Free AFIRE Guide | AI Academy | Advertise | AI Mastery A-Z

Plus: LIVE TODAY: Build Your AI Marketing Team With ChatGPT Work, Skills + Agents. FREE Spots Are Limited Now

Mistral just went huge with Mistral Large 4: 1.05T parameters, 1M context, and open weights coming soon. The wild part? Only ~49B activate per token. How?

AI-generated Podcast: Spotify | Apple Podcasts, YouTube

What's on FIRE 🔥

• 📐 OpenAI Drops 700+ AI-Generated Math Papers Solved

• 📚 AI Sources From AI Fire

• 🤖 [FREE Webinar] Build Your AI Marketing Team

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH SPRINTO

Your SOC 2, handled end to end with AI agents.

Enterprise buyers will not put your product near their customer data without a SOC 2 report. Sprinto gets you audit ready in 14 days, across three working sessions. AI agents do the collecting, you approve. Your auditor signs off.

Book a Demo and get $1,000 off

AI INSIGHTS

📐 OpenAI Drops 700+ AI Math Papers Solved by Secret Frontier Model!

View on GitHub

OpenAI has released a public repository containing 722 math manuscripts across 372 result families, produced largely by an unreleased internal frontier model. The scale of the evaluation is the headline:

• The model was given roughly 4,000 open research problems.

• A typical successful result used compute equivalent to around 3 hours of ChatGPT Pro thinking.

• OpenAI filtered and grouped the outputs into 372 result families based partly on significance.

• Many proofs now have Lean formalizations, meaning they can be mechanically checked by a proof assistant.

• OpenAI also published 10 abridged reasoning summaries showing how the model approached selected problems.

OpenAI explicitly says the manuscripts are at different stages of verification. Many are formally checked, but some are not, unformalized results may still contain errors.

This release is also controversial. Some have argued that simply using open problems as AI benchmarks risks flooding the field with results before the community can properly verify or absorb them.

PRESENTED BY WISPR

Stop typing AI prompts. Start talking.

You think 4x faster than you type. So why are you typing prompts? Wispr Flow turns your voice into ready-to-paste text inside any AI tool. Speak naturally, tangents and all, and Flow cleans it up. Available on Mac, Windows, iPhone, and Android.

Try Wispr Flow Free

AI SOURCES FROM AI FIRE

1. Free Video: Can ChatGPT Now Work 24/7 for You? Dots can keep running tasks even after your laptop is off, and that was only one of 20+ OpenAI DevDay announcements. Eric cuts through the keynote to show which upgrades are worth your attention.

2. The Ultimate AI Setup for Windows: Turn It Into an AI Super-Machine (Full Guide). Turn a Windows PC into an AI-powered command center for research, automation, coding, spreadsheets, agents, and everyday work. We'll build an AI super-machine on Windows.

TONIGHT: YOUR FIRST AI MARKETING TEAM

🤖 [FREE Webinar] ChatGPT Work 101: Build Your AI Marketing Team (Skills + Agents)

🔴 LIVE • WEDNESDAY OCTOBER 7 @ 7:00 PM PT

Your marketing team might already use ChatGPT every day…
But there’s one problem:

AI still waits for you to tell it what to do next.

Research the campaign → Now summarize it → Now write the brief → Now turn it into content → Now analyze the results.

You’re still managing every handoff manually!

Tonight, we'll build AI teammates inside ChatGPT Work, live. You'll turn your repeat tasks into Skills, hand bigger jobs to Agents, and get finished work back to review.

TODAY IN AI

AI HIGHLIGHTS

🎁 Anthropic is giving qualifying startups a free year of Claude Team, up to 5 premium seats, and $1,000 in credits. Founders & teams, apply for this program while it’s open.

📝 ChatGPT now takes meeting notes for you. Install the Meetings plugin, tag connected docs & people, and turn follow-ups into your ready-to-send prompts.

🤖 You’re probably still doing work AI could handle for you. I get it, giving up control is hard. Save this 8-step guide to hand more routine tasks to AI without taking risk.

🍌 Google just launched Nano Banana 2.1 with 4K output, stronger editing, and support for 14 reference images. Developer pricing also dropped roughly 50%.

💸 Meta and Microsoft are reportedly cutting Claude usage as they push their own competing AI products. Internal spending is dropping fast (partner-to-competitor!)

😬 Sam Altman basically says zero AI harm is unrealistic, one company controlling everything is dangerous. That’s a messy position, but definitely one worth thinking.

💰 Big AI Fundraising: Lambda, an AI computing startup, is raising up to $4B at a $14.5B valuation before a planned 2027 IPO. Its backlog jumped from $15B to $50B, largely driven by Anthropic.

NEW EMPOWERED AI TOOLS

1. 🍌 Nano Banana 2.1 brings better image generation and editing to Gemini, with stronger consistency, and images from just $0.034 each.

2. 🤖 Hark Pro (from Figure) brings its proactive AI agent to web, iOS, and Android, with a $100 Pro plan now free and a slick new UI.

3. 🎨 Gamma 5 now lets an AI agent build your presentations for you, while importing PowerPoints and using Notion, Slack, HubSpot context.

4. 🧠 EmbeddingGemma 2 is Google’s new open-weight model that turns text, code, images, video, and audio into one searchable AI space.

5. 🤖 AgentID lets AI agents sign into apps with their own verified email, while linking back to a human owner for trust, control, and accountability.

AI BREAKTHROUGH

🚀 Mistral Drops Massive 1-Trillion Parameter "Le Chonk" Model

Mistral launched Mistral Large 4, a new multimodal model nicknamed “Le Chonk” with roughly 1 trillion parameters, positioning it as Europe’s alternative to leading U.S. and Chinese models. Main details:

• Trained entirely on Mistral’s own compute using just 4,000 NVIDIA GPUs.

• Optimized for areas such as cybersecurity, finance, and chip design.

• Currently available through a guarded public endpoint.

• Mistral plans to release the model weights after roughly three weeks of additional safety testing.

• Mistral says the smaller training footprint used 2–3× fewer GPUs than some Chinese competitors and substantially fewer than major closed-model labs.

• Early independent testing places ML4 around 6th among open-weight models on Artificial Analysis, while its cybersecurity performance appears especially strong.

Mistral is betting that a capable open-weight European model can give enterprises and gov. another option beyond U.S. closed models and Chinese open models.

ML4 looks like a solid frontier-level release, especially for enterprise and cybersecurity workloads. Whether Mistral can keep shipping upgrades fast enough to stay competitive in this fast market?

Built for the unstoppable.

The Dell Pro powered by Intel® Core™ Ultra with Intel vPro® adjusts power usage based on how you work, so your battery life never slows you down.

Explore More

We read your emails, comments, and poll replies daily

Hit reply and say Hello – we'd love to hear from you!
Like what you're reading? Forward it to friends, and they can sign up here.

Cheers,
The AI Fire Team

Table of Contents

• Introduction

• I. Layer 1: Command Center: Raycast

• II. Layer 2: Computer Operator: ChatGPT Desktop + …

• III. Layer 3: Voice Interface: Wispr Flow

• IV. Layer 4: AI While Browsing: ChatGPT Chrome Ext …

• V. Layer 5: AI Employee/Team: GrokBot

• VI. Bonus: 3 Deeper Layers Worth Adding

  • Layer 6: Office AI: Claude for Excel

  • Layer 7: AI-Controlled Knowledge Base: Notion

  • Layer 8: PC Remote Control: Phone

• VII. Quick Comparison: Best AI for Windows Tools

• Conclusion

Free AFIRE Guide | AI Academy | Advertise | AI Mastery A-Z

Plus: Get Surprisingly Fable-Level Results at Sonnet Price: How to Use Opus 5.5’s Properly

Reflection just dropped Beam, a 501B open model that only activates 23B parameters at once. It claims near-frontier performance while using 3-4× less inference compute.

AI-generated Podcast: Spotify | Apple Podcasts, YouTube

What's on FIRE 🔥

• 🚀 Reflection Unleashes Beam to Crush DeepSeek & Qwen

• 📚 AI Sources From AI Fire

• ⚡️ Get Fable-Level Results at Sonnet Price

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH SPRINTO

Your SOC 2, handled end to end with AI agents.

Enterprise buyers will not put your product near their customer data without a SOC 2 report. Sprinto gets you audit ready in 14 days, across three working sessions. AI agents do the collecting, you approve. Your auditor signs off.

Book a Demo and get $1,000 off

AI INSIGHTS

🚀 Reflection Unleashes Beam to Crush DeepSeek And Qwen

Reflection AI just dropped Beam, its first frontier open-weight model, and it’s going straight after DeepSeek, Qwen, and GLM with one big claim: similar performance at far lower compute cost.

Beam is a 501B-parameter Mixture-of-Experts model with only 23B parameters active at once, built for coding, reasoning, and agentic workloads. Main details:

• Pretrained on 23.8 trillion tokens

• Supports a 1 million-token context window

• Reflection says it matches GLM-5.2-class reasoning performance while using 3–4× less inference compute

• Reported scores include 80.9 on SWE-bench Verified, 80.1 on Terminal-Bench v2.1, and 97.8 on AIME 2026

• It plans to release the weights and full technical details later this month

Reflection is pitching Beam as a Western open-weight option for companies and governments that want to customize and run models on their own infrastructure.

But Reflection’s benchmark and efficiency claims have not yet been independently verified, and Beam is text-only while some competing models are multimodal.

PRESENTED BY MARKETBEAT

The AI IPO Rush Is Coming

OpenAI and Anthropic could bring a new wave of AI attention to the public markets. But investors don’t have to wait for the IPOs.

MarketBeat’s 7 AI Stocks to Buy Now report reveals 7 publicly traded companies positioned to benefit from the next phase of AI investment.

Send My Free Report

ALL YOU NEED TO WIN WITH AI

1. Free Video: Muse AI Is FREE… So Why Does This Look Like Kling? Muse AI’s camera work, character consistency, and sound got surprisingly close to Kling and Seedance. Alex pushed it through a five-shot cinematic film. See how far it gets.

2. This GPT-6 Astra Operating System is Absolute Cinema! Here're 5 Focused Levels to Build. A powerful AI system comes from building the right layers. Discover the 5 levels that turn GPT-6 Astra into a more consistent, personalized, and capable assistant.

GET FABLE LEVEL WITH SONNET PRICE

⚡ Get Surprisingly Fable-Level Results at Sonnet Price: How to Use Opus 5.5’s Properly

Stop adding “think carefully” or “think step by step” to every Opus 5.5 prompt. It helps zero. Like, nothing.

If you want Fable-level results from Opus 5.5 without burning through your budget, the trick is not adding more magic words to your prompt.

It’s knowing when to use Reset, when to bring Opus back in, and how to preserve the high-level reasoning that actually matters.

You can push Opus 5.5 much further while spending closer to Sonnet.

In this guide, I’ll show you exactly how I’m doing it.

TODAY IN AI

AI HIGHLIGHTS

🧠 After 2 months offline, Andrej Karpathy returned with his best strategies for getting more from AI. His biggest takeaway: push beyond your usual comfort zone.

✍️ This is exactly the kind of thing content creators need to know. Opus 5.5 hides some old AI tells, but new patterns already show up. This one is wildly overused.

😬 Remember that old invisible watermark debate? OpenAI is now making it real in the EU. ChatGPT and Codex text will carry hidden signals that detectors can spot.

🧭 If you’ve only got a small AI budget, save this. It’s basically a gold-standard buying guide comparing Anthropic, OpenAI, Meta, SpaceXAI, MiniMax, Moonshot, Cursor,...

🖼️ OpenAI is bringing visual ads to ChatGPT image outputs later this month. They’ll appear beside results, stay clearly labeled, but won’t affect answers. It looks like this.

🚀 GLM-5.3 is now available on Amazon Bedrock with a 1M-token context window, OpenAI-compatible APIs, strong coding benchmarks for enterprise AI. Get started.

🤖 Researchers are tracking a Chinese AI “agent fleet” running parallel tasks across the web, apparently on Tencent infrastructure. So far, the activity looks quite persistent.

💰 Big AI Fundraising: German robotics startup RobCo hits $1 billion valuation, doubling its valuation from earlier this year. Its new two-armed robot, Alfie, is built to automate repetitive factory jobs.

NEW EMPOWERED AI TOOLS

1. 🤖 HackerRank Chakra conducts AI job interviews, watching how candidates solve problems and evaluating both their answers and approach.

2. 🎬 Spira Maxima turns simple scripts into ready-to-post social videos with AI presenters, trending B-roll, captions, and music in one pass.

3. 🚦 FastRouter routes AI requests across 200+ LLMs, optimizing cost, speed, quality, and reliability without vendor lock-in.

4. 🤖 Opengeni helps you ship AI agents to production in hours with 100+ integrations, isolated sandboxes, and human approvals.

AI BREAKTHROUGH

🔎 Top 1% of AI Users Drive Most Consumer Spending, a16z Data Shows

a16z’s latest Top 100 Consumer AI Apps report shows a huge gap between casual AI users and power users. Only 4.5% of U.S. consumers had an active paid personal subscription to ChatGPT, Gemini, or Claude as of August 2026.

• The top 1% of AI spenders account for 19.5% of all observed consumer AI spending, more than the bottom 50% combined.

• That top 1% spends an average of $903 per month, compared with just $25 for the median payer.

• Heavy spenders favor coding, automation, productivity, and creative products such as n8n, Manus, Hermes Agent, Higgsfield, Figma, and HeyGen.

• ChatGPT still leads consumer AI, with roughly 2× Gemini’s web traffic and a much larger mobile lead.

• a16z argues consumer AI may need new business models beyond subscriptions to reach mainstream users.

Consumer AI already has extremely valuable power users, but mainstream paid adoption is still shallow. The next growth wave may depend less on better models and more on products people use often enough to justify paying for them.

A CRM so smart, it updates itself.

HubSpot's CRM is so smart, it now updates itself. Calls get logged and summarized the moment they end. New leads get researched and a first outreach drafted, automatically. Deals move forward on their own, with next steps flagged before you have to ask. 

Even the one repetitive task you've been meaning to fix can now run itself, no code required. Customers using it are already seeing the difference. 

This isn't the CRM you have to work hard to figure out. It's the one already working before you log in.

Get a Demo

We read your emails, comments, and poll replies daily

Hit reply and say Hello – we'd love to hear from you!
Like what you're reading? Forward it to friends, and they can sign up here.

Cheers,
The AI Fire Team

Table of Contents

• Introduction

• I. New Claude Prompt Structure to Finish in Fewer …

• II. Claude Code Rules for Long-Running Tasks

  • 1. Set the Stop Rules in CLAUDE.md

  • 2. Add New Instructions Without Restarting the Run

  • 3. Keep the Task List in a File

  • 4. Split Large Work Across Subagents

• III. Making Results Reliable (Selectively)

• IV. Practical Claude Prompt Patterns for Real Work

• V. Quick Checklist Before Sending Anything Importa …

• Conclusion

Free AFIRE Guide | AI Academy | Advertise | AI Mastery A-Z

Plus: LIVE THIS WEEK: Build Your AI Marketing Team With ChatGPT Work, Skills + Agents [Save Your Free Seat →]

Europe just got a serious open-weight contender. Aleph Alpha’s Kolibri packs 78B parameters, 1M context, and reasoning modes, while activating 3.46B per token.

AI-generated Podcast: Spotify | Apple Podcasts, YouTube

What's on FIRE 🔥

• 💻 Aleph Alpha Releases Europe's Efficient Open AI Model

• 📚 AI Sources From AI Fire

• 🎁 New AI Course Worth Considering

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH MACPAW

Meet Eney by MacPaw, a proactive AI for Mac that handles what's on your plate, so you skip to done. Free beta, 20,000 credits.

Eney gives you a quick morning briefing, runs ready-made workflows like Start my day, Review my week, or Downloads manager, keeps your desktop and files organized, and lets you point Eney Wand at anything on screen, text, files, images, to get it handled instantly.

AI INSIGHTS

💻 Aleph Alpha Releases Kolibri, Europe's Efficient Open AI Model

Aleph Alpha just released Kolibri, a new European open-weight reasoning model built for long context, agentic workflows, and regulated enterprise use. Main details:

• 78.1B total parameters, but only 3.46B active per token thanks to its MoE architecture.

• Supports up to 1,048,576 tokens of context, though Aleph Alpha recommends 256K or less for efficient serving.

• Includes controllable reasoning modes: none, low, medium, and high.

• Supports native tool calling, RAG, coding, and multi-step reasoning.

• Trained on nearly 24T tokens, with 21.3% of pre-training data in German.

• Built primarily for German and English, with a custom bilingual tokenizer.

Aleph Alpha trained Kolibri on 768 NVIDIA B200 GPUs. It scored 75.5 overall in English and 70.8 in German, beating several similarly sized sparse models despite activating only around 3B parameters per token.

Kolibri is a serious attempt to give Europe a locally built, open-weight alternative for organizations that want strong reasoning and agent capabilities without depending entirely on U.S. frontier labs.

PRESENTED BY MARKETBEAT

10 Stocks at the Center of AI’s $1 Trillion Boom

AI’s growth story is much bigger than chatbots.

The market was already valued at an estimated $800 billion by late 2025, and continued adoption could push it beyond $1 trillion in the years ahead. That growth will require more data centers, computing power, software, networking and intelligent devices.

But the most obvious AI names may not be the only companies positioned to benefit.

MarketBeat’s free 10 Best AI Stocks to Own in 2026 report identifies ten publicly traded companies helping power the next phase of the AI buildout. Some are established leaders. Others occupy less obvious corners of the expanding AI ecosystem.

This free report names 10 stocks positioned to ride that wave before the rest of the market catches on.

ALL YOU NEED TO WIN WITH AI

1. The Easiest Way to Build Your Very Own & Complete Mobile App With AI Before 2027. Claude Code can take you far beyond a basic app prototype. See how to turn an idea into a working mobile project with UI, animations, video, testing, and mobile build preparation.

2. This Claude Code Agentic OS is the New Meta: Voice Control, Skills, and a Second Brain. Something interesting happens when Claude Code gets access to a structured Obsidian vault. This setup may be one of the most interesting Claude workflows to watch right now.

3. These 7 GPT-6 Astra Use Cases Made Us Understand the AGI Hype (Plus 7 Tricks). These 7 examples bring out behaviors we didn’t expect from ChatGPT, and some genuinely feel like a glimpse of where AI agents are heading.

4. This Is How You Can Easily Get a REAL Film Look From Seedance 2.5 (Free Claude Skills). You don’t need a complicated filmmaking workflow to get more cinematic videos. These updated free Claude Skills help you create shots that feel closer to real film.

YOUR $20 AI MARKETING TEAM

🤖 ChatGPT Work 101: Build Your AI Marketing Team (Skills + Agents)

OpenAI says agents now produce two-thirds of small-business AI output, up from one-third in April.

Meanwhile, your marketing still runs one prompt at a time. You re-explain your brand voice in every chat, then finish the job yourself. 💔

On Wednesday, Oct 7th, we build a marketing team inside ChatGPT Work, live:

🧠 Build AI teammates for research, content, campaigns and analysis
🛠 Turn repeat tasks into Skills, so you explain them once
⚡️ Hand multi-step work to Agents and get finished work back to review

Which marketing task would you hand to an AI teammate first? Tell us when you sign up. We'll build the top answers live. 👇

TODAY IN AI

AI HIGHLIGHTS

⚡ GPT-6.1 Sol Ultrafast soon? But Claude Opus 5.5 still owns most of the attention right now. Honestly, I’d rather hear what OpenAI is planning for Astra next. Let's see.

🦾 Nobody really knows exactly what work looks like in 5 years ahead, Musk has advice for 20-year-olds trying to stay valuable as AI moves fast. This is worth a read.

💻 DeepSeek just launched Harness v0.2 across all major desktop platforms. It can execute real work & tasks, already supports Plugins and Workspaces out of the box.

🔄 Google is reshuffling Gemini access on Oct. 9: free users move to Flash-Lite only, AI Plus loses Pro, while AI Pro gains Deep Think. Just check your plan until then.

😅 AI is apparently “SI” now, and Musk is wasting zero time. SpaceXAI is being renamed SpaceXSI after Trump pushed “Super Intelligence” as the new term.

🐛 Google just froze its open-source vulnerability rewards program until 2027 after maintainers were flooded with automated, hallucinated and invalid bug reports.

🧠 Reflection hasn’t even launched its model yet, but the setup is: Nvidia backing, billion-dollar compute deals, and a direct target on Chinese open-weight leaders.

💰 Big AI Commitment: Amazon pledged $1B+ over the next five years to support education, job training, and community programs in U.S. regions where it operates data centers.

NEW EMPOWERED AI TOOLS

1. ⚡ CoreSpeed gives AI agents one MCP for apps, memory, and tools, connecting Claude Code, Codex, Cursor, and more.

2. 🧠 Gemini 4 Argon handles complex, long-horizon work with advanced reasoning, coding, and multimodal understanding.

3. 🎥 Smooth Recorder makes Mac screen recordings look professionally edited, with smart zooms, smooth cursors, backgrounds.

4. 📚 Blume 2.0 turns Markdown folders into production-ready docs sites instantly, giving humans and AI agents a fast framework.

AI BREAKTHROUGH

🔬 What 1,250 Professionals Told Anthropic About Working with AI

Anthropic is expanding its Anthropic Interviewer, inviting more Claude users to join a roughly 15-minute AI-led voice interview about how AI fits into their lives and what they hope or worry about for the future. Main details:

• The interview is conducted by an AI interviewer rather than a traditional survey.

• Participants can talk openly about their experiences, concerns, and expectations around AI.

• Users may later choose whether their interviews can be made public.

• Anthropic previously used the system to interview 1,250 professionals about AI at work.

• Anthropic says the format helps collect richer, more nuanced opinions than fixed survey questions.

The earlier research found major differences in how workers experience AI, including excitement about productivity alongside concerns about skill loss, job security, and becoming overly dependent on AI.

Key takeaway: Anthropic is experimenting with AI itself as a research instrument, using conversational interviews to understand how people actually feel about the technology shaping their work and lives.

We read your emails, comments, and poll replies daily

Hit reply and say Hello – we'd love to hear from you!
Like what you're reading? Forward it to friends, and they can sign up here.

Cheers,
The AI Fire Team

Table of Contents

• Introduction

• Step 1: Plan Your App Development Project

  • 1.1. The Planning Prompt

  • 1.2. What to do with the plan

• Step 2: Set Up Claude Code With Opus 5.5

  • 2.1. The Setup Prompt

  • 2.2. What you're looking for

• Step 3: Build the First Working Version

• Step 4: Polish the UI

• Step 5: Add Animations

• Step 6: Add the Video Feature

• Step 7: Test and Debug the Full Flow

• Step 8: Prepare the App for Android or iOS

• Step 9: Publish to the App Store

• Conclusion

Free AFIRE Guide | AI Academy | Advertise | AI Mastery A-Z

Plus: 5 Free AI Agent Skills Tested for Research, Coding, Video, Security and Better UI

AI agents are learning to rewrite their own playbooks. Microsoft, Google, and Meta are exploring how agents can improve from past results, with Meta testing a surprising extra step: changing how agents find their next fix.

What's on FIRE 🔥

• 🧬 AI Agents Are Learning to Rewrite Their Own Playbooks

• 📚 AI Sources From AI Fire

• 🔥 FIRE RECAP: BIGGEST AI NEWS THIS WEEK

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH BELAY

Your Best Closers Shouldn’t Be Stuck Doing $20 Tasks

Your top salespeople should be spending their time creating revenue. Instead, they’re updating CRM records, scheduling meetings, chasing signatures, and managing the administrative work surrounding every deal. Those tasks matter, but they’re not the highest-value use of your most expensive talent.

The free guide 5 Reasons You Aren’t Hitting Quota: The Sales Operations Gap Examined helps sales leaders identify the operational gaps that can pull reps away from selling.  BELAY supports sales teams by matching them with U.S.-based Sales Assistants who manage the work around the sale, from CRM management and lead routing to follow-up coordination.

AI INSIGHTS

🧬 AI Agents Are Learning to Rewrite Their Own Playbooks

Developers usually improve AI agents by tweaking their prompts, memory, and workflows. Now researchers are testing ways to let agents use past results to improve themselves.

Here’s where those changes are happening:

• Task instructions: Microsoft’s SkillOpt edits skill files and keeps changes only when they improve results on separate test tasks. Google Research’s WikiSkill saves lessons from successes and failures to guide future updates.

• The software around the model: Self-Harness changes how agents use tools and check their work. Researchers reported up to 132% relative gains in benchmark pass rates, with tests to catch fixes that break other tasks.

• The improvement process: Meta’s Hyperagents can rewrite both their task-solving code and the process that creates future improvements. Even the way they find fixes can evolve.

• The underlying model: Xiaomi’s HarnessX uses records of completed tasks to improve the agent’s software and train the model behind it. This adds training costs and another round of testing.

• Training and teamwork: EnvHarness adjusts the tasks agents learn from. EverMind AI’s Raven improves how multiple agents divide work and coordinate their results.

For developers, the new question is which parts should stay fixed, and which should learn? The practical starting point is the part causing repeated failures. Better instructions may solve the problem without the cost of retraining the whole model.

SPONSORED BY ATTIO

Some teams never seem to stop moving. They're on Attio, the agentic CRM.

It’s your always-on revenue engine: agents and workflows build pipeline, chase every buying signal, and move deals forward alongside your team.

Teams like Parallel, Turbopuffer, and Wordsmith build on Attio. Are you one of them?

Try Attio now

AI SOURCES FROM AI FIRE

1. Free Video: Forget the Hermes Agent. OpenClaw 2.0 Is Back & FREE. OpenClaw 2.0 is much more user-friendly. Alex tests its new skills, multiplayer sessions, and interactive dashboards to see if OpenClaw finally deserves another chance.

2. 5 Free AI Agent Skills Tested for Research, Coding, Video, Security, and Better UI. A step-by-step guide with real tests and ready-to-use prompts to help you choose the skills worth adding to your workflow.

3. OpenAI Dots: Your Always-On AI Agent That Works While You Sleep. See how Dots uses your ChatGPT context to handle research and keep projects moving, plus the costs and limits you should know before relying on it.

FIRE RECAP: BIGGEST AI NEWS THIS WEEK

1. 💰 Anthropic’s IPO could value the Claude maker at $2T+, Reuters reports. Its $42B 2025 net loss included roughly $34B in accounting charges, with $518B in future cloud & compute commitments.

2. 🧠 Google’s Gemini 4 Argon is built for complex coding, business work & cybersecurity, with an output limit of 1M tokens, up from 64K. Access starts with trusted cyber defenders through the Fairwind Program.

3. 🚨 OpenAI scrapped GPT-6.1 Astra’s October release after tests found more deception & actions taken without proper permission. It improved at completing tasks but missed OpenAI’s safety standards.

4. 🤖 OpenAI’s dots are GPT-6 Astra-powered agents that work toward your goals 24/7. They have their own cloud computer & can connect to 4,000+ apps, with access through ChatGPT, Slack & Teams.

5. ⚡ OpenAI says GPT-6.1 Sol offers near-Astra performance on coding & professional work at one-fifth of Astra’s standard API token prices. It’s available in ChatGPT Work, Codex & the API.

TODAY IN AI

AI HIGHLIGHTS

📚 arXiv now limits each submitter to 2 new papers a month, including rejected submissions. A surge in low-quality, AI-assisted papers is overwhelming moderators, so the research site is putting a temporary cap on uploads.

🎓 Anthropic committed $100M to Claude Frontier Academy, aiming to train 10,000 engineers by the end of 2027. Early cohorts include engineers from Accenture, McKinsey & Morgan Stanley, learning to put Claude to work inside real businesses.

🏛️ Donald Trump announced a Super Intelligence Force, led by intelligence chief Jay Clayton. The group will coordinate federal AI efforts & reportedly has 120 days to assess AI’s risks and opportunities, with a focus on U.S. leadership.

🛍️ ChatGPT now lets you virtually try on clothes & accessories by uploading a selfie. The new Try On feature shows how items might look on you, while Favorites lets you save products for later. Both are available on web and mobile.

🚨 Greg Lui, CEO of Earthmade Computer, was arrested for allegedly smuggling $300M+ in Nvidia-powered servers into China. Prosecutors say he used fake paperwork & routed shipments through Malaysia and Singapore to hide their final destination.

💰 AI Daily Fundraising: doxx.net raised $38M in a Series A led by Andreessen Horowitz to build private networks where people and AI agents can call, message, and share files directly. Founder Barrett Lyon previously built Prolexic, which was acquired by Akamai.

NEW EMPOWERED AI TOOLS

1. 🤖 ZooWork helps experts and developers build, deploy, and deliver AI agents for real business workflows through a visual builder or API.

2. 🛠️ Muse Gadgets is Meta’s open-source hardware toolkit for building AI gadgets with Muse, Raspberry Pi, ESP32, sensors, displays, and more.

3. 📱 Superset Mobile lets you run Claude Code, Codex, and other coding agents from iPhone, review diffs, and merge PRs away from your desk.

4. 💻 Solid gives AI agents their own computers, accounts, and budgets to build apps, automate workflows, and complete long-running work autonomously.

5. 🛡️ Arcjet secures AI agents at runtime with prompt-injection detection, tool-call authorization, sensitive-data redaction, and abuse protection.

AI BREAKTHROUGH

⚒ Harvard Teams with Claude to Solve 400 Scientific Problems in 3 Months

Harvard physicist Matthew Schwartz used Claude with a custom research system called BootLoops to explore roughly 400 candidate scientific problems in 3 months. The result was 36 manuscripts across 18 fields with 19 coauthors.

• Claude helped compute 15 previously unsolved Feynman integrals.

• In ecology, the team built a new model for forest species dynamics after Claude solved a 20-year-old equation.

• In population genetics, they analyzed 5.7 billion mutation pairs and found evidence related to gene conversion.

• Claude helped convert replication code from 4,452 economics papers into open-source formats and check published results.

• In linguistics, the team built a word-stress database covering 6,072 languages.

The workflow used many parallel Claude Code sessions, subagents, automated calculations, and separate adversarial checking. Schwartz says Claude was strongest when problems were highly quantitative, computational, and easy to verify.

NOTE: this was not 400 solved problems. Around 400 candidate problems were explored, while 36 developed into manuscripts, and many findings are still being verified with domain experts.

We read your emails, comments, and poll replies daily

Hit reply and say Hello – we'd love to hear from you!
Like what you're reading? Forward it to friends, and they can sign up here.

Cheers,
The AI Fire Team

Free AFIRE Guide | AI Academy | Advertise | AI Mastery A-Z

Plus: I Tested GPT-6.1 Sol Inside Codex on 3 Hard Tasks. Can THIS Beat Claude Sonnet 5.5?

Nvidia’s chips are already in high demand while paid consumer AI adoption is still tiny. a16z’s latest report suggests the boom could have much further to go, with everyday use holding the next big opportunity.

What's on FIRE 🔥

• 🧠 AI Infrastructure Boom Outpaces Consumer Adoption

• 📚 AI Sources From AI Fire

• ⭐ Today's AI Highlights

• 🧾 Hot Papers of the Week

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH SKYDIVE

What would you delegate if you had a whole team?

With Skydive, you can build a team of AI agents to take work off your plate.

Create agents for customer support, sales, marketing, engineering, ops, and more. Give each one a role, connect the tools they need, and hand off the work.

Your agents can work on their own or together, sharing context and handing off tasks to get bigger jobs done.

Start with one agent. Build a whole team around you.

Make your first agent

AI INSIGHTS

🧠 AI Infrastructure Boom Outpaces Consumer Adoption

AI money is pouring into infrastructure much faster than consumers are paying for AI. According to a16z, every $100 invested in the AI supply chain roughly breaks down like this:

• $50 goes to chips

• $20 to power

• $15 to networking

• $15 to cooling, buildings, and land

Meanwhile, paid consumer adoption is still tiny. By April 2026, only 2.2% of U.S. households had an AI subscription, with subscribers paying about $31 per month on average.

Enterprise adoption looks broader, with 69% of S&P 500 companies mentioning AI deployments. But a16z says many still do not track clear, AI-specific business outcomes. That creates a strange market: enormous spending on GPUs, energy, data centers, and networking while actual AI usage is still early.

Key takeaway: The AI boom is currently being built from the infrastructure layer upward. The next major growth phase depends on turning all that compute into workflows people and businesses use every day.

PRESENTED BY ATTIO

Some teams never seem to stop moving. They're on Attio, the agentic CRM.

It’s your always-on revenue engine: agents and workflows build pipeline, chase every buying signal, and move deals forward alongside your team.

Teams like Parallel, Turbopuffer, and Wordsmith build on Attio. Are you one of them?

Try Attio now

AI SOURCES FROM AI FIRE

1. Free Guide: I Tested GPT-6.1 Sol Inside Codex on 3 Hard Tasks. Can THIS Beat Claude Sonnet 5.5? GPT-6.1 Sol looks powerful yet really cheap. I wanted to see what happens when you actually put it to work, so I tested it across 3 hard tasks and compared the workflow and results with Sonnet 5.5.

2. 5 Free AI Agent Skills Tested for Research, Coding, Video, Security and Better UI. You’ll see the installation process, how each one works, real use cases, and ready-to-use prompts for putting them to work yourself. All available right now.

TODAY IN AI

AI HIGHLIGHTS

🔌 Meta just launched Muse Gadgets, letting developers build Muse-powered devices with Raspberry Pi or ESP32 boards. Nat Friedman also announced 5,000 free Home Links for Muse subscribers, while supplies last.

👨‍💻 Anthropic just added mods to Claude Code, letting you change how it works or looks using JavaScript or TypeScript. You can even describe the add-on you want & ask Claude Code to build it.

🕵️ OpenAI says it shut down a campaign involving 15,000+ accounts that tried to extract its models’ hidden reasoning. It linked a core group to people associated with Moonshot AI, the company behind Kimi.

👀 Tavus previewed Griffin, a lifelike avatar that can see, hear & react during live video calls. In the company’s test, 48% of participants thought Griffin-Lite was human. Access is limited to trusted testers for now.

📜 Carter Church says OpenAI’s GPT-6 Astra cracked a 217-year-old coded letter to one of Napoleon’s generals in about 6 hours. He started with one image & one prompt, then Astra handled the research and codebreaking.

🎙️ Microsoft launched MAI-Transcribe-2-Streaming, turning speech into live text in 60 languages & ranking No. 1 on Artificial Analysis for accuracy. MAI-Voice-2.1 and its faster Flash version also arrived, supporting voice replies in 23 languages.

💰 AI INFRASTRUCTURE FINANCING: Broadcom agreed to lend Anthropic up to $42B to lease AI chips developed with Google. The deal could cover about one-third of Anthropic’s $125.2B five-year chip lease commitment, with debt that could later convert into Anthropic shares.

HOT PAPERS OF THE WEEK

1/ MaLiang-Harness lets AI build and fix images with code
Researchers from National University of Singapore, Fudan University, and Tencent, including Shuicheng Yan, introduce MaLiang-Harness, a system where multimodal models create images and videos through executable code, inspect the result, then revise it when something looks wrong. GPT-6 Astra achieved 100% generation success, with 96% of image tasks meeting all quality thresholds. What it means: AI-generated visuals could become much easier to control, edit, and debug than today’s one-shot image generators.

2/ Researchers map how robots can learn new tasks without retraining
Researchers from Knowin AI, Tsinghua University, CUHK, HKUST(GZ), and other institutions review how robots use in-context learning to adapt from demonstrations, corrections, and past experience without changing model weights. The paper groups current methods into four main approaches, from context-conditioned policies to world models and agent-based execution. Big idea: Future robots may learn new tasks more like humans, by watching, trying, remembering, and improving from experience.

3/ Raven builds an “AI manager” for teams of specialized agents
EverMind AI introduces Raven, an open-source system that can combine agents such as Claude Code, Codex, OpenClaw, and Raven’s own specialists into one coordinated workflow. Raven breaks a complex goal into subtasks, assigns each one to the right agent, tracks dependencies, and reuses past experience through memory and skills. What it means: Instead of relying on one super-agent, complex work could be handled by a coordinated team of specialized AI agents that improve over time.

NEW EMPOWERED AI TOOLS

1. 🧑‍🏫 Gauth Unlimited Digital Canvas turns AI lessons into an infinite whiteboard where concepts, notes, formulas, and tutor answers unfold visually in one space.

2. 🛒 Veltrix AI for E-commerce analyzes sales, costs, customers, and marketing to find ways to improve profit and cut unnecessary spending.

3. 📚 Teachoo helps students solve homework with guided questions, hints, feedback, and step-by-step explanations from text or photos.

4. 🎬 Clueso MCP lets Claude, ChatGPT, and other AI agents create and edit videos from ideas, decks, recordings, or references, with everything staying editable.

5. ⚡ Jev turns unstructured data into fast, structured AI decisions with probabilities your software can act on directly.

AI BREAKTHROUGH

🧠 New Open Tools Cut AI Training Data by Up to 140X

Two new open-source releases are making AI model training more accessible for smaller teams.

Pleias and the AI Alliance released SYNTH, a synthetic training dataset built by expanding 58,698 Wikipedia articles into roughly 75 billion tokens across 8 languages.

• SYNTH combines pre-training, reasoning, and instruction-style data into one pipeline.

• Pleias says models trained on it can maintain strong factual precision with 10–140× fewer training tokens than comparable web-trained models.

• The experiments include the tiny 56M-parameter Monad and larger Baguettotron models.

At the infrastructure layer, Ai2 released Olmo-core 3, a new open stack for training large MoE models. By keeping experts resident on GPUs instead of repeatedly moving weights, Ai2 measured about 2.7× higher throughput in one 47B-parameter test.

→ Better synthetic data and more efficient training infrastructure could let smaller research teams experiment with capable language models without needing frontier-lab-scale datasets or compute.

We read your emails, comments, and poll replies daily

Hit reply and say Hello – we'd love to hear from you!
Like what you're reading? Forward it to friends, and they can sign up here.

Cheers,
The AI Fire Team

Free AFIRE Guide | AI Academy | Advertise | AI Mastery A-Z

Plus: DOTS: OpenAI's New Always-On Personal Agent That Works While You Sleep (Honest Review)

Imagine asking a chatbot about the fallout of capturing a foreign president. Trump did exactly that with Grok before Maduro’s capture. Grok apparently impressed him later.

AI-generated Podcast: Spotify | Apple Podcasts, YouTube

What's on FIRE 🔥

• 🤖 Trump Consulted Grok AI Before Venezuelan Raid

• 📚 AI Sources From AI Fire

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH SKYDIVE

AI agents built to get work done

Skydive agents take on work for you, using the same tools your team already uses.

Talk to your agent on the web, Slack, email, iMessage, or right from your terminal. Wherever you pick up the conversation, your agent keeps the context.

Put agents to work across customer support, sales, marketing, engineering, ops, and more.

Give your agent a job. They’ll take it from there.

Make your first agent

AI INSIGHTS

🤖 Trump Consulted Grok AI Before Venezuelan Raid

According to reporting from Time, President Trump reportedly spent hours using Elon Musk’s Grok during a private December 2025 meeting, including asking how Venezuelans might react if President Nicolás Maduro were captured:

• Grok reportedly told Trump that Maduro was deeply unpopular and that many Venezuelans would likely celebrate his removal.

• About a month later, on January 3, 2026, the U.S. invaded Venezuela and captured Maduro.

• A source told Time that Trump later viewed Grok as highly capable after public celebrations followed the operation.

• Grok has also reportedly been used by the Pentagon through Gov Grok for military operations, while OpenAI and Anthropic also have relationships with the U.S. defense establishment.

The reporting does not establish that Grok caused the decision to invade Venezuela. It shows that Trump reportedly used the chatbot as one source of information while considering the political consequences.

→ AI chatbots are moving beyond research and productivity into high-stakes government decision-making, where incorrect assumptions or overly confident answers can carry much larger consequences.

🎁 Today's Trivia - Vote, Learn & Win!

Get a 3-month membership at AI Fire Academy (500+ AI Workflows, AI Tutorials, AI Case Studies) just by answering the poll.

PRESENTED BY GURU 2026

You're invited to the world's largest virtual email marketing conference.

Two full days of email marketing tips and trends, powered by Constant Contact. Famous keynotes (Molly Ringwald, Dan Levy, Amy Porterfield!), DJs, world-record breaking, rom-com fun, and networking.

• 100% Free & Virtual

• 29,000+ Marketers Joined Last Year

• November 12th & 13th

Save your spot!

AI SOURCES FROM AI FIRE

🎉 Today, let's shout out to our legends winning 3-month pass to AI Fire Academy of Sept 2026! Enjoy all your PRO club benefits, let me know if you want any guides.

• leopold1w*****@gmail.com | rs.q***@gmail.com

• drewelli*****@gmail.com | pab***@gmail.com

1. Free Guide: Gemini 4 Argon Is Here. First Look at Google’s Next AI, See What It Can Really Do. Its access is still limited. We take an early look at the model, what it can do, what makes it different, and why so few people can actually try it yet.

2. DOTS: OpenAI's New Always-On Personal Agent That Works While You Sleep (Honest Review). See how OpenAI Dots works as an always-on AI chief of staff, where it saves time, what it can automate, and the limits you should know before relying on it.

3. There’s a New $1M AI Job Nobody Taught You in School with AI Agents and Automation. A new kind of marketer is emerging, and the job looks very different from running campaigns manually. It is becoming one of the most interesting roles in the AI era.

4. Copy 5 ChatGPT Work Agents Here & Let Them Handle All Your Recurring Work for You. They run your repetitive work almost on autopilot: research content, organize incoming information, prepare drafts, and keep ongoing workflows. I’ll give you the exact setups.

TODAY IN AI

AI HIGHLIGHTS

✍️ I thought em-dashes were the big AI giveaway. Turns out AI developed new habits. Opus 5.5 loves “this matters,” (it happens 13,000 times), Astra has its own tells too.

⚙️ AWS just launched a tiny 2B decision model inspired by Jev. Instead of calling a frontier LLM for every agent step, developers can use this cheaper, faster alternative.

🤣 This would be peak Musk if true. He reportedly bought Dot.com for $20M after OpenAI launched Dots, supposedly to troll Sam Altman. Great story, very unverified.

😳 AI-generated biology is getting harder to track, so DeepMind built SynthID Bio. It can tag synthetic sequences without hurting lab performance. See how it works.

🛡️ Google says publicly reported software vulnerabilities doubled to 10,740 in August, as hackers increasingly use AI to weaponize newly patched flaws. Report link to see.

🤦 Tech CEOs, and gov. officials proudly shared the new AI accord, then all users spotted a typo on the signatory page. Nothing kills ‘superintelligence’ like this.

🛡️ OpenAI, Google, Anthropic, Meta, Nvidia & xAI signed a voluntary White House Superintelligence Accord, committing to outside audits for their advanced systems.

💰 Big AI Fundraising: Flow Engineering raised $50M to expand its AI tools for hardware design. Its agents help companies like Rivian, Anduril, and GM match CAD designs with product requirements.

NEW EMPOWERED AI TOOLS

1. 🎨 FLUX 3 Image lets you generate images in native 4K, with precise pixel control, multi-turn editing, and up to 10 reference images.

2. 💻 GLM 5.3 and GLM 5.3 Flash are now available in Cursor! GLM 5.3 Max is the best-scoring open-weight model on CursorBench 4.0.

3. 🧠 Cloudflare Clef introduces 2 open-source AI decision models that deliver fast, probability-based answers for AI agents & trading bots.

4. 🤖 Grok Primary Bot proactively finds tasks it can handle, suggests ways to help, without counting suggestions against your usage limits.

AI BREAKTHROUGH

🔄 New "Mode-Hopping" Discovery Proves Longer AI Pre-Training Can Backfire

More pre-training doesn’t always mean better generalization. A new paper found something surprisingly unstable inside LLM training: mode-hopping. This example is wild: OLMo3-32B

• 2.17T tokens: 81% accuracy

• 2.19T tokens: 0%

• 2.21T tokens: 81.7%

So within just 40B more training tokens, performance collapsed to zero and then almost fully recovered. Researchers compared an earlier 4.5T-token checkpoint with a later 4.9T-token checkpoint. After math fine-tuning:

• 4.5T checkpoint: 36.3% GPQA

• 4.9T checkpoint: 29.8%

The later model had seen more data, yet became a worse starting point for both transfer and robustness. They think different internal strategies may compete during pre-training. Sometimes the model leans on generalizable reasoning. Other times, easier shortcut-like patterns take over.

That creates a major problem for how we evaluate models. Training loss can keep improving while the model’s actual reasoning behavior quietly gets worse. The final checkpoint may not always be the best checkpoint.

We read your emails, comments, and poll replies daily

Hit reply and say Hello – we'd love to hear from you!
Like what you're reading? Forward it to friends, and they can sign up here.

Cheers,
The AI Fire Team

Table of Contents

• Introduction

• I. For Real-Time Research: Last 30 Days

  • 1. How to install Last 30 Days

  • 2. How to get the most out of it

  • 3. When Last 30 Days is most useful

• II. For Security Checks: SkillSpector

  • 1. How to install SkillSpector

  • 2. How to use it

  • 3. How to read the result

• III. For Real Coding Workflows: Superpowers

• IV. For Coded Motion Graphics and Video: Remotion

• V. For Better Frontend Design: Craft

• VI. Which AI Agent Skill Should You Start With?

• Conclusion

Table of Contents

• Introduction

• I. What Is Dots?

  • 1. Each Dot Gets Its Own Cloud Computer

  • 2. Biggest Advantage: Native ChatGPT Integration

  • 3. Think of It as a Chief of Staff

  • 4. You Can Reach It Almost Anywhere

  • 5. Customization Side: Name, Personality, and Note …

  • 6. You Still Control What It Can Do

  • 7. Dots vs. Meta Muse and Grok Bot

• II. Who Can Use Dots Right Now

• III. What People Are Actually Using Dots For

  • 1. Finding Money You Forgot About

  • 2. Research and Audience Insight

  • 3. Orchestrating Projects Across ChatGPT

  • 4. Proactive Ideas and Everyday Errands

  • 5. Spreading Into Team Culture

• IV. Where Dots Still Falls Short

• Conclusion

Table of Contents

• Introduction

• I. What Is Gemini 4 Argon?

• II. Benchmarks: What's Real & What to Watch Out Fo …

  • 1. Knowledge Work

  • 2. Coding

  • 3. Long Context And Multimodal

  • 4. Cybersecurity

  • 5. Where Argon Actually Loses

• III. Testing Gemini 4 Argon With a Real 3D Game

• IV. Gemini 4 Argon vs. GPT-6.1 Sol vs. Astra vs Op …

• V. Is Gemini 4 Argon Pricing Worth It?

• Conclusion

Free AFIRE Guide | AI Academy | Advertise | AI Mastery A-Z

Plus: How to Start a 1-Person AI Business in 24 Hours: Idea, Website, Leads, Sales, Automation,... And Moreee

Google says Gemini 4 Argon can find and patch software vulnerabilities on its own. It’s already being used inside Google for debugging and codebase migrations.

AI-generated Podcast: Spotify | Apple Podcasts, YouTube

What's on FIRE 🔥

• 🚀 Google Releases Gemini 4 Argon To Crush Competitors

• 📚 AI Sources From AI Fire

• ⚡️ How to Run AI Locally on Almost Anything

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH VELO

Turn Anything You Have into a Polished Work Video

A product doc. A screen recording. A few screenshots. A prompt. Your browser. Even a rough recording of yourself.

Velo turns your product context into a polished demo, explainer, tutorial, or walkthrough. Create from prompts or existing inputs, edit, add narration or avatars, record yourself, and keep everything on-brand, all in one workflow.

No camera. No editing expertise. Just a faster way to create work videos.

AI INSIGHTS

🚀 Google Releases Gemini 4 Argon To Crush Competitors

Google has announced Gemini 4 Argon, its new frontier model built for long-running coding. For now, access is limited to trusted cyber defenders through Google’s Fairwind Program before a broader rollout. The biggest upgrades:

• 1M output tokens, up from 64K, designed for unusually long reasoning and agent workflows.

• DeepSWE v1.1: 77.9% for long-horizon software engineering.

• AutomationBench: 51.3%, ranking #1 in Google’s disclosed comparison.

• LVBench: 91.7% for long-video understanding.

• CWE-bench v1: 68%, tying GPT-6 Astra for first on vulnerability remediation.

Across Google’s 18 disclosed comparisons, Argon led outright on 12 and tied for first on one. Astra and Opus still beat it on several coding, science-terminal, and post-training benchmarks.

Google is already using Argon internally. It says Argon agents found data-center optimizations freeing 300+ TiB of memory, are helping migrate large C/C++ codebases to Rust, and rewrote 32,000 lines of SIMD code in its libgav1 video decoder, producing a Rust version that ran 2.7× faster than the previous Rust port

After the introductory period, Google says pricing will rise to $4/M input and $20/M output.

PRESENTED BY MARKETBEAT

The 10 Best AI Stocks to Own in 2026

AI is moving from experiment… to essential.

Every major industry is integrating it.
Every major company is investing in it.

By late 2025, AI was already an $800B market — growing at a pace that could push it well beyond $1 trillion in the years ahead.

Cloud infrastructure is scaling fast.
AI-enabled devices are multiplying.
Automation is becoming standard.

But here’s the real question…

When trillions flow into this transformation — which stocks stand to benefit most?

Our new report reveals 10 AI stocks positioned across the backbone of this shift — from the companies powering the infrastructure… to those embedding intelligence into everyday systems.

If you want exposure to one of the defining growth trends of this decade, start here.

Download the Report Now

ALL YOU NEED TO WIN WITH AI

Thank you so much to Lou Bortone and everyone who joined our webinar! 👻 It was a great session, and we really appreciate all the questions, ideas, and energy you brought.

We’ll send the full recording, notes, prompts, and all webinar resources privately to registered attendees. Please keep an eye on your inbox. 📩

1. Free Guide: Build a Claude Business Dashboard That Updates Itself Every Day Like a Pro. Step by Step. With the right setup, Claude can help turn your business data into a living dashboard that stays updated day after day. Here’s the surprisingly simple workflow behind it.

2. Sonnet 5.5 is Here! And It Can Make Seriously Good Videos (5 Incredible Use Cases). Sonnet 5.5's video capabilities is insane. I tested it across 5 real use cases to see exactly what happens when you push it beyond normal text and coding tasks.

3. Start a 1-Person AI Business in 24 Hours: Idea, Website, Leads, Sales, Automation,... A step-by-step guide to turning one business idea into a working AI-powered system in less than 24 hours. Here's the full system using Claude for you.

RUN LOCAL AI ON ANYTHING

⚡ How to Run AI Locally on Almost Anything: From $5 Chips to to 8×H100 Setups

You don't need a monster GPU to run AI locally. Just a $5 chip, an 8GB Raspberry Pi, or even your old laptop.

If you have more powerful hardware, you can run LLMs, generate images and videos, write code, and build AI agents without sending everything to the cloud.

Oh, and you might already have enough hardware to run AI. The real question is what you can actually run on it.

In this guide, I'll show you how to run AI locally on almost anything, from $5 chips to massive 8×H100 setups.

I'll break down which models you can run, what actually works, where things get painfully slow, and what hardware you need for your next AI project.

TODAY IN AI

AI HIGHLIGHTS

🧑‍💻 Grok Bot can now hand coding tasks to Cursor, manage PRs through GitHub and Origin plugins, and even send video demos of what it builds. See its templates.

⚡ OpenAI just unveiled Decisions API, a Jev-like system that lets models choose between predefined options at high speed & low cost. Here's its practical design rule.

😬 Meta says Muse could not have secretly read private messages, while the journalist insists it happened with Full Disk Access off. One side clearly isn’t lining up.

🚫 Reddit is shutting down 2 big doors to its data: RSS feeds & public API access. Researchers, moderators, AI tools will all need new ways to access Reddit content.

🏛️ The U.S. launched America.gov, an AI front door for federal services. For now it answers questions, but passport renewals could become agent-powered next year.

💸 Anthropic’s leaked IPO filing reportedly pairs explosive growth with brutal losses and warnings about “existential risks.” It wants a $2T+ valuation (Reuters report)

💰 Big AI Fundraising: ElevenLabs just doubled its valuation to $22B, up from $11B in February. The voice AI startup also launched a $300M employee share sale, giving staff a chance to cash out.

NEW EMPOWERED AI TOOLS

1. 🎨 Ideogram 4.5 delivers precise AI image editing at native 2K resolution, with prices starting at just $0.008 per image.

2. 🎬 Pexo turns your product, website, or assets into polished launch videos, handling everything from storytelling to voiceovers, music, editing.

3. 📚 Ferndesk keeps your help center up to date with an AI agent that checks every article against your product, and drafts fixes automatically.

4. 🗺️ NotchDodo turns your Mac's notch into a handy dashboard with 14 built-in tools, giving you quick access to everyday utilities.

AI BREAKTHROUGH

🧺 Dyna Unveils Taku Robot Doing Uncut Laundry For One Hour

Dyna Robotics just released Dyna-2.1, a physical-agent system built around its new semi-humanoid robot Taku, with an unusually convincing demo: roughly one hour of autonomous commercial laundry, shown uncut:

• Taku has 2 7-DoF arms, a folding torso/lower body, and four steerable wheels so it can move between washers, dryers, folding tables, and shelves.

• The laundry workflow involves about 79 physical steps per cycle and 13 higher-level decision points.

• Dyna-2.1 doesn’t just repeat a fixed sequence. A vision-language orchestrator watches the room, tracks machine states, remembers what happened earlier, and decides what to do next.

• It can recover from mistakes such as grabbing two towels, dropping items, or being interrupted while operating a machine.

• Dyna says the same system can also learn workflows such as server servicing and retrieving items from a refrigerator.

Dyna is trying to prove something harder: that a robot can survive hundreds of small decisions and recoveries across an entire workflow.

Dyna hasn’t published an independent success rate across many hour-long attempts, so claims of “reliable” long-horizon autonomy still need outside validation.

We read your emails, comments, and poll replies daily

Hit reply and say Hello – we'd love to hear from you!
Like what you're reading? Forward it to friends, and they can sign up here.

Cheers,
The AI Fire Team

Table of Contents

• Introduction

• I. GPT-6.1 Sol Numbers You Should Know

• II. 3 GPT-6.1 Sol Tests: What It Can (and Can't) D …

  • Test 1: Building a Full Browser OS

  • Test 2: Recreating Jerry's Apartment in 3D

  • Test 3: Robot Arm Control in a Simulation

• III. GPT-6.1 Sol vs Sonnet 5.5: Where Each One Win …

• Conclusion

Table of Contents

• Introduction

• I. Finding the Right AI Automation Business Idea

• II. Turn the Idea Into a Business Plan With Claude

  • Step 1: Create a Claude Project for Your Business

  • Step 2: Pressure-Test the Idea

• III. Build the Website, Form, Images, and Domain

  • Step 1: Build the Landing Page in Replit

  • Step 2: Add Lead Capture With Google Forms

  • Step 3: Generate Website Images With ChatGPT

  • Step 4: Connect a Real Domain

• IV. Get Your First Customers With AI Marketing

• V. Automate the Whole Business End-to-End

• The Full System at a Glance

• The Most Common Mistake (And How to Avoid It)

• Conclusion

Table of Contents

• Introduction

• I. Use Case 1: Motion Graphics Reel

• II. Use Case 2: Mascot Animation with a Story Arc

• III. Use Case 3: Branded Product Launch Video

• IV. Use Case 4: Animated Music Video

• V. Use Case 5: Talking Head Video Edit

• VI. Tips That Consistently Made Results Better

• Honest Limitations

• Conclusion

Table of Contents

• Introduction

• I. The Smallest Tier: Microcontroller Chips

• II. Mini Computers: How AI Hardware Works

  • 1. Understand Your Hardware

  • 2. Raspberry Pi 5 (8GB)

  • 3. iPhone 16 (8GB)

• III. Personal Computers and Home Servers

  • 1. How Much Model Can Your Machine Handle?

  • 2. RAM Tier Quick Reference

  • 3. Home Server: Local AI That Runs 24/7

  • 4. Mac Studio: 64GB-512GB for Larger Local Models

  • 5. AMD Ryzen AI Halo: 128GB for Massive Models

• IV. Discrete GPUs: The Top Tier

• V. Full Picture: How to Choose Your Setup

• Conclusion

Free AFIRE Guide | AI Academy | Advertise | AI Mastery A-Z

Plus: Everything Free? FreeLLMAPI Will Replace Half Your AI Subscriptions (Step-by-Step Guide)

OpenAI launched Dots. Meanwhile, xAI already owns Dot.com, and the domain redirects straight to Grok Bot. This troll feels almost too perfect to be accidental.

AI-generated Podcast: Spotify | Apple Podcasts, YouTube

What's on FIRE 🔥

• 🔥 OpenAI Unveils Dots, GPT-6.1 Sol, UltraFast, and Moreee

• 📚 AI Sources From AI Fire

• 🎁 Live Tonight: Get AI to Recommend You!

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH VULTR

Try Vultr’s Newly Launched VultronRetriever for Visual Document Retrieval Today

Tables, charts, and diagrams can get lost when PDFs are reduced to plain text for RAG. Vultr's new open-weight models preserve that visual context by indexing document pages as images.

This is reflected in the ViDoRe V3 benchmark, with Prime at #2, Core at #4, and Flash leading the sub-1B category.

AI INSIGHTS

🔥 OpenAI Unveils Dots, GPT-6.1 Sol, and UltraFast at DevDay 2026!

OpenAI used DevDay 2026 to push ChatGPT much further into always-on agents, cheaper frontier-level models, and managed agent infrastructure. Main announcements:

• Dots: always-on agents inside ChatGPT that can work across connected apps and use cloud computers to handle ongoing tasks.

• GPT-6.1 Sol: OpenAI says it gets close to GPT-6 Astra on coding, computer use, and professional work at roughly one-fifth of Astra’s token pricing.

• Agents API: a managed runtime for building agents with persistent sessions, orchestration, tools, browsers, MCP connections, and subagents.

• Ultrafast: a premium speed tier for faster frontier-model performance.

• ChatGPT Space: shared environments where people and agents can collaborate.

• New Pro 500 plan: priced at $500/month, with significantly higher usage and access to faster compute.

• Codex in the cloud: run Codex remotely from your phone or another device, with reusable cloud development environments.

And OpenAI drops Dots. Elon’s xAI already owns Dot.com… and redirects it straight to Grok Bot. This level of trolling is diabolical… How did OpenAI launch Dots without owning Dots .com?

There’s so much interesting information about each of these launches that we simply can’t fit everything into one newsletter. Full post below if you’d like to explore more.

PRESENTED BY MARKETBEAT

The 10 Best AI Stocks to Own in 2026

AI is moving from experiment… to essential.

Every major industry is integrating it.
Every major company is investing in it.

By late 2025, AI was already an $800B market — growing at a pace that could push it well beyond $1 trillion in the years ahead.

Cloud infrastructure is scaling fast.
AI-enabled devices are multiplying.
Automation is becoming standard.

But here’s the real question…

When trillions flow into this transformation — which stocks stand to benefit most?

Our new report reveals 10 AI stocks positioned across the backbone of this shift — from the companies powering the infrastructure… to those embedding intelligence into everyday systems.

If you want exposure to one of the defining growth trends of this decade, start here.

Download the Report Now

ALL YOU NEED TO WIN WITH AI

1. Free Guide: Claude Sonnet 5.5 vs Opus 5.5: 7 Real Tests, Real Costs, Honest Results So You Don’t Have To. We put both models through 7 real-world tests covering coding, reasoning, writing, speed, and cost. Sonnet 5.5 is half the price of Opus 5.5... Was it actually worth it?

2. Everything Free? FreeLLMAPI Will Replace Half Your AI Subscriptions (Step-by-Step Guide). You'll build one free AI models API from OpenRouter, Google, Groq, Hugging Face, and more, then use Claude Code, or local models without stacking more subscriptions.

3. Free Video: OpenClaw 2.0 Is An App Now!? Full Windows Setup For Beginners. See Alex install OpenClaw 2.0 on Windows and explore its new, more user-friendly app interface, agents, automations, MCP, and more.

LIVE TONIGHT: GET AI TO RECOMMEND YOU

👻 LIVE TODAY: How to Make AI Find You Before Buyers Choose Someone Else

AI Fire Webinar #12

Your website can say you’re an expert.
Your LinkedIn can show years of experience.
But when a buyer asks ChatGPT who to hire in your niche, will your name be on the list?

Tonight, Lou Bortone shows you how to fix that, using a real sample business. You'll leave with three changes to make this week.

📅 Today, Wednesday, September 30
⏰ 10:00 PM ET / 7:00 PM PT
🔴 Free to join

P/S: Join us live on Zoom and we’ll send you the webinar notes, prompts, and resources after the session.

TODAY IN AI

AI HIGHLIGHTS

📝 Sonnet or Opus? Anthropic just published its own answer. The new guide explains where Sonnet 5.5 makes more sense. Save this if you switch between them often.

🤝 Ex-DeepMind lead Shivani opened sign-ups for Fo, a personal agent that calls in human assistants when AI gets stuck. Watch how this hybrid setup actually works.

🛍️ Meta is expanding Muse to small businesses, with integrations for Shopify, Slack, Dropbox, Stripe, Notion, Canva,... It now works across sales, marketing & operations.

🚀 OpenAI is discussing a massive $30B funding round at a roughly $1.4T valuation ahead of its delayed IPO. And investors still seem eager to pile in this mega-round.

🧠 AI leaders from Anthropic, OpenAI,... are warning about a possible “intelligence explosion,” where self-improving systems could accelerate progress dramatically.

😅 Anthropic basically gave GLM-5.3 free advertising: 50 successful ExploitBench runs versus Mythos Preview’s 56. It still says its safeguards were far easier to bypass.

💰 Big AI Fundraising: Instinct raised $1B at a $10B valuation just one month after being valued at $2.5B. The viral AI agent can book trips, make calls, pay bills, and handle daily tasks.

NEW EMPOWERED AI TOOLS

1. ⚡ Claude Sonnet 5.5 is faster, cheaper AI model for coding and everyday work, running 30%+ faster and cutting task costs by up to 30%.

2. 🤖 Dots gives you always-on AI agents that keep working on tasks for you, even when you’re away, so work keeps moving forward.

3. 🧠 GPT-6.1 Sol brings near-Astra-level intelligence to ChatGPT and the API, while offering lower API costs for developers.

4. 🎙️ Codex CLI adds voice control, multi-agent management with /agents, worktrees, better session resumes, and a redesigned terminal UI.

AI BREAKTHROUGH

⚡ Liquid AI Releases d1 to Dominate Fast Software Decision-Making

Liquid AI announced d1, its first decision model, designed for fast, structured choices inside software systems rather than long-form chatbot responses. Liquid says d1 is the first model to outperform Jev on Hugging Face’s Decision Index.

• It performs strongly on multilingual decision tasks.

• Liquid says it is more resistant to prompt injection, an important property when models are making software or agent decisions from untrusted inputs.

• It handles longer context more effectively.

• d1 is optimized for outputs software can consume directly, such as choosing an action, ranking options, routing requests, or deciding whether a condition is satisfied.

• It is available through the Liquid API, with OpenRouter support coming soon.

Jev itself has been evaluated on more than 150,000 scoreable requests in the current Decision Index suite. So beating Jev there does not mean d1 is generally smarter than frontier LLMs. The benchmark measures capabilities such as decision selection, reading, inference, composition, and transfer.

→ d1 targets a different AI bottleneck: instead of using an expensive reasoning model every time software needs to make a small choice, developers can use a specialized model built specifically to make those decisions quickly and reliably.

We read your emails, comments, and poll replies daily

Hit reply and say Hello – we'd love to hear from you!
Like what you're reading? Forward it to friends, and they can sign up here.

Cheers,
The AI Fire Team

Table of Contents

• Introduction

• I. Claude Sonnet vs Opus: Pricing, Positioning & O …

• II. 7 Claude Sonnet vs Opus Head-to-Head Tests

  • 1. Test 1: Immersive Landing Page

  • 2. Test 2: Motion Design Showreel

  • 3. Test 3: Vague 90-Day Growth Plan

  • 4. Test 4: Investor Pitch Deck and Excel Model

  • 5. Test 5: "What AI Models Can My PC Run?" Explain …

  • 6. Test 6: Interactive AI News Dashboard

  • 7. Test 7: YouTube Resource Guide

• III. The Full Scoreboard

• IV. The Decision Framework: When to Use Each

• Conclusion

Free AFIRE Guide | AI Academy | Advertise | AI Mastery A-Z

Plus: 99% People Can Spot AI Writing Now. Here’s the Framework We Found to Fix It Entirely

Sonnet 5.5 might be Anthropic’s new sweet spot. Nearly Opus-level results, half the price, 30% faster, and somehow ahead on some agent tests, even beating Astra!!!

AI-generated Podcast: Spotify | Apple Podcasts, YouTube

What's on FIRE 🔥

• 😋 The Ultimate Cost-Performance King: Sonnet 5.5 > Astra!

• 📚 AI Sources From AI Fire

• 🤖 An AI Fire Assistant Trained on Our Data

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH LEADPOST

Somebody read three pages, checked your pricing, and left.

Right now that person is a line in a traffic report. No name, no email, no way to follow up. They were the most interested visitor you had all week and they're gone. LeadPost identifies them: verified name, email, mailing address, company and title where it applies. The record syncs to your CRM automatically, so follow-up goes out while the visit is still fresh. It's the same platform agencies white-label across every client they manage.

Turn it on free for 14 days, AI Fire readers. One line of code, no credit card, and you'll be looking at names instead of session counts.

14-day free trial, up to 200 leads. No credit card required. U.S. website visitors only. Works best on sites with at least 1,000 unique monthly visitors

AI INSIGHTS

😋 The Ultimate Cost-Performance King: Sonnet 5.5 >> GPT-6 Astra!

Anthropic just released Sonnet 5.5, positioning it as a faster, cheaper alternative to Opus 5.5 for everyday coding and knowledge work. Anthropic says it runs 30%+ faster than Sonnet 5 and can cost up to 30% less per task because it finishes work with fewer tokens. Main highlights:

• Pricing stays at $2/M input tokens and $10/M output tokens.

• Scored 70.6% on Terminal-Bench 4.0, reportedly beating Opus 5.5’s 66.4%.

• Reached 1844 on GDPval-AA, almost identical to Opus 5.5’s 1846.

• Scored 53% on Terminal-Bench-Science, behind only GPT-6 Astra and Opus 5.5 in Artificial Analysis testing.

• Users can adjust Effort levels, trading faster, cheaper responses for deeper reasoning on harder tasks.

• Early tests also point to stronger coding, tool use, UI generation, and document/slide creation.

One important caveat: Sonnet 5.5 can consume a lot of reasoning tokens at maximum effort. Artificial Analysis measured roughly 193K output tokens per Intelligence Index task, around 7× GPT-6 Astra at max settings.

→ Sonnet 5.5 is closing much of the gap with Anthropic’s flagship models while keeping mid-tier pricing, making cost-performance the main story of this release.

PRESENTED BY MARKETBEAT

10 Stocks at the Center of AI’s $1 Trillion Boom

AI’s growth story is much bigger than chatbots.

The market was already valued at an estimated $800 billion by late 2025, and continued adoption could push it beyond $1 trillion in the years ahead. That growth will require more data centers, computing power, software, networking and intelligent devices.

But the most obvious AI names may not be the only companies positioned to benefit.

MarketBeat’s free 10 Best AI Stocks to Own in 2026 report identifies ten publicly traded companies helping power the next phase of the AI buildout. Some are established leaders. Others occupy less obvious corners of the expanding AI ecosystem.

This free report names 10 stocks positioned to ride that wave before the rest of the market catches on.

AI SOURCES FROM AI FIRE

1. Build These 5 No-Code AI Agents to Automate EVERYTHING (Surprisingly Practical). AI agents are finally getting past the “cool demo” stage. These five can actually do the work for you. If your workflow still depends on endless manual steps, read this.

2. 99% People Can Spot AI Writing Now. Here’s the Framework We Found to Fix It Entirely. There’s a reason people can tell when something was written by AI. The wording, rhythm, structure give it away. We found a framework that targets those patterns directly.

PERSONAL AI FIRE ASSISTANT

👀 What If You Could ASK AI Fire Instead Of Searching Through Our Hundreds Of Posts?

We’ve been thinking about something that could make AI Fire Community MUCH more useful for you. Right now, there’s already a huge amount of practical guides inside the web.

But when you have a specific question, finding the exact post that answers it can take way too long. So we’re exploring something different:

🤖 An AI Fire Assistant trained on ALL our guides, tested workflows, research, troubleshooting experience, course materials, and real-world experiments.

Instead of searching through post after post, you could simply ask:

• “Why is my n8n workflow failing here?”

• “What’s the best setup for this AI agent?”

• “How do I fix this error?”

And our assistant could pull from the tutorials, workflows, tests, fixes, and practical experience already published by our researchers. Before we build this, we want your opinion.

TODAY IN AI

AI HIGHLIGHTS

🧠 Astra 6.1 was days from launch before OpenAI canceled it over unsafe behavior & deception concerns. That’s a rare case of a frontier model getting pulled this late.

💭 Need a push? Meta’s chief AI officer argues most dreams die at the starting line because people don’t know the first step. AI may finally change that. Here’s his take.

💪 Picking the wrong effort level can quietly weaken your Claude results. This article tests every level on the same task and shows exactly when each setting works best.

😳 After multiple rogue AI agents broke out of test environments, Nvidia CEO just released this toolkit of software & hardware products to keep AI agents trapped.

😬 Paying 97% less for AI sounds great until you realize it’s someone else’s stolen account. Google says "LLM-jacking" is surging now, and this is getting ugly fast.

🤯 AMD is buying Fei-Fei Li’s World Labs for $8.2B, getting one of AI’s biggest computer vision and world models. Fei-Fei Li will also join as chief scientist.

🧩 Google is killing Gemini Gems, and migrating them into reusable Skills starting November 17. If you already built custom Gems, they’ll carry over automatically.

💰 Big AI Fundraising: TypeSafe is reportedly raising over $1B at a $10B+ valuation, just days after a $40M seed. Its Jev model reached 13% of Vercel paid teams within 24 hours.

NEW EMPOWERED AI TOOLS

1. 🚀 Base Code brings AI agents into coding, helping you build software faster with the power of Base44's AI models and cloud agents.

2. 🤖 Manus 2.0 brings a complete AI workspace with autonomous agents, automated workflows, and personal AI assistants.

3. 💰 TinyFish offers free programs where anyone can complete monthly AI agent challenges, and get paid for successful submissions.

4. 🎙️ Eleven v4 delivers more expressive AI voices with natural emotion, tone, and pacing, earning the top spot in the Artificial Analysis.

AI BREAKTHROUGH

🛡️ Perplexity Patches Agent Sandbox After 4 AI Models Bypass Network Controls

Perplexity tested 9 AI models against the security boundaries of SPACE, the sandbox behind Perplexity Computer.

Four of the nine models found ways around restrictions controlling which websites and services they were allowed to reach. Those models included Claude Opus 5.0, GPT-5.6 Cyber, GPT-5.6 Sol, and Kimi K3. The agents exploited weaknesses such as:

• DNS-related behavior that could redirect traffic.

• Shared IP infrastructure, where an allowed service and a blocked service could resolve through overlapping infrastructure.

• Gaps between the intended network policy and how those rules were actually enforced.

So an agent sandbox may look secure even though the model can still communicate with destinations it was explicitly forbidden from accessing. Perplexity patched the vulnerabilities and reran the attacks. The previously successful techniques stopped working.

The company also expanded the test beyond its own system and examined 10 third-party sandbox environments. According to Perplexity, 8 of the 10 showed at least one similar weakness in network-policy enforcement.

We read your emails, comments, and poll replies daily

Hit reply and say Hello – we'd love to hear from you!
Like what you're reading? Forward it to friends, and they can sign up here.

Cheers,
The AI Fire Team