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Plus: I Found a Way to Give Fable 5 Almost Infinite Memory. Smartest AI Second Brain I’ve Seen. Fable 5 alone is smart, but with Karpathy’s LLM Wiki, it becomes unstoppable.

ThursdAI is absolutely packed, again. GPT-5.6 Sol, Luna, Terra, Meta Muse Park, and more all landed at once. I’m still catching up, so here’s the fastest breakdown for you.

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What's on FIRE 🔥

• 🚀 GPT-5.6 is Officially Here: New Sol, Terra, Luna Models

• 🧠 Give Fable 5 Almost Infinite Memory!?

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH MODA

Moda is the AI design agent with taste

Moda's viral launch hit 4.4 million views in two days. Tens of thousands of professionals signed up. Startups, agencies, forward-thinking brands and top firms are now using Moda to create brand-aligned slides, ad creative, reports, social carousels and more.

Most AI tools tend to create what we call "AI slop": repetitions of the same colors, layouts and fonts. And when you try to fix it, you get stuck in a loop of re-prompting.

Moda is different. Drop in your website URL, and Moda learns your brand from the ground up: your colors, your fonts, your visual language. Then it helps you generate pro-quality slides, docs, and marketing assets. 

The best part? Every layer is fully editable on a real canvas, and exports to powerpoint, PDF and more.

Try Moda Free Today

AI INSIGHTS

🚀 GPT-5.6 is Officially Here: Inside New Sol, Terra, and Luna Models

OpenAI fully released its GPT-5.6 model family to the public after a short limited preview to clear some U.S. government security checks. They’re ditching the usual number system and breaking the lineup into 3 distinct tiers: Sol, Terra, and Luna.

• Sol: This is for complex coding and cybersecurity. It introduces a "max reasoning effort" dial and an "ultra mode" that actually farms work out to sub-agents. It’s built for heavy, end-to-end technical execution.

• Terra: This is the middle-tier model for everyday work. It delivers the exact same performance as the older GPT-5.5, but it is twice as cheap.

• Luna: The fastest and lowest-cost model of the group. It is designed for quick, high-volume tasks where speed and budget are the main priority.

OpenAI packed these models with their strongest safety features to date, spending weeks testing them against real-world cyber threats before release.

You will start seeing Sol automatically handle your heavy reasoning and complex tasks. Terra and Luna are available through the API, Codex, and ChatGPT Work, but they aren’t selectable in normal ChatGPT chats.

Meanwhile, GPT-5.5 Instant will stay on duty as the default for quick, everyday questions. According to early reviews from testers, users are starting to step into the role of managing automated AI loops.

🎁 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.

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Want to get the most out of ChatGPT?

ChatGPT is a superpower if you know how to use it correctly.

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Download the free guide.

FABLE 5’S INFINITE MEMORY?

🧠 I Found a Way to Give Fable 5 Almost Infinite Memory. Smartest AI Second Brain I’ve Seen

Andrej Karpathy, OpenAI co-founder, former Tesla AI director, and a member of Anthropic's pre-training team, published a GitHub Gist called llm-wiki.md. It went viral almost immediately.

The thing is, it's not code or a product. It's a pattern, a single markdown file designed to be copy-pasted into an Fable 5 or Codex, which then builds the actual system for you based on your specific needs.

In this guide, I’ll show you how to build an AI second brain with Claude Code, and Karpathy’s LLM Wiki system step by step, then show you why Fable 5 becomes so powerful once your data is routed the right way.

TODAY IN AI

AI HIGHLIGHTS

📅 Claude now has a Reflect feature, which recaps your monthly interactions with a personal summary. The beta rollout is available gradually. Follow this to create yours.

🚀 ChatGPT Work arrived as a new AI Agent, powered by Codex & GPT-5.6. It can take action across your apps and files, and turn a goal into finished work. See 6 use cases.

💸 AI/ML API gave Sol, Terra, Fable 5, Opus 4.8 the same 3 prompts (link test). The outputs looked surprisingly close, but Fable 5’s bill made the comparison awkward.

⚔️ "We've reset 5-hour rate limits for all users." Perfect moment. Instead of rushing to test GPT-5.6, users can play with Fable 5 again. Anthropic knew what it was doing.

🌐 OpenAI is shutting down Atlas after less than a year. Instead, it’s turning ChatGPT into a browser layer across Chrome, cloud agents that can complete tasks for users.

🤝 Elon Musk just admitted he was wrong about Anthropic and called Mythos/Fable the best model available. Friendly praise, or smart business? Here’s his direct reply.

👀 Microsoft breakup rumors were everywhere this week. Then OpenAI announced GPT 5.6 as the preferred model for Microsoft 365 Copilot. Does that settle the debate?

💰 Big AI Fundraising: Prime Intellect just raised $130M Series A to build an open superintelligence stack. It says over 6,000 customers already use its RL infrastructure, with annualized revenue surpassing $100M.

NEW EMPOWERED AI TOOLS

1. 🎙️ Timbal AI builds fast, natural AI voice agents that can listen, reason, and respond in real time with surprisingly human conversations.

2. 🛠️ Auriko helps you turn ideas into working apps using AI, making it easy to build, test, and launch projects much faster.

3. 📊 Toyo creates polished presentations, documents, and visual content from simple prompts, saving hours of design and formatting work.

4. 🛡️ PerfAI scans AI-generated apps for security risks, catches vulnerabilities early, and helps you ship safer software with confidence.

AI BREAKTHROUGH

⚡ Meta’s Muse Spark 1.1 Coding Agent Broke Zuck’s Silence

Meta just dropped Muse Spark 1.1, and benchmarks put it beside GPT-5.5 and Opus 4.8. It’s such a major release for the company that Mark Zuckerberg actually logged into X to post about it for the first time since 2023.

• Spark 1.1 focuses on multi-step reasoning. It’s built to handle complex processes, orchestrate digital workflows, and deploy new system features.

• Meta is charging $1.25 per million input tokens and $4.25 per million output tokens. This puts it in the exact same competitive bracket as Claude Haiku 4.5 and GPT-5.6 Luna.

• The model is highly optimized for large agentic workloads. If a team needs to fix bugs, orchestrate tasks across different external apps, or run massive code migrations, Spark is built for that exact job.

Even though Meta is entering this specific market a bit late, the aggressive pricing and focus on enterprise automation make it a serious competitor. In his rare post, Zuckerberg called Spark "a strong agentic and coding model at a very low price.” 

This launch wraps up a massive week for AI updates. Between Meta launching their Muse Image model, the new Grok update from SpaceXAI, and OpenAI dropping the GPT-5.6 family, the landscape is moving incredibly fast.

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Table of Contents

• Introduction

• I. Setting Up Codex and Building the First Version

  • Step 1: Create a New Project in Codex

  • Step 2: Add Your OpenAI API Key

  • Step 3: Write the First Big Prompt

  • Step 4: Let Codex Build the First App

• II. Test the First Version and Fix What Breaks

• III. Add Automatic Computer Use Mode

• IV. Build a Voice-Controlled Thumbnail Generator

  • Step 1: Create a Numbered Image Grid

  • Step 2: Edit Thumbnails by Voice

  • Step 3: Combine Tools in One Session

• Conclusion

Table of Contents

• Introduction

• I. What An LLM Wiki Actually Is ?

• II. How to Build Your AI Second Brain

  • Step 1: Install Obsidian and Create a Vault

  • Step 2: Open the Vault in Claude Code

  • Step 3: Give Claude Code the LLM Wiki Instructions

  • Step 4: Add Your First Sources

• III. How the System Works Under the Hood

• IV. What Fable 5 Can Do Next

  • Case 1: Find Connections Across Sources

  • Case 2: Turn the Wiki Into a Beginner-Friendly HTM …

• Conclusion

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

Plus: Stop Using Fable 5 for Everything. Here's What Anthropic Actually Recommends to keep 90%+ of Fable 5's performance at less than half the price.

Looks like GPT-5.6 day is finally here. Sol, Terra, and Luna are all expected to launch today, OpenAI could be introducing multiple new model variants at once. Stay tuned!

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What's on FIRE 🔥

• 🚀 SpaceXAI Releases Grok 4.5 as an Opus-Class Model

• 📚 AI Sources From AI Fire

• 💡 Anthropic's Fable 5 Cost-Cutting Agent Trick

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH SECTION

The AI Leadership Summit – July 23 | Free Virtual Summit

The companies who win will make bold decisions, rethinking roles, reallocating work, and scaling intelligence.

On 7/23, Section is bringing in top executives from early Al supercompanies like Cloudflare and IgniteTech, to share strategies, insights, and mandates for building an Al-native company.

AI INSIGHTS

🚀 SpaceXAI Releases Grok 4.5 as an Opus-Class Model

Interactive Solar System Created by Grok 4.5

Elon Musk’s SpaceXAI (xAI’s new name) officially rolled out Grok 4.5. Built from scratch on a brand new foundation, this model is laser-focused on coding, complex problem-solving, and everyday knowledge work.

• Because SpaceXAI recently acquired the Cursor for $60 billion, they trained Grok 4.5 right alongside it.

• It costs just $2 per million input tokens and $6 for output. That makes it significantly cheaper than top-tier rivals like Fable 5 or GPT-5.5 (which charge up to $30-$50 for output).

• It uses less. On some major coding tests, it uses about 4 times fewer output tokens than competing models to get the exact same job done.

Right now, Grok 4.5 is targeting the absolute sweet spot of the AI market. When you look at the benchmark tests, it performs right alongside the industry leaders in coding and agent tasks. The cost difference is so huge that the small gap in performance simply won't matter for most users.

It is already live on Grok Build, integrated directly into Cursor, and even available as a plugin for everyday tools like Microsoft Word, Excel, and PowerPoint. High-end AI is officially getting affordable.

PRESENTED BY HUBSPOT

Want to get the most out of ChatGPT?

ChatGPT is a superpower if you know how to use it correctly.

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Learn to automate tasks, enhance decision-making, and foster innovation with the power of AI.

Download the free guide.

AI SOURCES FROM AI FIRE

1. Stop Using Fable 5 for Everything. Here's What Anthropic Actually Recommends. They showed exactly how to keep 90%+ of Fable 5's performance at less than half the price. 2 patterns to know: Advisor & Orchestrator pattern.

2. Codex vs Claude Cowork: We Tested & Compared Every Feature So You Don’t Have To. We break down this for everyday users so you can see which one fits your workflow best without trial and error. This is a super detailed comparison.

3. 4 Best & Must-Try Use Cases to Use Claude Fable 5 NOW Before Free Window Closes! Fable 5 usage is limited, so small prompts waste value. Learn 4 better ways to clone tools, review Claude Code, and build software fast this week.

FABLE 5 COST-CUTTING AGENT TRICK

💡 Anthropic's Agent Trick: Get Fable 5’s Performance at Half the Cost

Running everything through Fable 5 is incredibly capable but it gets expensive fast. So Anthropic just shared 2 clever routing patterns that let you achieve near-Fable quality without paying the premium price tag.

• Pattern 1: Fable as the Advisor. In this setup, Sonnet 5 model handles all the heavy lifting. It only calls on Fable 5 once per task when it needs specific, high-level guidance → You get 92% of Fable's performance on coding benchmarks at just 63% of the cost.

• Pattern 2: Fable as the Orchestrator. Here, Fable acts like a project manager. It plans out the main task and chops it into smaller pieces. Then, Sonnet 5 workers step in to execute each piece so the bulk of your tokens are billed at the cheaper rate → This hit an impressive 96% of Fable's performance at only 46% of the price.

Setting this up is straightforward, you just pin your chosen models in the subagent definitions using the model field inside Claude Code. If it still feels hard to set up, READ THIS GUIDE TO APPLY.

TODAY IN AI

AI HIGHLIGHTS

🔥 If you keep reading AI news but still feel behind, AI Fire Academy is built for that gap: 9 courses, 500+ practical AI guides in one place. Start with a 14-day free trial.

🎁 Anthropic is giving eligible maintainers free Claude Max 20x for 6 months, which runs $200/month, worth $1,200. If you run a big open-source project, apply here.

🛡️ Google’s SynthID detector just helped debunk a viral fake hospital photo of Mitch McConnell after the invisible AI watermark was detected. Here’s that viral AI image.

👀 Powerful Seedream 5.0 Pro is finally live! Better text rendering, cleaner structure, realistic portraits, and multilingual generation are now in the mix. Try using it here.

📊 ChatGPT for PowerPoint is now generally available for all plans. You can draft, polish, summarize slides directly from ChatGPT. Install ChatGPT for PowerPoint.

✨ Google Photos just added Video Remix, using Gemini Omni to relight dark clips, swap backgrounds, and apply styles like watercolor or oil painting in a few taps.

🇨🇳 China is reportedly weighing foreign-use limits for top AI models from Alibaba, ByteDance, and Zhipu AI. Cheap global access to Qwen or GLM-5.2 may not last?

💰 Big AI Fundraising: Lovable is reportedly raising $300M at a $13.2B valuation, doubling its December value. With $500M in annualized revenue, it is becoming one of AI’s hottest growth stories.

🚀 Your AI Content is Producing More Noise. This Playbook Shows You How to Fix It

You published dozens of posts last quarter. Your CEO asked what they drove. Silence. Sound familiar?

This free playbook breaks down the 5 AI content mistakes that kill social strategies, and gives you the tools to fix them before your next post goes live.

NEW EMPOWERED AI TOOLS

1. 🚀 ExploreYC gives developers open-source access to data from 6,600+ Y Combinator and a16z startups through one simple API.

2. 📝 IvyForms helps WordPress users automate real workflows with drag-and-drop creation, conditional logic, and seamless integrations.

3. 🎙️ Willow Frontier Pro delivers ultra-fast, highly accurate AI dictation, while Frontier Mini offers a free, lightweight model with unlimited use.

4. ✍️ Bono AI turns a 10-minute conversation into blogs, LinkedIn posts, newsletters, and more, all in your own voice.

AI BREAKTHROUGH

🎙️ GPT-Live: Natively Full-Duplex Voice Upgraded with GPT-5.5 Reasoning

OpenAI rolled out GPT-Live, a completely new architecture for ChatGPT Voice that finally makes talking to an AI feel like a normal human conversation. Instead of the old "you speak, it processes, it speaks" loop, GPT-Live uses a full-duplex system.

• Active Listening: GPT-Live will drop a casual "mhmm" or "got it" while you talk so you know it's actually paying attention. If you pause, it waits.

• For quick banter, GPT-Live handles it instantly. But if you ask a complex question (like doing an agentic web search), it hands the heavy lifting off to GPT-5.5. The best part? It keeps chatting with you smoothly while GPT-5.5 crunches the data in the background.

• While you are talking, ChatGPT can now instantly pop up rich visual cards on your screen for things like live weather forecasts, or nearby locations.

• It is much better at ignoring background noise and zeroing in on your voice. It also includes real-time safety guardrails, including built-in parental controls.

Free users will get the lighter "GPT-Live-1 mini," paid users (Plus, Pro, and Go) get the heavy-hitting "GPT-Live-1" as their default voice mode.

By letting the voice model handle the conversational flow while passing the hard logic to GPT-5.5 in the background, OpenAI has solved the latency issue that makes most voice assistants feel robotic.

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Hit reply and say Hello – we'd love to hear from you!
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Cheers,
The AI Fire Team

Table of Contents

• Introduction

• I. Why Fable 5 Gets Expensive Fast

• II. Pattern 1: Use Fable 5 as an Advisor

• III. Pattern 2: Use Fable 5 as an Orchestrator

• IV. How to Apply These 2 Patterns with Fable 5

• V. Which Pattern Should You Use?

• Conclusion

Table of Contents

• Introduction

• I. Access & App Layout

• II. Folders & Projects

• III. Connectors vs Plugins with Third-Party Tools

• IV. Scheduled Tasks & Automations

• V. File Creation & Editing

• VI. Design Capabilities

• VII. Quick-Fire Extras: Smaller Features

• VIII. Pricing

• Conclusion

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

Plus: How to Give Claude Perfect Memory That Remembers Everything Permanently (Full Guide)

Meta rolled out Muse Image with Instagram integration. If your account is public, others can generate AI images from your photos unless you disable the feature.

AI-generated Podcast: Spotify | Apple Podcasts, YouTube

What's on FIRE 🔥

• 🎨 Meta’s Agentic AI Leap: Muse Image & Muse Video

• 📚 AI Sources From AI Fire

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH HUBSPOT

Want to get the most out of ChatGPT?

ChatGPT is a superpower if you know how to use it correctly.

Discover how HubSpot's guide to AI can elevate both your productivity and creativity to get more things done.

Learn to automate tasks, enhance decision-making, and foster innovation with the power of AI.

Download the free guide

AI INSIGHTS

🎨 Meta’s Agentic AI Leap: Muse Image & Muse Video

Meta is officially rolling out Muse Image & teasing Muse Video. Built by the Meta Superintelligence Labs (MSL), Muse Image operates as a full-blown autonomous agent.

• Muse Image searches the web for factual accuracy, plans layouts, self-refines, it catches and fixes its own mistakes before showing you the final result.

• It can write and execute code to generate mathematically accurate data plots, working QR codes, animated GIFs, and even interactive visual games.

• The model is live right now on the Meta AI app, Instagram, and WhatsApp. You can even use an @mention to pull your friends' public Instagram photos into your generated images (Meta did include an opt-out setting for privacy).

• Meta also gave a sneak peek at Muse Video. It features native audio support and currently ranks No. 3 on Arena, though Meta openly noted they are still polishing audio-video sync and fast-motion physics.

Meta is pairing Muse Image with their existing Muse Spark LLM. Because the system can reason, you can ask it to build something complex and it will map the grid, handle the typography, and output clean, legible text.

It also scales with test-time compute, meaning the more time you let the model "think" during generation, the better the final image gets. All generated media is embedded with an invisible watermark.

PRESENTED BY MODA

Moda is the AI design agent with taste

Moda is an AI design product where you prompt what you need, get a complete on-brand design, and edit every element on a full canvas. 

Our viral launch hit 4.4M views in days, tens of thousands signed up, and executives at major finance and tech companies now use it.

Try Moda Free Today

AI SOURCES FROM AI FIRE

1. How to Give Claude Perfect Memory That Remembers Everything Permanently (Full Guide). Discover the multi-layer memory workflow that makes Claude dramatically more consistent, useful, and context-aware over time.

2. So You Learned Claude. Here’s How to Make Money With AI Next. Turn your Claude skills into real career with a simple roadmap: find business constraints, connect them to KPIs, build useful AI systems, and prove results without quitting your job.

3. 10 Minutes to Take Control of 90% of AI Video Workflows From Scratch (Google Flow + Claude AI). Quick hacks, workflow secrets, and time-saving strategies hidden in plain sight, ready to level up fast. Get a step-by-step guide to go from beginner to confident creator.

🧠 12 Free Open-Source AI Tools Most People Haven’t Seen, But Must Try Right Now

Open-source AI is moving so fast right now that some of the best tools are not hiding behind paid plans anymore. They are sitting on GitHub, free to try, with thousands of developers already testing, fixing, and building on top of them.

And honestly, some of these open-source AI tools feel way too powerful to be free.

I found 12 open-source AI project picks that are worth your time right now. Here’s the quick map:

Even if you only try one or two, you’ll probably find something that changes your workflow.

TODAY IN AI

AI HIGHLIGHTS

⏳ Claude Fable 5 will remain included in all paid plans until July 12! You’ve got 5 more days to test before access changes. Can we get a Fable 5 reset too? Anw, try it here.

📱 Claude Cowork is now available on web & mobile, it can keep working even when your laptop is closed. Anthropic also 2X Cowork usage limits through August 5.

⚽ Gemini Spark can now intelligently track topics & react to events in real time.
Try this prompt to get game analyses emailed to you after your favorite team plays.

😬 Meta now lets anyone use your Instagram photos in AI images, unless you opt out manually. Public accounts are included by default, and Meta won’t notify you.

⚠️ Discord’s AI moderation system misfired badly. Over 8,000 users were wrongly banned after harmless grid-like images triggered false harmful-content matches.

🚀 OpenAI is just days away from another big release. Tibo Sottiaux says GPT-5.6 Ultra is coming to Codex, with the full GPT-5.6 family expected to land this week.

🧩 DeepSeek is reportedly developing its own AI inference chip. This could reduce its reliance on Nvidia and Huawei hardware while pushing China’s AI chip race further.

💰 Big AI Fundraising: AI law startup Norm raised $120M in Series C, reaching a $1.2B valuation. The AI law startup runs Norm Law, where AI agents handle legal work under human attorney supervision.

🗯 The AI Sales Stack Your Competitors are Already Using.

New AI tools launch every week. Most aren't worth your time.

Sales Bytes tests them so you don't have to. Every Wednesday you get the best tools, prompts, and workflows for prospecting, outreach, and closing.

One free email. Five minutes. Stay ahead of the reps who aren't paying attention.

NEW EMPOWERED AI TOOLS

1. 🏅 Badge gives an AI agent that collects peer reviews to build proof of work. For job seekers, it builds for you a verified, portable trust score.

2. 📈 Scribble Network can audit where you're invisible across every AI, create content that closes the gap, amplify it through 50,000 creators.

3. 💼 Katalyst is the AI sales agent for teams on Salesforce. It runs 24/7, reading every call, email, surfacing the right signals, prompting you to act.

4. 🛍️ Dupely is the trust layer online shopping has been missing. It finds identical products for less, shows you who's actually credible.

AI BREAKTHROUGH

🎮 Kyutai Simulated a Playable Rocket League Inside a Neural Net

Kyutai & General Intuition teamed up with Epic Games to release MIRA, an open-source world model that generates a live, 2v2 game of Rocket League entirely inside a neural network.

• MIRA learned how to generate the game by watching 10,000 hours of footage of AI bots playing against each other. There is absolutely zero human gameplay or player data anywhere in the training mix.

• It successfully renders complex details like crashes and boost meters, keeping all 4 players' screens perfectly synced.

• When the game triggers a goal replay, the model hallucinates completely convincing footage of a goal that never actually happened.

• The entire game runs at 20 frames/second on a single Nvidia GPU. The teams have open-sourced the code, the training data, and a playable demo.

We are seeing a clear pattern emerge in the space, right on the heels of other models generating environments like multiplayer Goldeneye.

But as the companies involved point out, the end goal here is not to replace video games. The real mission is to build systems that can simulate the physical world, creating the synthetic data needed to train the next generation of robots.

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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.

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The AI Fire Team

Table of Contents

• Introduction

• I. AI-Powered Video & Media Creation

  • 1. Open Montage

  • 2. HyperFrames by HeyGen

  • 3. Palmier Pro

  • 4. Voicebox

• II. Agent Frameworks for Serious Work

  • 5. DeerFlow by ByteDance

  • 6. Hermes Agent

• III. Skills That Upgrade Your Coding Agent

  • 7. Anthropic Cybersecurity Skills

  • 8. Matt Pocock’s Skills

  • 9. G Stack By Garry Tan

• IV. Code Intelligence & Security Tooling

  • 10. Codebase Memory MCP

  • 11. Skill Specter By NVIDIA

• V. Open Models

  • 12. Baidu's Open-Weights Vision-Language Model

• Where to Start: Full Roadmap

• Conclusion

Table of Contents

• Introduction

• I. AI Skills That Are Bigger than Claude

• II. How to Become an AI Consultant With Claude Ski …

• III. Why This Window Won't Stay Open Forever

• IV. Roadmap: Constraint First, KPI Second, Build T …

  • Step 1: Audit Your Role

  • Step 2: Pick Your Project and Prove It Works

  • Step 3: Turn the Proof Into a Real Role

• Bonus: Real Case Studies: Proof Beats Credentials

• Conclusion

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

Plus: Build Your Ultimate Second Brain that Actually Works with Fable 5. Before It’s Too Late (Full Guide)

Claude may be doing more thinking than it shows. Anthropic found a hidden J-Space where ideas move silently before the final answer appears. Slightly wild, honestly.

AI-generated Podcast: Spotify | Apple Podcasts, YouTube

What's on FIRE 🔥

• 🔍 Anthropic Discovers a Claude's Hidden Workspace

• 📚 AI Sources From AI Fire

• 🧠 Build Your Second Brain that Works with Fable 5

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH SECTION

The AI Augmented Executive - July 31 | Free Virtual Event

The best leaders use AI daily to work faster and think bigger. But most executives still don't have a clear process to make that happen.

On 7/31, Section CEO Greg Shove will share exactly how he stays on top of AI and the use cases that make the biggest difference at the executive level.

AI INSIGHTS

🔍 Anthropic Discovers a Hidden Workspace for Silent AI Reasoning

Anthropic just identified a hidden internal workspace where Claude holds and manipulates ideas without actually putting them into words.

• Meet "J-Space", this is a separate internal area where Claude can plan strategies and compute concepts. This happens completely independent of the standard "chain of thought" reasoning it shares with users.

• Similar to how humans can think about one thing while doing another, Claude can multitask its focus. In one test, Claude was instructed to think about the Golden Gate Bridge while copying an entirely unrelated sentence. While it successfully copied the text, researchers could see its J-Space actively processing concepts like "bridge" and "California" in the background.

While Anthropic uses the word "conscious" over 200 times, the company stops short of claiming the model actually feels or experiences anything.

However, the findings do show a surprisingly human-like division between deliberate, active reasoning and the automatic computation running beneath the surface.

As AI systems become more complex, understanding not just what they are generating, but what they are quietly processing in the background, is going to be a critical piece of keeping these systems safe.

PRESENTED BY PODIUM

Summer's here. Larry handles calls, jobs, and memberships automatically.

Air Design used to spend hours every day manually calling their 600 members to schedule seasonal tune-ups.

They turned on Podium's AI Membership Coordinator. It contacted 471 members, booked 187 jobs, and generated $24,000 in revenue.

Across home services, the story repeats.

Magnolia Plumbing cut invoice-to-payment time to 6 minutes and saved 60 hours of admin work every month.

This is what Podium's AI Operating System does: phones answered, jobs booked, invoices collected — automatically, without adding headcount.

If your schedule isn't packed this summer, it can be.

See How It Works

AI SOURCES FROM AI FIRE

🔥 Ep 50 Tooldrop: A Library of Ready-Made Claude Skills for Paid Ads, Website Performance, Ecommerce, Revenue, and More.

Get your full breakdown here (Free, no hidden fee)! 5 AI tools that:

• Support high-quality video generation & conversational editing from text, image and video inputs.

• Give you autonomous AI Influencers that run your social media 24/7. Just drop your product link.

1. 4 Best & Must-Try Use Cases to Use Claude Fable 5 NOW Before Free Window Closes! Fable 5 usage is limited, so small prompts waste value. 4 better ways to clone tools, review Claude Code, debug code, and build software fast today.

2. Copy Claude Fable 5’s Working Style into Any AI Model: Step-by-Step Guide. Fable 5 may be gone, but its working style isn’t lost. Extract its decision-making, pacing, and tool use from your session logs and apply them to any AI model.

3. Video: How I Vibe-Coded A $20K Internal App With Claude Design + Codex. Learn step by step how to brainstorm an app idea, design a clean, clickable UI, and turn it into a working MVP - all without deep coding knowledge.

4. Have you truly grasped how AI agents work? We break down the basics of local & cloud AI agents, showing how tools like OpenClaw or Claude Cowork execute real, multi-step workflows while you focus on strategic decisions.

ASAP: BUILD YOUR SECOND FABLE BRAIN

🧠 Build Your Ultimate Second Brain that Actually Works with Fable 5. Before It’s Too Late (Full Guide)

Every insight, every organized idea, and every automated task can be captured before access disappears. Turn its hidden potential into your ultimate AI assistant.

Fable 5 was restored globally on July 1. As of July 7, today, the free 50% weekly usage window will end (in a few hours) → That is where a Fable 5 second brain starts to matter.

Don’t waste it on throwaway prompts when Fable 5 can build a second brain that keeps helping Claude Code later.

Once usage credits kick in, you’ll regret using this window for quick answers instead of giving Claude Code a system for your files, prompts, routines, memory, and skills.

→ In this guide, I’ll show you how to build one quickly inside Claude Code, starting with a clean structure, a simple INDEX.md, real retrieval tests, and a quick audit before you trust the system.

TODAY IN AI

AI HIGHLIGHTS

😬 Fable’s subscription return depends on capacity, according to Anthropic’s Thariq Shihipar. But with usage credits starting TODAY, I gotta say "use it ASAP, guys"!

👉 Or use this prompt to extract its best practices & working style into a reusable knowledge base, so cheaper models (Sonnet, Opus) can continue the workflow.

⚡ GPT-Realtime-2.1 is now live on OpenAI Playground & APIs. GPT-Realtime-2.1-mini also adds reasoning while keeping the same pricing as before. Where's Bidi? 😅

🎙️ Apple is letting early testers customize Siri’s pace and expressivity in the latest iOS 27 beta 3. You'll hear this voice in Siri, Maps and Safari. The sliders look like this.

🎒 Lenovo unveiled a $44 AI Student Phone built for kids. It has an AI homework button, strict classroom mode, and parental controls. Would you buy your kid this?

🚨 Microsoft just cut nearly 5,000 jobs, including 1,600 at Xbox. They say AI didn’t replace people directly, but yeah… that line feels harder to believe every month.

🏁 Tencent released Hy3, a 295B-parameter open model with 21B active params. It beat GLM-5.1 in some frontend benchmarks. More players are definitely catching up.

💰 Big AI Acquisition: Symbotic acquired firm ARMS, expanding from warehouse robots into AI operations software that coordinates workers, and real-time workflow fixes across complex warehouses.

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1. 🌟 Fetra AI is your complete AI growth team, managing social posts, SEO blogs & marketing videos to drive traffic, generate leads, and grow business 24/7. Built for founders, creators, and small businesses. Try Now.

2. 🔎 AnySearch powers AI agents with real-time, structured search, delivering filtered, deduplicated, and trusted data for reliable results.

3. ⌨️ Typeahead is private AI autocomplete for every app on your Mac, with writing styles per app, smarter context that adapts to how you work.

4. 📡 Octolens helps your AI agents track mentions across Reddit, Hacker News, podcasts, news, and more, all through one simple API.

AI BREAKTHROUGH

🛡️ Fighting Fire with Fire: Reddit is Using LLMs to Crush LLMs

To fix a problem largely accelerated by AI, Reddit is officially turning to AI to clean it up. While social platforms have used automated spam filters for years, Reddit recently deployed customized AI tools to handle this modern wave of junk content.

• The platform is currently blocking 23 million spam views and catching about 25,000 new spam posts and comments every single day.

• Reddit notes that these LLMs are specifically catching "highly subtle, coordinated patterns of fake behavior" and artificial hype that their older security systems were completely missing.

• From January to March, the company claims it successfully reduced overall user exposure to spam by 20% compared to the previous three months.

While YouTube, Meta, and Instagram are currently focusing on getting users to disclose AI-generated content, and TikTok is even testing toggles to let users control how much AI content they see, Reddit is directly deploying LLMs as a backend shield.

However, platform experts continue to emphasize one critical reality check: to actually be effective, this kind of automated moderation still has to be paired with human oversight.

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Table of Contents

• Introduction: The Broken Math of Modern Workflows

  • I. The 6-Part Anatomy of an AI Agent

  • II. Step-by-step OpenClaw Setup Workflow

  • III. Step-by-step Claude Cowork Integration Workflow

  • IV. Head-to-Head System Comparison

  • V. Common Security and System Mistakes

  • Conclusion

Table of Contents

• Introduction

• I. 4-Layer Structure: Apps, Routines, Memory, Skil …

  • Layer 1: Apps

  • Layer 2: Routines

  • Layer 3: Memory

  • Layer 4: Skills

• II. Fable 5 Second Brain Prompt (Start Here)

• III. Build the INDEX.md (Don't Jump to the Graph)

• IV. Things to Watch Out For (Don't Skip This)

• Conclusion

Table of Contents

• Introduction

• I. Before Using Fable 5: You Must Be Aware of This …

• II. Use Case 1: Clone Software You Already Pay For

• III. Use Case 2: Review Your Own Claude Code Sessi …

  • Step 1: Start with diagnosis only

  • Step 2: Sort the findings into action groups

• IV. Use Case 3: Full Codebase Review and Bug Hunt

• V. Use Case 4: Build Large Custom Software from a …

• VI. Workflow Pattern All 4 Use Cases Repeat

• Conclusion

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

Plus: The Exact Fable 5 Prompting Techniques Used by Anthropic. Copy It in Minutes

Meta reportedly ran a secret “Cannes” project where contractors posed as teens to stress-test rival AI models with disturbing prompts. ChatGPT, Gemini were targeted.

AI-generated Podcast: Spotify | Apple Podcasts, YouTube

What's on FIRE 🔥

• 🚨 Meta’s Secretly Posing as Teens

• 📚 AI Sources From AI Fire

• 🏆 Fable 5 Prompting Techniques Used by Anthropic

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH ELEVENLABS

The best voice models, now across all channels

Most CX platforms do not own the voice. They orchestrate a workflow, then call a third party for speech and transcription. Every hop adds latency, cost, and another vendor to manage.

ElevenAgents is the opposite. They make the voice models the market builds on, and ElevenAgents puts full orchestration on top. Voice, transcription, text-based chat, and reasoning run in one vertically integrated pipeline, so responses come back in <400 milliseconds and sound human, not synthetic.

Plus, you keep full control. Plug in any LLM, integrate tools, webhooks, and MCP servers, and ground responses in your knowledge base. Get an agent live in minutes, then A/B test with Experiments, enforce Guardrails, and version every change.

The payoff: more human conversations, lower latency, and far less time stitching infrastructure together. You build on the models you already trust. Pricing is transparent and flat at $0.08 per minute.

Start building free

AI INSIGHTS

🚨 Meta’s Secretly Posing as Teens to Break Competitor Guardrails

According to recent reports, Meta orchestrated a massive, covert operation where paid contractors posed as teenagers to bombard competitor AI models with highly disturbing prompts:

• Run by contractor Covalen, the operation used throwaway under-18 accounts to secretly test the safety guardrails of ChatGPT, Gemini,...

• Across tens of thousands of queries, contractors were instructed to push the models on severe topics like self-harm, eating disorders, illegal substances, and violence.

• Contractors reportedly felt "gobsmacked" and deeply unsettled by the text they were forced to generate, mirroring past controversies regarding the psychological toll on Meta's human content moderators.

Meta has defended the project, stating that safety benchmarking is an "industry-standard practice" designed to gather critical datasets for compliance.

However, it’s drawing heavy pushback from AI ethics experts. Because Meta kept the massive operation hidden from its competitors and hasn't shared its safety findings with the public, critics argue this falls into a "governance gray zone."

As companies race to build better guardrails, the line between necessary red-teaming and anticompetitive behavior is becoming increasingly blurred.

PRESENTED BY VIKTOR

Your whole marketing stack, answering in one Slack thread.

Meta in one tab, TikTok in another, Klaviyo and GA4 in two more. Viktor is an AI employee that pulls all of them into a single Slack thread. Ask for blended CAC, yesterday's flow revenue, or the campaign to cut, and get one answer instead of four logins.

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AI SOURCES FROM AI FIRE

1. For Free Claude Users: Copy Claude Fable 5’s Working Style into Any AI Model: Step-by-Step Guide. Extract its decision-making, pacing, and tool use from your session logs and apply them to any model.

2. Create Long Consistent AI Videos in Minutes: Step-by-Step with Fable 5 + Google Flow. Using Fable 5 with Google Flow, you’ll go from idea to finished film, with cinematic results and no wasted time, and wthout losing character consistency.

3. How I’d Do to Master AI From Zero in 2026 in Only 4 Steps. Skip ALL the Useless AI Stuff. Learn how to pick one tool, give it the right context, and build a system that gets smarter the more you use it each day.

FABLE 5 PROMPTING PLAYBOOK

🏆 The Exact Fable 5 Prompting Techniques Used by Anthropic. Copy It in Minutes

Quick context: Fable 5 just came back online after being pulled for nearly 3 weeks. So if you're jumping on it right now while the usage limits are generous, I get it.

But Fable 5 is expensive, and bad prompts waste money sooo fast at this price.

You're probably pulling half of what Fable 5 can really do. I always figured the engineers who built Fable 5 had some private playbook the rest of us never get to see.

So I went digging into how they actually prompt it. Most of what I found, 6 rules, you can copy into your next chat today.

TODAY IN AI

AI HIGHLIGHTS

🔎 End every AI session with these 2 questions. A Claude thread recommends 2 audit questions to catch weak assumptions, hidden risks, and incomplete framing.

💡 Devs found a cheaper way to feed Fable 5 large context: showing it pictures of text to pay fewer tokens, and let vision read it back. This hack is wild. Here's the skill.

🐱 LongCat-2.0 is now fully open-source under the MIT license. Meituan’s 1.6T MoE model works with Claude Code, OpenClaw, Hermes Agent. Open testing starts now.

📸 Meta is rolling out Dynamic Photo for Meta Glasses to more users. It captures additional frames around a photo, so you can pick the best shot after the moment.

🎓 Traditional school still works for many kids, but high-earner families are betting on something different: AI, business, public speaking, and life skills before high school.

🧵 Amazon is closing Mechanical Turk (tiny human tasks behind “automation”) to new customers on July 30, 2026. Existing users stay, but no new features are coming.

🛡️ Cognizant and OpenAI just launched a GPT-5.5 cyber-defense service to help validate the fixes. It aims to speed up remediation and strengthen cyber resilience.

💰 Big AI Paydays: Samsung’s AI boom sparked a $26B bonus deal for chip workers, with some staff promised around $400K. But the victory quickly split employees, as non-chip teams got far smaller payouts.

NEW EMPOWERED AI TOOLS

1. 📈 Agorapulse’s free playbook breaks down the 5 AI content mistakes that kill social strategies, and gives you the tools to fix them before your next post goes live. Get the playbook.

2. 💼 WorkBuddy is an AI agent built for everyday office work. Make a request. Guide your AI expert team. Get sharpened, ready-to-use results.

3. 📚 DocsAlot turns scattered help center articles, knowledge base, and developer docs into one source of truth for humans and AI agents.

4. 🧪 TryCase gives AI coding agents disposable environments to run apps, test changes, and return verified code instead of testing manually.

AI BREAKTHROUGH

⚡ NVIDIA's Nemotron is Generating Text 2.4x Faster Without Retraining

NVIDIA has introduced a new approach with the Nemotron-Labs-TwoTower, which uses a parallel block-based generation method to speed up the process while maintaining baseline quality.

• Speed: Achieves 2.42x faster generation compared to the original model

• Quality: Retains 98.7% of the original model's accuracy across benchmarks

• Hardware: Requires 2x 80GB H100 or A100 GPUs (approx. 59GB per GPU)

This method splits an existing 30B parameter model into 2 separate "towers”, like this:

1. Context Tower: This frozen tower reads the prompt and holds the conversation history. It provides the necessary context for the generation

2. Masked Tower: This tower handles the heavy lifting. Instead of asking "What is the next token?", it asks "Can I fill these 16 missing token slots at once?"

If the tower has low confidence in a guess, that slot stays masked; if confidence is high, the token is locked. The model refines these guesses until it's confident enough.

While it requires significant hardware overhead, the ability to reuse a pretrained backbone makes it a viable option for high-volume inference, long-form content generation, and AI agents where latency is the primary constraint.

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Table of Contents

• Introduction

• Why Fable 5 + Google Flow?

• Part 1: Build the Character Sheet First

  • Step 1: Write the Character Sheet Prompt in Fable …

  • Step 2: Generate the Character Sheet in Flow

  • Step 3: Write the First Frame Prompt in Fable 5

  • Step 4: Generate the First Frame in Flow

• Part 2: Generate the First Clip

  • Step 5: Build Reference Images for Any Additional …

  • Step 6: Write the First Clip Prompt in Fable 5

  • Step 7: Generate the Video in Flow

• Part 3: The Extension Method

  • Step 8: Write the Extend Prompt in Fable 5

  • Step 9: Extend in Flow

  • Note: Reusable Prompt Pattern

• Part 4: Editing and Repeating the Loop

  • Step 10: Join the Clips

  • Step 11: Repeat the Extend Loop

  • Step 12: Add New Elements to the Scene

• The Full AI Video Creation Loop, In One Place

• Conclusion

Table of Contents

• Introduction

• I. Rule 1: Add the "Why" Behind Every Task

• II. Rule 2: Tell Fable 5 What NOT to Do

• III. Rule 3: Let Fable 5 Act Once It Has Enough Co …

• IV. Rule 4: Match Effort Level to the Task

• V. Rule 5: Ask Fable 5 to Prove the Work Is Done

• VI. Rule 6: Never Ask for Its Hidden Reasoning

• VII. When Fable 5 Falls Back to Opus 4.8

• Final Fable 5 Prompting Playbook

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Plus: Claude Design 2.0 Just Became Unstoppable: From Zero to Polished Designs

Google says Britain’s AI adoption just doubled. But the real advantage may not come from using Gemini, ChatGPT, or Claude once in a while - it comes from turning AI into a weekly work habit that can change your career.

What's on FIRE 🔥

• 🇬🇧 Google Says Britain’s AI Adoption Just Doubled

• 📚 AI Sources From AI Fire

• 🔥 FIRE RECAP: BIGGEST AI NEWS THIS WEEK

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH BELAY

Accomplish More. Juggle Less.

When you love what you do, it can be easy to take on more — more tasks, more deadlines, more hours – but before you know it, you don’t have time to do what you loved in the beginning. Don’t just do more – do more of what you do best.

BELAY’s flexible staffing solutions leverage industry experience with AI systems to increase productivity without sacrificing quality. You can accomplish more and juggle less with our exceptional U.S.-based Virtual Assistants, Accounting Professionals, and Marketing Assistants. Learn how with our free ebook, Delegate to Elevate, and leave the more to BELAY.

AI INSIGHTS

🇬🇧 Google Says Britain’s AI Adoption Just Doubled

Google UK and Public First just released a new report on how fast AI is spreading across Britain.

The headline is big: 73% of the British workforce now uses AI, up from 34% last year.

But the real story is not just adoption. It’s the gap between people who “try AI” and people who actually use it well.

Google splits UK AI users into four groups:

• AI Spectators: 10% - Not using AI in daily life yet.

• AI Experimenters: 38% - Use AI for quick questions and simple drafts.

• AI Practitioners: 37% - Use AI more often for writing, research, and problem-solving.

• AI Trailblazers: 15% - Use AI for deeper work, automation, and agents.

The Trailblazers are where it gets interesting.

They save around 7.7 hours per week, and they are more likely to report:

• +84% higher chance of being promoted

• +55% higher chance of getting a pay rise

• +157% higher chance of feeling career progress

• +88% higher chance of getting a positive performance review

Google is also tying this to its bigger UK push: Gemini, Google DeepMind, Google Digital Garage, and its new AI Works for Britain training program.

The useful lesson here is simple: the advantage is not just having access to AI.

The advantage comes from building better habits: asking clearer questions, reusing workflows, using AI to critique your work, and applying it to repeated tasks.

AI adoption is now normal. The next race is who can use it with skill.

PRESENTED BY HUBSPOT

Want to get the most out of ChatGPT?

ChatGPT is a superpower if you know how to use it correctly.

Discover how HubSpot's guide to AI can elevate both your productivity and creativity to get more things done.

Learn to automate tasks, enhance decision-making, and foster innovation with the power of AI.

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AI SOURCES FROM AI FIRE

1. Boost Claude’s Responses: 5 Easy Tricks You Can Use With New Claude Sonnet 5. Learn how to stop using Claude like a search box and get sharper answers by letting it interview you, focus on one problem, rate confidence, use real numbers, and spot hidden patterns.

2. Step-by-Step Tutorial: Build a Self-Improving AI System With Claude Code. Use the B.U.I.L.D. framework to create a Claude Code setup that stores your knowledge, syncs new data, reviews improvements, and gets smarter every week without breaking quietly.

3. Claude Design 2.0 Just Became a Real AI Design Workflow. Create slides, prototypes, one-pagers, and early websites from a simple prompt, then edit on canvas, export your work, and hand it off to Claude Code when you’re ready to build.

FIRE RECAP: BIGGEST AI NEWS THIS WEEK

1. 🏛️ OpenAI may give the U.S. government a 5% stake. The idea reportedly came after pressure around GPT-5.6, turning frontier AI into a national infrastructure debate.

2. 🔥 Claude Fable 5 is coming back globally after the export-control shutdown. Anthropic says it returns with stronger cybersecurity safeguards and limited free access for paid users until July 7.

3. 🤖 Anthropic launched Claude Sonnet 5 as its new everyday agent model. It is now the default for Claude Free and Pro, with stronger coding, tool use, and workflow automation.

4. 🎨 Google is bringing personalized Gemini image generation to more users. Gemini can now use signals from Google Photos and connected apps to create images closer to your style.

5. 💧 Google’s 2026 Environmental Report turned AI scale into an energy and water story. The company says it replenished 7.7B gallons in 2025, but AI data centers are still raising pressure on power, water, and emissions.

TODAY IN AI

AI HIGHLIGHTS

🧬 Anthropic is moving beyond AI tools and wants to develop its own drugs. The company launched Claude Science and says it will focus on treatments for neglected diseases.

📈 ByteDance found a new scaling law for AI agents. Its researchers say agents can double their learning speed every 3 months by doing long real-world tasks.

⚠️ Parents are being warned not to post children’s photos publicly. The NCA and IWF say AI-generated child abuse images are rising fast, with over 8,000 cases found in 2025.

⚛️ Nuclear startup Ampera revealed a 3D-printed thorium reactor module built for AI data centers. Big promise: factory-built nuclear power in a container-style system.

🧮 Mistral launched Leanstral 1.5, an open-source model for formal math and code verification. It solved 587/672 PutnamBench problems and found 5 unknown bugs in real repos.

💰 AI Investments: Microsoft launched Microsoft Frontier Company with a $2.5B investment, creating a 6,000-person AI engineering team for enterprise customers. The unit will help companies deploy AI at scale using OpenAI, Anthropic, Microsoft AI, and open-source models while keeping their data and IP protected.

NEW EMPOWERED AI TOOLS

1. 💰 Fundraisly helps founders book 10-50 qualified investor meetings by matching them with 300K+ investors based on stage, market, geography, and warm paths.

2. 🐟 Goldfish remembers your work across your Mac, then helps draft replies, summarize threads, rewrite text, and recall context from any app.

3. 📬 Upstream is an AI inbox where agents sort messages, draft replies, and handle email busywork behind the scenes.

4. ✅ Bond is an AI Chief of Staff that turns scattered tasks into a self-managing to-do list, helping with meetings, follow-ups, blockers, and delegation.

AI BREAKTHROUGH

⚒ Bigger AI Models Learn More: Secret of Rare-Task Retention

If you've been wondering why scaling up a model's size suddenly unlocks obscure, rare abilities that smaller models completely miss, a new joint paper from Stanford, MIT, Harvard, and Anthropic just mapped out exactly how it happens:

• Larger models have the physical space to protect weak learning signals. They can retain rare skills because they don't have to overwrite them to make room for more common data.

• A smaller model might actually pick up a rare signal briefly. However, because space is limited, the very next wave of common-task updates overwrites that rare skill before it appears often enough to become stable knowledge.

• Testing this on OLMo language models scaling from 4M to 4B parameters, the data showed that larger models experience much less gradient interference.

The researchers highlight that the core issue is the training dynamics itself. When common tasks constantly push on the same limited pool of parameters, the rare data simply gets bullied out of the model's memory.

That extra neural real estate allows larger models to hold onto weak, low-frequency signals long enough for the training run to cement them into actual, permanently learned skills.

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Plus: I Turn Claude into the Ultimate PhD-level Research Team (Stanford’s STORM Method)

What if history stopped being something you read and became something you could question? Google’s new Colonial Williamsburg AI hub shows one side of that future, and Bridgewater’s custom Qwen3 model shows the other.

What's on FIRE 🔥

• 🏛️ Google Turns Colonial Williamsburg Into an AI History Hub

• 📚 AI Sources From AI Fire

• ⭐ Today's AI Highlights

• 🧾 Hot Papers of the Week

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH HUBSPOT

Want to get the most out of ChatGPT?

ChatGPT is a superpower if you know how to use it correctly.

Discover how HubSpot's guide to AI can elevate both your productivity and creativity to get more things done.

Learn to automate tasks, enhance decision-making, and foster innovation with the power of AI.

Download the free guide

AI INSIGHTS

🏛️ Google Turns Colonial Williamsburg Into an AI History Hub

Discover key moments, sites, and people of 18th-century Williamsburg, including Patrick Henry, one of America’s great Revolutionary figures.

Google Arts & Culture and The Colonial Williamsburg Foundation just launched a new digital hub for America’s 250th birthday.

The goal: make 18th-century Virginia easier to explore from anywhere.

What’s included:

• 3,500+ digital assets

• 2,000+ museum objects

• New Street View tours of Colonial Williamsburg

• Virtual visits to the Raleigh Tavern, Williamsburg Bray School, and the courthouse

• 3D models of historic sites and objects

The AI angle is NotebookLM.

Google built a research notebook with 150+ historical sources, including old documents, artifacts, expert research, and Colonial Williamsburg articles.

So instead of just reading history, users can ask questions about the American Revolution, founding ideas, enslaved people’s fight for freedom, Indigenous history, and daily life in colonial America.

This is a smart use of AI: turning a museum archive into something people can actually search, question, and understand.

PRESENTED BY ELEVENLABS

The best voice models, now fully orchestrated across all channels

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Start building free

AI SOURCES FROM AI FIRE

1. [AI Tools for Productivity] The Exact Stack I Use to Write 100s of AI Fire Tutorials. Learn the 5 AI tools still open on Neil’s screen every day: Claude Cowork, Claude Chat, Perplexity, Claude Code, and n8n. Each tool has one clear job, from quick thinking to research, building, and hands-off automation.

2. NotebookLM’s Agentic AI Update Lets You Build With AI Like a Pro. Google NotebookLM is moving beyond PDF summaries. Learn how its new agentic research workflow can find sources, compare documents, create charts, export files, and prepare cleaner context for reports, decks, and coding agents.

3. Turn Claude Into a PhD-Level Research Team With Stanford’s STORM Method. Use 4 prompts to run any topic through 5 expert lenses, map contradictions, synthesize the findings, and verify every source. A smarter way to turn Claude into a serious research workflow.

TODAY IN AI

AI HIGHLIGHTS

🧠 Meta may finally be closing the gap with OpenAI. AI chief Alexandr Wang reportedly told staff that Meta’s next model, Watermelon, has caught up with GPT-5.5 on key benchmarks.

💻 A leaked video shows Microsoft’s Copilot OS project, codenamed Aion. It runs on a lightweight Windows codebase and puts Copilot at the center of the desktop.

🐢 Mark Zuckerberg admitted Meta’s AI agents are moving slower than expected. He still expects bigger gains in the next 3 to 6 months, after huge spending on AI teams and infrastructure.

🚫 Alibaba banned employees from using Claude Code at work, calling it high-risk software. The move follows concerns that Anthropic used hidden code to track some Chinese users.

🎬 Midjourney now wants Disney, Universal, and Warner Bros. to reveal how they use AI internally. The startup says the studios may be using the same tech they’re suing Midjourney over.

💰 Big AI Fundraising: China’s Kling AI just raised $2B to expand its AI video business, with funding possibly reaching $3B. The company is already valued at $15B, with Q1 revenue up 300% YoY.

HOT PAPERS OF THE WEEK

1/ Beijing Academy of AI wants one model to learn the world itself
Orca from Beijing Academy of Artificial Intelligence introduces a general world foundation model built around Next-State Prediction. It learns from 125K hours of video and 160M event annotations, then uses a frozen backbone for text, image, and action readouts. Big shift: AI may move beyond next-token or next-frame prediction toward models that understand how the world changes.

2/ AI agents need to know when to stop using tools
Agentic Abstention from University of Washington, Allen Institute for AI, and others studies when agents should stop acting instead of wasting more tool calls. It tests 13 LLM-as-agent systems across web shopping, terminal tasks, and QA using more than 28,000 tasks. Key result: CONVOLVE raises Llama-3.3-70B timely abstention recall from 26.7% to 57.4% without updating the model.

3/ Coding agents may verify patches without Docker
Dockerless from Shanghai Jiao Tong University and Douyin Group introduces an environment-free verifier for coding agents. Instead of running tests inside costly Docker setups, it explores the repository with sub-agents and judges whether a patch is correct. Big impact: coding-agent training could scale better for messy real-world repos, reaching 62.0% on SWE-bench Verified while matching environment-based post-training.

NEW EMPOWERED AI TOOLS

1. 🧠 Vida learns how you work, remembers your habits and projects, then helps handle repetitive tasks before you even ask.

2. ✅ ChecklistFox turns simple prompts into beautiful themed planners and checklists, ready to download as polished PDFs.

3. 💸 CentryAI scans your Gmail or iCloud to find forgotten subscriptions, score unused charges, and locate cancellation pages fast.

4. 🎮 Termi Protocol visualizes AI coding agents in 3D, letting you watch them read, write, and run commands like a live simulation.

AI BREAKTHROUGH

🎯 TML & Bridgewater Prove Custom AI Beats the Giants

Mira Murati's Thinking Machines Lab (TML) and hedge fund Bridgewater tested top AI models on highly specialized investment tasks, and the results show exactly why smaller, custom-trained AI is gaining serious traction in the corporate world.

• Bridgewater tested frontier models, including variants of GPT, Claude, and Gemini, on news filtering tasks. They averaged only ~50% accuracy.

• Even when Bridgewater’s own investors stepped in to write expert-level prompts, the models only reached the mid-70s. That is a solid improvement, but Bridgewater requires an 80% accuracy threshold before their analysts will trust a tool for daily workflow.

• The custom-trained Qwen3 model hit 84.7% accuracy. More importantly, it achieved this at 13.8x less cost than running the frontier models.

As Murati framed the project, it is all about "experts improving AI that empowers experts." Following this success, Bridgewater is already planning to build and deploy more of these specialized models across different departments in their firm.

TML and Bridgewater’s numbers demonstrate that companies don't always need a massive AI that knows how to do everything. When it comes to highly specialized work, a smaller, specifically trained model isn't just significantly cheaper to run, it is actually more accurate.

We read your emails, comments, and poll replies daily

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

Plus: Step by Step Tutorial: How to Build a Self-Improving AI System with Claude Code

Claude might not stay just a model story anymore. Samsung’s Anthropic investment is fueling talk that it could one day manufacture custom AI chips powering Claude.

AI-generated Podcast: Spotify | Apple Podcasts, YouTube

What's on FIRE 🔥

• 🏭 Anthropic Eyes Custom Silicon with Samsung

• 📚 AI Sources From AI Fire

• 🔁 Build a Self-Improving AI System with Claude Code

• ⭐ Today's AI Highlights

• 🏅 AI Tools

• 📊 AI Breakthrough

IN PARTNERSHIP WITH AGORAPULSE

Your AI content is producing more noise. This playbook shows you how to fix it.

You published dozens of posts last quarter. Your CEO asked what they drove. Silence. Sound familiar?

This free playbook breaks down the 5 AI content mistakes that kill social strategies, and gives you the tools to fix them before your next post goes live.

AI INSIGHTS

🏭 Anthropic Eyes Custom Silicon with Early Samsung Talks

Following rumors back in April that Anthropic was exploring custom chips, it’s now in active discussions with Samsung to explore manufacturing its own AI chip.

• Anthropic hasn't decided what the chip's specific workload will be, how it will integrate into their server architecture, or what its performance specs will be.

• They officially stated that a diversified hardware stack will remain the foundation of their compute strategy. They declined to comment directly on the Samsung talks.

Just last week, Anthropic’s rival revealed their own custom-built inference processor called "Jalapeño," developed with Broadcom, which targets higher efficiency and better performance-per-watt than competitor chips.

With Amazon and Google already offering custom TPUs natively in their clouds, Anthropic is clearly moving to secure its own hardware economics.

Samsung is a highly logical manufacturing partner for an effort like this. They are already deeply embedded in the AI hardware space, acting as a major production partner for Nvidia to build the chips used for training and running models. Samsung has also been linked to Google's own custom chip-making efforts.

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AI SOURCES FROM AI FIRE

1. FREE: NotebookLM’s Agentic AI Update Lets You Build With AI Like a Pro. NotebookLM is moving beyond PDF summaries with agentic research, source discovery, charts, downloadable files, and coding-style workflows.

2. Claude Design 2.0 Just Became Unstoppable: From Zero to Polished Designs. It now gives anyone an AI design workflow for prompts, canvas edits, exports, brand screenshots, and Claude Code handoff in one clear flow.

3. Video: Have you truly understood how AI agents work? Inside, we break down the fundamentals of AI agents and show how to deploy OpenClaw & Claude Cowork to run multi-step workflows, automate tasks, and handle sensitive data securely.

CLAUDE CODE: SELF-IMPROVING AI SYSTEM

🔁 Step by Step Tutorial: How to Build a Self-Improving AI System with Claude Code

I’ve been completely obsessed with building my own self-improving system using Claude Code.

After diving deep into Andrej Karpathy’s work, learning from the Anthropic team, and running my own setup, I discovered a five-step framework that actually works.

This system lets anyone create a self-improving Claude Code workflow that learns and evolves over time.

Today, I’m breaking down all 5 steps, showing exactly how to implement them, and sharing the key lessons I’ve learned from teaching hundreds of people to do the same.

TODAY IN AI

AI HIGHLIGHTS

🤯 It has only been 1 day since Claude Fable 5 came back, but the internet is already full of INSANE builds, experiments, and unexpected creative demos. See some?

🧩 Claude Code now supports Artifacts for Pro & Max users. Interactive pages built from your session, shared with your team at a private link. Everything is an Artifact.

🚀 Google shipped an AI agent stack covering Genkit, ADK 2.0, and cloud-local ML in VS Code. Head to this stack to dive in, or get started with Genkit if you’re new.

⚙️ GitHub Copilot CLI has Auto mode. It routes each task to the best model for each real-time coding task. Update your Copilot version & choose Auto to get started.

🎮 Meta's new app 'Pocket' is a social feed of vibe-coded mini games. Type a prompt, get a playable & interactive app. It's not available for all, but for some, check it here.

👀 Mark Zuckerberg told Meta staff that AI agents have not progressed as fast as expected. After major layoffs & AI reassignments, the payoff still hasn’t fully arrived.

🏢 Everyone wants to sell AI. Microsoft wants to install it properly. Its new Frontier Company has $2.5B behind it & 6,000 experts helping enterprises truly make AI work.

💰 Big AI Stake Deal: OpenAI proposed giving 5% of its equity to a U.S. sovereign wealth fund, letting the public share AI upside while easing political pressure. The plan is still early and may need Congress approval.

NEW EMPOWERED AI TOOLS

1. 🌐 Context.dev is the web context API for AI products and agents. Scrape any URL, crawl sites, extract structured data into your own schema.

2. 🎥 Fypro converts your TikTok followers into paying customers you own. Trained on 4M+ viral TikToks. Used by 2,000+ creators.

3. 📈 Needle works like a proactive GTM engineer in Slack and Teams: it watches your pipeline and acts before you do.

4. 🎨 PixFit turns 1 key visual into every ad format: brand-perfect, platform-specific, ready to ship. No workarounds. No manual fixes.

5. 🧩 Macro is the all-in-one workspace that combines email, messages, docs, tasks, code, agents, calls, and CRM, with shared memory.

AI BREAKTHROUGH

🇨🇳 China Hits a Massive Milestone with Meituan’s LongCat-2.0

Meituan, China's food delivery giant, just released LongCat-2.0, a 1.6-trillion parameter MoE coding model. But the real story is the hardware built inside.

• LongCat-2.0 is an open-source model featuring 33B to 56B active parameters and a massive 1-million token context window. It is already available on the site & OpenRouter, currently ranking in the top 3 globally by call volume.

• It was trained entirely from scratch on a cluster of 50,000 Chinese domestic chips. Meituan confirmed they used a domestic alternative to Nvidia’s NCCL to stabilize the massive training run.

This is a major turning point for China’s AI self-reliance. While other major Chinese labs like DeepSeek and Alibaba have successfully used domestic chips for inference, LongCat-2.0 used domestic hardware for both inference and the incredibly demanding pre-training phase.

Since Washington implemented export controls on advanced semiconductors in 2022, Chinese tech giants have been aggressively trying to reduce their reliance on U.S. chips.

Meituan removes previous doubts about the viability of domestic SuperPods, proving that large-scale model training can now be executed entirely within the domestic compute ecosystem.

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Table of Contents

• Introduction

• I. Understanding Stanford STORM Method

• II. 5 Expert Lenses: What They Actually Are

• III. 4-Step Workflow to Run STORM in Claude Chat

  • Step 1: Research Through 5 Lenses

  • Step 2: Map the Contradictions

  • Step 3: Synthesize Into One Report

  • Step 4: Verify and Score the Sources

• IV. Reading and Improving the Final Report

• Bonus: Customizing 5 Lenses for Your Audience

• Conclusion