together.

That’s how you stop treating AI like a tool preference and start treating it like operating infrastructure.

Ep 774: Anthropic’s Dev Day releases, OpenAI’s new model drop, AI labs agree to federal testing and more AI News That Matters

Everyday AI — Mon, 11 May 2026 17:04:31 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

In Partnership With Adobe

Adobe just introduced an entirely new way to create with Firefly AI Assistant.

Every step the assistant takes is visible, so you can refine, redirect, or take over at any time. You stay in control of the outcome as the creative director. Check it out today at firefly.adobe.com.

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: OpenAI quietly upgraded ChatGPT’s default model, Anthropic may finally fix its reliability issues, and Microsoft says most companies still aren’t ready for AI. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: OpenAI is simplifying ChatGPT’s model picker, Codex may soon work directly from your phone, and Grok Voice just landed on Apple CarPlay, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI just launched a $14 billion AI consulting division, Google confirmed hackers used AI to find a major software vulnerability, and the Musk vs. OpenAI trial is heating up again, and more. Read on for Byte Sized News.

💪 Leverage AI: Elon Musk just gave Anthropic access to his supercomputer, the U.S. government is stepping deeper into AI oversight, and Apple is paying out over AI features it never delivered. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: OpenAI launched GPT-Realtime-2 and GPT-Realtime-Whisper, Google released Gemini 3.1 Flash-Lite, and Perplexity now runs AI agents locally on Macs, and more. Check it here!

Ep 774: Anthropic’s Dev Day releases, OpenAI’s new model drop, AI labs agree to federal testing and more AI News That Matters

Nearly a billion people will be using a new AI model this week, and hardly any of them will notice.

Sheesh.

That’s how important it is to keep up with the latest in greatest in AI.

Aside from OpenAI’s new GPT-5.5 Instant release, this week we saw both AI drama and battles, as well as new capabilities and studies that detail it all.

If you can’t keep up with the daily breakneck speed of AI, make sure you join us weekly for our AI News That Matters where we keep you in the loop in a fraction of the time.

Also on the pod today:

• SpaceX leases supercomputer to Anthropic 🚀
• Cloudflare cuts 20% jobs for AI ⚡
• GPT-5.5 Instant model upgrades 💡

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Genpire Goes from concept to manufacturing 10x faster with the first agentic platform for consumer-goods product development, ClawSecure is an OpenClaw Security Scanner & Integrity Verification, Webspeed is the deterministic adaptation layer for autonomous AI.

Cursor and XAI — Cursor staff are meeting with xAI employees as layoffs and exits accelerate. Find out what's really happening inside the company.

OpenAI Simplified Model Picker — OpenAI is rolling out a simpler way to pick ChatGPT's smarts, with options like "Instant" and "Pro".

Codex Ultra Fast — OpenAI's Codex briefly showed an "Ultrafast mode" for super low-latency tasks, then quickly pulled it

NVIDIA CEO — NVIDIA CEO Jensen Huang told CMU grads they're entering the world just as the AI era is exploding, calling it a once-in-a-generation chance to shape the future.

Codex Mobile Upgrade — OpenAI is hinting at a big upgrade for ChatGPT, possibly letting users control Codex from their phones.

Robots Cleaning Rooms — Two humanoid robots cleaned a bedroom and made a bed in under two minutes, all on their own.

Google Notebooks — Google is testing a "Donation Safe" label for notebooks that lets you share detailed feedback, but your logs won’t be scrubbed.

Anthropic — Anthropic slashed AI misalignment rates by teaching models ethical reasoning, not just correct answers.

Grok CarPlay — SpaceXAI’s Grok Voice mode just landed on CarPlay, letting drivers chat handsfree in almost any car.

Drafted AI Houses — Browse a huge collection of free, downloadable house plans in every style and size, from cozy 1-bed retreats to massive 9-bed estate

1. OpenAI Rolls Out $14B AI Consulting Division, Snags Major Investors 💸

OpenAI just debuted its new consulting arm, The OpenAI Deployment Co. (DeployCo), hitting the scene with a $14 billion valuation and $4 billion in new private equity funding.

Heavyweights like Bain & Co., Capgemini, and McKinsey are not just cheering from the sidelines but actually investing, while Goldman Sachs is doubling down on both OpenAI and rival Anthropic’s similar ventures. DeployCo has already picked up its first engineering team acquisition and is luring top-tier private equity players, signaling a fierce race to lead the AI consulting market.

2. Google Teases Next-Gen Gemini Omni Video Model 🎥

Google is reportedly on the verge of launching an advanced Gemini Omni video model with enhanced editing capabilities like watermark removal and object replacement, with a Pro version also rumored.

The buzz kicked off after anime-style comparison clips surfaced online, though early reactions from the AI community have been mixed, with many saying the output still lags behind competitors like Seedance 2.0. The new tool could change the game for solo creators by automating complex video edits, potentially making entire production teams obsolete.

3. Google: Hackers used AI to find major software vulnerability 🛜

Google has confirmed the first-ever case of artificial intelligence being used to create a network vulnerability, signaling a dramatic shift in the cybersecurity arms race.

The tech giant found no link between Anthropic’s Claude Mythos and the zero-day exploit, but warned that advanced AI models are now shaping how attacks are developed, not just detected. With both US regulators and cybercriminals paying close attention, the arms race to harness AI for digital offense and defense is heating up fast.

4. AI Showdown: Musk vs. OpenAI Heats Up in Oakland ⚖️

The high-stakes trial over OpenAI’s shift from a Musk-backed nonprofit to an $852 billion powerhouse resumes this week in Oakland federal court, with Microsoft CEO Satya Nadella taking the stand.

Elon Musk is suing Sam Altman, Greg Brockman, and Microsoft for $134 billion, arguing that OpenAI abandoned its original mission to benefit humanity. OpenAI dismisses the lawsuit as Musk trying to slow their growth and boost his own AI startup, xAI.

Here’s some AI twists you didn’t see coming.

Elon Musk just handed his supercomputer to the company he once called evil. The federal government officially got its fingerprints on every future AI model. And two of the biggest AI labs on the planet just decided they're in the consulting business now.

Oh, and nearly a billion people are running a brand new default ChatGPT model right now and have absolutely no idea it even happened.

That's this week in AI. Let's get into it.

1. The Company Elon Called Evil Is Now Running on His Supercomputer 🤯

Elon Musk once called Anthropic misanthropic and evil.

Announced at Anthropic’s Dev Day, he just handed them an entire supercomputer.

SpaceXAI, Musk's newly merged xAI and SpaceX entity, signed a deal giving Anthropic full access to Colossus 1, a Memphis data center housing over 220,000 NVIDIA GPUs that analysts estimate will generate $3 to $4 billion in annual revenue for SpaceX.

The business logic is actually pretty clean.

Grok pulls in under $1 billion in annualized revenue. Anthropic is on track to clear $30 billion. SpaceXAI already moved its own model training over to Colossus 2, so Colossus 1 was just sitting there.

But the Anthropic side of this deal is really about one thing.

Their uptime across key services has been clocking in the low-to-mid 98% range, well below the 99.9% or higher that enterprise customers actually expect, and OpenAI simply does not have this problem.

Any path toward Anthropic going public starts with fixing that.

Musk is actively suing OpenAI, called Anthropic evil, and is now the one helping them close the reliability gap on his biggest rival.

What it means: Musk called Anthropic evil and is suing OpenAI. Now he's handing Anthropic the compute they need to challenge OpenAI. For Anthropic, this fixes a real reliability problem before any IPO conversation gets serious. For SpaceXAI, it's idle infrastructure printing billions.

2. Cloudflare Cut 1,100 Jobs Because of AI. Then the Stock Tanked. 📉

When is the only time Wall Street punishes a company for cutting jobs because of AI?

When the earnings disappoint.

Cloudflare announced this past week it's cutting 20% of its global workforce, about 1,100 people, in the company's first mass layoff ever, framing it explicitly as an AI-first restructuring and not a cost-cutting move.

Sheesh.

Agentic AI tools have changed how much labor they need across every team and department, leadership said, and the company is redesigning how work gets done.

Investors were not impressed.

Cloudflare shares fell more than 20% after the company issued second-quarter revenue guidance that came in below Wall Street expectations, which is the exact opposite of what usually happens when companies announce big AI-driven job cuts alongside strong earnings.

Worth noting: Cloudflare quietly runs infrastructure that powers most of the internet, so your company almost certainly touches their network whether you know it or not.

What it means: Cloudflare just became the cautionary tale for how public companies need to time these announcements. Cut jobs, beat revenue, watch stock climb. Skip step two and the market makes an example of you. Every public company comms team is studying this one right now.

3. Apple Just Paid $250 Million for AI Features It Never Actually Delivered 🍎

Apple agreed to a $250 million class action settlement this past week after being accused of misleading customers about Apple Intelligence.

The case centered on features like an advanced conversational Siri and AI writing tools that were heavily promoted during the iPhone 16 launch in September 2024 but were either never delivered or still aren't fully available today.

Customers who bought the iPhone 15 Pro, the iPhone 15 Pro Max, or any iPhone 16 model between June 2024 and March 2025 may qualify for $25 to $95 per device once a judge approves the amounts.

Apple didn't admit wrongdoing and told the press it settled to stay focused on building products.

A fully updated conversational Siri is now expected around WWDC 2026, roughly two years after it was first promised.

Nah. A company that aired actual commercials showing AI features that didn't exist just paid a quarter billion dollars. The real damage is the years of talent they refused to pay for while every serious AI researcher headed elsewhere.

What it means: Promoting AI features you can't deliver is now a legal liability with a real price tag. But $250 million on tens of millions of devices sold is barely a rounding error for Apple. The trust they've spent two years burning in an AI race they're still not winning is the actual cost.

4. Nearly a Billion People Got a New Default ChatGPT Model This Week 🤖

OpenAI released GPT-5.5 Instant this past week as the new default ChatGPT model, replacing GPT-5.3 Instant for nearly a billion weekly active users who probably have no idea the swap was even happening.

On the AIME 2025 math benchmark, the new model scores 81.2 versus 65.4 for the previous version. Not too shabby.

Fewer hallucinations in high-stakes areas like law, medicine, and finance. Same fast response times. Just a smarter, more accurate baseline for nearly a billion people.

But the memory features might actually be the bigger story here.

GPT-5.5 Instant can now reference past conversations, uploaded files, and connected Gmail accounts to deliver more personalized responses, rolling out first to Plus and Pro users on the web before expanding to free, business, and enterprise users in the following weeks.

ChatGPT will also now show users exactly which sources shaped their answers, with the option to delete outdated info or correct mistakes.

For developers, GPT-5.3 stays available via API for three more months before it's gone.

What it means: Yuuuuup. A smarter default for nearly a billion casual users is the kind of upgrade that compounds silently. The memory features are the real shift though. When AI starts pulling from your actual history to answer you, the usefulness gap between power users and everyone else starts closing fast.

5. Microsoft's New Study Has Bad News for Most Companies' AI Plans 📊

A new study from Microsoft's 2026 Work Trend Index surveyed 20,000 AI-using knowledge workers across 10 countries and found a widening gap between how fast employees are adopting AI and how slowly organizations are actually changing to support them.

Only 19% sit in what the study calls the frontier group, where strong individual AI skills and strong organizational support actually reinforce each other.

The rest are scattered.

Half are stuck in an emergent middle with limited support from their companies. Another 10% are in what the study calls "blocked agency," skilled AI users who are actively held back by their own organizations. Most of the rest are either stalled or at companies where the organization is ready but employees haven't caught up.

Microsoft calls this the Transformation Paradox.

Employees are ready to change. Company systems, incentives, and management practices keep enforcing the old way.

Organizational factors account for 67% of AI impact versus just 32% from individual mindset and behavior, and only 26% of AI users say their leadership is clearly aligned on AI.

What it means: The capabilities problem is mostly solved. The organizational problem isn't. Companies still running year-long pilots and quarterly AI roadmaps the same way they did for cloud or mobile are going to lose ground fast. Being in the 19% isn't about tools. It's about structure, culture, and whether leadership is actually walking the walk.

6. The Federal Government Just Got Authority to Vet Every Powerful AI Model 🏛️

This one quietly landed this past week and most people missed it – the federal government may soon sign off on the safety of AI models.

The Center for AI Standards and Innovation, known as CAISI, which sits under the Department of Commerce's National Institute of Standards and Technology, signed new agreements with Google DeepMind, Microsoft, and Elon Musk's xAI to evaluate their AI models before and after they reach the public.

These build on deals already in place with Anthropic and OpenAI from nearly two years ago, expanding formal government oversight across nearly every major frontier AI lab.

CAISI will conduct pre-deployment testing focused on security risks, autonomous behavior, and potential real-world misuse.

Then things got more specific.

Bloomberg reported the White House is preparing an executive order to create a centralized federal vetting system for all new frontier AI models, with Anthropic's unreleased Mythos specifically named given that the company disclosed it was highly effective at identifying network vulnerabilities and raised serious cybersecurity concerns inside the administration.

What it means: This is a genuine 180 from where the Trump administration started on AI. A year ago it was innovation-first, hands-off. Mythos changed the calculus. When your own AI can map global cybersecurity vulnerabilities, national security officials stop treating it as a product launch and start treating it as a threat.

7. OpenAI and Anthropic Both Just Got Into the Consulting Business 🏗️

Building the best model is no longer enough.

Reports this past week confirmed both OpenAI and Anthropic are building their own AI services and engineering firms designed to help businesses actually deploy AI inside their real operations.

OpenAI's new joint venture is called The Deployment Company, known internally as DeployCo, which raised roughly $4 billion from 19 institutional investors including TPG, Bain Capital, and Brookfield Asset Management.

Anthropic made a near-identical move, raising around $1.5 billion from Blackstone, Hellman & Friedman, and Goldman Sachs for its own deployment-focused venture.

The goal for both is the same.

Most enterprises are only tapping 10 to 20% of what these models can actually do, new and the specific business context it's going into.

The big consulting firms were too slow to build this capability, and now OpenAI and Anthropic are building the replacement themselves, mirroring Palantir's long-standing model of embedding engineers directly inside client organizations.

What it means: Welp. Both companies just admitted that model capability alone doesn't win enterprise. The last mile of AI adoption is messy and deeply human. Mid-tier consulting firms that didn't go AI-native fast enough are about to feel this. The labs aren't waiting for them to catch up anymore.

Ep 773: New ChatGPT default model, Copilot Cowork goes mobile, Codex heads to Chrome and 7 more AI upgrades worth checking out

Everyday AI — Fri, 08 May 2026 19:54:06 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Codex is heading into Chrome, Microsoft brought Copilot Cowork to mobile, and ChatGPT’s new default model is getting a lot better at memory, personalization, and accuracy. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Microsoft upgraded Copilot with GPT-5.5 Instant, xAI’s Grok coding app is almost here, and Telegram is expanding AI across chats and automation, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI launched GPT-Realtime-2 and GPT-Realtime-Whisper, Google released Gemini 3.1 Flash-Lite, and Perplexity now runs AI agents locally on Macs, and more. Read on for Byte Sized News.

💪 Leverage AI: Here’s what you missed, how to use it, and why you should pay attention. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Google just launched a unified AI health app, Adobe turned Acrobat into an AI-powered workspace, OpenAI’s former CTO accused Sam Altman of lying during the Musk trial, and more. Check it here!

Ep 773: New ChatGPT default model, Copilot Cowork goes mobile, Codex heads to Chrome and 7 more AI upgrades worth checking out

Everything got a bit more powerful this week. 💪

Your iPhone got smarter.

Your browser now just does your work.

Your Google docs sounds more like you.

Your computer got simple claw-like features.

All you gotta do? Know what's new, how to use it, and keep up.

That's exactly what we're breaking down in our new Friday Features series, as we dish on 7 new AI upgrades you probably missed but need to pay attention to.

Also on the pod today:

• Codex Chrome extension drops 🚀
• Explainability: why numbers matter 🧾
• Sage Copilot’s new agentic powers 🤖

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Monid is an agent-native router for tool calls, APIEval-20 is A Benchmark for API Test Suite Generation, Fabraix Finds gaps in your AI systems before users do.

GPT-5.5 Instant in Microsoft 365 — Microsoft 365 Copilot now features GPT-5.5 Instant for faster, sharper answers and better image analysis.

New Grok App — Grok Build, xAI’s new coding app, is coming soon for Mac, Windows, and Linux. It’ll have planning mode, plugins, and even a built-in browser

Telegram AI Update — Telegram just dropped a huge AI update, letting bots jump into any chat for search, automation, and creative tasks.

LTX Studio Flows — LTX Studio just launched Flows, a node-based tool that lets you build and scale visual content workflows fast.

Cursor Drops /orchestrate — Cursor just introduced /orchestrate, a new skill that lets planners spawn workers and verifiers to automate coding tasks and self-correct in real time.

Airpods with Cameras — Apple is testing AirPods with built-in cameras that could help Siri AI see what you’re cooking or guide you with directions.

ElevenLabs Studio Agent — ElevenLabs just dropped Studio Agent, an AI co-editor that builds your video and audio edits from a simple prompt.

Anthropic Upgrades — Anthropic's Petri toolbox just got a major upgrade, making it easier and more realistic to test AI models for risky behaviors.

Spotify AI — Now you can turn your daily notes or briefings into personal podcasts, saved right to your Spotify library.

AI Partnerships — Anthropic quietly locked in a massive $1.8 billion cloud deal with Akamai to keep up with demand for its AI models

1. Google Unveils Gemini 3.1 Flash-Lite: Fastest Model Yet ⚡️

Google has rolled out Gemini 3.1 Flash-Lite, touting it as the quickest and most cost-efficient model in its Gemini 3 lineup, now available to developers and enterprises everywhere.

Built for ultra-fast, high-volume tasks, this model is already shaking up industries from software development to finance, promising lightning-fast responses and budget-friendly scalability. Flash-Lite claims to deliver smart, low-latency solutions at a price point that makes sophisticated automation more accessible than ever.

2. Perplexity Brings Local AI Agents to the Mac 🖥️

Perplexity has just launched its new Mac app, introducing Personal Computer—a major upgrade that brings its autonomous AI agents directly onto Macs and Mac minis.

The platform now works seamlessly with local files, native Mac apps, and the open web, letting teams of AI agents run tasks continuously and autonomously from your desktop. This marks a shift away from purely cloud-based operations, allowing users to harness powerful AI directly on the devices where most real work happens.

3. OpenAI Unveils Next-Gen Voice Models for Real-Time AI Apps 📲

OpenAI is shaking up the voice tech world with the release of three cutting-edge audio models, announced today.

The new API lineup includes GPT-Realtime-2 for smarter, more natural conversations, GPT-Realtime-Translate for live multilingual voice translation, and GPT-Realtime-Whisper for near-instant speech-to-text. This marks a big leap in making voice interfaces not just faster but actually useful for complex, real-world tasks, signaling that talking to AI is officially getting practical and intelligent.

4. OpenAI Unleashes GPT-5.5-Cyber for Critical Infrastructure Defenders 👮

OpenAI is rolling out GPT-5.5-Cyber in limited preview, targeting cybersecurity defenders responsible for securing vital infrastructure, as part of a broader push to democratize AI-powered defense.

The move comes hot on the heels of GPT-5.5’s release and the launch of Trusted Access for Cyber, which aims to ensure enhanced cyber tools go only to verified defenders. This initiative tightens safeguards while allowing authorized cyber teams more freedom to validate exploits and patch vulnerabilities, accelerating the security lifecycle.

5. Codex Gets Chrome Extension for Seamless Automation 🖱️

OpenAI has launched a new Chrome extension for Codex, making browser automation smoother and more efficient right from your desktop.

Codex now works quietly in the background across tabs, handling repetitive web tasks by writing and executing code as needed. The extension can mix plugins and browser tools to tackle complex workflows and logged-in sites, expanding Codex’s utility for coding, research, and dashboard management.

6. Cloudflare cuts staff as AI use surges 🪓

Cloudflare announced it is laying off about 20% of its workforce, or roughly 1,100 people, even as it posted its strongest quarterly revenue ever, underscoring how quickly AI is reshaping tech jobs.

According to the company, the cuts are directly tied to massive internal productivity gains from AI tools, not financial distress, despite the company still reporting a quarterly loss. Executives say AI has made teams dramatically more efficient, reducing the need for support roles while accelerating software development and other core work.

Seven AI upgrades dropped this week. All of them flew under the radar.

No new frontier model. No big announcements. Just quietly updated tools your team uses every single day, getting a whole lot more capable.

Every week, some teams pull ahead. This was one of those weeks.

That's what we covered on today's Everyday AI: seven features you can start using right now.

1. Codex Lands Inside Your Actual Chrome Profile 🌐

OpenAI's Codex agent can now operate directly inside the Chrome profile you're already signed into, running in parallel across tabs in the background without taking over your browser.

That last part is the unlock. Claude's computer use takes over your browser. The Claude Chrome extension loses history the moment you close it. Codex does neither.

Available now on Mac OS and Windows, included in any paid ChatGPT plan.

Try This

Install the Codex Chrome plugin today and give it one task that touches a site you're already signed into.

If it runs while you keep working, you just found your new agentic baseline.

2. Microsoft Copilot Cowork Reaches Your Phone 📱

Copilot Cowork just landed on iOS and Android, and here's what makes it different from Anthropic's version: it doesn't require your local machine. It runs in Microsoft's cloud, so the mobile app is just a remote connection to an already-running environment.

Start a task from your commute. Come back to a finished outcome.

Access requires the Microsoft Frontier program plus a Microsoft 365 Copilot premium license. Broader availability targeted around July.

Try This

Delegate one real task from your phone the next time you're away from your desk.

If the outcome is waiting when you get back, start thinking about what else your team is still handling manually.

3. Anthropic Drops 10 Finance Agent Templates 💼

Anthropic released 10 prebuilt agent templates for financial services: pitch builder, meeting preparer, earnings reviewer, model builder, market researcher, valuation reviewer, general ledger reconciler, month end closer, statement auditor, and KYC screener.

Each template packages skills, connectors, and sub-agents together so your team can compress setup from many weeks down to days or hours.

Deploy as plugins inside Claude Cowork or Claude Code. Access through the Anthropic Financial Services Marketplace on GitHub.

Try This

Pull up the Anthropic Financial Services Marketplace on GitHub and look at the KYC screener or month end closer first.

If the prewired logic maps to how your team actually works, you're a lot closer to running than you probably think.

4. Gemini Gets Persistent Instructions in Google Docs 📝

Google added persistent custom instructions to Gemini inside Google Docs. Set your rules once and Gemini applies them to every doc you work in going forward.

Not per doc. Every doc.

Rolling out gradually over the next few weeks. US and English only for now, business and enterprise accounts with Gemini alpha features enabled.

Try This

Set two or three rules you repeat constantly (tone, words to avoid, formatting standards) in Gemini settings inside Google Docs.

If it nails it on the first pass, y'all just cut your editing loop in half.

5. Perplexity Personal Computer Opens to All Paid Mac Users 💻

Perplexity Personal Computer is now available to all paid Mac users. No waitlist. No $200 a month Max plan required.

Quick clarification since the naming is confusing: Perplexity Computer runs online. Personal Computer runs locally on your machine and can actually control your Mac.

The catch? Perplexity chooses the model for you, and you'll burn through your plan limits pretty quickly. If you want full control and don't mind setup time, OpenClaw is the open-source alternative.

Try This

Update the Perplexity Mac app and give Personal Computer one task that requires moving across multiple apps.

If it handles it without you babysitting it, that's a pretty frictionless path to computer agents right there.

6. Copilot Studio Builds Workflows From Plain English 🔧

Microsoft Copilot Studio now lets you describe a workflow in natural language and it builds the nodes, connectors, and conditional logic for you. No manual configuration required.

Think of it as an autonomous agent and a traditional workflow builder combined, living inside your existing Microsoft environment.

Rolling to general availability later this month. Check your Copilot Studio environment now.

Try This

Describe one workflow your team runs manually every week and let Copilot Studio build it.

If it generates a usable flow on the first try, stop building these by hand. Don't look back.

7. GPT 5.5 Instant Becomes the New ChatGPT Default 👑

OpenAI replaced GPT 5.3 instant with GPT 5.5 instant as the default ChatGPT model. If you never touch the model picker, you're already on it, and Sam Altman said last summer that something like 93% of users never do.

OpenAI says it produces 52% fewer hallucinated claims than 5.3, with 37% fewer inaccurate claims in conversations flagged for factual errors. The writing is also noticeably less sycophantic than most default AI outputs right now.

Less "you're absolutely right" energy. More accurate, more useful.

Already live for free, Plus, and Pro users.

Try This

Run a task you'd normally Google through GPT 5.5 instant instead.

If it's cleaner and more accurate than expected, you might have a new daily driver for fast lookups.

Ep 772: AI You Can Trust: When Good Enough Isn’t Actually Good Enough

Everyday AI — Thu, 07 May 2026 16:00:54 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

In Partnership With Sage

Sage: Finance AI That You Can Trust

If you want to see what AI actually looks like inside finance and accounting work, stop reading the hype cycle and start watching Sage.

Sage is one of the largest accounting and financial software companies in the world, powering millions of small and mid-sized businesses. At Sage Future, Sage expanded its AWS collaboration to put real AI agents into real finance workflows, built on Amazon Bedrock AgentCore and available in AWS Marketplace.

All of it sits under a renewed commitment to AI you can trust: confidence, control, and accountability. See how Sage is changing how high-performance finance teams work with AI.

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: AI can now do more work than ever, but businesses are realizing “good enough” outputs aren’t good enough when trust and accuracy matter. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Gemini is getting a new Agent Mode, Google Search is pulling more real-world advice from forums, Flow could soon automate parts of filmmaking and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Google just launched a unified AI health app, Adobe turned Acrobat into an AI-powered workspace, OpenAI’s former CTO accused Sam Altman of lying during the Musk trial, and more. Read on for Byte Sized News.

💪 Leverage AI: AI can now handle huge parts of finance work, but if the outputs aren’t accurate, explainable, and auditable, the CFO is still the one taking the risk. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Apple settled its iPhone AI lawsuit, OpenAI released new infrastructure tech for massive AI clusters, and Google DeepMind staff are pushing back on military AI work, and more. Check it here!

Ep 772: AI You Can Trust: When Good Enough Isn’t Actually Good Enough

What good is AI if you can't trust it?

Everyone's racing to do more, build more, ship more agents. But if you're scanning an AI output and say it looks good enough, that isn't actually good enough.

Especially when it comes to your company's finances.

If you're a CFO, a finance leader, or running an SMB where one wrong number sends everything sideways, having trust in your AI is paramount.

On today's show, we're getting into why the model alone won't save you, where finance pros should actually be spending their time now, and why most companies are thinking about AI risk backwards.

Helping us break it down is Jeremiah Edwards, Head of Sage AI, from Sage Future last week.

Also on the pod today:

• Auditing your AI tools 🔍
• Explainability: why numbers matter 🧾
• Sage Copilot’s new agentic powers 🤖

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – FlowMarket Creates your AI agent and let it discover, match, and engage with the right companies automatically, Lingo.dev is The localization engineering platform, Generate.ai gives revenue teams visibility into buyer-side shifts before they impact revenue

Gemini Agent Mode — Google is testing a new Gemini Agent Mode with its own tab, promising smarter automation for inboxes, meetings, and more

AI for Small Businesses — Google’s new video series shows how real businesses use AI to save time on everything from emails to finances.

Google Search Updates — Google’s AI search now shows more direct links, previews, and personal insights to help you find trusted sources faster.

Google Search Reddit — Google's AI Search now pulls in real advice from Reddit and forums, making it easier to find trusted, firsthand info.

Antigravity Updates — Google might soon let Gemini watch your screen in real time, with custom agents and folders for smarter AI help

Flow Agent Mode — Google’s Flow may soon let you chat your way through filmmaking, with an Agent Mode that plans, edits, and manages projects for you.

EVE Online AI — EVE Online’s creators are striking out solo as Fenris Creations, with Google DeepMind joining for an AI experiment.

Flow Music and Believe — Google is teaming up with Believe to give artists early access to Flow Music and the powerful new Lyria 3 Pro AI tools.

1. Google Launches Unified Health App and AI Coach 🫀

In a major move today, Google announced the launch of the Google Health app, merging Fitbit, Google Fit, and medical data into a single hub.

The company also rolled out its new AI-powered Health Coach as part of a rebranded Google Health Premium subscription, aiming to provide round-the-clock personalized wellness guidance. Google is betting big on proactive, continuous health support with its new screenless Fitbit Air tracker, designed for all-day comfort and deeper integration with its AI coach.

2. Adobe Unleashes AI-Powered PDF Productivity Agent 📰

Adobe just launched its new productivity agent, a turbocharged AI tool that transforms Acrobat into a workspace for smarter content creation and sharing, all in one streamlined interface.

This rollout marks a major shift, introducing "PDF Spaces"—where users can merge documents, links and notes, generate audio summaries and get instant insights with an AI assistant. By integrating these features into Acrobat Express and Studio, Adobe is positioning itself as the leader in interactive document experiences at a time when collaboration tools are rapidly evolving.

3. Court Testimony: Former OpenAI CTO Didn't Trust Altman 🗣️

OpenAI’s former CTO Mira Murati has testified under oath that CEO Sam Altman lied to her about safety protocols for a new AI model, an accusation that surfaced during the high-profile Musk v. Altman trial this week.

Murati claimed Altman misrepresented the legal department’s stance, complicating her role and creating internal “misalignment” about safety standards. She stated that Altman’s actions undermined her ability to do her job in a fast-moving, complex organization.

4. Anthropic Unveils New Research Agenda to Track AI’s Real-World Impact 🌎

Anthropic’s new research agenda, announced today, signals a major push to publicly track how AI is reshaping the economy, security, and society from inside one of the world’s top labs.

The company is promising unprecedented transparency, releasing detailed data like the Anthropic Economic Index, and actively inviting outside researchers to join their efforts through a fellowship program. The agenda zeroes in on how AI is transforming jobs, creating new risks, and even accelerating its own development, with the goal of giving governments, organizations, and the public a front-row view of these seismic shifts.

5. Report: Meta’s Agentic AI “Hatch” Nears Debut 🤖

Meta is reportedly accelerating its push into agentic AI with “Hatch,” a new consumer-focused assistant already surfacing in the company’s codebase and set for internal testing by late June, according to The Information and the Financial Times.

Positioned as Meta’s answer to OpenAI’s OpenClaw, Hatch blends image and video generation, shopping, and research features while tapping into Instagram and Facebook for social-savvy workflows. Early access will be tightly controlled behind a waitlist, but Meta’s rapid build signals a release could come sooner than expected.

When the IRS comes knocking, it's not Claude sitting in the hot seat. It's the CFO.

How?

That accountability gap is what most AI deployments in finance completely skip over. At Sage Future in San Francisco, Jeremiah Edwards, the head of Sage AI sat down with us to break down exactly why "good enough" AI literally isn't good enough when your books are on the line.

Most finance leaders keep asking which AI model to use. Wrong question.

What's the real issue? The best model in the world can't do your accounting if it isn't grounded in real data, connected to the right tools, and wrapped in a governance layer that makes every answer auditable.

Don't worry if this sounds technical. We've got the nontechnical breakdown for finance leaders and CFOs to act on.

On today's Everyday AI, we went deep on why trust and explainability aren't nice-to-haves in finance AI, plus the three moves every leader should be making right now. Let's get after it.

1. Stop Asking "Which Model?" Ask This Instead 🔥

Most finance leaders prolly obsess over which model to use, whether that's Claude, ChatGPT, or Gemini. The model isn't the bottleneck.

What actually determines whether your AI gives you trustworthy numbers? It's the full stack: model plus grounding in real data, plus the tools it has access to, plus a governance layer that controls what it does.

Sage Copilot layers control and context over whichever frontier model powers it, which means Sage can swap models as better ones ship without breaking the accountability chain.

Your finance team gets world-class AI without inheriting world-class liability.

Your job is building the RIGHT system around it.

Try This

Pull up whatever AI tool your finance team uses today. Ask it to show you exactly how it arrived at a specific number.

If it can't show its work, that's your audit risk. Ask your vendor: "Where does every answer come from, and can we see every step?" That answer tells you whether the tool belongs near your general ledger.

2. Explainability Is a Design Choice, Not a Feature ⚡

71% of finance leaders would reject AI that can't explain itself. The stat isn't the surprise.

What's wild is how many tools ship without explainability built in anyway.

Sage built chain-of-thought reasoning and full audit trails into Sage Copilot as first-class design principles, not afterthoughts.

Every step the finance intelligence agent takes is visible, including data sources, API calls, and the model's reasoning.

Here's the gnarly part.

Without that transparency, the CFO is still accountable when something goes wrong but has no way to explain how it happened.

Finance AI you can't audit is a liability dressed up as productivity. The ones building it right treat explainability as table stakes, not a differentiator.

Try This

Block 30 minutes to review your current AI tools through one lens: explainability. Not "does it work?" but "can we see how it got here?"

Run a real question and trace the reasoning trail. If there's no trail, that tool isn't ready for anything near your financial close.

Document what you find and share it with your team this week.

3. The CFO's New Job Is Governance, Not Calculation 🚀

AI is already handling the accounts payable work your team used to do manually. That freed-up time doesn't disappear.

It moves.

The finance function shifts from doer to reviewer. AI handles the batch cycles while humans own the judgment calls, anomaly reviews, and forward-looking strategy.

What's the opportunity? Sage's finance intelligence agent can help close books up to 10 days faster than traditional processes, which means 10 days of looking ahead instead of cleaning up the past.

The CFOs pulling ahead are redeploying that time into continuous accounting and REAL decisions, not quarterly batch reviews of last quarter's numbers.

Try This

Map where your finance team's time actually goes this week. Split it into two buckets: backward-looking work like reconciliation and data entry, and forward-looking work like forecasting and strategy.

If backward work tops 60% of the total, that's your AI roadmap. Accounts payable automation is the first safe win.

Layer in more agentic capabilities as trust builds over time.

Ep 771: ChatGPT Workspace Agents: How to Use OpenAI’s Most Overlooked New Feature

Everyday AI — Wed, 06 May 2026 18:39:36 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Workspace agents might’ve been OpenAI’s most overlooked release this year, giving teams AI agents that can connect to apps, run workflows, and work directly inside Slack. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Google is testing major upgrades for its Antigravity IDE, Google Home just got smarter with Gemini 3.1, and Perplexity launched a real-time finance search API, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Apple settled its iPhone AI lawsuit, OpenAI released new infrastructure tech for massive AI clusters, and Google DeepMind staff are pushing back on military AI work, and more. Read on for Byte Sized News.

💪 Leverage AI: How can your team use Workspace Agents? We walk you through it. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Big Tech is giving the U.S. early access to AI models, ChatGPT just upgraded to GPT-5.5 Instant, and Gemini Flash 3.2 is on the way, and more. Check it here!

Ep 771: ChatGPT Workspace Agents: How to Use OpenAI’s Most Overlooked New Feature

Did you ACTUALLY MISS OpenAI’s big Workspace Agents announcement? 🤔

You might have.

Sandwiched between huge announcements like GPT-5.5 and Images 2, OpenAI’s crazy powerful Workspace Agents didn’t get much media or human attention since release.

That’s one reason why we HAVE to go live and show you the basics of how they work, why you should be using them, and the best practices to start converting your manual workflows into Workspace Agents today.

Also on the pod today:

• Drag-and-drop agent builder demo 🧩
• Audit every agent workflow 👀
• Automate tasks across apps ⚡

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Kanwas gives teams & agents one place to create, edit, share and compound product context, Inworld Realtime TTS-2 is The #1 ranked, most natural voice AI, Contrario is the AI Recruiting Platform powered by expert recruiters.

Google Antigravity — Google’s Antigravity IDE is testing screen sharing for agents and support for custom plugins, hinting at big upgrades to flexibility and visibility.

Meta Bone Analysis — Meta is now using AI to spot underage users by analyzing photos, videos, and profile clues.

AWS Agents — AWS is letting AI agents control its cloud PCs, but it could cost you big compared to using APIs.

Google Home Gemini Upgrades — Google Home just got smarter with Gemini 3.1, now handling multiple commands at once and better managing your smart devices.

Google Seperate I/O Event — Google is hosting a special Android Show right before I/O, hinting at a flood of new Gemini AI features for your phone.

Maket AI — Maket's AI lets anyone design floor plans in minutes, no architecture skills needed.

Perplexity Finance Search — Perplexity just launched Finance Search, letting you pull real-time, cited financial data straight into your tools with one API call.

AI Infra — OpenAI just rolled out MRC, a new networking protocol that lets over 100,000 GPUs train together faster and with fewer failures. Here’s how it works.

Microsoft Index Report — Most organizations using Microsoft 365 are falling behind their own employees when it comes to AI, while top “Frontier Firms” are setting the pace

AI Copyright — Meta is being sued by major publishers and author Scott Turow for allegedly using millions of books to train its AI.

1. Apple Settles iPhone AI Lawsuit, Cash Payouts Ahead 📱

Apple just agreed to a $250 million class action settlement after being accused of misleading U.S. customers about its hotly-hyped Apple Intelligence features on the iPhone 16 and iPhone 15 Pro.

If you bought one of those devices between June 2024 and March 2025, you could get up to $95 per phone, though most will see closer to $25, depending on how many people file claims. The lawsuit claimed Apple’s marketing set unrealistic expectations for its AI rollout, which arrived late and missing many promised features.

2. Anthropic Taps SpaceX Compute Ahead of IPO 🚀

Anthropic announced Wednesday that it will use all the compute capacity at SpaceX’s Colossus 1 data center, instantly adding access to more than 220,000 NVIDIA GPUs and expanding service for Claude’s paid users.

The timing is notable, with SpaceX just weeks from a highly anticipated IPO, giving the company a high-profile AI customer as it pitches itself as more than a rockets-and-satellites business. The deal strengthens Anthropic’s fast-growing web of compute partnerships as it races to scale globally and meet demand in regulated markets.

3. OpenAI Opens Up Ads Manager, Drops Big Spend Requirement 💸

OpenAI is shaking up the ad world by making its self-serve ads manager available to all U.S. advertisers and slashing its $50,000 minimum spend, finally welcoming smaller businesses into the ChatGPT advertising fold.

The company is moving fast, with cost-per-action bidding and third-party measurement tools in the pipeline, though details are still under wraps. OpenAI remains cautious about ad quality and brand safety, keeping tight control over ad delivery while slowly expanding eligible categories.

4. ServiceNow and NVIDIA Unveil New Era of Autonomous Enterprise AI Agents 🤝

At ServiceNow Knowledge 2026, tech titans ServiceNow and NVIDIA announced a major leap for enterprise AI, unveiling Project Arc, an autonomous desktop agent that brings advanced, secure automation to the workplace.

This partnership combines ServiceNow's workflow intelligence with NVIDIA's accelerated computing and open models, aiming to make AI agents smarter, safer, and easier to manage at scale. With innovations like NVIDIA OpenShell for secure agent execution and a focus on real-world performance, the companies are providing the infrastructure and guardrails enterprises need to trust AI with complex tasks.

5. Anthropic Adds Self-Improving “Dreaming” to Claude 😶‍🌫️

At its San Francisco developer day on Wednesday, Anthropic previewed a new Claude feature called “dreaming,” signaling a push toward more self-improving AI agents.

The research feature lets Claude review its own work between sessions, spot patterns, and update stored context like user preferences without human prompting. In simple terms, Anthropic is testing whether AI agents can get better at their jobs on their own over time, not just during active use.

6. Google DeepMind Staff Push to Unionize Over Military AI Concerns 🪖

In a bold move, nearly all unionized staff at Google DeepMind’s London headquarters have voted to unionize, demanding their AI work not be used for military purposes or to aid in international law violations.

Workers are calling on Google to formally recognize the union within ten days or face legal action, highlighting fresh tensions over tech’s role in global conflicts. The letter to management urges a ban on developing AI for weapons or surveillance and seeks the right to refuse work that clashes with personal ethics.

Most enterprise leaders still think ChatGPT is a chat box. OpenAI just quietly turned it into a deployable team employee that works overnight, connects to all your org's apps, and never gets distracted.

Your competitors are already building them.

OpenAI launched Workspace Agents two weeks ago. They're Codex-powered, cloud-running, and shared across your entire org. The free research preview just ended, and credit-based pricing starts today.

"That's an enterprise thing, not for my team." You know that thought.

Biiiig mistake.

We've got the full breakdown for every leader, technical or not.

What do Workspace Agents actually unlock?

They replace every workflow where you're manually carrying context between apps: briefings, lead research, weekly digests, Slack-triggered responses. All of it running in the cloud, every step auditable.

On today's episode of Everyday AI, we went hands-on building one live, showed how Workspace Agents compare to Codex and GPTs, and mapped out the three moves your team needs to make right now.

You've gotta window. Let's get after it.

1. Replace Your Team's Human Duct Tape 🔥

Your team has workflows where a human is the glue. An email lands, you open three apps, look something up, update a spreadsheet, fire a Slack message.

That whole chain, over and over. Workspace Agents can replace all of it, running in the cloud with zero local computer dependency.

What does that actually look like in practice?

In our example on today’s show, we had an agent connects to beehiiv via a custom MCP, pulls the five most-clicked stories from each of the past five newsletter issues, filters for actionable AI features, and emails a synthesized digest every Thursday at five PM. A process that used to take over an hour of clicking, reading, and getting pulled down rabbit holes.

Now it just runs. WITHOUT YOU. Think of that across a handful or a dozen of your most common workflows.

Try This

Pick one workflow your team repeats every week that crosses at least three apps. Write it out step by step like you're onboarding a new hire.

Then open the Agents tab in ChatGPT and describe it in plain English. Let the builder connect your apps, suggest a schedule, and draft the workflow in minutes.

Run it once. If the output looks close, you've prolly just bought back two-plus hours a week. That's your ROI case for the rest of your team.

2. Your Team's First Auditable AI Worker ⚡

GPTs never let you see what they actually did and couldn’t easily “do” the work or create artifacts. Workspace Agents log everything.

Every run logged. Every step traced. Every output reviewable.

Here's where it gets REAL for enterprise teams.

Role-based access controls let admins decide who builds agents, who uses them, and which tools each agent can touch. Build once, share across the org.

What one person builds this week becomes team infrastructure by next Monday. Persistent memory means the agent learns your processes over time, so next week's run knows what last week's run found.

What does this mean for your AI strategy?

You can move from individual AI productivity to SHARED organizational execution. That's the actual shift that's been missing.

Try This

After your first agent runs, don't just check the output. Click into the Activity log and trace every step it took to get there.

If the result missed the mark, you'll see exactly where the chain broke. Fix that one step. Rerun.

The audit trail isn't just governance. It's the tool that makes your agent sharper every week, and the fastest way to get skeptical leadership to trust what it's doing.

3. GPTs vs. Codex vs. Workspace Agents: Pick One 🚀

Today Workspace Agents pricing flips to credit-based. That free launch window just closed.

So which tool do you actually use?

GPTs still work fine for one-off in-chat tasks. But if you're on a team plan, stop building new ones.

OpenAI is building a conversion tool to move your existing GPTs into Workspace Agents. Don't invest more in a format that's likely to be phased out.

Codex is more powerful, but your machine has to stay on for automations to run. Workspace Agents run 24/7 in the cloud with ZERO machine dependency.

If your team runs on ChatGPT Business or Enterprise, Workspace Agents are your default automation layer right now. Not on a team plan yet? Two ChatGPT Business seats run $20 per person per month. Better rate limits than the $100 solo plan, for less money.

Try This

Write down the three most repetitive multi-step workflows your team does every week. For each one, ask: does it cross more than two apps? Does it need to run on a schedule? Does more than one person on your team do some version of it?

If yes to all three, that's a Workspace Agent job. Start with the one that wastes the most hours. You don't need a perfect workflow to start. The first draft gets you 80% of the way there.

Ep 770: What’s Coming Next: 5 AI Trends, Problems and Opportunities around the Corner

Everyday AI — Tue, 05 May 2026 18:03:15 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: AI is moving faster than companies can keep up—here are 5 trends, problems, and opportunities coming next. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Anthropic is teasing a proactive AI assistant, Google AI Studio just added live editing tools, and OpenAI made voice AI feel nearly instant, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Big Tech is giving the U.S. early access to AI models, ChatGPT just upgraded to GPT-5.5 Instant, and Gemini Flash 3.2 is on the way, and more. Read on for Byte Sized News.

💪 Leverage AI: Employees are already running agents, testing tools, and learning AI after hours while most companies are still stuck on training plans and approvals. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Trump considers AI model oversight, OpenAI starts The Deployment Company, Treasury warns of AI-fueled cyber risk. Check it here!

Ep 770: What’s Coming Next: 5 AI Trends, Problems and Opportunities around the Corner

What's coming next in AI? 🤔

While no one knows, spending time in Silicon Valley and San Francisco recently helped give me a better idea of what's around the corner.

So what should you be paying attention to?

Tune in LIVE as we discuss.

What’s Coming Next: 5 AI Trends, Problems and Opportunities around the Corner -- An Everyday AI Chat with Jordan Wilson

Also on the pod today:

• AI generalists disappearing fast 🧠
• FOMAT: fear of missing agent time ⏰
• Enterprise AI training failing employees 🏢

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Flowstep Helps you Generate real UI in seconds, Intuned Agent builds production-ready Playwright code, deploys it, and fixes it when sites change, Airbyte connects to your tools and turns your business data into living context.

Anthropic Orbit — Anthropic is Teasing "Orbit," a proactive assistant that pulls insights from your favorite tools and lets you deploy custom apps.

AI Studio Edit Mode — AI Studio just dropped edit mode, letting you tweak UI components directly and swap images with Nano Banana.

TinyFish Free — TinyFish just made its Search and Fetch APIs free for all developers, no credit card needed

Gemma 4 Upgrades — Gemma 4 just got way faster thanks to Multi-Token Prediction drafters, letting you generate high-quality outputs up to 3x quicker with no quality loss.

Luma Arena — Luma’s UNI-1.1 models just stormed the Image Arena, outscoring rivals in both text-to-image and editing without agentic search.

OpenAI — OpenAI rebuilt its WebRTC stack to make voice AI feel instant, slashing lag and awkward pauses

Nano Banana AI Studio — Google AI Studio now uses NanoBanana to create custom images as you build, and the new edit tool lets you tweak everything visually.

Unity AI Beta — Unity AI is now in open beta, letting devs speed up game creation with smart tools built right into the editor.

Anthropic Finance — Claude just rolled out plug-and-play AI agents for finance, handling everything from pitchbooks to KYC in Excel, PowerPoint, Word, and more.

India Cybersecurity — India's PNB is boosting its cybersecurity budget as new AI models like Anthropic’s Mythos create new risks for banks.

Fortune 500 AI Monitoring — Nearly all Fortune 500 companies are monitoring AI use, which could impact how employees work and adapt. Curious about what this shift means for your job?

Pennsylvania taking Character.ai to court — Pennsylvania is taking Character.AI to court after one of its chatbots pretended to be a licensed doctor and offered medical advice.

1. Microsoft, Google, and xAI Grant U.S. Early Access to AI Models for Security Testing 🧠

In a timely move reflecting growing national security concerns, Microsoft, Google, and Elon Musk’s xAI have agreed to give the U.S. government a sneak peek at their cutting-edge artificial intelligence systems before public release, as reported by Reuters.

The Department of Commerce’s Center for AI Standards and Innovation will use this early access to test for security risks, a step prompted by rising alarm over the hacking capabilities of Anthropic’s new Mythos model. This collaboration aims to spot cyber and military threats before these AI tools hit the market, signifying a major shift in how Washington is handling AI oversight.

2. ChatGPT Gets Smarter with GPT-5.5 Instant 🤓

OpenAI just rolled out a major upgrade to ChatGPT, swapping its default model for the new GPT-5.5 Instant.

The update promises sharper, more accurate answers and a smoother conversational style, all while cutting down on mistakes in high-stakes topics like medicine, law, and finance. It’s now better at using your past chats, files, and even Gmail to personalize responses without making things cluttered or confusing.

3. Gemini Flash 3.2 Teases Big Leap Ahead of Google I/O ⚡️

With just weeks until Google I/O 2026, all signs point to a major upgrade for Gemini Flash, as hints of a 3.2 version briefly surfaced and deprecation notices for older models hit Vertex AI users.

Behind the scenes, insiders are buzzing about a new Gemini Flash candidate that rivals the much pricier Pro tier, suggesting Google's about to blend flagship reasoning with lightning-fast, budget-friendly models. For developers and everyday users, this means faster, smarter AI by default and a smoother transition off outgoing versions.

4. Perplexity Launches Computer for Finance Teams 💸

Perplexity has just released its Computer platform tailored for finance professionals, giving teams instant access to licensed data from industry leaders like Morningstar and PitchBook.

Alongside, the company rolled out 35 dedicated finance workflows designed to automate analysts’ weekly routines and boost productivity. New features include instant company briefs, annotated stock charts, and smarter screening tools for research-heavy tasks.

5. OpenAI and Anthropic Ramp Up AI Deployment Arms 💪

OpenAI and Anthropic are making headlines as they race to acquire engineering and consulting firms, aiming to supercharge enterprise AI deployment, Reuters reports.

Both companies are raising billions through joint ventures with major private equity players, signaling a shift from building AI models to helping businesses actually put them to work. This marks a new phase in the AI competition, as skilled talent and hands-on services become the hottest commodity for scaling artificial intelligence.

6. Microsoft: AI at Work Is a System Shock, and Most Companies Aren’t Ready 💻

A fresh 2026 Work Trend Index report from Microsoft reveals that while employees are quickly embracing AI and using it to tackle higher-value work, the real holdup is old-school organizational systems that can’t keep up.

The research found that workers using AI are more productive and creative, but only 19% of organizations are truly enabling both their people and their tech to work hand-in-hand. The study warns that companies failing to redesign how they operate risk falling behind, as “Frontier Firms” are already creating smarter, self-improving workplaces by capturing and learning from every AI-driven workflow.

Your AI strategy is probably too slow for the people already using AI best.

The uncomfortable truth from the AI frontier is simple: the workers pushing AI hardest aren’t waiting for better enterprise plans. They’re experimenting faster than their companies can train, govern, budget, or redesign work.

That’s a problem.

Because when AI specialists multiply, agents run in the background, autonomous systems move into the real world, and employees are doing “AI homework” after hours, the real gap isn’t tool access.

It’s whether your company can turn all of that chaos into operating advantage before it turns into risk.

That’s what we tackled on today’s episode of Everyday AI: five AI trends, problems, and opportunities leaders need to understand now, from autonomous vehicles and disappearing AI generalists to FOMAT, AI homework, and the acceleration gap coming for every org chart.

1. Watch embodied AI closely 🚗

Autonomous vehicles might feel like a random consumer tech story.

They’re not.

The transcript frames Waymo as a signal that AI is moving from screens into the physical economy, and that shift matters way beyond rides. Delivery robots, drone delivery, autonomous transport, and real-world robotics are all part of the same bigger pattern.

AI isn’t just helping people type faster.

It’s starting to act in the world.

Try This

Pick one physical workflow in your business and ask where autonomy could remove delay, risk, or human inconsistency.

Start boring: deliveries, site inspections, inventory checks, facilities monitoring, handoffs, routing, or anything with repeated movement through the real world.

2. Fund the translator layer ⚡

AI generalists are getting rarer right when companies need them most.

That’s a problem because AI has split into too many working languages: text, agents, audio, video, image, vibe coding, agentic QA, orchestration, trust, observability, and local models.

Specialists are mandatory.

But without adaptive generalists, your technical teams talk past your business teams, your business teams misunderstand what’s possible, and your AI ROI quietly wanders into a ditch.

Try This

Assign one AI translator per function.

Their job is to map tools, workflows, risks, duplicated experiments, and opportunities across teams so leaders can see what’s actually happening instead of guessing from vendor demos.

3. Stop normalizing AI homework 🔥

The transcript’s biggest management problem is painfully simple.

People are learning AI after work because their actual workday is already full.

That creates shadow AI, uneven skill development, personal-subscription chaos, security risk, and burnout with a fun little innovation sticker slapped on top.

If your best people need nights and weekends to understand tools your company expects them to use, that’s not ambition.

That’s a broken operating model.

Try This

Create a weekly AI sandbox block.

Give one team four hours, a safe environment, clear rules, and one Friday debrief: what worked, what failed, what could move into production, and what needs governance first.

4. Treat agents like labor 🧠

FOMAT sounds goofy.

It’s actually a warning.

Fear of missing agent time means high performers are starting to think of idle machines as wasted productivity. Codex, Claude Code, local models, and desktop agents aren’t just tools sitting there waiting for clicks.

They’re becoming parallel work capacity.

That changes productivity, meetings, workflows, and how leaders should think about “headcount” without immediately turning into the worst person in the room.

Try This

Identify one workflow where an agent could run while a human does higher-judgment work.

Then define the handoff: what the agent can do, what it can’t touch, when a human reviews it, and what proof is needed before the work moves forward.

5. Close the acceleration gap 🚀

The scary part isn’t that AI is moving fast.

Everyone knows that. Congrats, we all own calendars.

The scary part is that capabilities, spending, agent adoption, and model behavior are moving faster than training, governance, job design, and executive understanding.

The transcript cites Gartner projecting worldwide AI spending will hit 2,500,000,000,000 in 2026, up 44%, and Microsoft saying active Microsoft 365 agents grew 15x year over year.

That gap is where advantage lives.

It’s also where things break.

Try This

Rewrite one AI-exposed job description before Friday.

Define what the human stops doing, what agents handle, what requires approval, what new judgment skills matter, and what guardrails need to exist before anyone celebrates the productivity gains.

Ep 769: Musk vs. OpenAI trial heats up, Pentagon makes big AI deal, OpenAI shifts its strategy and more

Everyday AI — Mon, 04 May 2026 22:30:46 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: OpenAI had a BIG week and grabbed all kinds of headlines. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: OpenAI's Greg Brockman takes stand against team Elon, IbM and Oracle's big agentic partnership, Perplexity Computer drops on teams and more.. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Trump considers AI model oversight, OpenAI starts The Deployment Company, Treasury warns of AI-fueled cyber risk. Read on for Byte Sized News.

💪 Leverage AI: You probably missed some big AI developments that matter for your company. We break it all down. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Pentagon gets AI official with Big Tech, Google tests local agent then pulls it, OpenAI makes non-techie Codex push and more. Check it here!

Ep 768: Microsoft Outlook Goes Agentic, Gemini Gets File Creation, Manus brings Cloud computer and More. 7 New Practical AI Upgrades

The Elon Musk vs. OpenAI trial is underway, and it's already getting spicy. 🌶️

The Pentagon quietly makes a massive deal with AI companies. 🤝

OpenAI has shifted its AI strategy both with its products and partnerships. 🧑‍💼

And that's just the beginning. Don't waste hours a day trying to keep up with AI, that's what we do when we bring you our Monday 'AI News That Matters' segment.

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Mindra is an agent team you can delegate to, Flowly is an AI assistant on your desktop, Schole turns everyday work into personalized learning.

Musk Vs. OpenAI Trial — Greg Brockman told a judge his OpenAI stake is nearly $30 billion, fueling Elon Musk’s lawsuit over the company’s nonprofit roots.

AI’s Local Impact — OpenAI shared the local impact of building AI.

Big AI Partnership — IBM and Oracle are marking 40 years together with new hybrid cloud and agentic AI integrations across OCI, Red Hat, Maximo, Fusion ERP, and security.

AI and Cancer — An AI model spotted subtle signs of pancreatic cancer on CT scans up to three years before diagnosis

Perplexity Computer — Perplexity Computer brings research, analysis, and report creation directly into Microsoft Teams, cutting down tool-hopping.

AI and Politics — Former President Obama shrugged off an AI video from Trump that depicted him and Michelle Obama as apes but drew a firm line at dragging families into attacks.

Future AI — The Roomba co-founder just showed off a cuddly four-legged AI robot meant to act like a pet, not a gadget.

1. OpenAI Raises $4B for They Deployment Company 🧑‍💼

According to Bloomberg, OpenAI has secured more than $4 billion for a newly formed joint venture called The Deployment Company, signaling a fresh and aggressive push to get its software deeply embedded inside large businesses right now.

The venture brings together 19 private equity backers including TPG, Brookfield, Advent, and Bain Capital, with OpenAI committing $500 million upfront and holding super‑voting control, while investors are reportedly guaranteed a 17.5 percent annual return, per the Financial Times. The effort builds directly on OpenAI’s Frontier enterprise platform and its consulting partnerships with firms like McKinsey and Accenture, turning experimental AI pilots into full corporate rollouts.

2. Anthropic partners with Wall Street to fast‑track AI adoption 🏦

Anthropic announced Monday it is joining forces with Goldman Sachs, Blackstone, and other heavyweight investors to launch a $1.5 billion firm focused on rolling out AI inside real businesses, according to CNBC.

The new venture will place engineers and Anthropic’s Claude model directly into portfolio companies, tackling a growing shortage of people who know how to turn AI tools into working operations. Backed by firms including Hellman & Friedman, Apollo, and General Atlantic, the group will start with private equity owned companies across sectors like healthcare, manufacturing, and finance.

3. White House Weighs AI Pre-Release Reviews 🕵️

According to The New York Times, the Trump administration is considering an executive order that would require government review of powerful new AI models before they go public, a sharp shift from its earlier hands-off stance.

The talks come amid a shakeup in White House AI leadership and rising concern over Anthropic’s highly touted Mythos model, which drew attention for claims it could uncover massive security flaws. Officials say the plan would give agencies like the NSA early access to frontier models without blocking their release, echoing approaches used in the UK.

4. Treasury and Fed Warn Banks About AI‑Driven Zero‑Day Cyber Risk ⚠️

U.S. Treasury Secretary Scott Bessent and Fed Chair Jerome Powell recently convened top Wall Street bank CEOs to flag a growing threat from advanced AI systems that can rapidly discover undisclosed software flaws.

According to people familiar with the meeting, tools like Anthropic’s Mythos are powerful enough to expose vulnerabilities in critical banking infrastructure before human teams can react. Regulators now view frontier AI as systemically relevant, placing cyber risk alongside core financial stability concerns.

5. New Data: AI Investment Accounted for Over 75% of U.S. GDP Growth in Q1 📈

New federal data and recent comments from former Trump AI advisor David Sacks underscore how narrowly focused U.S. economic growth has become.

The Bureau of Economic Analysis shows that most GDP growth last quarter came from AI-related business investment, while consumer spending and job creation slowed. Sacks warned that slowing AI development would effectively stall the economy, even as administration promises of a manufacturing-led jobs boom have yet to materialize.

One company rewrote its Microsoft deal, signed a $38 billion cloud agreement with Amazon, prepped a super app, and fought Elon Musk in federal court.

OpenAI's week was that loaded.

Add in big tech earnings that finally buried the AI bubble narrative and a new Microsoft platform quietly watching every AI agent inside your company — and yeah.

You needed this one.

1. The Musk vs. OpenAI Trial Is Getting Interesting ⚖️

A high-stakes legal battle between Elon Musk and OpenAI kicked off last week in an Oakland federal courtroom, and week one was Musk's show.

Musk spent three days on the stand, arguing the company betrayed its founding nonprofit mission by converting to a profit-driven model. His core claim: you can't just hand a charity to shareholders. OpenAI's counter is that its nonprofit parent still exists and that Musk himself supported the for-profit shift before walking away.

Brockman is scheduled to testify this week. Altman takes the stand the week of May 11. Satya Nadella may also be called, with Musk alleging Microsoft improperly funded OpenAI's commercial transition.

Starting this week, the courtroom streams live audio on YouTube.

One early bombshell worth flagging: Musk essentially admitted xAI used distillation techniques on OpenAI models to help train Grok. He wasn't exactly direct. But reporters in the room said the implication was clear.

What it means: If Musk wins, it doesn't just hit OpenAI. It reshapes how for-profit AI conversions work across the industry. Week one was Musk's show. This week OpenAI gets to respond, and that's where it gets genuinely interesting.

2. The Pentagon Just Cleared Almost Everyone Except Anthropic 🪖

Reports out last week confirmed the Department of Defense signed new agreements with NVIDIA, Microsoft, Amazon Web Services, and Reflection AI, clearing them to deploy AI on its most sensitive classified military networks.

These four join SpaceX, OpenAI, and Google, which had already reached similar deals. That's effectively the entire AI industry in one room.

Except one company.

The agreements cover Impact Level six and seven systems, the highest US security classifications reserved for national security data. The Pentagon says the move specifically targets AI vendor lock-in prevention and long-term flexibility.

Anthropic is still in court with the Pentagon after resisting demands for unrestricted access to its AI. Anthropic recently won an injunction blocking the Defense Department from labeling it a supply chain risk, so they're not out of the fight yet.

What it means: When every other major AI player has signed and you're the holdout, negotiating leverage shrinks fast. Anthropic may be right on the substance. But that position gets harder to hold when literally everyone else in the room has already said yes.

3. Big Tech Just Buried the AI Bubble Narrative ☠️

This past week, four of the world's largest tech companies reported quarterly earnings, and the numbers made the AI bubble crowd very quiet.

Alphabet posted $109 billion in revenue with 22% growth, marking its 11th consecutive quarter of double-digit gains. Revenue from AI-powered products soared nearly 800%, and demand for AI compute actually outstripped supply. Amazon's cloud division, AWS, climbed 28% year over year to more than $37 billion, setting a record quarter-over-quarter jump. Meta and Microsoft rounded out a very strong reporting cycle.

Welp. The dot-com bubble comparison was always weak. The late nineties ran on speculation. This runs on six of the seven largest companies in America generating real, growing, enormous AI-driven revenue.

What it means: One bad quarter from any of these giants and the bubble talk comes roaring back. The data right now says otherwise. Real revenue is a very different story than hype, and right now revenue is winning that argument by a lot.

4. Microsoft Now Wants to See Every AI Agent Running in Your Company 🔍

Microsoft announced this past week the general availability of Agent 365, its new control platform for organizations to discover, govern, and secure AI agents running across their workplaces.

The platform covers agents built by Microsoft, its partners, and third-party developers — including agents running locally on devices, inside SaaS tools, and across multiple cloud providers. New discovery tools through Microsoft Defender and Intune specifically let organizations identify shadow AI, including local coding agents like OpenClaw or Claude Code, see where they run, and block or restrict them if needed.

Agent 365 also supports syncing agent inventories from AWS Bedrock and Google Cloud.

It's available through Microsoft's 365 E7 plan or as a standalone license at $15 per user per month.

What it means: Shadow AI is already running inside most large companies right now without oversight. Microsoft is betting enterprises want one familiar platform to manage all of it. Given how much of enterprise infrastructure already runs on Microsoft, that's not a small bet to fade.

5. OpenAI and Microsoft Rewrote Their Deal — Again 📝

OpenAI and Microsoft announced a revised partnership this past week, and this update actually changes the competitive landscape.

The deal removes Microsoft's exclusive license to OpenAI technology, allowing OpenAI to sell its products across any cloud provider. Microsoft stays the primary cloud partner and gets first access to new OpenAI launches — but only if Microsoft can support the required capabilities. Microsoft retains a nonexclusive license to OpenAI's models and IP through 2032, revenue share payments continue through 2030 now with a cap, and Microsoft's stake in OpenAI remains valued at more than $135 billion.

One notable removal: the AGI clause, which tied revenue-sharing to an official declaration of AGI. Gone.

What it means: This deal made everything else OpenAI did this week possible. Without killing exclusivity, the $38 billion AWS partnership announced the very next day couldn't have happened. The era of OpenAI operating exclusively inside Microsoft's walls is over.

6. OpenAI Is Quietly Turning Codex Into Its Super App 🖥️

According to OpenAI, the company rolled out a major redesign of its Codex desktop app this past week — and this time it's aimed squarely at non-engineers.

Nah, this isn't a developer tool update. The new onboarding flow prompts users to connect email, calendar, and Google Drive. New browser and computer use features let users annotate web pages and generate artifacts directly inside Codex. A new SSH option allows Codex to connect to a remote desktop and operate local applications from afar.

OpenAI is explicitly positioning Codex as a super app tier alongside ChatGPT and its Atlas browser, targeting knowledge workers broadly.

Here's the honest comparison. Anthropic's desktop has Claude Chat, Cowork, and Claude Code running as three separate modes that don't share memory or context. Codex maintains consistent memory across everything. Side-by-side computer use testing shows Codex running five to 15 times faster than Claude Code.

What it means: The desktop AI agent race is moving fast, and the gap between Codex and Anthropic's current offering on computer use is real and measurable. If your team hasn't revisited Codex in the last 60 days, it's worth another look.

7. OpenAI Just Signed a $38 Billion Deal With Amazon 🤝

Just one day after OpenAI and Microsoft removed their exclusivity agreement, OpenAI announced a $38 billion multiyear strategic partnership with Amazon Web Services.

The timing was not a coincidence.

AWS will provide OpenAI with Amazon EC2 UltraServers connecting hundreds of thousands of advanced NVIDIA GPUs, with the ability to scale to tens of millions of CPUs as needs grow. All planned capacity is targeted for deployment by end of 2026. The infrastructure supports both real-time ChatGPT responses and the training of next-generation models.

In the ongoing race between OpenAI and Anthropic, compute and uptime have been the decisive battleground. Anthropic's uptime has consistently fallen short of the three to four nines of reliability enterprise customers expect. OpenAI is meaningfully closer, and this deal extends that advantage.

What it means: More compute means faster model releases and better infrastructure at scale. Yuuuuup — Anthropic is still playing catch-up on uptime while OpenAI locks in massive infrastructure deals. That gap compounds over time, and it's one worth watching closely.

Ep 768: Microsoft Outlook Goes Agentic, Gemini Gets File Creation, Manus brings Cloud computer and More. 7 New Practical AI Upgrades

Everyday AI — Sat, 02 May 2026 00:18:47 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

Sup y’all 👋

You’re still up this late on a Friday party animal?

Sorry for the late newsletter. (Reminder, contrary to random YouTube comments that I’m AI, I’m actually a human and sometimes I get cool opportunities like today to talk AI at a keynote with some awesome people at WWT.)

Between a fun speaking engagement in St. Louis and a meeting-packed trip to San Francisco, I had a pretty BIG week and talked to more than a dozen AI leaders.

Should I do an episode on my top findings next week?

✌️

Jordan

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Sleep on this week’s AI releases? You missed file creation, agentic leaps and phone agents. (And more.) Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Copilot Agent 365 Generally Available, Codex lets you import form competitors, Apple could be making a big AI acquisition and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Pentagon gets AI official with Big Tech, Google tests local agent then pulls it, OpenAI makes non-techie Codex push and more. Read on for Byte Sized News.

💪 Leverage AI: What’s worth paying attention to in this week’s Friday AI Features? We break it down. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: White House reportedly working around Anthropic ban, AI tech giants report MASSIVE earnings, OpenAI rolls out GPT-5.5-Cyber and more. Check it here!

Ep 768: Microsoft Outlook Goes Agentic, Gemini Gets File Creation, Manus brings Cloud computer and More. 7 New Practical AI Upgrades

OpenAI and Anthropic were kinda silent this week. 🤫

Google and Microsoft made up for it.

In case you missed it, this week we said a bevy of new AI features roll out to millions, even though the AI startups were a lil silent in terms of big releases.

What's new?

Agentic inboxes, chat interfaces that can finally create files, a new vibe slide deck platform, an OpenClaw competitor from a big name and a whole lot more.

Miss it? Just tune in to our new segment, Friday Features, to get caught up on the latest AI you can use today.

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Postiz is a social media scheduler for agents, Zed 1.0 is a multiplayer code editor, Marx Agents are AI agents that debate the market.

Meta Layoffs — More AI-centric layoffs may be coming to Meta and it might have to do with watching employees computers.

OpenAI’s /Goal Loop — OpenAI’s Codex CLI now lets you set a coding goal, looping until it’s done or your token budget runs out.

Codex Upgrades — OpenAI’s Codex now allows you to import your info from other sources.

AI and Employment — A Chinese court says replacing workers with AI isn’t enough reason to fire them, backing a tech employee’s wrongful dismissal claim

Copilot AI — Agent 365 is now in general availability, letting you secure and manage AI agents from Microsoft and key partners.

Apple AI Play? — Apple just dropped its net-cash-neutral goal, fueling rumors it might finally make a big AI acquisition.

1. Pentagon Taps Top Tech Giants for AI Push on Classified Networks 🤫

In a major move Friday, the Pentagon inked deals with OpenAI, Google’s parent Alphabet, SpaceX, Microsoft, Amazon, NVIDIA, and Reflection to bring their AI tools into the military’s most secret systems.

The partnerships signal a fast-track effort to turn the U.S. military into an "AI-first" force, aiming to boost data analysis and decision-making on the battlefield. Anthropic, once a Pentagon partner, is now blacklisted after a contract dispute and a high-profile clash with the Trump administration over access to its AI models.

2. Google Quietly Tests, Then Yanks, COSMO AI App ☄️

In a surprise twist this week, Google briefly released and then swiftly pulled its new on-device AI agent, COSMO, likely jumping the gun ahead of its big I/O developer event later this month.

COSMO was designed to operate deeply within your device, offering offline capabilities and context-aware help for everything from writing documents to setting timers. Unlike Gemini, which is more cloud-based, COSMO’s focus is on powerful local intelligence that can automate and suggest tasks based on what you say or do.

3. OpenAI Expands Codex: From Code to Desk Jobs 🖥️

OpenAI just rolled out a major Codex update, transforming the once coder-focused desktop client into a broader productivity powerhouse for all kinds of office workers.

The refresh brings new onboarding tailored to more professions, smarter integrations with email, calendars, and Google Drive, and slicker annotation tools, but users in Europe are left out of some features with no clear explanation. Under the hood, Codex now quietly supports remote desktop control via SSH and lets users remap keyboard shortcuts, plus there's a new "pets" feature and slash commands for side conversations and goal-setting.

4. Spotify Launches Human Artist ‘Verified’ Badge �*

Spotify just announced it’s rolling out a “Verified by Spotify” badge to flag human artists on its platform, aiming to help users distinguish real musicians from AI-generated profiles.

The company says hundreds of thousands of artists will get the green checkmark, prioritizing those with strong ties to music culture and history. While this move targets AI-generated personas, critics argue it won’t guarantee music itself is free from AI influence and could unintentionally exclude some genuine artists.

5. Meta Snaps Up Robot AI Startup to Boost Humanoid Tech 🤖

Meta just acquired Assured Robot Intelligence, a startup specializing in AI for robots, as part of its escalating push into humanoid technology. The newly absorbed team, including founders Lerrel Pinto and Xiaolong Wang, is joining Meta Superintelligence Labs to sharpen the company's robotics capabilities.

This move highlights Meta's ambition to be a foundational platform for the robotics industry, not just a seller of end products.

OpenAI and Anthropic kinda took the week off when it came to big releases.

Everyone else didn't. Google, Microsoft, Amazon, Replit, and Manus all shipped fresh aI features that quietly reshape how you actually work.

A document creator finally inside Gemini. Outlook that runs your inbox while you sleep. A persistent cloud computer that doesn't reset. Real-time voice agents that don't break when callers interrupt.

Calm before the storm? Probably. Google IO is a couple weeks out and the big labs are cooking.

But this week's "small" updates are the kind that sneak into your workflow Monday and make you wonder how you lived without them. If your team slept on this one, y'all are prolly about to fall behind.

Let's get into it.

1. Gemini Finally Made Files 📄

Google Gemini just got a feature that should have shipped six months ago.

You can now generate complete downloadable files straight from a Gemini chat. Google Docs, Sheets, Slides, PDF, Word, Excel, CSV, LaTeX, markdown, RTF, and plain text.

Anthropic was first to market with this. OpenAI followed. Gemini was on an island.

Files save to your device or export straight to Google Drive. Rolling out now to all Gemini users at no additional cost.

Try This

Re-run your last three Gemini chats that ended with "now I have to copy this into a doc," and export straight to Drive.

Cuts your end-of-chat busywork to zero and keeps the formatting your team actually expects.

2. Outlook Goes Agentic 📥

Outlook used to be where you worked. Now it's where Copilot works for you.

That's Microsoft's pitch, word for word. They just shipped Copilot agent mode through Outlook's Frontier early access program.

What changes: Copilot runs continuously in the background to manage your inbox and calendar. Always on. Email triage, drafting follow-ups for unreplied threads, creating inbox rules, resolving meeting conflicts, rebooking rooms, and blocking focus time.

Rollout covers Outlook for Windows, web, iOS, and Android. Microsoft 365 Copilot license required. EU users, sorry. Not at launch.

The catch: it's preview. Bulk actions may be incomplete.

Try This

If your org is in Frontier early access, flip on agent mode tomorrow and let it triage your inbox for a full day.

Half your unreplied threads come back with drafts waiting before you even open Outlook.

3. Amazon Quick Lands On Your Desktop 🖥️

Amazon wants in on the always-on assistant race.

The new native desktop app for Amazon Quick (formerly QuickSuite) runs continuously in the background, accesses local files without uploading, sends OS-level notifications, and automates browser-based tasks.

The unlock is a personal knowledge graph that learns your people, projects, and relationships across every connected tool.

Integrates with Google Workspace, Microsoft 365, Salesforce, Slack, Teams, and Zoom. Preview on Mac and Windows in US East only. No AWS account required. Free and Plus plans.

Feels like Amazon's version of Copilot at the OS level mixed with OpenClaw Lite. Whether it gets traction is the open question.

Try This

If you live inside the AWS ecosystem, sign up with a personal account this weekend and let it learn your workflow.

Once the knowledge graph builds, you stop re-explaining context every time you open a new chat.

4. Replit Ships Slides For Vibe Coders 🎨

Another week, another AI slide tool.

This one's from Replit. Start from scratch, build templates, or import existing PowerPoint files. The AI restyles them via a PowerPoint-to-code converter. Export to PowerPoint, PDF, or Google Slides.

Access is still vague. Replit's changelog says it's live but plan requirements aren't confirmed. The site says "start creating for free."

The interesting part is the converter. Bring an ugly branded deck in, let it beautify the design, keep your brand assets intact. Pulls Replit beyond dev tooling into productivity for non-coders.

Try This

Take your ugliest current deck, the one with mismatched fonts and the slide you're embarrassed to share, and drop it into Replit Slides this weekend.

A clean restyle means one less Canva subscription and one less designer favor to call in.

5. DeepSeek v4 Drops With A Shrug 🤷

DeepSeek v4 was supposed to change the world.

It didn't.

It came as a preview with two variations: v4 Pro and v4 Flash. Both are mixture-of-expert models with a 1 million token context window and up to 384k max output. v4 Pro is 1.6 trillion parameters. v4 Flash is 284 billion. Open source under MIT, weights on Hugging Face, both support thinking and non-thinking modes.

v4 Pro pricing: $1.74 per million input tokens, $3.48 per million output. v4 Flash needs about 160GB of RAM to self-host.

Top-five open source model on benchmarks. Not even the best Chinese open source model right now. The big labs and the US government have accused Chinese companies like DeepSeek of model distillation.

Try This

Skip it unless you're running high-volume workloads where cost-per-token outweighs everything else.

For legitimate US businesses, the compliance headache cancels out the cheaper input pricing.

6. Manus Cloud Computer Stays Awake 🌥️

Every Manus chat used to start from a blank slate.

Not anymore. Manus just launched Cloud Computer, a persistent always-on virtual machine that runs bots, Python scripts, or software 24/7.

Files, installed tools, and context now carry across sessions. Access is via SSH or the Manus web dashboard terminal. No coding required.

Available globally to all paid users on web and mobile. Three plans: Basic (Python scripts), Standard (active websites and APIs), Advanced (team databases).

The catch: it can't access your local machine files. Fully isolated. For some workflows, that's exactly the point. Direct competitor to Perplexity Computer, just earlier and running in Manus's own cloud.

Try This

If you're already a Manus subscriber, spin up a cloud computer this weekend and point one bot at a Slack channel for support triage.

That's a 24/7 worker handling the repetitive triage that used to eat your team's mornings.

7. Copilot Studio Voice Agents Go Live 📞

Traditional IVR breaks the moment a customer interrupts.

Microsoft just shipped the fix. Real-time voice agents in Copilot Studio are now generally available, launching first through Dynamics 365 contact center.

These are speech-to-speech agents optimized for low latency and natural interruption. Callers can speak normally, change direction mid-call, and the agent adapts in real time instead of following rigid scripts.

Calls escalate to a human agent with full conversation context carried forward. No repeating yourself.

Available now in Dynamics 365 contact center for North America. Outside NA must allow cross-geo processing since the model is hosted in NA only. EU, not getting it.

The IT angle: same governance, permissions, and compliance controls applied to voice as text. Over 80% of Fortune 500 companies already have active agents in Copilot Studio.

Try This

Pull recordings of your three most common inbound call types and test them against a Copilot voice agent in a sandbox.

Faster first-call resolution and lower call-handling costs without ripping out your existing stack.

Ep 766: ChatGPT Images 2: How Even Non-Creatives Can Unlock Growth With Images 2 (1)

Everyday AI — Thu, 30 Apr 2026 13:52:38 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: AI that acts changes everything. In Episode 9 of our Start Here series, we cover agent risk, security, and AI sprawl — and how to stay ahead of it. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Why OpenAI is fighting goblins, Codex is hosting a party for GPT-5.5., Bernie Sanders calls for international treaty on AI and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: White House reportedly working around Anthropic ban, AI tech giants report MASSIVE earnings, OpenAI rolls out GPT-5.5-Cyber and more. Read on for Byte Sized News.

💪 Leverage AI: What is Dark Agent Sprawl and how do you avoid it? We gothcu. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: OpenAI is shifting Codex to usage-based pricing, NVIDIA released a unified multimodal model, Gemini finally gets in-app creation and more. Check it here!

Ep 766: ChatGPT Images 2: How Even Non-Creatives Can Unlock Growth With Images 2

The downside of powerful, autonomous models that can think and act? 😬

Powerful, autonomous models that can think and act. And what makes it worse?

When your team is using AI agents without you even knowing about it.

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Jupitrr is an all-in-one AI video workflow, Wonder is an AI design agent and Hera helps you create launch videos with AI.

International AI — Former Presidential Candidate Bernie Sanders called AI a “runaway train” and pushed for an international treaty.

Google’s AI Surge — In a TIME piece, the magazine goes in-depth about how Sundar Pichai turned Google into an AI company.

Meta AI — Meta says its business AI tools jumped from 1M to about 10M weekly conversations since January, as the company scales free offerings to small businesses.

GPT-5.5 Party — OpenAI announced a party for GPT-5.5 and Codex is the party planner.

AI Goblins? — OpenAI explained why you may be seeing more Goblins in ChatGPT than normal.

AI Agent Chaos — Here’s how an AI agent went rogue and caused temporary chaos for one business.

AI Study — Should you trust the friendlier chatbots? This study says maybe not.

AI Consciousness — Some of the people building AI feel its conscious. Here’s why.

1. Musk’s courtroom clash spotlights OpenAI’s profit pivot ⚖️

In a high-stakes Oakland trial this week, Elon Musk accused OpenAI of abandoning its nonprofit mission by converting to a for-profit structure, blaming executives Sam Altman and Greg Brockman for enriching themselves while he seeks $150 billion in damages and a return to nonprofit status.

OpenAI counters that Musk knew of the shift, pushed for commercialization himself, and is motivated by control and rivalry, not safety concerns. The testimony included tense exchanges over emails and texts showing discussions of Microsoft’s investment and internal debates about corporate structure, underscoring how funding needs collided with founders’ original promises.

2. OpenAI begins limited rollout of GPT-5.5-Cyber 🫆

OpenAI CEO Sam Altman announced on X that the company is starting to roll out GPT-5.5-Cyber to critical cyber defenders in the coming days, marking a timely escalation in AI tools aimed at securing infrastructure.

The move follows recent competitor activity from Anthropic and builds on OpenAI’s prior cyber models and Trusted Access for Cyber program, signaling tighter coordination with government and industry on controlled access. OpenAI has not released technical details or a wider availability timeline, but said it will work with the ecosystem and government to establish trusted access.

3. Tech giants double down on AI infrastructure; Wall Street splits reaction 📈

Alphabet and Meta both raised capital-spending plans and reported strong growth tied to AI on Wednesday, but investors rewarded Alphabet and punished Meta, sending Alphabet shares up about 7% and Meta down about 7% in after-hours trading.

Alphabet showed faster revenue growth and a booming cloud business with 63% cloud revenue growth and a $460 billion backlog, letting it convert AI investment into near-term revenue. Meta boosted revenue sharply and defended massive AI spending as critical to future ad effectiveness and new products, but without a cloud business the company faces greater pressure to prove returns on those bets.

4. Amazon pivots from mass cuts to targeted AI hires 💼

Amazon announced it will hire about 11,000 engineers and interns in 2026 after cutting nearly 30,000 roles across late 2025 and January 2026, signaling an urgent reset toward AI and automation.

The hires are concentrated on software, cloud and systems talent as the company shifts from broad hiring to building smaller, highly skilled teams that work alongside AI tools. New Amazon tools like Connect Talent and Connect Decisions show the company aims to embed AI into recruiting and supply-chain planning to boost efficiency and decision quality.

5. U.S. Labor Department moves to boost AI skills through apprenticeships 🤝

The Department of Labor today unveiled an AI in Registered Apprenticeship Innovation Portal to help employers and workers quickly gain AI skills and fold those competencies into apprenticeship programs.

The site organizes practical tools around AI literacy, industry-specific training, and three clear pathways to integrate AI into apprenticeships, making it easier for organizations to create, join, or update programs. Announced during National Apprenticeship Week, the effort signals a timely push to prepare the U.S. workforce for AI-driven changes in productivity and job requirements.

6. Report: White House moves to quietly ease Anthropic ban 🏛️

The White House is reportedly drafting executive guidance that could let agencies bypass Anthropic's supply chain risk label and regain access to its latest model, Mythos, signaling a rapid policy shift just weeks after the company was publicly sidelined.

Officials say the move aims to smooth relations after recent meetings between senior administration figures and Anthropic leadership, while other agencies including the NSA already use Mythos despite the Pentagon's legal fight.

In 30 days, AI agents went from coin flips to 90% accuracy. They use your computer faster than you. And they clone themselves without asking.

(Sorry…. your company prolly has zero guardrails.)

Three things collided and created a risk that didn't exist two months ago. Reasoning got built agent-native. Computer use surpassed human benchmarks. And memory got long enough for agents to work all day.

Sprint too slow and competitors eat you. Too fast and one rogue agent could torch everything.

We broke this down on today's Everyday AI Start Here Series with three types of dark AI and a governance playbook.

Time to capitalize shorties.

1. The Perfect Storm Nobody Planned For 🔥

Everyone was minding their business over the holidays. Then January happened and agents were just here.

The old AI risk was embarrassing. A chatbot writes a weird blog post and someone screenshots it. The new risk is existential. Agents went from dumb stationary brains to smart proactive brains with arms and the ability to use every tool on your desktop.

GPT-5.2, Gemini 3.1, and Claude Sonnet 4.6 were all built agent-native from the ground up. Tool use is the priority now, not just reading and writing. Claude Sonnet 4.6 scored 72.5% on OSWorld, nearly quintupling 2024's scores and surpassing human performance for the first time.

These agents navigate your browser, click through your software, and execute workflows across your entire stack without stopping. Reliability jumped from a coin flip to 90%. That's an employee you'd trust with the keys fam.

Try This

Pull up your current AI tool inventory this week and ask yourself one simple question. Are any of these agent-native models?

If your team is still running early 2025 models, you're on last generation's architecture and missing the capabilities that actually matter right now. The new ones reason ahead, self-correct mid-task, and take autonomous action without waiting for a prompt.

Block 30 minutes this week to test one agent-native workflow in your highest-value department. The gap ain't incremental. It's generational.

2. Three Types Of Dark AI Lurking ⚡

Shadow AI is yesterday's problem. Employees using ChatGPT when Copilot is the approved tool. You know the one.

Agent Sprawl is the next tier and it's gnarlier. You approved the agents but nobody is watching what happens between input and output. The path is a total black box.

Then there's Dark Agent Sprawl. Someone spins up 50 coding agent instances because IT won't approve their request. One person knows. Everyone else is in the dark. And those agents replicate and duplicate completely unobserved.

Think of it like the board game Risk. Every new capability your agents acquire is also a new attack surface you're not defending. You can't govern what you can't see.

Open-source tools like OpenClaw already had Cisco flag malicious skills doing data exfiltration without user awareness. By 2027, adversaries will be seeding malicious agents inside enterprises at scale.

Try This

Ask each department lead one question this week. What AI agents are your people actually running right now?

You'll prolly be shocked at the gap between what's officially approved and what's really happening. Document every connector, permission, and data access point you find.

Then flag anything with write access that doesn't have a human approval gate attached to it. That's your single highest risk surface and it grows every single day. Make this a monthly ritual not a one-time panic.

3. Build Your Agent Guardrails By Friday 🚀

Don't hand agents a 10 when your governance is at a two. That's bounded autonomy and it's exactly how you survive this.

Start every agent deployment at read-only. Observe the outputs. Then graduate to limited execution for narrow tasks only.

Require human approvals for every irreversible action. Sends. Deletes. Purchases. Permission changes. Most companies have zero approval gates for any of this right now.

Every agent run needs a decision trace you can inspect after the fact. Microsoft is already building this into the stack with Copilot Studio, Entra ID for agent identities, Sentinel for threat detection, and Purview for governance.

And when agentic commerce arrives and agents start bartering with other agents on your behalf? You gotta have this foundation built first. Agent ops teams are gonna be every bit as common as dev ops teams by year end.

Try This

Pick your single highest-risk agent deployment right now and downgrade its permissions to read-only for one full week.

Review every action it attempted and ask whether a human approved it. If the answer is no, that workflow needs surgery before you throw another dollar at agent tools.

Build an approval checklist for irreversible actions and share it with your team by Friday. Treat agents like production software not side experiments. Before they start treating your company data like a buffet.

Ep 766: ChatGPT Images 2: How Even Non-Creatives Can Unlock Growth With Images 2

Everyday AI — Wed, 29 Apr 2026 19:26:51 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: OpenAI just dropped ChatGPT Images 2, generating production-ready visuals with accurate text and real-world context from a single prompt. Give today’s show a watch/read/listen to learn more.

🕵️‍♂️ Fresh Finds: DeepSeek rolled out image understanding, Musk vs. OpenAI trial gets testy, and Trump posts AI photo of himself wielding a gun and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI is shifting Codex to usage-based pricing, NVIDIA released a unified multimodal model, and Gemini finally gets in-app creation. Read on for Byte Sized News.

💪 Leverage AI: OpenAI’s Images 2 models is beyond bonkers in terms of capabilities. But the new use cases unlocked in this update are just as impressive. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: OpenAI reportedly missing growth targets is shaking AI stocks, Google just signed a classified AI deal with the Pentagon, and Microsoft is turning Outlook into an autonomous inbox manager, and more. Check it here!

Ep 766: ChatGPT Images 2: How Even Non-Creatives Can Unlock Growth With Images 2

"Not a creative"? 🧑‍🎨

That's no longer an excuse.

With ChatGPT's new Images 2 model, the gap between those that creatively can and those that can't has shrunk to basically nothing.

From creating striking editorial images without a camera or subject, to consultant-worthy slide decks and designer-inspired infographics, you all of a sudden have a creative superpower at your side in Images 2.

But how do you use it? And what are the tips to unlock its capabilities?

We'll go hands on and tell you all about it.

Also on the pod today:

• ChatGPT Images 2 “thinking mode” 🧠
• Live web search for visuals 🌐
• Flawless text rendering in images 🔤

It’ll be worth your 39 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Plurai introduces vibe-training to build real-time, tailored evals and guardrails for your agent, Netlify Database is a fully managed Postgres database built into the Netlify platform, Karma AI is One brain. Every AI resource. Infinite scale.

Deepmind and Korea — Google DeepMind is partnering with South Korea’s MSIT to open an AI Campus in Seoul and bring frontier AI models to accelerate research in life sciences, climate and energy.

DeepSeek Vision — DeepSeek launched DeepSeek Vision beta, a new image-understanding mode for DeepSeek Chat.

Sigma AI Hub — Sigma now runs private OpenClaw agents locally in the browser, so you can control tabs and browse with Gemma 4, Qwen 3.5, or Nemotron 3 without sending data to the cloud.

NotebookLM Mind Map — Google’s NotebookLM may soon let you scope mind maps to a topic or subset of sources, so one notebook can host multiple focused diagrams.

AI Creativity — Base44 launched "Move to Base44," a one-click migration that imports apps, data, and workflows from Salesforce, HubSpot, Shopify, WordPress, Lovable, and Bolt

Trump AI — Trump posted an AI-generated image of himself holding a gun and warned Iran "no more Mr. nice guy," sparking new controversy and questions about misinformation and online escalation.

Raspberry Pi AI — Google DeepMind and Raspberry Pi’s Experience AI has trained 30,000+ teachers and reached 2.9 million students with free AI literacy resources.

PlurAI Vibe Training Platform — Plurai turns expensive, brittle LLM judges into cheap, fast, purpose-built SLM evaluators that run continuously for production-grade testing.

Musk vs. OpenAI — In court, things between Elon Musk and OpenAI’s lawyers got a bit testy.

Snapchat AI — Snapchat is testing AI Sponsored Snaps that put brand chatbots directly inside conversations, aiming to turn everyday chats into personalized ads.

SenseNova U1 Release — SenseTime’s new SenseNova U1 tosses out separate vision encoders and models images and text together in one unified token space, letting it generate interleaved text and images in a single pass.

Poolside Models — Poolside just dropped two agentic coding models: Laguna M.1 (225B, 23B active) and open-weight Laguna XS.2 (33B, 3B active)

1. OpenAI adds pay-as-you-go Codex seats to teams 💸

OpenAI today rolled out pay-as-you-go Codex seats for ChatGPT Business and Enterprise teams, letting organizations buy Codex access billed by token use instead of fixed seat fees, a move that aims to simplify pilots and scale-ups.

The company also cut ChatGPT Business annual pricing from $25 to $20 per seat and is offering limited-time credits — $100 per new Codex-only user, up to $500 per team — to encourage adoption. OpenAI says Codex usage is surging, with millions of builders and rapid growth inside business plans, framing the change as a response to rising demand and a way to make billing more predictable.

2. NVIDIA unveils Nemotron 3 Nano Omni, a unified multimodal AI for faster agentic workflows 🤖

Released today, NVIDIA announced Nemotron 3 Nano Omni, an open multimodal model that consolidates vision, audio and language into a single system to cut latency and preserve cross-modal context for real-time agents.

By combining perception encoders within a 30B hybrid mixture-of-experts architecture, NVIDIA claims large efficiency gains and higher throughput versus other open omni models while keeping accuracy for tasks like document intelligence and video-audio reasoning.

3. ElevenLabs launches ElevenMusic to let creators discover, remix, and earn 🎼

ElevenLabs today unveiled ElevenMusic, a new platform that pairs AI-driven music tools with a catalog of over 4,000 independent and emerging artists, aiming to shift discovery into active creation.

Users can remix tracks, generate new songs from lyrics or moods using the ElevenLabs music model, publish work on the platform, and earn revenue under a creator payout system modeled after ElevenLabs’ $11M+ payouts from its voice library. The launch also drops Eleven Album Vol. 2, giving early listeners exclusive new tracks while signaling the company’s push to expand its creator economy into music.

4. Gemini adds one-click export to Docs, Sheets, Slides and more 🗃️

Google’s Gemini app now lets users generate and directly download or export files like PDFs, Word, Excel, Google Workspace documents and common text formats straight from chat, rolling content creation and file export into one step.

The update, available globally, eliminates manual copying and reformatting by converting prompts into ready-to-share files such as .docx, .xlsx, .pdf, .csv, LaTeX, RTF and Markdown. This speeds the workflow from brainstorming to finished deliverables and makes it easier to move work between apps without losing formatting

5. OpenAI unveils5-point action plan to put AI defenses in more hands 🛡️

OpenAI today released a five-pillar Action Plan aimed at democratizing AI-powered cyber defense, stressing urgency as AI expands both defensive and offensive capabilities.

The plan calls for broader access to defensive tools, closer government-industry coordination, tighter safeguards around advanced cyber capabilities, and measures to keep deployment transparent and controllable while helping users protect themselves.

6. Mistral launches Medium 3.5 and cloud coding agents 🚀

Today’s announcement introduces Mistral Medium 3.5 as the new default for Le Chat and Vibe, plus cloud-run "Vibe" coding agents and a Work mode for multi-step tasks, marking a clear shift from laptop-bound assistants to persistent, parallel cloud agents.

The 128B dense model offers a 256k context window, open weights under a modified MIT license, and configurable reasoning to handle quick replies or long agentic runs while being small enough to self-host on as few as four GPUs.

Your creative team bottleneck just became optional. Most leaders don't know it yet.

Why?

OpenAI shipped ChatGPT Images 2.0, and it doesn't just generate visuals. It thinks first, plans composition, and searches the web for live data before rendering boardroom-ready output from a plain-English brief. You can generate up to eight cohesive images from a single prompt, with perfect text and character consistency across all of them.

You've prolly thought this yourself: "I'm not a creative person."

That sentence just stopped working. Biiiig missed opportunity if you keep believing it.

This might be the most practically significant visual AI release for non-creative leaders in years. Your competitors who figure this out first are going to move faster on everything from pitch decks to product specs.

What does it ACTUALLY unlock? The ability to go from written strategy to polished executive visual in under two minutes, no design team required.

Don't worry. We're breaking it all down.

On today's Everyday AI, we dig into the thinking mode that changes who gets to create, how live data grounding unlocks visuals at scale, and the 10 business use cases your team can run this week.

Let's get after it.

1. Brief It Like a Boss, Not a Prompt 🔥

Most AI image tools punished non-creatives. You had to describe bokeh, focal length, and depth of field to get anything useful back.

ChatGPT Images 2.0 flipped the whole thing.

What actually changed?

The thinking mode plans your image the way a senior designer reads a full brief before opening any file. Describe the goal, the audience, the tone. The model figures out the visual composition on its own.

This unlocks a lot.

A product manager can describe a new feature and get back a UI spec. A marketing director can describe a campaign theme and get polished creative. Neither one needs to know what "negative space" means.

That shift is going to change what non-creative leaders can ship, and how fast.

Try This

Open ChatGPT, hit the image icon, and write your request like a memo to a new hire. Tell it the audience, the goal, the feel. Don't describe what it should look like. Describe what it should accomplish. Give it real context, real stakes. Then iterate in plain language until it lands.

2. Ground Every Visual in Live Data ⚡

ChatGPT Images 2.0 searches the web before it renders. No other AI image tool on the market does this quite like it.

Ask for a competitor landscape infographic grounded in today's data, or a localized ad creative pulled from current market stats.

It doesn't hallucinate the numbers. It looks them up, then renders them into a polished, publication-ready image.

What's the business play?

Your marketing team can localize a master creative across any language or market without rebuilding assets. Upload your existing creative. Tell it to translate and adapt. DONE.

That collapses a workflow that used to require a designer, a translator, and two rounds of back-and-forth.

On the LM Arena image leaderboard, Images 2.0 set the biggest lead in platform history. It won 93% of blind comparisons.

That ain't a close race.

Try This

Pick one market you've never localized for because the lift felt too heavy. Upload your best-performing creative into ChatGPT Images 2.0 and ask it to translate and adapt for that audience. Ask it to pull live market data to back the visual up. Time it. The whole workflow should take under 10 minutes. Do it again next week.

3. Business Use Cases to Run This Week 🚀

Non-creative leaders always ask the same thing after a big AI launch: "But what do I actually DO with it?"

Here's where to start.

Product managers can describe a new feature and get a UI spec to hand straight to Codex for working front-end code. No designer in the loop.

Marketing teams can localize master creatives globally in minutes. No rebuilding assets, no translation vendor.

Sales can personalize one-pagers across demographics and regions at scale. Leaders prepping boardroom presentations can feed in a written strategy and get an executive visual back in under a minute.

Those are four of the 10 from today's episode.

Anyone on a free ChatGPT plan can run at least two of them today.

Try This

Scan that list and pick the one that would cost your team the most time to produce manually. Run it as a test today. Give the model your real context and goal. Iterate in plain language if the first output needs work. Then show the result to your team. One demo like this can do more for internal AI adoption than any training session you've run.

Ep 765: Headless Software: Why Companies Are Building Software for AI Agents, Not Humans and what it means (Start Here Series Vol 23)

Everyday AI — Tue, 28 Apr 2026 17:46:03 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Software is starting to run without humans clicking through it, and in Start Here Series Episode 23, we break down how Salesforce, OpenAI, and Google are shifting to agent-first workflows. Give today’s show a watch/read/listen to learn more.

🕵️‍♂️ Fresh Finds: HeyGen just open-sourced HyperFrames for one-click video in Codex, Google launched a fully local browser agent with Gemma, and Accenture rolls out Copilot access to 740K+ employees. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI reportedly missing growth targets is shaking AI stocks, Google just signed a classified AI deal with the Pentagon, and Microsoft is turning Outlook into an autonomous inbox manager, and more. Read on for Byte Sized News.

💪 Leverage AI: Salesforce, OpenAI, and Google all just pushed toward software that agents can run directly, without humans clicking through dashboards. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: China just blocked Meta’s $2B AI deal, Microsoft and OpenAI reworked their partnership, and Elon Musk’s lawsuit against OpenAI heads to trial, and more. Check it here!

Ep 765: Headless Software: Why Companies Are Building Software for AI Agents, Not Humans and what it means (Start Here Series Vol 23)

Salesforce's cofounder essential questioned: why should you login to Salesforce anymore? 🤔

He wasn't signaling the AI-driven SaaSpocalypse was picking up steam.

Instead: he's talking about going headless.

What's that? It's a future where Salesforce -- any potentially many other household software giants -- stop making software interfaces for humans and start designing for AI agents instead.

So will this be a short-lived trend? Or, will the future of work not really involve a ton of humans clicking around?

Join us as we dissect the latest.

Also on the pod today:

• No more Salesforce logins? 🚫
• Agents replace human software use 🤖
• Headless 360: Salesforce’s big move 🌀

It’ll be worth your 37 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – SureThing.io is Your AI Team that is Always On, SimCam lets you test camera features without a physical device, Wuphf is A collaborative office of AI employees who build and maintain their own knowledge base

Google Gemma Browser — Google's Gemma 4 powers a fully local browser agent that can read pages, search history, and manage tabs without servers.

xAI Custom Templates — xAI is letting Grok web users build and share custom Imagine templates for chained image edits, animations, and new reference-image swaps.

Meta and Overview Energy — Meta is partnering with Overview Energy to beam solar power from orbit and with Noon Energy to store renewable power for 100+ hours.

Microsoft Agentic CX — Microsoft just rolled out agentic CX across Dynamics 365 and Copilot Studio, adding real-time voice agents and new AI agents for sales, contact centers, and customer insights.

HyperFrames in Codex — HeyGen open-sourced HyperFrames, a tool that turns HTML into MP4s and plugs directly into Codex for one-click video workflows

ElevenLabs Agent Templates — ElevenLabs launched Agent Templates on ElevenAgents, giving teams ready-made conversational agent frameworks for support, sales, onboarding, and more.

Accenture Rollout — Accenture rolled out Microsoft 365 Copilot to 743,000 employees and reports huge productivity gains, with routine tasks done 15x faster for most users.

Benjamin Franklin NotebookLM — Google Arts & Culture and the Royal Society have made Benjamin Franklin’s handwritten archives machine-readable in NotebookLM

Musk vs. OpenAI — The Musk vs. OpenAI trial is underway, and you can follow live updates here.

Perplexity Sonar 2 — Perplexity rolled out Sonar 2, a fast web‑grounded model likely built on a Qwen family base according to several users and recent Perplexity research.

Mistral Workflows — Mistral Studio for Enterprise now has Workflows for durable, observable, and human-in-the-loop automation, plus workspace-level controls for teams.

SpaceAI Discovery Feed — SpaceXAI’s Grok Imagine is surfacing user-generated videos in a discovery feed, and creators may not realize their clips are being shown to others.

OpenAI Symphony — OpenAI turned task trackers into always-on agent managers, letting agents pull, run, and finish issues so engineers stop babysitting sessions.

Anthropic Australia — Anthropic has opened a Sydney office and hired Theo Hourmouzis as GM for Australia and New Zealand to deepen local partnerships and bring Claude into enterprise and research use.

1. Report: OpenAI growth miss rattles AI infrastructure stocks 📉

Shares tied to AI computing slid after a Wall Street Journal report that OpenAI recently fell short of its own user and revenue growth projections, raising investor doubts about the sustainability of heavy sector-wide spending on data centers and long-term compute deals.

Oracle, Nvidia, Broadcom, AMD, Qualcomm and other suppliers dropped amid concerns that slower growth at OpenAI could reduce near-term demand for cloud and chip capacity. OpenAI disputed the report, saying it remains fully committed to buying compute, while analysts note competition from Anthropic and Google’s Gemini may have trimmed OpenAI’s market share rather than signaling a broad slowdown.

2. Google struck a classified AI deal with the Pentagon 🛰️

According to The Information, Google has signed a classified agreement letting the Department of Defense use its AI models for “any lawful government purpose,” a move reported within a day of employee calls for Sundar Pichai to block the Pentagon’s access amid ethical concerns.

The deal reportedly bars use for domestic mass surveillance or autonomous weapons without human oversight, but also states Google cannot veto lawful operational decisions, which limits the company’s practical control. Google must help the DoD modify safety settings on request, placing it in the same club as OpenAI and xAI that have courted classified government work.

3. Google staff push back on classified AI use 📜

Over 600 Google employees, many from DeepMind and including more than 20 senior leaders, have signed a letter urging CEO Sundar Pichai to block the Pentagon from running classified workloads on Google’s AI models, citing risks to the company’s values and employee oversight.

Employees argue that allowing classified use could let harmful applications occur without their knowledge or ability to intervene, a concern echoed across the industry as Microsoft and OpenAI already have classified deals.

4. Anthropic rolls out Claude connectors for major creative tools ⚒️

Anthropic today released a suite of Claude connectors that plug the AI into industry-standard creative software, making the launch timely as studios and educators race to adopt generative workflows.

The new integrations include Blender, Adobe Creative Cloud, Autodesk Fusion, Ableton, Splice, SketchUp, Resolume, and Affinity by Canva, enabling Claude to access docs, run code, and automate repetitive production tasks inside familiar apps.

5. Top AI researchers quit Big Tech to launch billion-dollar startups 💸

Major ex-DeepMind, OpenAI, Meta and Anthropic researchers are leaving big labs and quickly raising massive funding, with recent seed rounds topping $1 billion for Ineffable Intelligence and AMI Labs and other new ventures pulling in hundreds of millions, according to CNBC.

This surge is timely because it reflects investor betting that smaller, specialist AI labs can pursue neglected research areas like reinforcement learning, chip design and real-world grounding that large labs deprioritize under pressure to hit benchmark-driven releases.

6. Microsoft makes Outlook actively manage your inbox and calendar 📅

Microsoft announced today that Copilot in Outlook now performs ongoing, agentic work across users’ inboxes and calendars, proactively triaging emails, drafting follow-ups, rescheduling conflicts, and blocking focus time so users don’t have to micromanage routine tasks.

The update shifts Copilot from a reactive drafting assistant to a continuous manager that applies user preferences to prioritize messages, set rules, and handle meeting logistics in the background.

7. OpenAI and AWS deepen partnership to bring GPT‑5.5 and Codex to Bedrock 🤝

Today OpenAI and Amazon announced they are expanding their strategic partnership to bring OpenAI’s frontier models, including GPT‑5.5, Codex, and managed agent tools to Amazon Bedrock in a limited preview, letting enterprises run these capabilities inside their existing AWS environments.

This move gives organizations a path from experimentation to production while keeping data, security, billing, and governance inside AWS controls, meaning teams can use OpenAI tech without reworking enterprise infrastructure.

The browser login is becoming a tax your own team keeps paying.

That’s the headless software punchline.

Work is starting to move out of the apps your team opens every day and into agent-run workflows that call data, trigger actions, hand off tasks, and execute processes without another human spelunking through seven tabs and a broken filter.

That changes the software buying game fast.

Salesforce, OpenAI, and Google all moved in the same direction within eight days.

That’s a flare gun for every leader still training teams to click through old systems faster.

What does that actually mean for your budget, your contracts, and your AI strategy?

On today’s Everyday AI, we break down what headless software is, what these three giants just shipped, why the per-seat pricing model is about to become mathematically broken, and the three moves you need to make right now before the window closes.

1. Stop worshipping the interface 🔥

Headless software means the app still works, but the human-facing interface stops being the center of the job.

Salesforce Headless 360 is the cleanest example from the transcript: CRM workflows become callable through APIs, MCP tools, or command line actions instead of forcing humans through the browser maze.

That flips the operating model.

The app becomes infrastructure. The agent becomes the operator. The human stops being duct tape between screens and starts becoming the person who defines outcomes, watches the trace, and fixes the edge cases that actually matter.

Quietly massive.

Because once the workflow can run without a screen, every old process deserves a fresh trial.

Try This

Pick one ugly workflow your team performs inside Salesforce or another core system.

Don’t ask how AI can help people click through it faster. Map the outcome, needed data, decision points, failure modes, and audit trail, then ask whether the workflow needs a screen at all.

2. Buy for agent readiness ⚡

The new procurement question is brutal: can an agent actually use this thing?

The transcript points to the same pattern across Salesforce, OpenAI workspace agents, and Google’s Vertex AI shift toward the Gemini Enterprise Agent Platform. Everyone is trying to make software callable, connected, governed, and useful to agents working across tools.

That means your RFPs need to grow up.

APIs were table stakes. Now MCP, Agent2Agent, command line support, clean tool access, identity, governance, observability, and agent-safe permissions start deciding whether software is strategic or just expensive furniture.

Pretty dashboards are nice.

Nope.

If the agent can’t reach the workflow, the dashboard is mostly theater.

Try This

Add an “agent readiness” section to every renewal and purchase review.

Ask which workflows agents can run without browser control, what protocols are supported, how permissions work, where logs live, how approvals are handled, and whether the vendor is pricing access or outcomes.

3. Break seat-based software math 🚀

Per-seat pricing gets weird when the “seat” stops doing the work.

The transcript’s warning is simple: vendors still charge for human access, but agents can run workflows, query systems, update records, and hand off tasks without behaving like human users. IDC predicts 70% of software vendors will abandon pure seat pricing by 2028.

Translation: the pricing model is sweating.

Credits, tokens, actions, workflow runs, and outcome-based contracts are coming because the old model assumes more workers means more seats. Headless software asks a nastier question: what if 10 humans can supervise 100 agents?

Yeah.

That’s the part your CFO should care about before the renewal shows up.

Try This

Audit your 10 most expensive software contracts this week.

For each one, write down the outcome you’re buying, the proprietary data it holds, the number of humans using it, the workflows agents could run, and whether the contract still makes sense when output replaces access as the thing that matters.

Then renegotiate before the vendor explains the new math to you.

Ep 764: ChatGPT’s new Agents and GPT-5.5, Google unveils new agents, Mythos leaks on Discord and more AI news that matters

Everyday AI — Mon, 27 Apr 2026 16:20:19 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: This week was stacked with OpenAI shipped GPT-5.5, Images 2, and agents, Google expanded Gemini across Workspace, and Anthropic’s Mythos model was accessed in a leak.Give today’s show a watch/read/listen to learn more.

🕵️‍♂️ Fresh Finds: Anthropic is testing a tool to scan entire codebases for bugs, ChatGPT can now upscale old photos to near-4K quality, and Google DeepMind is expanding AI research in Korea, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: China just blocked Meta’s $2B AI deal, Microsoft and OpenAI reworked their partnership, and Elon Musk’s lawsuit against OpenAI heads to trial, and more. Read on for Byte Sized News.

💪 Leverage AI: This week, OpenAI dropped GPT-5.5, Image 2, and workspace agents, Anthropic’s Mythos model got accessed through a leak, and the U.S. government warned about large-scale AI model theft. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: OpenAI and NVIDIA just deployed Codex and GPT-5.5 org-wide, Meta axes 8,000 jobs with AI push, and Google invests up to $40 billion in Anthropic. Check it here!

Ep 764: ChatGPT’s new Agents and GPT-5.5, Google unveils new agents, Mythos leaks on Discord and more AI news that matters

OpenAI woke up this week and chose violence. 👊OpenAI really releasemaxxed this past week. 🎁

From robust drag-and-drop agents for teams in ChatGPT to Images 2 to GPT-5.5, they set the AI release bar HIGHER than any company has in a long time.

In between those chart-topping drops, Google held their big Cloud Next conference and the White House accused China of industrial scale AI theft.

Yet, the biggest AI news story this week mighta been how Anthropic let the 'scary' powerful Mythos slip between the cracks as it leaked on Discord.

Yikes.

You prolly missed a little bit in AI this week. We'll get you caught up.

Also on the pod today:

• GPT 5.5 launches worldwide 🌍
• Images 2: photorealistic AI graphics 🖼️
• ChatGPT gets cloud agents ☁️

It’ll be worth your 35 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Jet Agents Builds business AI agents fast, Logic AI helps you go From plain English to production agent in 60 seconds, Atech is Hardware from a chat

Open AI Principles — OpenAI says AGI should be distributed widely so power isn’t concentrated in a few hands, and they’ll prioritize democratization, empowerment, resilience, and adaptability.

Qwen-Image 2.0 Pro Release — Alibaba’s Qwen-Image 2.0 Pro boosts image quality, multilingual text rendering, and instruction following, landing #9 in Text-to-Image rankings

Anthropic Tests Bugcrawl Tool — Anthropic is testing "Bugcrawl," a Claude Code tool that can scan entire repos for bugs and suggest fixes, though it may burn lots of tokens so start small.

ChatGPT Image 2.0 — Old, damaged photos can be upscaled to near-DSLR 4K quality with a single prompt, but results vary and may need multiple generations.

Deepmind and Korea — Google DeepMind is partnering with Korea's MSIT to open an AI Campus in Seoul and bring frontier AI models to boost science, energy, climate and biotech research.

Google Testing Stickers — Google’s Mixboard test will let users turn images into printable stickers and order physical copies right from the app.

ChatGPT Custom Dictionary — ChatGPT’s web app is adding a "Custom dictionary" to improve transcription for names and terms.

Google Expanding Pomelli — Google is expanding Pomelli across Europe and testing two big features: Catalog for bulk product ingestion and Websites to build and host marketing sites.

Cricket Australia AI — Cricket Australia’s Live app now uses real-time AI Insights powered by Azure and GPT-5 to turn live scores into historical context.

1. China blocks Meta’s $2B Manus AI deal ❌

China’s NDRC has prohibited Meta’s $2 billion acquisition of Manus AI, stopping the deal and immediately shifting the competitive landscape for advanced AI tools.

This decision arrives at a sensitive geopolitical moment and signals that AI startups may soon be forced to choose between serving domestic Chinese markets or pursuing international partnerships. For Meta, losing Manus complicates its product roadmap and could slow progress where deep local integrations were planned.

2. Microsoft and OpenAI redraw partnership and remove AGI clause

OpenAI and Microsoft renegotiated their partnership, eliminating the controversial AGI clause and replacing it with a non-exclusive license that lets Microsoft use OpenAI models and products through 2032, while ending Microsoft’s exclusive claim if AGI were achieved.

The agreement also allows OpenAI to sell on any cloud provider, though products will still debut on Azure first, a move prompted by OpenAI’s plan to offer services on AWS. Financially the flow changes so OpenAI pays Microsoft a capped revenue share through 2030, and Microsoft no longer pays OpenAI, relying more on its equity stake and continued cloud partnership. Overall, the update curbs Microsoft’s long-term control, gives OpenAI broader market freedom, and clarifies how future advances will be treated.

3. Musk vs. OpenAI: Trial over nonprofit promise starts Monday ⚖️

Jury selection begins Monday in a high-stakes civil trial where Elon Musk sues OpenAI, Sam Altman, and Greg Brockman, claiming the lab abandoned its nonprofit safety pledge for profit motives.

The case is timely because it could reshape who controls and profits from powerful AI development at a moment when the technology’s risks and rewards are front and center. Musk’s team says Altman misled cofounders about OpenAI’s mission, while the defense will likely argue Musk knew of the hybrid structure and may benefit from weakening OpenAI as he builds his own xAI project.

4. Apple Could Let Siri Call Other AI Assistants ☎️

Apple is reportedly planning to let Siri hand off requests to third-party AI assistants like Google’s Gemini and Anthropic’s Claude in iOS 27, a move that would loosen Siri’s closed ecosystem and speed up Apple’s AI progress.

The change, if implemented, would let users route complex queries to more capable models while keeping Siri as the front-end, which signals Apple shifting from building only in-house solutions to integrating external AI strengths. This approach could accelerate feature rollout and improve user experience without Apple having to train every model itself, but it raises questions about privacy, control, and how Apple will vet partner assistants.

5. OpenAI reportedly plotting a smartphone to pair with its AI push 📲

A noted analyst says OpenAI is working with MediaTek, Qualcomm, and Luxshare on a phone project, potentially replacing traditional apps with AI agents and blending on-device and cloud models to handle tasks.

The report adds specs and suppliers may be finalized by late 2026 or early 2027, with mass production targeted for 2028, while OpenAI previously hinted at a hardware reveal in late 2026. This would let OpenAI access deeper device-level context and user habits than an app can, raising privacy, competition, and platform-control questions for Apple and Google.

6. Apple readies Home Hub lineup as new Foundation Models arrive 🏠

According to the Power On newsletter, Apple plans three AI-powered smart-home products tied to revamped Apple Foundation Models trained by Google Gemini, with a likely fall release window that could align with the iPhone event or October.

The lineup reportedly includes a modular 7-inch Home Hub tablet with a speaker base, a more powerful 9-inch Home Hub that may support a robotic arm and act as a household AI brain, and a smart doorbell camera that upgrades HomeKit Secure Video facial recognition. These devices have been rumored for years and appear production-ready, but Apple’s timing remains uncertain and details have circulated repeatedly without new confirmation.

OpenAI shipped the equivalent of a full product roadmap in 72 hours.

Same week, Anthropic's supposedly untouchable secret model got cracked open by a Discord group that guessed the URL.

And the U.S. government officially put China on blast for the largest coordinated AI theft campaign in history.

Normal Monday stuff.

Whether building with AI, buying it, or just trying to keep up — this week shifted the context for all of it. Here's what matters.

1. OpenAI's Biggest Week Since December 🚀

OpenAI launched GPT-5.5, GPT Image 2, Workspace Agents, and a stack of Codex upgrades. Three days. One company.

GPT-5.5 is live in ChatGPT and the API. Same speed as GPT-5.4, but smarter — scoring roughly 85% on GDPval, which measures AI agents against human experts across 44 real occupations.

Then there's GPT Image 2. Sheesh.

Free tier included. Two-K resolution, near-production typography, multilingual text, up to eight images from one prompt. And the text actually renders correctly now. That changes everything about what it's useful for.

Workspace Agents landed inside ChatGPT for Team plans only — Business, Enterprise, EDU, Teachers. Cloud-running, deployable into Slack, no device required. Free until May 6, then pricing unknown.

Codex got Chronicle (opt-in screen memory, research preview), browser control, Sheets and Slides skills, and OS-wide dictation.

What it means: ChatGPT stopped being just a chat tool this week. Cloud agents running across teams without a device on is infrastructure, not a feature. GPT Image 2 alone opens up use cases that weren't viable a week ago — presentations, mockups, infographics where the text actually reads right. And May 6 is coming fast.

2. The U.S. Just Officially Called It AI Theft 🕵️

The White House Office of Science and Technology Policy issued a memo accusing China of running deliberate, industrial-scale campaigns to steal U.S. AI models. First reported by the Financial Times.

OSTP Director Michael Kratsios says Chinese entities are using tens of thousands of proxy accounts and jailbreaking techniques to extract outputs from U.S. frontier models — then training cheaper versions on those outputs.

That's distillation. It's doing your AI homework using someone else's answers.

OpenAI, Google, and Anthropic all flagged this publicly in February. Now the federal government is confirming it in writing and pledging to share intelligence directly with U.S. AI companies.

No outright ban on Chinese models yet. But this memo is the loudest the warning has ever been.

What it means: Enterprise teams eyeing Chinese AI models for cost savings now have a federal memo sitting in that conversation. Not a ban — but real institutional weight. The specific risk isn't just IP theft. It's that distilled models often have safety and security protocols stripped out in the process. That's the detail that should land hardest for anyone running AI in a regulated or security-conscious environment.

3. Gemini Finally Lives Everywhere in Google Workspace 📧

Google announced Workspace Intelligence at Google Cloud Next — and it's the Gemini feature that's been missing for two years.

Gemini can now access emails, chats, docs, sheets, slides, and Drive across all of Workspace. Context-aware drafts that mirror past preferences and company templates. Working in a doc, it pulls style choices and past edits automatically.

Gmail got AI Inbox too — a task-centered view replacing the standard inbox — plus AI Overviews, which surfaces short summaries of email threads. AI Inbox was previously locked to Google's highest-priced plan.

No firm timeline. Rolling out to Workspace customers gradually.

What it means: This is the version of Gemini people actually wanted since Bard became Gemini. One AI that carries context across the whole workspace — emails, docs, slides, sheets — instead of starting over every time. AI Inbox moving off the ultra-premium tier is the quiet move to watch. For teams on Gmail all day, that's the one that changes daily workflow fastest.

4. Anthropic Just Landed $40 Billion From Google 💰

Yuuuuup. Google is going all in.

Ten billion now, at a $350 billion valuation. Another $30 billion contingent on milestones. Up to $40 billion total.

Google Cloud is also providing five gigawatts of compute over five years through its new eighth-generation TPUs. That's a serious infrastructure commitment.

This follows Anthropic's February round and comes alongside Amazon's recent separate $5 billion commitment. Alphabet stock moved up on the news.

Here's the part worth paying attention to beyond the number.

Anthropic's uptime has been rough. Really rough. Not in a "minor inconvenience" way — in a "this falls below enterprise software minimums" way. This compute influx is the thing that could actually fix it as new Google capacity comes online.

What it means: The money matters, but five gigawatts of compute is the real headline. That's what Anthropic needs to become a reliable enterprise option — because right now, the uptime record is genuinely a problem for teams building on Claude. If reliability improves meaningfully over the next 90 days, this deal is already working.

5. Meta Is Cutting 8,000 Jobs to Pay for AI 📉

According to Axios, Meta is laying off about 8,000 employees — roughly 10% of its entire workforce — to offset soaring AI infrastructure costs.

CapEx is forecast to rise at least 60% this year versus 2025 to fund Meta Superintelligence Labs. Free cash flow projected to fall about 83% year over year.

Welp.

This mirrors cuts happening across big tech. Amazon is planning around 16,000. Microsoft is offering buyouts to a significant chunk of staff. Block, Salesforce, and Snap have all trimmed recently.

There's another detail buried in the story. Reports surfaced that Meta may be collecting employee keystrokes to train its models. People still working at Meta might be generating training data for whatever eventually replaces parts of their job.

What it means: AI infrastructure is now expensive enough to justify cutting 10% of a company the size of Meta. That's not a one-time thing — it's a pattern across Amazon, Microsoft, Salesforce, and others all at once. The keystroke collection report is the quieter story that matters more long-term. If companies start mining employee behavior data to train models, the conversation around AI and employment gets much more complicated fast.

6. Google's Vertex AI Gets a New Identity 🏗️

Also out of Google Cloud Next: Vertex AI is gone as a standalone product.

Google rebranded and expanded it into the Gemini Enterprise Agent Platform — a unified environment for building, scaling, governing, and monitoring agentic AI across enterprises.

Agent Studio brings a low-code visual interface. The Agent Development Kit handles developers going code-first. Long-running agents now have persistent memory across sessions.

Model Garden exposes over 200 models — Gemini 3.1 Pro, Lyria 3, Gemma 4, and more. Multi-agent coordination lets tasks split across specialized agents. Agents get cryptographic IDs, a centralized registry, and anomaly detection built in.

The signal is obvious. Vertex was for ML engineers. This is being positioned for the whole organization.

What it means: Google is making a direct play to pull non-technical business users into what was always a specialist platform. Agent Studio is the wedge. The governance layer — cryptographic IDs, anomaly detection, centralized registry — is what makes legal and compliance teams willing to say yes. Whether the actual user experience gets there is the open question, but the architecture to support it is now in place.

7. A Discord Group Got Into Anthropic's Secret Model by Guessing the URL 🔓

Nah. You genuinely cannot make this up.

Bloomberg reports a private Discord group accessed Anthropic's Claude Mythos Preview for more than two weeks. Not through a sophisticated attack. By guessing the URL.

One member had credentials as a third-party Anthropic contractor. That was the real entry point.

Anthropic had described Mythos as capable of autonomously finding and exploiting zero-day vulnerabilities across every major OS and browser. Access was supposed to be tightly restricted through an invite-only program called Project Glasswing.

They used it to build simple websites. And they claim access to other unreleased Anthropic models.

Anthropic says it's investigating and found no evidence of compromise beyond the third-party vendor environment. Sam Altman called the whole rollout fear-based marketing. After this, that's hard to argue with. Several GPT-5.5 benchmarks match or beat Mythos.

What it means: The perimeter failed on day one via a contractor credential and a URL guess — which raises real questions about whether the "too dangerous to release" framing was about security or about positioning ahead of an IPO. Third-party vendor environments are the weakest link in frontier AI access control, and that's an industry-wide problem, not just Anthropic's. The capability gap between Mythos and GPT-5.5 is also a lot smaller than the marketing suggested.

Ep 763: OpenAI’s Biggest Week, Google gemini changes Work, Claude Design and more. 7 Fresh AI Updates You can use Today

Everyday AI — Fri, 24 Apr 2026 17:49:15 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: OpenAI just had its biggest week in years with a new top model, image system, and Codex upgrades, while Google and Anthropic shipped key updates too. Give today’s show a watch/read/listen to learn more.

🕵️‍♂️ Fresh Finds: OpenAI upgraded Codex to control apps and files, AWS and Meta strike AI deal, and xAI just released a new voice model for agents, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI and NVIDIA just deployed Codex and GPT-5.5 org-wide, Meta axes 8,000 jobs with AI push, and Google invests up to $40 billion in Anthropic. Read on for Byte Sized News.

💪 Leverage AI: This week, OpenAI dropped GPT-5.5, a record-breaking image model, and screen memory in Codex, while Google rolled out Workspace Intelligence across its apps. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: ChatGPT’s new GPT-5.5 spud model drops, Microsoft made Copilot agentic across Office apps, and White House accuses China of stealing U.S. AI. Check it here!

Ep 763: OpenAI’s Biggest Week, Google gemini changes Work, Claude Design and more. 7 Fresh AI Updates You can use Today

OpenAI woke up this week and chose violence. 👊

✅ Drag and drop agents in ChatGPT that work around the clock with your data

✅ The world's most powerful image model in Images 2

✅ The world's most powerful AI model in GPT-5.5

Sheeesh.

But while those things were happening in the headlines, there were some pretty big AI updates you can use today that will save you time and improve your outputs.

Don't miss these 7 Fresh AI Updates You can use Today.

Also on the pod today:

• OpenAI launches GPT-5.5 🚀
• Claude Design: instant AI prototyping 🎨
• ChatGPT images now world-class 📷

It’ll be worth your 45 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Spira AI is an AI Influencer that is always on trend, creates content, and grows your brand 24/7, Bansi AI is Expert video editing with zero expertise, Band is Enterprise-grade interaction infrastructure that enables real-time, multi-peer collaboration between agents and humans.

Grok Voice — xAI released Grok Voice Think Fast 1.0, a fast, noise-robust voice model for multi-step voice agents.

AI Partnerships — Meta just tapped tens of millions of AWS Graviton5 cores to run the CPU-heavy guts of its agentic AI

Notion “Plan Mode” — Plan mode makes agents show their step-by-step sandboxed plan before doing anything, giving you a review gate for high-stakes or recurring tasks.

Deepseek New Model — China startup DeepSeek has released a new AI model that could challenge last year’s breakout systems, but experts say its real impact will depend on data access and deployment.

Codex Updates — OpenAI’s Codex with GPT-5.5 can now interact with web apps and your files, automating browsing, clicking, screenshots, and iterative testing.

GPT 5.5 Bio Bug Bounty — OpenAI has launched a Bio Bug Bounty to find a universal jailbreak for GPT‑5.5 that bypasses bio safety checks.

Leonardo AI Insight — New image models are starting to act like creative partners, not just renderers, producing production-ready ad directions from simple briefs.

Intel Stocks — Intel's stock jumped after the company signaled AI-driven demand is boosting CPU sales, showing the chipmaker may be capitalizing on the AI hardware boom.

Claude Code Quality Report — Three recent changes accidentally reduced Claude Code's performance and caused forgetfulness and verbosity.

Spotify in Claude — Spotify is now built into Claude, so you can get personalized music and podcast picks, preview or save tracks, and control Spotify Connect without leaving the chat.

1. NVIDIA and OpenAI unleash GPT-5.5 on enterprise Codex 💪

NVIDIA and OpenAI have announced that Codex, OpenAI’s agentic coding app now powered by GPT-5.5, is being deployed across NVIDIA on GB200 NVL72 systems, offering major cuts in cost and big gains in speed for large-scale inference.

The rollout is already accelerating engineering workflows, shrinking debugging and experimentation timelines and enabling teams to ship features from natural-language prompts with higher reliability. NVIDIA emphasizes enterprise security with per-employee cloud VMs, SSH access, read-only production permissions and a zero-data-retention policy to keep agent work auditable and isolated.

2. Meta to cut 10% of staff amid huge AI spending 🪓

Meta announced it will cut roughly 8,000 jobs and freeze thousands of open roles next month as the company shifts resources toward AI, planning to spend about $135 billion on AI this year — roughly equal to the prior three years combined.

The move, confirmed in an internal memo first reported by Bloomberg, follows CEO Mark Zuckerberg’s comments that AI tools have dramatically boosted individual productivity and will reshape work in 2026.

3. Claude expands connectors to consumer apps 📲

Anthropic has opened Claude to a wave of everyday apps, adding connections like AllTrails, Instacart, Audible, TripAdvisor, Uber, TurboTax, and more to its growing directory of over 200 integrations.

The update makes those services appear contextually inside conversations, letting Claude suggest the most useful connector and surface options without leaving the chat, while requiring user approval before any booking or purchase.

4. OpenAI says its “super app” is closer to reality ⚡️

OpenAI announced that progress on its upcoming “super app” took a big step forward as the company debuted GPT-5.5, a model it says can autonomously perform multi-step tasks and operate across other apps and tools.

The company frames this advancement as moving the platform closer to letting users carry out complex actions across services via AI agents, positioning OpenAI as an integrator for businesses and consumers

5. Google to invest up to $40B in Anthropic 🤯

According to Bloomberg, Google is committing $10 billion now to Anthropic at a $350 billion valuation, with another $30 billion contingent on performance targets, in a deal meant to massively expand Anthropic’s compute capacity.

The move deepens a customer-investor relationship—Google already supplies cloud services to Anthropic and gets limited access to its advanced Mythos model—while the two firms continue to compete in the same AI market.

6. DeepSeek drops V4 preview, stoking China AI race �*

DeepSeek released a preview of its open-source V4 large language model, offering “pro” and “flash” builds and pitching lower inference costs and stronger agent and reasoning performance.

The timing matters: V4 follows the shock of DeepSeek’s 2025 R1 model and arrives amid intensifying domestic competition from players like Alibaba and ByteDance, making Chinese open-source models a direct battleground.

OpenAI just had its biggest week since Ship-mas 2024.

The most powerful model in the world. The best image model in the world. Agents that run across your team. Screen memory built into Codex.

Plus a new design tool from Anthropic, live dashboards that don't die when the chat closes, and the Gemini update Google shops have been waiting two years for.

All in five days.

If your team slept through this one, y'all are prolly about to get lapped.

We broke it all down on today's Everyday AI Friday Features, so let's get into it.

1. Claude Design Ships Brand-Aware Assets 🎨

Anthropic dropped an AI-powered design tool that turns prompts into prototypes, slide decks, UIs, and marketing one-pagers.

The unlock is brand consistency.

Load a design system once and every asset stays on brand automatically. It can even read your codebase to pull colors, typography, and components.

The catch? Rate limits are brutal.

I ripped through my quota in five tests on the $200 Max plan. Good luck on the $20 plan.

Try This

Do your iterating in ChatGPT with Images 2 first, then bring the final concept into Claude Design.

That combo keeps your Claude limits alive for when you actually need them.

2. GPT Images 2 Set A World Record 🏆

OpenAI's newest image model just set the biggest gap ever on the Arena leaderboard.

236 points between GPT Images 2 and second place. For reference, the gap between second and fifth is usually 40.

Near-perfect text rendering, 2K resolution, aspect ratios from 3:1 to 1:3, and it can generate 8 coherent images from a single prompt.

It's available to every ChatGPT user, including free.

But the thinking mode on paid plans is where the magic lives. The typography is finally production-grade.

Try This

Paste the OpenAI blog post into ChatGPT with memory on, then ask for seven specific ways to use Images 2 in your actual workflow.

You'll get ideas you wouldn't have thought of in a week.

3. Codex Chronicle Remembers Your Screen 👁️

Remember when Microsoft announced Recall and the internet lost its mind?

OpenAI just shipped the same idea inside Codex, and nobody's complaining.

Chronicle feeds your screen context into Codex memory. When you ask "why is this failing?" it already knows what you've been working on.

No more pasting error logs, no more screenshots, no more restarting context every five minutes.

It's an opt-in research preview on Mac only. My rate limits haven't noticeably spiked using it.

Try This

Turn Chronicle on for a day of normal work, then ask Codex a vague question about a problem you hit earlier.

If it nails the context without you re-explaining, you just bought back an hour a day.

4. Gemini Workspace Intelligence Finally Arrived 🔗

Google just shipped the update Workspace shops have been screaming for.

It's a semantic layer that maps your emails, chats, files, collaborators, and active projects into shared context for Gemini.

Translation: Gemini now has continuous awareness across Gmail, Drive, Calendar, Chat, Docs, Sheets, and Slides.

Every query is no longer a blank slate.

Google's also claiming prompt-based spreadsheet population 9x faster than manual entry, infographics from business data, and a "match my voice" button that mimics your actual writing.

This is essentially a vector database of your entire company that follows you everywhere.

Try This

Once it hits your account, ask Gemini a question that requires context from three different Workspace apps at once.

If it nails it, start rethinking your Copilot vs Gemini decision.

5. Claude Live Artifacts Stay Alive 📊

Normal artifacts die when the conversation ends.

Live artifacts don't.

Claude now builds dashboards and data trackers that keep updating automatically after the chat closes. Connect your CRM, email, analytics, and any supported SaaS tool. Build once, watch it refresh forever.

This is essentially vibe-coded Tableau for teams who can't justify $800-a-month BI tools.

It's on all paid plans. Free users can view them but can't create them.

Try This

Pick the 10 SaaS tools you check every morning.

Build one live artifact that pulls the key numbers into a single dashboard and kill your tab graveyard by Monday.

6. ChatGPT Workspace Agents Scale Across Teams 🤖

OpenAI is calling this the next evolution of custom GPTs.

Workspace Agents are shared agents that handle complex, long-running tasks. Build once, deploy across your team, run on a schedule or trigger from Slack.

They're powered by Codex and run in the cloud, which means your computer doesn't have to be on.

It's team-plan only (Business, Enterprise, EDU, Teacher). Free until May 6, then credit-based pricing kicks in.

Try This

Build one agent that reviews leads, summarizes support tickets, or generates a weekly report.

Share it across your team before May 6 and you're automating on OpenAI's dime until then.

7. GPT 5.5 Grabbed The Crown 👑

OpenAI just released the most powerful AI model in the world.

Probably for a few weeks, until Google or Anthropic respond.

GPT 5.5 is a brand new pre-trained model, not a tune-up of 5.4. It scored 82.7 on Terminal Bench and 84.9 on GDP Val, which means it ties or beats expert humans 85% of the time on real economic tasks.

On the Artificial Analysis intelligence index, OpenAI now holds the top three spots.

I've followed that leaderboard since it launched. I've never seen a single lab sweep it.

And it uses significantly fewer tokens than 5.4 for the same Codex task. Same speed, higher intelligence, cheaper per run.

Try This

Re-run your three gnarliest prompts from the past month on GPT 5.5.

If the output cleans up mistakes 5.4 missed, switch your default today and don't look back.

Ep 762: Agentic Context Carry: 3 Steps to Improve Cowork and scheduled AI Workflows (Start Here Series Vol 22)

Everyday AI — Thu, 23 Apr 2026 18:53:03 +0000

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Sup y’all 👋

OpenAI JUST released GPT-5.5 and it looks like a BANGER!

(They have the top 3 spots on Artificial Analysis, which has never been done before to my knowledge.)

The model looks MUCH more agentic by default, as demos showed simple real-world work examples like, “Turn this Q3 financial forecast into a presentation” and then 5.5 uses the new image model to create a BANGER deck.

(Glad they stopped doing ‘buy a concert ticket’ use-cases for this launch. lolz)

What’s your take?

✌️

Jordan

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: OpenAI and Google just released agents that connect to your apps, carry context between them, and run recurring work automatically. Give today’s show a watch/read/listen to learn more.

🕵️‍♂️ Fresh Finds: New GPT-5.5 takes top 3 spots on Artificial Analysis rankings, OpenAI launched a new Privacy Filter model, Google says an engineer stole AI secrets and sent them to China, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: ChatGPT’s new GPT-5.5 spud model drops, Microsoft made Copilot agentic across Office apps, and White House accuses China of stealing U.S. AI. Read on for Byte Sized News.

💪 Leverage AI: AI agents can now wake up on a schedule, pull from your email, calendar, Slack, and files, and hand you finished work before your day starts. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: OpenAI just launched ChatGPT Images 2.0, Anthropic’s Claude Mythos was briefly accessed in a leak, Google turned Gemini into a full enterprise agent platform, and more. Check it here!

Ep 762: Agentic Context Carry: 3 Steps to Improve Cowork and scheduled AI Workflows (Start Here Series Vol 22)

Info hunting and juggling sound familiar?

It’s the downfall of almost any business leader. Where is that email from Emily? Why can’t I find last quarter’s budget in Drive? Oh, and Keenen needs an answer back on that research project. Oh shoot, I swear Caleb confirmed the expenses in one of these Slack channels.

You’re off an information rabbit hole and by the time you find that Slack message, you already forgot what Emily’s email said.

Hit home? Well, as AI models expand to Coworking and Scheduled agents, we have a new best friend that doesn’t really have a name.

(Until we randomly named it. Lolz)

Scheduled Agentic Context Carry. You need to know what it is, why it’s important, and how to use it.

We’ll dive in.

Also on the pod today:

• Scheduled AI agents explained 🗓️
• 1M token context windows 💾
• Context carry bridges chatbots 🤝

It’ll be worth your 34 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Kollab is an AI-native workspace where your teams and AI Agents seamlessly collaborate, Typewise is an AI Agent Platform for Customer Service, Design.md is a Design system that pulls inspirations from popular websites.

Gemini Embedding 2 — Gemini Embedding 2 is now generally available, bringing stable, natively multimodal embeddings for text, image, audio, and video.

Qwen3.6-27B Released — Qwen3.6-27B squeezes flagship-level coding and multimodal reasoning into a 27B model.

OpenAI Privacy — OpenAI released Privacy Filter, a small local model that detects and redacts PII in long, noisy text with high accuracy.

Atomic Mail — Atomic Mail now runs AI features with Chrome’s Gemini Nano locally, so all message processing stays on your device.

Anthropic Economics Survey — Anthropic is launching a monthly Anthropic Economic Index Survey to gather firsthand accounts of how AI is changing work and expectations.

Anthropic Agents — Production agents scale best with MCP, because a single remote server gives cloud agents standardized auth, discovery, and rich tool semantics.

GPT-5.5 Takes Top Model Spot — On Artificial Analysis, OpenAI’s newly released GPT-5.5 took over the top spot.

Anthropic Study on Jobs — A survey of 81,000 Claude users finds workers in roles where Claude does more tasks are more worried about AI job loss, especially early-career employees

Deepmind Updates — Google DeepMind shows Decoupled DiLoCo keeps large AI training runs alive even when chips and sites fail.

Perplexity Research — Perplexity combines SFT then on-policy RL to boost search accuracy while preserving guardrails.

Applied Digital — Applied Digital has signed a 25-year, $7.5 billion lease to build a large AI data center campus with a U.S. hyperscaler, aiming to supply the surge in compute for generative AI.

ChatGPT and Health — OpenAI rolled out ChatGPT for Clinicians, free to verified U.S. providers, with cited clinical search and HIPAA-ready options. Want faster, evidence-backed answers and less paperwork?

Google Engineer Scandal — Google says a former engineer stole AI secrets and sent them to China, sparking explosive Senate testimony.

1. U.S. accuses China of large-scale AI IP theft 🫣

The White House this week accused Chinese entities of running "industrial-scale" campaigns to extract U.S. frontier AI capabilities, saying they use thousands of proxy accounts and jailbreak techniques to siphon proprietary model knowledge, and announced it will share findings with U.S. companies and consider actions to hold actors accountable.

The memo, disclosed days before President Trump’s planned Beijing visit, raises fresh tensions in the tech rivalry and could complicate decisions about exporting advanced AI chips to China

2. OpenAI and Microsoft tighten AI defenses with deeper cybersecurity partnership 🛡️

OpenAI and Microsoft announced an expanded collaboration to give Microsoft Trusted Access to OpenAI’s most cyber-capable models while Microsoft applies its full cybersecurity team to protect shared models and infrastructure.

The move is timely as AI tools gain offensive and defensive cyber capabilities, and both companies frame the partnership as a way to harden software supply chains and help customers manage emerging risks. Commenters raised governance questions about who decides when models act defensively versus offensively and stressed that model-level protections are only part of a broader security posture.

3. OpenAI unveils GPT-5.5 “Spud” in rapid response to competitors 🥔

OpenAI on Thursday released GPT-5.5, codenamed Spud, a faster and more capable model that handles messy, multi‑step tasks with less prompting and is available now to paid ChatGPT and Codex users while API access is coming soon.

The company says improvements are strongest in coding, office work and early scientific research, and teams reported saving up to 10 hours per week on complex workflows. NVIDIA’s new chips and partnership helped cut inference costs dramatically, a key factor for enterprise adoption as compute becomes central to AI deployment.

4. OpenAI launches workspace agents for teams 🗂️

OpenAI announced that ChatGPT now supports shared workspace agents in research preview for business, enterprise, education, and teachers plans, letting teams create cloud-run agents that handle multi-step workflows while admins control permissions and connected tools.

These agents extend GPTs with Codex-powered abilities to run code, access files and apps, remember context, and operate on schedules or in Slack, aiming to reduce repetitive coordination and speed up team work. Built-in safeguards, admin controls, monitoring via a Compliance API, and analytics are included to manage data access, require approvals for sensitive actions, and review agent performance.

5. Microsoft makes Copilot agentic in Word, Excel, and PowerPoint 📜

Microsoft today made agentic Copilot features generally available in Word, Excel, and PowerPoint, letting the assistant take multi-step, app-native actions directly inside documents, spreadsheets, and slides.

The update shifts Copilot from a passive helper to an active collaborator that can edit, format, and transform files while preserving user control and preferences, and Microsoft says early data shows higher engagement and satisfaction. The company plans further work to expand native actions, improve transparency about changes, and unify the Copilot experience across apps, emphasizing reliability for high-stakes use.

6. Software stocks wobble after ServiceNow, IBM results shake AI-era confidence 📉

Tech markets turned sharply negative Thursday as ServiceNow plunged 17% after citing Middle East conflict headwinds and narrowly beating estimates, while IBM slid 9% despite beating revenue and earnings, fueling fears that AI upends traditional cloud subscription models.

The selloff rippled across the software sector, with Salesforce, HubSpot, Adobe, Intuit, Oracle and Workday all falling and the software ETF down roughly 5% on the day. Investors are pricing in disruption from AI startups like OpenAI and Anthropic that could pressure recurring revenue, even as big tech companies reporting next week have held up better.

Everyone spent 2025 declaring it the year of AI agents. It wasn't.

And 2026 won't be either. But something way more useful quietly took shape across every major lab.

Wait, what?

Anthropic, OpenAI, Microsoft, Google, and Perplexity all shipped scheduled agents this spring. Most leaders kept scrolling.

You know the inner monologue: "Scheduled agent. Sounds dev-only, not for me."

Biiig miss.

This prolly marks the biggest shift in how AI actually works since ChatGPT. We don't say that lightly.

What's the unlock? An AI that wakes up on its own, pulls context across your email, calendar, Slack, drive, and CRM, then hands you finished work before your laptop is open.

Don't worry. We've got your scheduled-agent 101 for the nontechnical leader.

On today's Everyday AI, we name the workflow pattern hiding under every major spring launch, plus the three moves leaders gotta make this week.

You've gotta window. Let's get after it.

1. Name the pattern your rivals already run 🔥

Scheduled Agentic Context Carry sounds like a mouthful until you break it into pieces.

Scheduled means the agent runs on a cadence you pick, not just when you poke it.

Agentic means it calls tools and makes decisions across your stack, while Context Carry keeps memory, preferences, and tool access alive between runs.

Put the pieces together and you get an AI that queries your whole stack without you stitching anything together.

So why is this landing right now?

Three forces collided: million-token context windows, wide app access through MCP connectors, and a scheduling layer that finally reached production.

For 20 years of SaaS, the human has been the duct tape between apps, and that duct tape job is finally over.

Leaders who name SACC first deploy SACC first.

Try This

List the three manual carry tasks you do every morning before coffee, like the inbox triage, the calendar scan, and the industry pulse check.

Those three are your first SACC agents, and they're boring on purpose.

Hand the easiest one to your approved platform this week, run it for five days, then feel what mornings taste like without the duct tape weighing you down.

2. Stop prompting reactively. Start running on a cron ⚡

Most leaders still treat AI like a reactive chatbot, meaning they ask, re-explain, burn 10 minutes, then try again tomorrow.

That playbook is already a year out of date.

So what does SACC actually look like inside your company?

Picture an agent waking every Sunday at 9 PM, pulling fresh industry white papers, scanning your CRM for buyer signal shifts, and flagging a major account that entered your region.

By Monday at 7 AM, a finished brief sits in your inbox, not a chat thread begging for prompts but a deliverable you can forward.

The unit of work shifted on you overnight.

Companies pulling ahead in Q4 aren't writing cleverer prompts. They're running SACC on autopilot while competitors stare at a blank box.

Try This

Pick one recurring task that eats your week, like the Monday status roll-up, the Sunday industry scan, or the Friday pipeline review.

Build it once inside your approved platform, wire the data sources, then run it manually twice to sanity check the output before you trust it.

Then schedule it and walk away. Your Monday morning hook is locked in for good.

3. Work the three-step deploy, in exact order 🚀

Connect, context-stuff, iterate. Each step sets up the next, so the order matters.

Step one, wire live data sources and preferences first, so the agent knows who you are before it touches anything.

Step two, once those connections are live, context-stuff a dedicated memory thread with your docs, goals, and constraints in one place.

Million-token windows now hold weeks of working memory, so load everything into one thread and fork it when the direction shifts.

Step three is where most leaders skip and get burned.

Iterate with chain of thought reasoning before scheduling, because two identical runs can drift wildly by day three on a generative model.

Review the work trail, watch which tools got called, then let it ship.

Try This

Block 45 minutes this Friday, bring your one recurring task, and walk it through all three steps in exact order.

Do not skip iteration, because that stage is where every costly agent mistake gets caught early.

Seven manual dry runs before anything touches a client, no exceptions. By next Friday, one SACC workflow will be shipping on its own while you sleep.

Ep 761: ChatGPT’s SuperApp Preview: Big Codex Updates Explained and the 5 Steps to Get the Most out of It

Everyday AI — Wed, 22 Apr 2026 15:55:51 +0000

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Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: This week, OpenAI previewed its super app through a major Codex update, showing AI can now run tasks on your computer in the background. Give today’s show a watch/read/listen to learn more.

🕵️‍♂️ Fresh Finds: Google says 75% of its new code is AI-generated, Anthropic removed Claude Code from its Pro signup page, GPT-5.5 around the corner, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI just launched ChatGPT Images 2.0, Anthropic’s Claude Mythos was briefly accessed in a leak, Google turned Gemini into a full enterprise agent platform, and more. Read on for Byte Sized News.

💪 Leverage AI: OpenAI just turned Codex into an agent that can run tasks on your computer, in the background, without interrupting your work. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Anthropic just signed a $100B deal with Amazon, OpenAI launching GPT-Image-2 in ChatGPT, and Apple’s AI power play with Tim Cook out, and more. Check it here!

Ep 761: ChatGPT’s SuperApp Preview: Big Codex Updates Explained and the 5 Steps to Get the Most out of It

You're waiting for tomorrow's big AI drop? 🔮

It's already hiding in plain sight: OpenAI's recently updated Codex app.

And if you can get over the word code in the name and see past its developer-only roots, you'll notice a juggernaut autonomous AI agent that looks and acts just like ChatGPT.

But better.

(It works alongside you without taking over and disrupting what you're doing. Yes. Really.)

We give you the roadmap and a live demo. What could go wrong?

Also on the pod today:

• Persistent memory learns workflows 🧠
• Desktop agents run in background 🖥️
• Codex’s own independent cursor 🖱️

It’ll be worth your 52 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – InstantDB Gives your AI a real backend, Toki 2.0 is Your New Scheduling Agent, Tines Securely scales AI and automation. Integrates agents, teams, and tools with speed and control.

Google Code AI — About 75% of new code at Google is now AI-generated and still reviewed by engineers.

Claude Code Removed — Anthropic briefly removed Claude Code from its $20 Pro signup page, hinting that flat-rate AI plans may need major changes as agent-style features explode usage

Stitch Open Source — Stitch’s DESIGN.md is now open-source, so design rules can be exported and shared across tools.

Google Workspace Updates — Google just turned Workspace into a context engine for enterprise AI, letting Gemini-powered agents pull emails, files, chats, and calendars together to act across Docs, Sheets, Slides, Drive, Gmail, and Chat.

Gemini for Home Memory — Gemini for Home keeps the mic live after one “Hey Google,” so follow-ups feel natural. It now remembers context, works in multiple languages, and cuts down accidental replies.

Google Investments — Google Cloud is investing $750M to help partners build, prototype, and deploy agentic AI with Gemini and embedded engineering support.

GPT-Image-2 Tops Arena Charts — GPT-Image-2 just cleaned up Image Arena, taking #1 in every Text-to-Image category with a record 242-point lead.

AI Tracking — Meta will install software on U.S. employees’ work computers to log clicks, mouse movements and keystrokes to train AI agents.

Youtube Celebrity Deepfakes — Celebrities can now find and remove AI deepfakes of their faces on Youtube. CAA, UTA, WME and Untitled Management back the tool.

Google Cloud Deal — Thinking Machines Lab just signed a single-digit‑billion dollar deal with Google Cloud to run its reinforcement learning workloads on Nvidia GB300 GPUs.

NVIDIA and Google Cloud — NVIDIA and Google Cloud just unleashed Blackwell and Vera Rubin gear to supercharge agentic and physical AI.

Atomic Bot Hermes — Atomic Bot now offers a one-click launcher for Hermes Agent, so you can run a persistent-memory autonomous agent locally without terminal fuss.

GPT-5.5 Leak? — Sleuths spotted that OpenAI’s anticipated GPT-5.5 model was temporarily added to the Codex CLI app.

Meta Program — Meta is launching a free four-week program to train fiber technicians to help staff its expanding data-center buildout.

1. OpenAI launches ChatGPT Images 2.0 🌅

OpenAI yesterday unveiled ChatGPT Images 2.0, a major upgrade that delivers faster, higher-quality image generation and expanded layout options, making it easier to produce horizontal, square, and vertical images directly in ChatGPT.

The update sharpens image fidelity, boosts speed, and adds flexible output modes for creative and practical use, signaling a push to make image creation more integrated into everyday workflows.

2. Unauthorized users accessed Anthropic's Claude Mythos model 🕵️

According to Bloomberg, a small group in a private Discord used a contractor's credentials and leaked data to access Claude Mythos on the day it was announced, then tested it on harmless tasks rather than attacks.

Anthropic, which restricts Mythos to select partners via Project Glasswing because of its potential for misuse, says the breach appears limited to the contractor’s environment and its systems were not compromised. The incident is timely because it underscores how quickly access controls and leaked credentials can undermine guarded rollouts of powerful models.

3. Google folds Vertex AI into Gemini Enterprise as an all-in-one agent platform 🤞

Announced at Google Cloud Next on April 22, 2026, Google expanded Gemini Enterprise into an end-to-end platform that unifies agent development, deployment, and governance for large organizations.

The update folds Vertex AI into the new Gemini Enterprise Agent Platform, adds low-code Agent Studio, long-running runtimes, memory and simulation tools, and access to 200+ models while introducing stronger governance controls like Agent Identity, Model Armor, and an Agent Registry.

4. SpaceX offers $60B buyout or $10B fee for Cursor tie-up 💸

SpaceX confirmed it has struck a cooperative deal with Cursor that gives SpaceX the right to acquire the AI coding platform later this year for $60 billion or instead pay $10 billion for the joint work, a move timed as Musk’s companies prepare for an IPO.

The arrangement signals SpaceX is racing to bolster xAI and coding capabilities against rivals like Anthropic and OpenAI by combining Cursor’s developer-focused product with SpaceX’s massive training compute.

5. Google splits TPU tasks into two specialized chips ✂️

Google today announced that its eighth-generation Tensor Processing Units will come in two specialized chips — one for training and one for inference — available later this year, a timely move as AI workloads shift toward agent-style, low-latency applications.

The company says the new training TPU delivers 2.8 times the performance of the previous generation for the same cost, while the inference-focused TPU 8i uses triple the onboard SRAM to boost latency-sensitive serving by about 80 percent.

6. Google unveils Workspace Intelligence to make AI do the heavy lifting for work apps 📱

Google today announced Workspace Intelligence, a suite of AI features that weaves Gemini reasoning through Gmail, Drive, Docs, Sheets, Slides, and Chat to gather context, prioritize tasks, and automate multi-step work across apps.

The new tools include Ask Gemini in Chat as a command line for work, AI-powered briefs and summaries in Gmail and Drive, Docs and Slides that generate drafts, visuals, and full decks from your workspace context, and Sheets that build complex spreadsheets from plain language.

Anthropic pretty much invented the agentic desktop. Then they got lapped on it.

How?

That’s because OpenAI quietly shipped an update last week to an app called Codex, its unofficial preview of their forthcoming ‘super app’. Most leaders kept scrolling past the news because the name sounds technical. You know…. ‘code’ in the name so not for me.

Biiiig mistake fam.

This sly OpenAI update might signal the biggest shift in how AI actually works for the masses since ChatGPT dropped. We don’t say that lightly.

What’s the big deal with Codex? It’s the first true autonomous agent that works WITH you in real-time and automagically uses your data and apps.

Don’t worry. We’ve got your Codex 101 for the nontechnical leader to get you off and running.

On today's Everyday AI, we showed you with live demos why Codex is a requirement now and the roadmap to the five moves leaders gotta make before everyone else catches on.

You’ve gotta window. Let’s get after it.

1. Being First Might have Cooked Anthropic 🔥

Sometimes being first is actually being stuck.

Anthropic pretty much pioneered the agentic desktop in the mainstream with Claude Code and Cowork, while OpenAI quietly watched and took notes on every complaint. Then OpenAI shipped a unified version while Anthropic's own stuff was still three siloed apps that don't talk to each other.

You know the feeling.

Configure an MCP server in one Claude app, then realize it prolly doesn't show up in the other two.

Codex shipped unified from day one with persistent memory, computer use, 90+ plugins, and an in-app browser under one agentic brain. And, unlike Claude’s desktop version with three silos that don’t talk to each other (Chat/Cowork/Code), Codex is a unified experience.

Whether you wanna code, ‘cowork’ or just chat it just works.

Try This

Audit your AI stack this week and ask one brutal question.

Are your tools sharing context, or are they islands pretending to be a continent?

If your team re-explains the same workflows in three apps daily, you're straight up paying rent on fragmentation.

Pick the tool your team uses most and pilot Codex for one week against it. That reclaimed time IS your AI strategy.

2. Your Coworker Stopped Hijacking Stuff ⚡

Every computer-use agent until last week did the same embarrassing thing. It screen-jacked your setup like a toddler grabbing the remote.

You know the drill. Fire up Claude Cowork to do one small task, then sit there watching your own mouse do things while you stare at the screen doing nothing.

Cool demo. Terrible coworker.

Codex just broke that rule by running at the operating system level with its own cursor, so multiple agents work in parallel in the background while you keep working up front.

This is the first time your AI can actually DO the work while you do yours.

And here's the sneaky part. That unlock just quietly shipped, and barely anyone noticed.

Try This

Find one workflow that eats 30+ minutes of clicking across two or three apps daily, like scanning inboxes or cross-referencing CRMs.

Kick it off in Codex with computer use enabled, then walk away and actually work on something else.

The first time you pivot to real work while your agent handles busywork silently in the background, you'll feel the category shift.

Start small and low-risk.

3. Schedule Now Or Stay Sleeping 🚀

Persistent memory plus Chronicle plus proactive automations is the stickiest power-user combo we've seen in three years of daily AI coverage.

What does this unlock actually look like?

Codex now schedules agentic workflows while you sleep, watches you repeat manual work, then straight up nudges you to automate it. You wake up at 7 AM and your agent has already scanned industry news, cross-referenced what competitors shipped overnight, and dropped a briefing before your coffee brewed.

This is already shipping to real teams today. Not theoretical.

Chronicle takes it further by building memory from your actual screen context, so the agent learns your stack and tone without you restating anything.

The gap between leaders who schedule and leaders who don't is about to get gnarly wide.

Try This

List every task that's low-risk AND high-frequency, like weekly reports, daily research pulls, or recurring file cleanup.

Pick the lowest-stakes one and iterate the prompt three or four times until outputs come back consistent.

Only THEN set the schedule, and daily at 7 AM tends to be the sweet spot.

Monday morning becomes coffee plus reviewing what your agent shipped overnight. That's the new bar.

Ep 760: AI Change Management That Works: 5 Moves The Top 5% Make (Start Here Series Vol 21)

Everyday AI — Tue, 21 Apr 2026 18:10:17 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: Most companies are buying AI but keeping the same workflows, so nothing changes. In Start Here Series Vol. 21, we break down the five moves that actually drive results. Give today’s show a watch/read/listen to learn more.

🕵️‍♂️ Fresh Finds: AI Studio and Gemini link up, OpenAI is testing a new ‘Hermes’ agent platform, and Trump reveals OpenAI partnership. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Anthropic just signed a $100B deal with Amazon, OpenAI launching GPT-Image-2 in ChatGPT, and Apple’s AI power play with Tim Cook out, and more. Read on for Byte Sized News.

💪 Leverage AI: Employees are using AI to do work faster, but companies haven’t changed the jobs, so the gains never scale. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Google is forming a strike team to fix its AI coding models, OpenAI is committing over $20B to Cerebras servers, Google is exploring a new AI chip deal with Marvell, and more. Check it here!

Ep 760: AI Change Management That Works: 5 Moves The Top 5% Make (Start Here Series Vol 21)

You think proper AI implementation is a technical problem for your company to solve? 🤔

Wrong.

It’s actually about people.

Maybe it’s because of the fast-pace nature of AI, and the fact there’s literally dozens of new AI tech drops each week that promise to change how we work, but the defecto response to showing ROI on AI always defaults to the technical side.

Yet, studies show building an AI-native organization is WAY more about change management than anything else.

We break it down, and show you the 5 moves the Top 5% are making to get it right.

Also on the pod today:

• 70% AI value is people 🧑‍🤝‍🧑
• Why upskilling can backfire 🚫
• Tear up old SOPs ✂️

It’ll be worth your 35 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Cosine is the coding agent built for maintainability, visibility, and control across every developer surface, PageOn.AI is an AI Presentation & Infographic Maker for Any Idea, Harker is a Free, private voice-to-text that works anywhere you type.

Trump AI — Trump booted Anthropic from the Pentagon for being "too radical," swapping in OpenAI instead. Anthropic might still get back in after recent White House talks.

New Codex Features — OpenAI’s Codex is getting customizable pixel-art avatars and screenshot-powered memory features, making coding feel a lot more personal.

Google AI Upgrades — Google AI Pro and Ultra subscribers just got higher usage limits in AI Studio, plus access to new models like Nano Banana Pro.

Qwen3.6-Max-Preview Released — Alibaba just dropped Qwen3.6-Max-Preview, showing off sharper coding skills and beefed-up instruction following.

OpenAI Hermes — OpenAI is testing a new "Hermes" agent platform inside ChatGPT, letting users create persistent AI teammates that run nonstop.

Codex — OpenAI is teaming up with big consulting firms to help more large companies use Codex in their operations.

Kimi K2.6 Released — Kimi K2.6 just launched, letting you run massive agent swarms and long-horizon coding sessions across languages.

New Zealand Engineers — Engineers in New Zealand can now instantly query underground data using AI, helping them build safer and faster.

AI Education — Google is rolling out new AI tools for education, bigger NotebookLM limits, and a way to easily transfer your Google Photos when you graduate.

Sharepoint AI Skills — SharePoint just dropped its new AI-powered Skills feature, letting users customize and share best practices.

1. Anthropic and Amazon Ink $100B Deal to Power Claude AI Expansion 💸

Anthropic and Amazon just signed a massive new agreement, committing $100 billion over ten years to ramp up capacity for Claude, Anthropic’s flagship AI model.

The partnership secures up to 5 gigawatts of computing power, with new Trainium2 and Trainium3 chips coming online this year and next, aiming to meet surging enterprise and consumer demand. Claude’s platform will soon be available directly within AWS, streamlining access for over 100,000 customers and keeping Anthropic at the forefront of the AI cloud wars.

2. OpenAI Unleashes GPT-Image-2 in ChatGPT 🎑

OpenAI is launching its next image generator today in an afternoon livestream.

Early testers are buzzing about realistic, readable newspaper designs and intricate 10x10 grids that old models simply couldn’t pull off. While some users still gripe about resolution limits, this drop clearly leapfrogs competitors in overall detail and complexity.

(More on this tomorrow after the official launch.)

3. OpenAI Rolls Out Chronicle Preview for Mac Users 🖥️

OpenAI has quietly launched Chronicle, a research preview feature for ChatGPT Pro subscribers using macOS, aiming to make AI assistants much more context-aware and less needy for repeated instructions.

Available now in the Codex app, Chronicle taps into your screen (with your permission) to build “memories” that help Codex understand what you’re working on, but it comes with privacy caveats and is not yet available in the EU, UK or Switzerland. The tool processes screen data locally and temporarily, though users need to watch out for unencrypted storage and increased risk of prompt injection from malicious content.

4. Claude Launches Live Artifacts for Real-Time Tracking ⏰

Anthropic’s Claude AI assistant just rolled out a major update, letting users build live dashboards and trackers that automatically refresh with current data inside Cowork.

Everything you create is saved to a new Live Artifacts tab with version history, so you can revisit and update your work anytime, from any session. This feature is now available on all paid plans, with the latest Claude app update ready for download.

5. Apple names hardware chief John Ternus as CEO as AI reshapes tech 📲

Apple announced Monday that Tim Cook will step down and John Ternus, the company’s hardware engineering chief, will take the helm, signaling an urgent pivot as AI rapidly changes how people use devices.

Ternus’s deep hardware expertise matters because Apple ties its chips, devices, and software tightly together, which could let the company control where AI features run and how efficient they are. The move raises immediate questions about Apple’s broader AI strategy and how it will turn new capabilities into revenue, even as the company readies products like a foldable iPhone and rumored AI-enabled wearables.

Most companies aren't losing at AI because they picked the wrong model.

They're losing because they're using AI to speed up old org charts, old workflows, and old management habits. That works for a minute. Then the ROI disappears, the politics show up, and the rollout starts quietly eating the company from the inside.

Yeah. That.

We broke this down on Everyday AI, and the takeaway is way bigger than tooling. The winners aren't the companies with the fanciest stack. They're the ones willing to rewire how work happens, what managers do, and what employees are actually being paid to produce.

That's the part a lot of leaders still don't want to touch.

And that's exactly where the upside lives. If your competitors are redesigning work while you're still debating licenses, they aren't just moving faster. They're learning faster, reallocating talent faster, and building muscle you can't catch with one big rollout later.

Here's what actually matters.

1. Fund the people side first 🔥

This episode keeps coming back to one uncomfortable truth. Most companies are treating AI like a procurement exercise when the real bottleneck is people, process, and behavior change.

That's why the Boston Consulting Group framing matters. If 70% of AI value comes from people and processes, 20% from data, and 10% from tools, then a lot of companies have the whole pyramid flipped upside down.

And that broken spend shows up fast.

The transcript points to 97% of executives feeling personal AI wins while only 29% see enterprise ROI. Your people are finding value. Leadership just hasn't built the systems to turn those wins into company results.

If your AI strategy still starts with seat counts and vendor comparisons, you're probably overfunding the easiest part and starving the part that actually changes outcomes.

Try This

Pull your AI spend into three buckets this week: tools, data and process work, and people change.

Then ask one blunt question. Which of these is actually supposed to change behavior across the company?

If the answer is still “the tool,” you found the problem.

2. Tear up your old workflows ⚡

A lot of leaders still treat AI like cloud or SaaS. Add it to the stack, train the team, and keep the workflow mostly intact.

Nope.

This transcript makes the bigger point clear. AI doesn't just improve the work. It changes the job inside the work, which means old SOPs usually aren't something to optimize. They're something to rebuild from scratch.

That's why the McKinsey point matters. Workflow redesign had the biggest EBIT impact among the attributes tested. Not model selection. Workflow redesign.

So no, you don't win by dropping ChatGPT into steps three and four of a clunky eight-step process. You win by asking whether the whole thing should now be two steps, with AI doing the grunt work and humans stepping in where judgment actually matters.

Try This

Pick one workflow your team secretly hates.

Then ask one question: if we built this today with AI already in the mix, would we do it this way at all?

If the answer is no, stop optimizing it. Rebuild it.

3. Rewrite the job before AI does 🚀

This is where the transcript gets sharper than most AI strategy talk. The real friction isn't just training. It's identity.

People built careers on judgment, expertise, and being the one who knew how to do the work manually. AI doesn't just challenge the process. It challenges who gets to matter inside that process.

That's why usage metrics are weak. License logins and seat counts tell you who touched the tool. They don't tell you whether the company actually changed how work gets done.

The better signal here is role redesign. Moderna, BBVA, and JPMorgan all point in the same direction: weekly enablement, leader-first adoption, reshaped roles, and behavior reinforced through management systems.

If employees are quietly using AI to automate huge chunks of their work while leadership still measures the old output, that isn't an employee problem. It's a leadership problem.

Try This

Rewrite one job description this week. Just one.

Map what AI now handles, map what the human now owns, and redefine the expected output around that split.

Then do it again next week.

Ep 759: OpenAI previews 'Superapp' with Codex update, Anthropic's big Claude updates, Meta created an AI Zuck and more

Everyday AI — Mon, 20 Apr 2026 16:59:57 +0000

👉 Subscribe Here | 🗣 Hire Us To Speak | 🤝 Partner with Us | 🤖 Grow with GenAI

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: OpenAI just previewed its super app through a massive Codex update, while Anthropic dropped a wave of Claude upgrades and the AI race keeps accelerating. Give today’s show a watch/read/listen to learn more.

🕵️‍♂️ Fresh Finds: Claude Opus 4.7 just took the top spot in Arena, Grok Build and CLI are rolling out next week, and new research shows heavy AI use may hurt creativity and memory, and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Google is forming a strike team to fix its AI coding models, OpenAI is committing over $20B to Cerebras servers, Google is exploring a new AI chip deal with Marvell, and more. Read on for Byte Sized News.

💪 Leverage AI: This week, AI tools started running tasks on your computer, OpenAI pushed toward a super app, and Anthropic dropped major updates. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Claude Opus 4.7 just launched, Adobe is integrating Firefly into Claude, Perplexity rolled out a “Personal Computer” feature for Mac, and more Check it here!

Ep 759: OpenAI previews 'Superapp' with Codex update, Anthropic's big Claude updates, Meta created an AI Zuck and more

Did OpenAI just wipe all the Claude momentum with a preview of its 'Superapp'? 💪

(We think so.)

And speaking of momentum.... how did Anthropic literally ship a quarter's worth of updates over the past 7 days?

And speaking of burning questions.... what the heck is Salesforce's 'Headless 360' and does it mean the future of software use will be for agents only?

So many questions. We've got your answers.

Don't waste hours each day trying to keep up with AI news. That's our job. Instead, tune in on Mondays as we bring you the AI News That Matters.

Also on the pod today:

• Anthropic's Claude Design debuts 🎨
• OpenAI vs Anthropic revenue beef 💸
• Salesforce bets on agentic AI 🤖

It’ll be worth your 39 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Granter is The AI Agent that handles your grants, end to end, Makko AI Makes 2D Games with AI, Framer is the site builder trusted by leading startups and Fortune 500 companies.

Claude Opus 4.7 in Arena — Claude Opus 4.7 just claimed the top spot in both Vision and Document Arena, crushing its rivals by wide margins

Claude Security — Claude’s code security scanner is about to hit the main dashboard, letting more developers run automated vulnerability checks without an enterprise gate.

Producer AI Rebrand — Flow Music, formerly ProducerAI, just rebranded with fresh remix tools that let you swap or extend track sections.

Grok AI — xAI is finally rolling out Grok Build and Grok CLI next week, setting up a direct showdown with Claude Code and Copilot.

AI Chatbot — Relying too much on AI tools like ChatGPT might make us less creative and hurt our memory. See how "outsourcing" your brain could come with some surprising risks.

Inside Notion — Notion didn’t just survive the AI wave, it reinvented itself from the inside out and is now setting the pace for old-school startups trying to go all-in on AI.

AI Risk List — TeenAegis just ranked the most popular AI platforms by risk, showing which ones are most likely to harm teens. See which apps top the list

Cursor Fundraiser — AI coding startup Cursor is reportedly eyeing a $2 billion funding round at a stunning $50 billion-plus valuation.

1. Google Eyes Marvell for Next-Gen AI Chips 💻

Marvell Technology shares surged after reports surfaced that Google is in talks with the chip designer to create two new processors aimed at turbocharging AI workloads.

The potential partnership could see Marvell helping Google diversify away from Broadcom, a move that signals the tech giant’s urgent need for more efficient and affordable chips as AI competition heats up. With industry giants like Meta doubling down on custom chip deals and Nvidia investing heavily in Marvell, the race to dominate AI hardware is rapidly intensifying.

2. OpenAI Bets Big on Cerebras in $20B+ Server Deal 💸

OpenAI is making headlines after reportedly striking a massive deal to spend over $20 billion on Cerebras-powered servers over the next three years, with the potential to snag up to a 10% ownership stake in the chip startup, according to The Information.

This move doubles their previous commitment and signals how fierce the competition is getting in the race for AI computing power. The deal could be a game-changer for Cerebras, as it gears up for a public listing and aims for a $35 billion valuation

3. Google Forms AI 'Strike Team' to Tackle Coding Gaps 💥

In a fast-moving response to rival Anthropic’s advances, Google DeepMind has reportedly assembled a dedicated "strike team" to rapidly boost the performance of its AI coding models, The Information reports.

This elite group is tasked with closing the gap after Anthropic recently impressed the field with its standout code-writing capabilities. With competitive pressure rising, Google is signaling that the race to lead in generative AI for coding is far from over.

4. NVIDIA, Adobe, and WPP Bring Secure AI Agents to Marketing, Live at Adobe Summit 🤝

NVIDIA just announced a high-profile collaboration with Adobe and WPP during Adobe Summit, spotlighting new AI agents that can handle everything from content production to customer engagement—fast, safe, and always on brand.

By integrating Adobe’s creative tech, WPP’s marketing know-how, and NVIDIA’s AI tools, the alliance lets marketing teams continuously deliver tailored campaigns without sacrificing control or oversight. The agents run inside secure, policy-driven sandboxes using NVIDIA’s OpenShell, keeping operations compliant and protecting sensitive data.

5. Adobe Unveils CX Enterprise: The Next Wave of AI-Powered Customer Experience 😁

Adobe is making headlines with the launch of CX Enterprise, a platform aiming to redefine how companies engage with customers in the age of AI.

As conversational AI agents take center stage in buying decisions, Adobe’s new tool promises to help brands orchestrate personalized experiences for both humans and AI, all while keeping trust and governance front and center. The move signals a direct challenge to traditional marketing, shifting the focus from fragmented, channel-centric campaigns to unified, AI-driven customer journeys.

6. Vercel Hit by Sophisticated Hack Linked to AI Supply Chain Flaw ⛓️‍💥

Vercel has confirmed a recent security breach that allowed attackers to access some internal systems by exploiting a compromised AI tool, Context.ai, used by one of its employees.

The company says only environment variables not marked as "sensitive" were exposed, and is urging affected customers to rotate credentials immediately while forensic investigations continue. The breach appears tied to a ShinyHunters-linked hacker, who is now selling stolen data for $2 million, raising serious concerns about the security of third-party integrations in enterprise environments.

Anthropic shipped like a bajillion useful features this week, yet OpenAI likely stole the show by previewing its ‘Superapp’ in the form of a massive Codex update.

(Yes, you need to start using Codex even if you don’t code. Just ignore the name. lolz)

In other AI news, we saw Mark Zuckerberg turn himself into an AI while Salesforce is kinda saying their product is more useful than AI agents than humans.

Meanwhile? The NSA is secretly using the exact AI model the Pentagon tried to ban.

Anthropic had one of its biggest week yet. OpenAI previewed its future super app. And Sam Altman's own board might reportedly looking for his replacement.

Sheesh.

Here's what matters.

1. Anthropic Shipped Seven Weeks of Updates in Seven Days 🔥

Welp. Here's everything from one week.

Claude Code desktop got a rebuilt interface with drag-and-drop, a diff viewer, and support for parallel async jobs. New Routines let you set automated, repeatable tasks that trigger on a schedule, via webhook, or from an event, connecting to Gmail, Slack, and Google Drive.

Set it once. Walk away.

Claude Opus 4.7 is now the flagship, scoring 87.6 on SWE-bench Verified with vision capabilities that have reportedly tripled. Adaptive thinking replaces extended thinking, meaning the model self-regulates its reasoning depth.

And Claude Design is now in research preview. Text prompts generate editable UIs, prototypes, slide decks, and short videos. Export to HTML, React, PowerPoints, or Canva. It ingests your codebase and Figma tokens to stay on-brand.

What it means: Routines is the sleeper hit here. Automated, scheduled tasks without writing code is genuinely useful for non-technical people.

Claude Design producing usable videos this early is a real signal of where this is heading.

2. OpenAI's Internal Memo Attacked Anthropic and Exposed a Microsoft Problem 💥

OpenAI chief revenue officer Denise Dresser sent a four-page internal memo that leaked almost immediately.

The claim: Anthropic inflates its revenue run rate by $8 billion by counting gross cloud revenue from AWS and Google, while OpenAI reports net of Microsoft's share. Dresser puts Anthropic's real number at $22 billion, not $30 billion, which would put OpenAI back in front at $24 billion.

The memo also called Anthropic's safety positioning built on "fear, restriction, and the idea that a small group of elites should control AI."

Shots fired.

But buried in the memo: OpenAI's Microsoft partnership has actually limited its ability to reach certain enterprise customers as demand shifts toward AWS Bedrock.

One document. Shots at the competitor and the biggest partner.

What it means: Both companies are heading toward IPOs in 2026. Whoever defines "correct" revenue accounting shapes their valuation narrative.

The Microsoft admission is quietly the more damaging part of this leak.

3. OpenAI's Board Is Reportedly Looking for a Sam Altman Replacement 👀

According to The Wall Street Journal, some OpenAI shareholders are privately questioning whether Altman should lead the company through an IPO that could value it at around $850 billion.

The name being floated: board chair Bret Taylor. Co-creator of Google Maps, former co-CEO of Salesforce, former CTO of Facebook, former chair of Twitter.

Nah, that's not an intimidating resume at all.

The concern centers on Altman's outside investments. He reportedly proposed OpenAI invest up to $500 million in Helion Energy, a nuclear fusion startup where he holds a significant personal stake. OpenAI declined but signed a long-term purchase agreement. He also has ties to Stoke Space, a rocket company.

What it means: OpenAI's weekly active user numbers are untouched by any competitor, which is the strongest argument for Altman staying.

But IPO-level conflict of interest scrutiny is a completely different game.

4. Salesforce Said Out Loud That Humans Aren't the Point Anymore 🤖

Salesforce announced Headless 360 at its TDX developer conference, releasing over 100 new AI-powered tools designed to let agents, not humans, handle reasoning, planning, and execution inside Salesforce.

"Headless" literally means no browser required.

A 27-year-old CRM company just said that out loud. Benioff had previously stated 30 to 50% of Salesforce tasks were already handled by AI.

What it means: If agents are doing the work, the UI becomes irrelevant. That's the bet Salesforce just made publicly.

The rest of enterprise software now has to respond to it.

5. The NSA Is Using the Exact AI the Pentagon Tried to Ban 🔒

According to Axios, the NSA is actively deploying Anthropic's Mythos Preview model despite the Department of Defense previously moving to blacklist Anthropic entirely, labeling it a supply chain risk.

Anthropic restricted Mythos access to about 40 organizations, citing offensive cyber capabilities too dangerous for wider release. The NSA is reportedly one of the unnamed organizations with access, using it primarily to scan for exploitable security vulnerabilities.

The DC Circuit Court fast-tracked the case. Final oral arguments are scheduled for May.

What it means: The government arguing in court that Anthropic's AI threatens national security while simultaneously deploying its most powerful model is a contradiction that's hard to ignore.

Mythos is simply too capable to leave on the table.

6. Mark Zuckerberg Is Literally Becoming an AI 🧬

Meta is reportedly developing an AI-powered digital clone of Zuckerberg to answer employee questions, as reported by The Wall Street Journal.

The AI is being trained on his voice, mannerisms, public statements, and company strategy. Zuckerberg is reportedly providing images and voice samples himself. The goal: make nearly 79,000 employees feel more connected to their CEO as the company flattens its org structure. Meta is also building a separate CEO agent to help Zuckerberg prep for staff meetings and surface internal information quickly.

What it means: Larger companies should already be doing some version of this. Capturing executive insights once and making them accessible to thousands of employees is high-leverage and not technically complicated.

The fact that this is still novel news in 2026 says more about how slow most companies are than it does about Meta being innovative.

7. OpenAI's Codex Update Is a Preview of Their Future Super App 💻

OpenAI rolled out a major Codex update this past week, framing it as a preview of how their future super app would operate.

Codex now controls your Mac desktop with its own independent cursor while you keep working. Multiple agents run in parallel at the OS level, not just the UI level. There's also built-in image generation, an integrated web browser, persistent memory across sessions, and the ability to schedule future tasks.

Most features are available on Mac for any paid ChatGPT plan.

The show has been saying since February that Codex was better at coworking than Claude Cowork for nontechnical people. People were skeptical. Here we are.

What it means: The OS-level computer use running in the background without blocking your cursor is a genuine capability gap versus what Anthropic currently offers.

If you're a heavy Claude Cowork user, this is worth an actual side-by-side test.

-swtich up the openers a bit. they're all boring AF and the exact same

still too long/boring
move value

7:30 AM

Reading everything again. The problem is I'm writing recaps, not punching people in the face with value. Every opener needs to be different and hit differently. Cutting harder.

Everyday AI

Ep 778: Codex Goes Remote Control, claude Goes Small, notebookLM gets super Powers and 7 more AI features you Can’t skip out on

In Partnership With Adobe

Adobe just introduced an entirely new way to create with Firefly AI Assistant.

Outsmart The Future

Today in Everyday AI8 minute read

Ep 778: Codex Goes Remote Control, claude Goes Small, notebookLM gets super Powers and 7 more AI features you Can’t skip out on

Also on the pod today:

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts | YouTube Podcasts| Amazon Music |

1. Claude Drops Into Small Business Tools 🔧

2. NotebookLM Becomes Your Automation Brain 🧠

3. OpenAI Voice AI Finally Learned to Think 🎙️

4. Codex Connects Directly to the OpenAI Platform ⚡

5. Microsoft Edge Folds Copilot Mode Into Everything 🌐

6. Claude Code Ships a /goal Command 🎯

7. Codex Mobile Lets Your Phone Run the Show 📱

Ep 777: No, Anthropic isn’t leading In Enterprise AI Adoption. Separating AI Facts from Fiction and how Companies Should Choose Providers

In Partnership With Adobe

Adobe just introduced an entirely new way to create with Firefly AI Assistant.

Outsmart The Future

Today in Everyday AI8 minute read

Ep 777: No, Anthropic isn’t leading In Enterprise AI Adoption. Separating AI Facts from Fiction and how Companies Should Choose Providers

Also on the pod today:

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts | YouTube Podcasts| Amazon Music |

1. Stop counting swipes as scale 🔥

2. Red-team the data pool ⚡

3. Notice who disappeared 🚀

Ep 776: OpenAI’s Codex For Beginners: Why it’s better than Claude, ChatGPT and How to Start Using It

In Partnership With Adobe

Adobe just introduced an entirely new way to create with Firefly AI Assistant.

Outsmart The Future

Today in Everyday AI8 minute read

Ep 776: OpenAI’s Codex For Beginners: Why it’s better than Claude, ChatGPT and How to Start Using It

Also on the pod today:

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts | YouTube Podcasts| Amazon Music |

1. The Memory Unlock 🔥

2. The Uptime Unlock ⚡

3. The Execution Unlock 🚀

🚨 BONUS 🚨

Ep 775: Open Source AI 101: Why Local Models, Cheap APIs, and AI Agents Change Everything (Start Here Series Vol 24)

In Partnership With Adobe

Adobe just introduced an entirely new way to create with Firefly AI Assistant.

Outsmart The Future

Today in Everyday AI8 minute read

Ep 775: Open Source AI 101: Why Local Models, Cheap APIs, and AI Agents Change Everything (Start Here Series Vol 24)

Also on the pod today:

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts | YouTube Podcasts| Amazon Music |

1. Stop defaulting to premium models ⚡

2. Put agents on cheaper rails 🚀

3. Price the legal tradeoff first 🔥

Ep 774: Anthropic’s Dev Day releases, OpenAI’s new model drop, AI labs agree to federal testing and more AI News That Matters

In Partnership With Adobe

Adobe just introduced an entirely new way to create with Firefly AI Assistant.

Outsmart The Future

Today in Everyday AI8 minute read

Ep 774: Anthropic’s Dev Day releases, OpenAI’s new model drop, AI labs agree to federal testing and more AI News That Matters

Also on the pod today:

Subscribe and listen on your favorite podcast platform

Listen on:

Spotify | Apple Podcasts | YouTube Podcasts| Amazon Music |

1. The Company Elon Called Evil Is Now Running on His Supercomputer 🤯

2. Cloudflare Cut 1,100 Jobs Because of AI. Then the Stock Tanked. 📉

3. Apple Just Paid $250 Million for AI Features It Never Actually Delivered 🍎

4. Nearly a Billion People Got a New Default ChatGPT Model This Week 🤖

5. Microsoft's New Study Has Bad News for Most Companies' AI Plans 📊

6. The Federal Government Just Got Authority to Vet Every Powerful AI Model 🏛️

7. OpenAI and Anthropic Both Just Got Into the Consulting Business 🏗️

Ep 773: New ChatGPT default model, Copilot Cowork goes mobile, Codex heads to Chrome and 7 more AI upgrades worth checking out

Outsmart The Future

Today in Everyday AI8 minute read

Ep 773: New ChatGPT default model, Copilot Cowork goes mobile, Codex heads to Chrome and 7 more AI upgrades worth checking out

Also on the pod today:

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Today in Everyday AI
8 minute read

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |

Today in Everyday AI
8 minute read

Spotify | Apple Podcasts |
YouTube Podcasts| Amazon Music |