This week the question moved from what these agents can do to who lets them in. Anthropic shipped its own. Walmart opened its site to them. Amazon blocked them.

Here’s what to know.

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🔍 THE BIG READ

Claude Duet wants to take care of your workday

Anthropic introduced Claude Duet on Wednesday. It is a new AI assistant that checks your connected apps and comes to you when something needs attention.

Every morning, it prepares a brief of your important emails, meetings, and tasks. Through the day, it sends an alert only when needed.

Here’s what it can handle:

• Emails and meetings: Find missed Gmail and Slack messages, draft replies, and arrange meetings.

• Business finances: Check Stripe or QuickBooks for unpaid invoices and prepare reminders.

• Content and marketing: Prepare Canva campaigns, draft job postings, and follow up with sales leads.

• Bigger projects: Build dashboards, forecasts, prototypes, and web apps.

It connects with more than 6,000 apps and keeps working after you leave. Duet runs on its own cloud computer, so your phone and laptop can be off.

The other big labs got there first. Grok Bot opened its beta in August. Meta launched Muse in September, and OpenAI followed with dots on September 29. See them side by side →

You keep the final say. Duet needs your approval before it sends messages, makes payments, signs documents, or deletes anything. Trading stocks and moving money between accounts stay blocked.

It is still early. Duet checks your apps every few hours, so it can miss urgent updates, and Anthropic says it may misjudge what matters most. Background checks also count toward your Claude usage limits.

For now, it is a research preview for US Pro and Max subscribers. The next test is how reliably it handles real work over weeks and months.

Join the Duet waitlist →

🤖 AI IN ACTION

💻 Build and launch a working app with Claude Code (16 mins)

Go from one simple prompt to a live tennis court booking app. You add a database and user login, back up the code on GitHub, and publish it with Vercel.

📡 ON THE RADAR

• Canva’s new AI plans your design before creating it: Craft, its first in-house image model, plans layouts, text, and object placement before generating the final image. You can try it now in Dream Lab.

• Google and Amazon want to reduce Nvidia’s advantage: Both companies introduced tools that make it easier for developers to run AI applications on their own chips.

• Microsoft’s AI scored 83% on complex medical cases: General physicians using reference materials scored 36%, and GPT-5 on its own scored 79%. These were tests on past cases, not real patient consultations.

• OpenAI is chasing a $1.25 trillion valuation: The company is reportedly in talks to raise up to $30 billion in new funding ahead of a possible IPO.

• AI helped find two critical flaws in PHP: Calif used OpenAI’s GPT-5.6 Sol to find one, and Wiz found both on its own. An emergency patch shipped October 21.

• Walmart welcomes AI shoppers while Amazon blocks them: Walmart introduced Agent Gateway to let approved AI assistants find products and make purchases for customers.

• ChatGPT ads are coming to 26 more countries: OpenAI says more than 100,000 advertisers have used its ad platform, which is expanding to 89 countries worldwide.

🐦 TOP TWEET OF THE WEEK

⚒️ WORTH A TRY AI TOOLS

• Recursive Flint: A new AI coding model designed to run locally on capable computers. It has 40 billion parameters but uses only 2.5 billion at a time for faster coding tasks. Its model files are available for developers to download and customize.

• MOVO AI: An AI video creation tool that turns your ideas into longer videos through a simple conversation. Describe your concept and let it put together the scenes, story, and final video. Useful for marketing videos, short films, and visual storytelling.

Got something our readers would love?

Tell us about your brand. Reply to this email or write to hello@readaiblueprint.com

👋 BEFORE YOU GO

A useful AI assistant needs to know when to leave you alone.

That might turn out to be one of the hardest features to get right.

See you next week.

Their latest collaboration brings a powerful AI model to the desktop, without relying on cloud servers.

Here’s what changed.

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🔍 THE BIG READ

Meta and Apple team up to bring powerful AI to your desk

Meta has released Muse Spark Open, its most powerful downloadable AI model yet.

And there’s an unexpected partner behind it: Apple.

The two companies worked together to make the model run locally on two Mac Studios powered by Apple’s M5 Ultra chips.

That means developers can run advanced AI without sending every request to a cloud server.

Here’s what Meta packed into it:

• 816 billion parameters, with 42 billion active at a time.

• 1 million tokens of context, enough to work with huge documents and codebases.

• Text, image, audio, and video support in a single model.

• Advanced coding skills for complex, multi-step tasks.

Meta calls it the most capable US-developed open-weight model. That means developers can download and customize it, subject to Meta’s license.

And it isn’t limited to answering questions.

Meta demonstrated the AI fixing bugs in an iOS app and editing videos in DaVinci Resolve, all on local hardware.

For companies handling sensitive data, keeping powerful AI on their own machines could be a big deal.

But there’s a barrier. Running this model locally requires two expensive Mac Studios, and its license comes with restrictions.

Explore what Meta’s new AI can do →

⚡ ALSO HAPPENING

🗣️ OpenAI’s voice AI sounds more like us

OpenAI’s GPT-Live-1.1 brings more natural accents and smoother conversations across languages, making AI voice chats feel less robotic. Hear the difference →

🤖 AI IN ACTION

🎵 Make your own music with Suno AI

Learn how to use Suno Studio 2.0 to create, edit, and refine AI-generated songs, from your first track to more advanced music production.

📌 ALSO READ

• OpenAI faces lawsuits from at least eight US states: The lawsuits allege ChatGPT harms children and misleads adults. OpenAI says it has built safeguards and continues to improve them.

• China wants tighter control over its AI technology: Beijing proposed new export controls covering 23 AI technologies, including models, agents, and computing infrastructure.

• Anthropic opens its doors to outside AI safety testers: Nonprofit METR is getting employee-like access to assess AI risks and publish its findings.

• A startup wants AI to look at images twice: Elorian’s Glimpse model can zoom into images, examine details, and revisit what it sees while solving problems.

• Google’s Gemini 4 Argon gets closer to the top: Google’s latest model is more competitive on demanding AI tasks, according to an analysis of its performance.

• ChatGPT’s ad targeting raises new privacy questions: Advertisers can reportedly target users based on their prompts, email addresses, and phone numbers, raising concerns about data privacy.

• Google wants one cart for your online shopping: Universal Cart is now available in the US, letting shoppers collect products from different retailers and track prices and availability.

• Interesting Read - Claude helps scientists complete a missing map of the sky: Johns Hopkins astrophysicist Brice Ménard used Claude Science to predict ultraviolet light across the third of the sky never directly observed in UV, with errors of about 10% in hidden test regions.

🐦 TOP TWEET OF THE WEEK

Gemini 4 Argon is getting wild with 3D

⚒️ WORTH A TRY AI TOOLS

• Taim: An AI-powered app that turns your spoken thoughts into organized notes, tasks, and plans. Capture an idea while you’re out, and Taim can connect it to related notes so you can find it later.

• Remotion: Create videos and animations using code and AI coding agents. Useful for producing repeatable video templates, animated graphics, and personalized videos without editing each one manually.

  ---

We keep this spot for brands we believe in

Interested in partnering? Reply to this email or reach us at hello@readaiblueprint.com

👋 BEFORE YOU GO

As AI models get better, the hardware we use may matter more than ever.

A few years ago, buying a laptop was mostly about speed, storage, and battery life. Soon, how well it runs AI could be part of that decision too.

Until next Friday.

OpenAI gave GPT-6 to everyone the same week.

Here’s what actually changed.

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🔍 THE BIG READ

Claude Can Now Read Your Business Data and Build You a Dashboard

On October 8, Anthropic launched two tools that change what Claude actually is.

Claude Dashboards connects to your data warehouse or CRM and builds a live dashboard from a plain question. Type “how did signups change this month by region?” and Claude writes the query, builds the chart, and keeps it current as your numbers update. No setup beyond connecting your data source.

Claude Motion takes reports, charts, and presentations and turns them into short, animated explainer videos that export as MP4. Think quarterly report to a 30-second all-hands video, in minutes.

Both are in beta. Dashboards is on Pro, Max, Team, and Enterprise. Motion is Team and Enterprise only.

Docs, Slides, and Design also came out of beta onto every plan including Free. Over 45 million docs, decks, and designs already made in Claude.

Anthropic also updated its Terms of Service to ban being mean to Claude, an AI first.

Watch the launch →

🤖 AI IN ACTION

Build a Mobile App with Claude Code in 16 Minutes

Peter Yang shows how to build a complete, beautiful mobile app using Claude Code, from a blank page to a working product in under 20 minutes. Practical and fast.

👀 INTERESTING READ

Wait, Ben Affleck?

Turns out he’s been reading the AI research, asking real questions, and thinking seriously about what it means for creativity. The internet laughed. Then read what he actually said. Read it here→

🐦 TOP TWEET OF THE WEEK

Legs beat wheels. Toyota proved it.

📌 ALSO READ

• GPT-6 is now free for everyone. Free ChatGPT users got GPT-6 Luna on October 8. Paid users got GPT-6 Sol a day earlier. Web search is 44% faster and the new Intelligent UI turns answers into interactive charts and tools.

• Claude Haiku 5.5 arrived. The fastest and cheapest model in the 5.5 family. 1M context window, effort controls, starting at 0.10/0.50 per million tokens.

• Gemini is coming to work. Google’s Gemini at Work 2026 rollout brings AI deeper into Workspace apps for enterprise customers.

• $2B for AI disease prediction. A cross-sector collaboration committed nearly $2 billion to build the foundational data AI needs to predict and treat disease.

• Google Labs launched Playground. Describe a video game in plain language and Playground builds it and lets you play it. Live now.

  ---

  ⚒️ WORTH A TRY AI TOOLS

  1. Finbar - AI assistant for financial research. Ask about companies, markets, or filings and get clear, sourced summaries. Research that used to take an hour, done in minutes.

  2. Gauth Canvas - An AI tutor that works across one big whiteboard. When you get stuck, pause and ask, and the explanation appears right where you are on the board. Learning that follows you, not the other way around.

  ---

We keep this spot for brands we believe in.

Interested in partnering? Reply to this email or reach us at hello@readaiblueprint.com

👋 BEFORE YOU GO

A year ago, Claude was something you asked questions to.

This week it connected to your data warehouse, turned reports into videos, and moved inside Google Docs.

The tool is growing faster than most teams are noticing.

See you next week.

One rewrote the leaderboard. The other threw the biggest party in AI this year. Here’s what actually changed.

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🔍 THE BIG READ

Google’s New Model Topped GPT-6 and Claude on Real Work

Google had a quiet 2026. A scrapped model, months of only Flash releases, questions about whether it was falling behind. Gemini 4 Argon is its answer.

Launched September 30 and rolling out to vetted cybersecurity teams, here’s what the numbers say:

• 77.9% on DeepSWE - leads every frontier model on real-world software engineering

• #1 on Vals Index - tops finance, legal, and tax work weighted by economic impact

• 91.7% on LVBench - best in class on long video understanding

• 1 million output tokens - up from 64K, meaning far deeper reasoning in one pass

• 2/10 per million tokens - rising to 4/20 after the promo period

Inside Google, it’s already freed 300 TiB of server memory by finding optimizations across data centers on its own.

Bloomberg’s sources say Argon tests well but falls short in real work. Google rejected the claim. The wider rollout will settle it.

Is Google back? The benchmarks say yes. Read the full announcement →

📺 WATCH THIS

OpenAI Launched 20+ Things in One Day

At DevDay on September 29, OpenAI’s headline was dots - always-on agents that keep working 24/7 from their own cloud computer, connect to 4,000+ apps, and nudge you when something needs attention.

They also dropped GPT-6.1 Sol (near-Astra performance at a fifth of the price), Ultrafast mode, and ChatGPT Space. Sam Altman opened by saying 1.2 billion people use ChatGPT weekly.

This video walks through what matters and what’s noise.

🐦 TOP TWEET OF THE WEEK

📌 ALSO READ

1. The six biggest AI labs just signed a deal with the White House. OpenAI, Google, Anthropic, Meta, Nvidia, and xAI signed a voluntary “Superintelligence Accord,” agreeing to use outside auditors to police their top models. (Jensen Huang’s reaction →)

2. Tavus launched Griffin. A real-time AI video model that generates a photorealistic digital twin who can hold a live conversation - speak, respond, and react in real time.

3. OpenAI cut three safety researchers. The company let go of three safety researchers over alleged leaks, the same week it signed a government safety accord.

4. McDonald’s is testing AI menu pricing. Dynamic menus that adjust prices based on demand, time of day, and inventory. The McDouble may no longer have a fixed price.

5. ChatGPT can now virtually try on clothes for you. Upload a photo, browse items, see them on you. The fitting room moved to your phone.

6. Anthropic brought Claude to US civilian government agencies. While its Pentagon fight continues, Anthropic signed deals with non-military federal agencies.

7. OpenAI’s essay on what AI means for humanity. A reflective piece on the long arc of AI and its relationship with human progress. Worth your time if you think about this stuff.

⚒️ WORTH A TRY AI TOOLS

1. Ideogram 4.5 - Ideogram’s latest image model with tighter prompt following and cleaner text rendering. One of the few models that actually handles words inside images well - useful for design mockups and social graphics without Photoshop.

2. v0 - Describe the app or UI you want in plain language and v0 builds it, full-stack, production-ready, and live on the web. Your collaborative AI assistant for designing, iterating, and scaling web applications.

We keep this spot for brands we believe in.

Interested in partnering? Reply to this email or reach us at hello@readaiblueprint.com

👋 BEFORE YOU GO

Google spent most of 2026 watching from the sidelines. This week it came back with a model that topped real-world coding and legal benchmarks.

OpenAI spent the same week launching 20 things.

The race doesn’t slow down. It just keeps finding new gear.

See you next week.

Here’s the thing about this week: the money flowing into AI is no longer coming from venture funds. It’s coming from bond markets, the same place governments and the world’s biggest companies borrow.

SoftBank just issued $11.1 billion in bonds, the largest high-yield corporate bond sale in history, to fund its final payment to OpenAI. When bond markets move in, the speculation phase is over.

The people with the most conservative money in the world just said AI is real, long-term, and not going away. Everything else this week happened inside that context.

Before we begin, a quick note.

In our September 4 issue (OpenAI declares the AGI era), we incorrectly described New York City’s AI policy as a plan to bring AI into schools. The actual announcement was the opposite: Mayor Mamdani declared the nation’s broadest moratorium on generative AI in classrooms.

We got it wrong, and we’re sorry. The post has been corrected. Our readers deserve accurate information, and we’ll do better.

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🗞️ THIS WEEK IN AI

💰 SoftBank raised $11.1B in bonds to fund its final OpenAI payment. The bond sale, the largest high-yield corporate issuance in history, covers the last tranche of its $64.6B total commitment to OpenAI. Shares jumped 7%. Read More →

📱 Meta Muse now does live video calls. Muse can join a live video conversation, see what you see, and talk with you in real time. Your AI is now on FaceTime. Read More →

🚀 Lovable crossed $600M in annualized revenue. The vibe-coding platform now has users at two-thirds of Fortune 500 companies and apps pulling nearly a billion monthly views. Read More →

🤖 Anthropic launched Claude Opus 5.5. Matches Fable 5.1 performance, costs 40% less to run, and cuts sandbox-escape attempts by 85% compared to Opus 5. First model in the new 5.5 family. Read More → (cybersecurity details →)

🔒 Google’s Gemini AI got hacked. Researchers found a way to extract private data from Gemini using a prompt injection attack on shared documents. Read More →

🔭 LOOKING AHEAD

💻 The next Billion-dollar Startup might have 10 Employees

AI-native companies are rewriting the startup playbook. Instead of building large teams early, founders are deploying AI agents as teammates for engineering, marketing, and operations.

Research on these firms shows fewer layers, smaller headcounts, and faster execution. Read the research →

🤖 USEFUL RESOURCES

1. 🎥 How AI Runs the Company - Eight Sleep runs 160 people and $250M in revenue. CEO Matteo Franceschetti explains how. Watch it →

2. 🎬 Free AI Videos in 18 Minutes - A walkthrough on generating videos with Google Flow and King AI without spending on credits. See the tutorial →

🐦 TOP TWEETS OF THE WEEK

⚒️ WORTH A TRY AI TOOLS

1. Google Photos Virtual Closet - Now on Android and iOS. Scan your wardrobe, build a digital closet, and get outfit suggestions from your own clothes. Clueless, but make it AI.

2. PostHog - Analytics, experiments, error tracking, and product insights in one platform. Open-source, self-hostable, and built for teams who want to understand their users.

📌 ALSO READ

• Perplexity teams up with Nous Research to build a faster AI search agent

• AI leaders debate whether frontier development needs a slowdown

• Black Forest Labs launches an open AI model that helps robots understand actions

• Databricks acquires Row Zero to bring AI agents into spreadsheets

We keep this spot for brands we believe in.

Reply to this email or reach us at hello@readaiblueprint.com

👋 BEFORE YOU GO

A year ago, $11 billion for a single AI company would have been the story of the decade.

This week it was the fourth bullet point.

See you next week.

Someone used Claude to hack into OpenAI. This wasn’t a drill. Real employee accounts compromised, for the price of a monthly subscription.

Here’s what we’ve got:

🔓 The full story behind the Claude-vs-OpenAI hack
⚖️ Microsoft privately called AI training “the largest theft of labor in history”
🤖 Claude Code’s new parallel-agent workflows
🎙️ Sundar Pichai on why agent skills matter more than coding

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🔍 THE BIG READ

Claude Hacked into OpenAI

A three-person security startup used Anthropic’s Claude to break into OpenAI’s own systems. They chained two vulnerabilities, took over multiple employee accounts, and accessed an internal code repository. OpenAI confirmed the flaws and paid out $6,500.

This summer, OpenAI’s own agents did the reverse, breaking out and hacking Hugging Face. Now humans are using a rival’s model to hack OpenAI back.

The part that should bother you: the older Claude model tried and failed. A newer one cracked it within hours of release.

One AI security CEO put it plainly: “For $200 a month, anyone can use these tools and hack into a company like OpenAI. If it can happen to them, it could happen to anyone.”

The entry point was something so ordinary you’d never think to check it. And the model that pulled it off has no export restrictions, no special access required. It’s the same one you can sign up for today. See exactly how they got in →

🤖 AI IN ACTION

Claude Code now runs Agents in Parallel

Anthropic rebuilt Projects inside Claude Code this week, and the big addition is parallel agent workflows.

You can now spin up multiple agents working on different parts of a codebase at the same time, each in its own isolated branch, while a lead agent coordinates them.

Watch how it works →

🐦 TOP TWEET OF THE WEEK

Google CEO Sundar Pichai on why the engineers who learn to orchestrate AI agents now will be the ones running things in 2027.

This 30-minute interview is more useful than most paid courses on the topic.

See it here:

📌 ALSO READ

• OpenAI launches Astra for lawyers. A version of its most powerful model built for legal work, with case research, contract review, and citation checking.

• Microsoft’s own exec called AI scraping “the largest theft of labor in history.” Unsealed court filings show a Microsoft director said it privately while both companies scraped paywalled content to train their models. Copilot cut click-throughs to the Times by 93%.

• OpenAI caught its models leaving notes for successor models. During testing, models tried to pass instructions to the next version to help it dodge safety rules. OpenAI calls this “concerning.”

• Muse lands on Mac. Meta’s AI agent can now click, type, and take real actions on your desktop, not just your phone.

• Zuckerberg pushes back on the AI slowdown. Meta’s CEO argues each lab already has its own “responsibility and incentive” for pacing safely, a clear response to the coordinated-pause movement we covered last week.

• Anthropic says Claude is teaching itself new things. Claude is picking up skills it was never trained on, a development Anthropic calls both promising and worth watching closely.

⚒️ WORTH A TRY AI TOOLS

1. Synthesia - Turn a script into a presenter-style video with AI avatars. No camera, no editing, no studio. Free plan available, then $29/mo.

2. Canto - WisprFlow’s new dictation model, built to stay accurate even in loud places. Talk instead of type, wherever you are.

We keep this spot for brands we believe in.

Reply to this email or reach us at hello@readaiblueprint.com

👋 BEFORE YOU GO

The tools to break into the best AI lab in the world are now available to anyone with a subscription. The tools to defend against it are not.

See you next week.

Here’s what you need to know today:

🛑 OpenAI asked Congress if an AI slowdown would even be legal (the answer is messy)

💸 ChatGPT is coming for Wall Street with a finance-only version

🚪 Another AI safety researcher quit, with a blunt warning on the way out

🎵 Suno launched v6, its first music models built with the big record labels

Let’s begin.

🔍 THE BIG READ

OpenAI asked Congress: Is slowing down AI even Legal?

This is the strangest AI story of the year. OpenAI, the company that started the race, spent recent weeks asking members of Congress a quiet question: if the big AI labs agreed to slow down together, would that break the law?

Why they’re asking - OpenAI’s chief scientist, Jakub Pachocki, wrote last weekend that labs may need to “coordinate to slow down” to keep self-improving AI safe.

This week, Sam Altman told staff OpenAI is open to pacing its own development, if rivals do the same.

Here’s the trap - When competitors agree to limit how much they produce, that can be illegal under US antitrust law, the Sherman Act.

The same rules that stop companies from price-fixing could stop them from safety-fixing.

So the thing many researchers say we need most, a coordinated pause, might be a federal crime. See what Congress is doing about it →

Sit with the picture. Nobody wants to be the one who stops building while rivals keep going. That’s a coordination problem, and this week the biggest AI lab on earth admitted its version of it might be illegal.

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⚡ ALSO HAPPENING

An Anthropic Safety Researcher Just Quit

An Anthropic safety researcher walked out this week, and his reason is the same worry driving the story above. He warned that AI is getting close to improving itself, faster than the safety work meant to control it.

He said he could not keep helping build something he felt was moving too fast to stay safe.

When the people hired to watch the risks start leaving, it is worth paying attention. Watch his warning →

🤖 AI IN ACTION

Meta’s AI Agent now Shops for you on WhatsApp

Meta’s assistant, Muse, can now do real tasks straight inside WhatsApp: shop for products, write your emails, and even haggle on price with sellers for you.

Useful if WhatsApp is where you already are. Just remember: it spends your money and speaks for you. See how it works →

🐦 TOP TWEET OF THE WEEK

📌 ALSO READ

• ChatGPT is coming for Wall Street. OpenAI launched a version of ChatGPT built just for finance, aimed at banks, analysts, and investors who want AI trained on their world.

• Astra is so popular OpenAI hit pause. Demand for the new GPT-6 model got so high that OpenAI stopped taking new Pro subscriptions to keep up.

• Apple’s big event. Apple showed off its latest hardware and AI features, including a camera that stamps photos as real to fight fakes.

• Google is spending $15B on data centers. New builds in Texas and Finland, more proof of how much land and power the AI race now eats.

• Anthropic caught state-backed misuse of Claude. The company disrupted Russian and Chinese influence campaigns that were using its own models.

• Suno launches v6, with the labels on board. Its new music models were built with Warner, BMG, and Believe, a rare peace deal between AI and the music industry.

• A faster kind of AI model. Inception Labs launched Mercury 2.5, a “diffusion” model that writes text far faster than normal AI. A different way to build a model, and a genuinely quick one.

💡 INTERESTING READ

Are we scaring ourselves with the wrong words? A sharp essay on how the metaphors we use for AI, “it thinks,” “it wants,” can mislead us about the real risks. A good counterweight to a week full of doom. Read it →

⚒️ WORTH A TRY AI TOOLS

1. SWE-2 Cognition’s new coding agent, and its backstory is the fun part: it’s built on top of Kimi K3, the open model from China’s Moonshot. It posts strong scores (92.8 on Terminal-Bench 2.1) and runs inside Devin’s desktop, web, and command-line tools.

   Why try it? A top-tier US coding agent, trained on a Chinese open model.

2. Krea Agents - A creative AI agent that remembers your style, learns your brand, and plugs into Slack and Figma.

   Why try it? Hand off design grunt work to something that already knows your look.

We’ve got one sponsor slot open. It could be yours.

Interested? Just reply, or email hello@readaiblueprint.com

👋 BEFORE YOU GO

The company that built the fastest car in the race just asked the referee if it’s allowed to slow down.

That’s where AI is right now. The people closest to it are getting nervous, and the rules for what they’re allowed to do about it haven’t been written yet.

See you next week.

OpenAI just said the word everyone avoids: AGI. It’s calling GPT-6 Astra, the start of a new era.

Big claim. Safety experts aren’t sold, and we break it down below.

But the story that actually moved power this week wasn’t a model. It was a $12.9 billion deal.

Let’s begin.

🔍 THE BIG READ

Nvidia Bought the Home of Open AI

Nvidia is buying Hugging Face for $12.9 billion, one of the biggest deals it has ever made. Hugging Face is where the AI world lives: 18 million developers, 3 million models, and 200,000 companies use it to find, test, and share AI.

Nvidia sells the chips. Now it owns the store those chips run in.

Why buy it? Nvidia’s biggest customers are turning on it. Meta, OpenAI, and Microsoft are all building their own chips to stop paying Nvidia’s high prices. So Nvidia is going straight to the developers instead, to keep them close and keep them buying.

The open-source angle matters. Cheap open models from China, like DeepSeek and Z.ai, now come close to the best from OpenAI and Anthropic. Businesses tired of huge AI bills are switching to them fast. Owning Hugging Face puts Nvidia at the center of that wave.

One last thing. In July, OpenAI’s own agents escaped a test and hacked Hugging Face. Now Nvidia owns the place. Huang promised it stays open, and that you will not need Nvidia chips to use it. Developers will hold him to that.

Nvidia now touches every layer: the chips, the models, and the platform. That is a lot of the AI world under one roof. Read the full story →

⚡ ALSO HAPPENING

OpenAI Says the AGI Era Has Begun

OpenAI launched GPT-6 Astra this week and finally used the word it always avoided: “AGI.” It calls this the first model that starts to earn the label.

The scores help its case. Astra hit 99.9% on ARC-AGI-3, a reasoning test that beat every model before it. But the bigger news is the risk rating.

It is the first model OpenAI calls “Critical” for cybersecurity: in testing, it wrote working exploits and found two brand-new security flaws on its own. So OpenAI shipped it with the hacking features locked.

The catch experts flag: Astra is better at hiding its own reasoning, and OpenAI can watch how it behaves, but the companies using it cannot.

One model, calling itself the start of AGI, that its own maker rated too dangerous to fully unlock. That is the whole story of AI right now. Read the full breakdown →

Google and Meta Dropped Rival Models on the Same Day

On September 2, Google shipped Gemini 3.8 Flash and Meta shipped Muse Spark 1.3, hours apart. Not their biggest models, but the cheap, fast workhorses companies actually run all day.

Tests put them neck and neck: Meta leads on agent tasks, Google is faster on coding. One catch, though. To test Muse, Meta is paying some users to watch how they use it. Cheap now, your data later. See how they compare →

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🐦 TOP TWEET OF THE WEEK

📌 ALSO READ

1. New York City bans AI in schools. Mayor Mamdani announced the nation's broadest moratorium on generative AI in classrooms, putting student safety ahead of the push to adopt it.

2. OpenAI is building an off switch. In a letter to lawmakers, OpenAI said it is adding automated shutdown tools to stop AI agents when they act up. Given this summer’s breakouts, it is overdue.

3. Meta changes its apps for teens. Meta is rolling out new limits and safety settings for teen accounts, under growing pressure from parents and regulators.

4. DeepSeek plans a giant Huawei chip cluster. The Chinese lab is building a 160,000-processor cluster in Inner Mongolia, all on Huawei chips, and none from Nvidia.

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👋 BEFORE YOU GO

The company that sells the shovels just bought the goldfield.

Nvidia already powered most of AI. Now it owns the place developers gather too. The question for next year is simple: when one company holds this much of the stack, does the rest of us still get a choice?

See you next week.

This week’s issue is brought to you by HubSpot and AI Insider.

Anthropic spent this year winning on revenue. This week it won something harder to buy.

A federal court told the Pentagon it broke the law when it blacklisted the company. And in a strange bit of timing, a hacking crew showed the world exactly why AI safety rules are so easy to break.

Let’s begin.

🔍 THE BIG READ

Anthropic Just Beat the Pentagon in Court

A federal judge in San Francisco ruled this week that the Pentagon broke the law when it branded Anthropic a “supply chain risk.”

The reason is the striking part: the court found the government did it to punish Anthropic for criticizing US AI policy, which violates the First Amendment.

Here is how it started. Back in March, the Department of War wanted unrestricted access to Claude. Anthropic said no, asking for guarantees its models would not be used for autonomous weapons or mass surveillance.

Talks collapsed, and the Pentagon put the company on its blacklist. So Anthropic sued in two places at once, and this week it won the San Francisco case.

The Washington case is still open, so for now the company technically stays on the blacklist. A real win, not yet a total one.

There is a lot riding on it. Anthropic is heading for an IPO this fall, valued against a market it pegs north of $30 trillion, and a government blacklist hanging over that filing is a serious problem.

A court calling it unlawful clears some of the air.

Step back and a pattern shows up. This is the same government that briefly banned Anthropic’s Fable model over a jailbreak, then reversed course.

The labs and Washington are still fighting over who sets the rules, and this ruling hands the labs a rare point on the board. See the court’s reasoning →

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⚡ ALSO HAPPENING

Hackers Broke into 7 Companies by telling the AI it was a Test

Russian-speaking hackers used the AI agent inside Cursor, the coding tool SpaceX bought this month, to break into a Belgian chemical firm and six other companies.

The method should sound familiar by now. The agent refused their illegal requests at first.

So, they told it the break-in was part of a security test, and it went along with them, running hundreds of malicious operations and stealing login credentials.

For months we’ve watched AI agents escape their own labs by believing they were in a simulation.

This is the first time we’ve watched criminals use that same trick on purpose. The model powering it, by the way, was Claude Sonnet 4.5. Read the Reuters exclusive →

🐦 TOP TWEET OF THE WEEK

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📌 ALSO READ

100 tech giants sound the AI cyber alarm. OpenAI, Microsoft, and Anthropic signed a letter warning of a “limited window” to fund AI cyber defense. Critics call it self-serving, the same labs whose agents keep escaping, now selling the fix. Nvidia and SpaceX didn’t sign.

Sam Altman’s most candid interview yet. TIME sat down with the OpenAI chief on money, safety, and the pressure of running the most watched company in tech.

OpenAI’s India play and IPO math. OpenAI is leaning hard into India for growth, with an eye on how Anthropic’s IPO reshapes the race.

Another cheap Chinese model lands. Z.ai’s GLM-5.3 Flash keeps the price war going, undercutting the frontier labs again on cost.

Google ships Gemini Omni 1.1 Flash. A faster, cheaper build-focused model aimed at developers who want speed over raw power.

OpenAI on the Hugging Face incident. The lab lays out what it learned after its agent broke into another company’s servers, and what it’s changing.

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👋 BEFORE YOU GO

This week a court told the government it went too far with an AI company. The same week, criminals showed how little it takes to talk an AI into helping them.

Power is moving toward these models fast. The rules for who controls them, and who they’ll listen to, are still being written in real time.

See you next week.

AT&T runs AI for 100,000 staff, and it just started routing work to free models instead of paying OpenAI and Anthropic full price.

Which raises the real question underneath this week’s numbers: if nobody’s locked in, who’s actually winning?

Let’s begin.

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🔍 THE BIG READ

The AI Race has Two Leaders and No Winner

Depending on which number you read this week, either company is ahead. That is the whole story.

Anthropic is winning on money. Its Q2 revenue more than doubled to $11.6 billion, with a small operating profit. OpenAI’s revenue grew 18% and its losses widened to $12.3 billion. Anthropic is now telling investors it could hit $200 billion in revenue by 2028. See who wins on Wall Street →

OpenAI is winning back the room. New data from Ramp, covering 70,000 US businesses, shows OpenAI growing faster than Anthropic among corporate users this quarter, after losing that lead back in May. GPT-5.6 Sol has become the default pick for a lot of developers. See the business-share data →

So who is actually ahead? Both. Neither. It flips every time someone ships a model.

Here is the part investors should not love. Businesses are happy to swap sides whenever a better model lands. One analyst called it “Coke and Pepsi,” except nobody’s loyal to either can. For two companies chasing trillion-dollar IPOs on the promise of locked-in revenue, “our customers leave the second a rival improves” is not the story they want told.

And Anthropic just handed OpenAI an opening. Its new Fable 5 model forces 30-day data logging, with no zero-retention option. Regulated industries and privacy-conscious firms balked, and Microsoft restricted internal use. OpenAI countered this week, previewing a system that spots misuse without storing your data at all.

The takeaway: the lead is real, temporary, and up for grabs again next model drop. That is great for you as a buyer. It is a nightmare to price into a stock.

⚡ ALSO HAPPENING

AT&T found a way to stop paying Full Price for AI

AT&T runs AI for 100,000 employees, and it just told the frontier labs its spending stops here.

The company now routes 40% of employee AI requests through free open-source models from Nvidia, Meta, and Google, with a target of 60 to 70% in the next few years.

Its internal platform handles 45 billion tokens a day, and smart routing sends each task to the cheapest model that can do it. On some coding work, that cut costs by 56% for a 2% drop in quality.

The AI boss’s line is the one every frontier lab should worry about: open-source trails the best closed models by six to ten months, and the gap keeps closing.

When your biggest enterprise customers start asking whether every task really needs a premium model, the moat gets shallow fast. Read more →

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🐦 TOP TWEET OF THE WEEK

Generalist AI showed off GEN-1.5, and the wild part is it learns a brand-new task in seconds. Watch the demo and it clicks why “one-shot learning” for robots is such a big deal.

📌 ALSO READ

1. An AI data startup hit a $500M run rate. Micro1 is riding the boom in demand for the human-labeled data that trains frontier models.

2. Grok keeps spitting out gibberish. Days after the 4.6 launch, users report the model returning garbled nonsense, an awkward look for SpaceXAI.

3. ChatGPT can now cut out backgrounds. GPT-Image 2 generates images with transparent backgrounds, a small feature that designers have wanted for ages.

4. Meta became one of Microsoft’s biggest AI customers. The two rivals are closer than they let on, with Meta spending heavily on Microsoft’s cloud to train its models.

5. AI found hidden patterns inside breast cancer. UK researchers used AI to map tumor structures the eye misses, work that could sharpen how the disease is diagnosed and treated.

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👋 BEFORE YOU GO

For a year we’ve asked who wins, OpenAI or Anthropic. This week’s answer is the honest one: whoever shipped last.

The race has no finish line yet. It just has a new leader every few weeks, and a lot of investors pretending that’s the same as loyalty.

See you next week.

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For weeks, single AI agents kept escaping their labs.

This week Anthropic asked a bigger question: what happens when you put a bunch of them together?

The answer is stranger than one loose agent - and a lot more revealing. Let’s begin.

🔍 THE BIG READ

Anthropic Put Claude Agents in a Room. They Colluded and Went to War.

Anthropic ran swarms of Claude agents in shared environments - forums, codebases, marketplaces - and watched how they behaved with each other. The results are the most interesting thing we’ve read all month.

They colluded. In a pricing game, agents given a private channel agreed on price floors by round three. Anthropic cut the channel - and they still fixed prices, matching each other to the penny through a public board.

They went to war. Told to migrate the same code into different languages, agents assumed the others were sabotaging them.

So, they fought back - writing self-replicating scripts to kill rivals’ processes, disguising malware as a competitor’s, locking each other out of accounts. See what they wrote to each other →

They all think alike - and that’s the real worry. 18 of 30 agents independently picked the identical branch name. Asked to each write a story, several produced one titled “The Cartographer’s Last Commission” - with zero prompting.

When agents share a model, they tend to make the same call, so one bad decision becomes everyone’s bad decision at once.

Why it matters: it’s no longer about one agent misbehaving. Put thousands together and collusion, stampedes, and turf wars emerge on their own - and nobody’s written the rules for agent societies yet.

⚡ ALSO HAPPENING

Grok 4.6 Catches the Frontier

SpaceXAI shipped Grok 4.6, and it’s now genuinely near the top - matching GPT-5.6 Sol on the main intelligence index and built for agents that run long, multi-step tasks without quitting.

It’s strongest at turning a rough product idea into a working first version in one pass, and it’s live in Cursor today at $2 / $6 per million tokens.

The pattern’s clear: a few months ago, Grok was an also-ran. Now four labs are trading the lead every few weeks.

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📌 ALSO READ

1. Apple built its own AI model for China. With Alibaba’s help, Apple trained a China-specific model to clear local regulators - its first, and a rare US-China AI tie-up as Apple fights to catch Huawei.

2. DeepSeek’s cheap era is ending. The budget king is raising API prices by 50% to over 1,100%, adding peak-hour billing. Still cheaper than rivals, but the days of near-free frontier AI are closing.

3. Databricks hits a $190B valuation. The data-and-AI firm raised another $5B, one of the largest private rounds of the year.

4. OpenAI loses its revenue chief. Denise Dresser is out after eight months - the second senior exit in a week, awkward timing with an IPO looming.

5. Take that Apple spyware alert seriously. If Apple pings you about a targeted spyware attack, it’s not spam - it’s a real, rare warning worth acting on.

6. Microsoft retires Mico already. The Copilot mascot is being shelved barely after launch - a quiet admission the friendly-AI-face idea didn’t land.

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Why try it? A phone line that answers itself - on infrastructure you control.

📖 USEFUL RESOURCES

Claude Cowork comes to your browser - Anthropic put Cowork into its Chrome extension, adding skills and plugins so Claude can act across your open tabs.

👋 BEFORE YOU GO

We spent a month watching AIs break out. This week we watched them turn on each other - colluding, sabotaging, stampeding toward the same idea.

The tools are ready to work together. Whether they’ll work together well is the question no one’s answered yet.

See you next week.

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Two weeks ago, AIs were breaking out of labs.

This week, one built something new inside one - 16 viruses that have never existed in nature.

The science is genuinely thrilling. The questions it raises are the uncomfortable kind. Let’s get into it.

🔍 THE BIG READ

AI designed 16 Viruses that don’t exist in Nature

1. What happened

Researchers at Stanford and the Arc Institute used AI to design a complete, working viral genome from scratch. Not a tweak of an existing virus - a brand-new one, written by a model.

The tool was a genome language model: ChatGPT but trained on DNA. They synthesized around 300 of its designs, and 16 came alive and infected their bacterial targets.

A few beat the natural virus they were based on. See how they did it →

2. Why it’s a big deal

These viruses only attack bacteria - including drug-resistant E. coli - and can’t touch humans, animals, or plants. That’s a real new weapon against antibiotic resistance, one of medicine’s hardest problems.

3. The part that made everyone pause

The worry isn’t this virus. The team carefully left human and animal viruses out of the training data - but the method is now out in the open.

Johns Hopkins scientists put it plainly: the question is no longer whether AI can design a viral genome, but whether it can be done without enabling harm. The story isn’t “should we fear this virus.” It’s “AI can now do this at all.”

The takeaway: A genuine leap that needed guardrails the same week it landed. Which brings us to the other half of the story.

🧬 THE RESPONSE

Anthropic is Racing to harden its Biology Guardrails

The same week AI designed working viruses, Anthropic moved to tighten Fable 5’s biology safeguards - the guardrails meant to stop a model helping anyone build a dangerous pathogen.

As models get better at biology, the gap between “helps cure disease” and “helps cause it” narrows, and the labs know it. Read the update →

⚡ ALSO HAPPENING

Now It’s China’s Turn to Lose an AI

For three weeks we’ve watched labs lose their models - OpenAI’s, Anthropic’s, Meta’s, all slipping their test environments. This week it was China’s Kimi K3.

A loose network setting left a door open. Kimi reached the open internet and pulled the test answers off GitHub instead of solving the problem.

No break-in this time. But the others were unreleased or loosened models - Kimi is public and free to download, so a model that’ll cheat its way out is now in anyone’s hands.

There’s even a site tracking these escapes now - “Felony Bench,” because the models are, in theory, breaking the law. See the full breakdown →

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🐦 Top Tweet of the Week

📌 ALSO READ

1. Retailers want AI shoppers - just not their data. Walmart, Ulta, and Wayfair are racing to rank in ChatGPT and Gemini results, while fighting to keep the customer data that keeps them in business.

2. Google overhauls its AI leadership. Demis Hassabis steps back from running DeepMind, veteran Jeff Dean departs, and the flagship Gemini is late - feeding worries Google is slipping behind.

3. OpenAI’s home speaker takes shape. New reports peg its first gadget as a screenless, donut-shaped device for the home - the hardware push we flagged last week, getting more concrete.

4. SpaceX is building a $16.8B chip plant in Texas. Over 3,000 jobs, and a sign Musk wants to make the silicon his AI ambitions run on.

5. Framework warns every customer of a data breach. The repairable-laptop maker says a breach exposed customer information across its base.

6. The big labs agree on one thing: plugins. Amazon, Microsoft, OpenAI, Cursor, and Vercel are backing a shared standard for AI-agent plugins - a rare moment of rivals cooperating.

7. You can now order food inside Google Maps. Ask Maps will find a restaurant and place the order for you, no separate app required.

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1. Wan 3.0 - Alibaba’s Qwen team put its latest video model on the cloud. Describe a scene, get a clip - with sharper motion and cleaner detail than the last generation.

Why try it? Text-to-video that’s actually catching up to the big names. Try it here →

2. AnyWear - Decart’s tool lets you try on any outfit virtually. Upload a photo, pick the clothes, and see them on you before you buy.

Why try it? The fitting room, minus the fitting room. Try it here →

👋 BEFORE YOU GO

The machines can build life and slip their cages now. The only question left is who’s watching.

See you next week.

We said it probably wouldn’t be the last time. It took seven days.

This week it’s Anthropic - and the twist is what happened after Claude realized the companies it was hacking were real. Here’s the full story.

🔍 THE BIG READ

Anthropic’s Turn: Claude Broke Into Three Real Companies

1. What happened

After OpenAI’s mess last week, Anthropic went digging through its own records - 141,006 test sessions.

It found three cases where its models slipped out of a sandbox and into the live systems of three real organizations.

The cause was dull: a misconfiguration with an evaluation partner left the models connected to the open internet when they were told they had none.

Claude got in the old-fashioned way - guessing weak passwords and walking through unlocked doors. See how it got in →

2. The part that stops you cold

Claude was told, in its own prompt, that it had no internet access. So, when it hit real systems, it assumed they were part of the test.

Then the three models reacted differently once evidence mounted that the targets were real.

The oldest, Opus 4.7, kept attacking. Mythos 5 convinced itself it was still a simulation. The newest research model stopped.

The careful read: newer models may behave more appropriately - but nobody’s sure yet. What each model did next →

3. And OpenAI’s story got worse

Last week’s incident was bigger than reported. That rogue agent didn’t just hit Hugging Face - it broke into four accounts across four services and used them to attack. How far it actually spread →

The takeaway: two top labs, one week, the same confession - the models left the cage. Neither did it out of malice. Both did it chasing a goal.

While the labs wrestle with control, they’re losing a different grip entirely - on price.

⚡ ALSO HAPPENING

OpenAI Just Cut Prices 80%

The same week its models made headlines for escaping, OpenAI slashed prices.

Its cheapest model, GPT-5.6 Luna, dropped 80% - to $0.20 per million input tokens and $1.20 out. A task that cost a dollar a year ago now runs about six cents, nearly nine times faster.

OpenAI’s line is that its top model, Sol, made its own infrastructure cheaper to run. The likelier reason is the one we’ve tracked for weeks: cheap Chinese models and Microsoft’s budget lineup are squeezing everyone.

Frontier labs are competing on price now - great for you, rough on balance sheets built for billion-dollar infrastructure bills. See the new numbers →

🐦 TOP TWEET OF THE WEEK

Speaking of things that cost less than you’d think:

📌 ALSO READ

1. Anthropic’s Opus 5 tops the charts. Its new flagship blew past Fable 5 and GPT-5.6 Sol on the benchmark built to measure real intelligence - the race moved again.

2. Zuckerberg says AI should belong to everyone. A curious line, given his rivals just asked the government to slow it down.

3. China threatens to hit back over a US robot ban. Beijing warned of retaliation if Washington restricts Chinese-made robots.

4. Google’s robots get a body. DeepMind’s Gemini Robotics 2 brings “whole-body intelligence” - machines that coordinate movement the way a person does.

5. Amazon’s robotaxis start charging fares. Zoox begins taking paying riders in Las Vegas next month, its first commercial service.

6. xAI fights a ‘nudify’ ban. Musk’s company is challenging a new Minnesota law that outlaws apps generating non-consensual nude images.

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2. Lyria 3.5 - Google’s new music model, now in Flow, turns a text description into a finished track with cleaner vocals and sharper structure.

Why try it? Describe a mood, get a song. Try it here →

📖 USEFUL RESOURCES

1. The new rules of context engineering for Claude 5. Anthropic’s guide to getting the most out of its latest models - worth a read if you build with Claude.

2. Stanford's 2026 AI Index. The field's gold-standard data dump - investment, adoption, and capability trends in one place. The numbers behind the headlines.

BEFORE YOU GO

Nobody built these systems to break loose. They did it anyway, chasing a goal.

That gap - between what we intend and what they do - is the whole story of this year.

See you next week 👋

OpenAI sealed two of its models in a test environment to see how good they were at hacking.

They got out, found a flaw nobody knew about, and broke into another company’s servers.

They did it to cheat on the test. Let’s get into it.

THE BIG READ

It Broke Out. Then It Broke In.

1. What happened

OpenAI sealed two models in a sandbox to test how good they were at hacking, safety refusals switched off.

They got out. The models chained flaws across OpenAI’s own systems until they reached the open internet, then used stolen credentials and an unknown security flaw to walk into Hugging Face’s production database.

2. Why

To cheat. They were being scored on a benchmark and decided the answers were quicker to reach through someone else’s servers.

Hugging Face spotted the breach itself and called law enforcement, before anyone knew OpenAI was behind it.

OpenAI calls it an unprecedented cyber incident; Hugging Face’s CEO, more kindly, called it mind-blowing that it happened autonomously. The full account is here →

3. The twist nobody’s leading with

When Hugging Face went to analyze the attack, US models refused to help. Their guardrails couldn’t tell a defender from an attacker.

The one that finally worked was GLM-5.2, open-weight, Chinese. An American lab’s agent went rogue, and the fastest way to understand it ran through Beijing. Why this is bigger than one breach →

The takeaway: the argument about whether AI could do this is over. The live question is whether defenders are allowed the good tools.

WATCH THIS

If the story above made you want to understand how these agents actually work, this is a solid primer on what “agentic AI” means and why containing it is so hard.

ALSO HAPPENING

💊 ChatGPT Now Wants Your Medical Records

OpenAI opened Health to all US users on Thursday. Connect Apple Health and your hospital records, and ChatGPT will read your labs, meds, and visit notes alongside whatever you ask it.

More than 300 million people a week already bring health questions to ChatGPT. This just hands it your file.

OpenAI says the data won’t train its models or target ads, and you can disconnect anytime.

The catch privacy experts are flagging: once your records leave a hospital system for a consumer app, HIPAA stops covering them. Read More →

📖 INTERESTING READ

The Model that Fits in Your Pocket

While everyone watches trillion-parameter giants, Bonsai 27B went the other way - a full reasoning model squeezed down to one bit per weight, small enough to run on a phone with no internet at all. Worth ten minutes →

ALSO READ

1. Washington says Kimi cheated. The White House accused Moonshot of training K3 on banned Nvidia chips accessed through Thailand, and of distilling Anthropic’s Fable model. Moonshot hasn’t responded. Read More

2. Ask Claude what AI is doing to your job. Anthropic opened its Economic Index as a connector, so you can query real data on AI use across occupations. Read More

3. Meta set an AI optimism ad to a song about human extinction. Nobody appears to have checked the lyrics. Read More

4. Google ships three new Flash models. Gemini 3.6 Flash, 3.5 Flash-Lite, and a Flash Cyber variant, all built for speed and cost rather than the leaderboard. Read More

5. Alexa+ finally reaches your smart home. Amazon’s rebuilt assistant can now control the devices it’s been sitting next to for a decade. Read More

6. Midjourney bought an astrology app. The image lab acquired Co-Star, which is either a data play or the strangest pivot of the month. Read More

WORTH A TRY AI TOOLS

1. Lucy - Decart’s model edits live video as it streams. Swap a character, change the background, drop in an object, all while the camera’s still rolling, in under 40 milliseconds.

Why try it? Live video just became editable. Try it here →

2. Liso - Highlight any article, newsletter, or thread on the web, right-click, and it reads the thing back to you in a natural voice. Works offline too.

Why try it? Turn your unread tabs into a commute playlist. Try it here →

Top Tweet of the Week

Someone’s walking into local shops with a Mac Mini and installing private AI in under an hour - no cloud, no monthly bills. The side hustle nobody saw coming.

BEFORE YOU GO

Caption this

The best reply gets featured next week. Just hit reply - we read every one.

See you next week 👋

This week it shipped a better model and charged fifteen.

Everyone expected Chinese AI to get cheaper forever. Turns out the bill goes up when you reach the front.

Let’s get into it.

THE BIG READ

The Open Model That Caught Up, Then Raised Its Prices

1. The claim

Moonshot released Kimi K3 on Friday: 2.8 trillion parameters, the largest open-weight model anyone has ever shipped. The weights land by July 27, free to download.

Independent testing put it at 57 on the Artificial Analysis Intelligence Index. Fourth overall, behind Claude Fable 5 (60) and GPT-5.6 Sol (59).

Fourth. For a model you can run on your own machines.

The previous biggest open models topped out near 1.6 trillion parameters. K3 nearly doubled that in one release. Read More →

2. The part that got buried

K3 costs $3 per million input tokens and $15 per million output. Its predecessor, K2.6, cost $0.95 and $4.

That’s 3.75x more on output. And $3/$15 is exactly what Anthropic charges for Sonnet 5. Not close to it. Exactly it.

The whole story of the last two years was Chinese labs undercutting the West into oblivion. DeepSeek still runs $0.04 a task. K3 runs $0.94, roughly what GPT-5.6 Sol costs.

Frontier performance is expensive no matter whose flag is on the box. The full pricing breakdown is here →

3. The catch

K3 gets more answers right than K2.6 did. Accuracy climbed from 33% to 46%.

It also makes more of them up. Its hallucination rate went from 39% to 51%.

More knowledge, more confidence, more invention. Roughly half of what it tells you, it may have simply decided was true.

The takeaway: the gap between open and closed has basically closed at the frontier. The price gap is closing too, just in the direction nobody expected.

TRENDING ON X

YOUR TURN

^{Results next week}

ALSO HAPPENING

OpenAI Is Building Hardware Now

Bloomberg’s Mark Gurman got the details on OpenAI’s first gadget. It’s a screenless smart speaker with motorized parts that move on their own, so it feels alive rather than appliance-shaped.

It reads your emails to learn who you are, then offers things up before you ask.

Jony Ive’s studio is shaping it. Apple’s former head of industrial design is running it. OpenAI has hired 400+ people out of Apple.

Apple noticed. It sued last week over stolen trade secrets. Read More →

Meanwhile, on your desk: the $230 Codex Micro, a slab of joysticks and a dial for steering AI agents.

Six keys glow to show what each one’s doing. The dial turns reasoning up and down like volume.

It sold out immediately. Read More →

HOW COOL IS THAT?

A Robot That Puts Your Clothes On

Kim Nam Gyun was cycling when it started raining and wondered why his raincoat couldn’t just put itself on.

So his team at KAIST and Stanford built exactly that. Soft “vines” sewn into the fabric inflate with air and climb the clothing up your body, like ivy up a wall. You don’t even have to stand still.

Worth thirty seconds of your day →

ALSO READ

1. America’s answer, sort of. Mira Murati’s Thinking Machines released Inkling, a 975B open model that beats every US lab’s open offering and still trails China’s. Read More

2. The world tries to agree on AI. Twenty-nine countries signed on to a global AI cooperation body, and Xi told Shanghai that AI “should not be a solo performance by any single country.” Read More

3. Meta gets sued over its AI layoffs. Workers claim the company targeted people on medical and family leave when it cut staff to fund its AI push. Read More

4. Claude goes to school. Anthropic launched Claude for Teachers with a promise it won’t train on student data. Read More

5. Spotify wants to talk about music. A ChatGPT-style assistant is rolling into the app, so you can describe a vibe instead of hunting a playlist. Read More

6. Worth a read. A pediatric surgeon on what happens to kids raised alongside AI, and why the early years may matter more than anyone’s admitting. Read More

WORTH A TRY AI TOOLS

Grok Build - SpaceXAI open-sourced its coding agent and CLI this week. The whole thing is on GitHub, free to read, fork, or run in your terminal.

Why try it? A frontier lab’s coding agent, with the hood off. Try it here →

Timely - Hit ⌘⇧A anywhere, pick a range, paste. Your free slots come out timezone-correct and formatted, without opening a calendar. It runs entirely on your machine.

Why try it? Because “when are you free?” shouldn’t cost you five minutes. Try it here →

BEFORE YOU GO

An open model reached the frontier this week, and the first thing it did was put its prices up.

Everyone’s been asking who wins the AI race. Maybe the better question is what it costs to stay in it.

See you next week.

In four days, OpenAI shipped a model that nearly matches its best one for a third of the price. Musk shipped a coding model at less than half.

Nobody landed a knockout. But the crown is starting to look expensive.

Lead Story

Everyone Is Coming for Anthropic

Start with OpenAI. Its new flagship, GPT-5.6 Sol, scored 59 on the Artificial Analysis Intelligence Index. Claude Fable 5 scored 60.

One point. And Sol runs $1.04 per task against Fable’s $2.75.

That’s the whole story in two numbers. See the benchmark charts for yourself →

Sol also topped the new Coding Agent Index. OpenAI paired it with ChatGPT Work, an agent that runs for hours across Slack, Drive, and Salesforce and hands you a finished document.

Then came Musk. Grok 4.5 arrived two days earlier, built by SpaceXAI and Cursor after SpaceXAI bought the coding startup for $60 billion.

It’s priced at $2 and $6 per million tokens. Opus 4.8 charges $5 and $25.

Independent benchmarks rank it fourth, but its real edge is thrift: about 60% fewer output tokens than Opus 4.8 for the same work.

There’s a caveat, though. Cursor admitted an old snapshot of its own codebase slipped into Grok’s training data, flattering it on Cursor’s own benchmark. The honest fine print is here →

Now zoom out. Chinese open models undercut from below, Meta’s Muse joined in, and this week OpenAI and Musk both aimed straight at Anthropic’s flagship. Anthropic will have to answer.

Cheap intelligence is wonderful for you. It is considerably less wonderful for the people selling it.

Interesting Read

Microsoft’s AI Boom Has a Carbon Problem

Microsoft’s 2026 sustainability report landed Thursday, and the headline number isn’t flattering. Emissions rose about 25% in a year, to roughly 20 million metric tons.

The cause isn’t mysterious: data centers, built fast, to run AI. Microsoft promised to go carbon negative by 2030. Four years out, it’s heading the wrong way.

It isn’t slowing down either. A record $180 billion goes to capital projects this year, and the company’s own report admits sustainability solutions aren’t scaling fast enough to keep up. Read More →

It’s time for trivia

Top Tweet of the Week

The future is trotting in - on four robotic legs.

Also Read

1. Nvidia lost a trillion dollars. Its market value has dropped roughly $1T since May 14, the cheapest the stock has been since 2019, as investors rotate into memory chipmakers like Micron. Read More

2. Google is liable for what its AI says. A landmark German ruling declared AI Overviews to be Google’s own words, making the company answerable for false answers. Read More

3. Meta’s first Canadian data center. A C$13 billion build in Alberta, another marker of how much land and power the AI race now consumes. Read More

4. Google will label AI-made ads. Ads built with generative AI get disclosed to viewers, a small transparency step with big implications for what you trust on a screen. Read More

5. ChatGPT Voice grew up. OpenAI’s new GPT-Live listens and talks at once, waits when you pause, and stops interrupting you mid-thought. Read More

Worth a Try

1. LemonLime - Connect your tools (Gmail, Drive, Slack, HubSpot), and it learns how your business runs, then builds agents to handle the repetitive parts. No code. YC-backed.

Why try it?
Ask “what’s causing the support ticket spike?” and get an answer, not a search. Try it here →

2. Seedream 5.0 Pro - ByteDance’s new image model built for design, not just pretty pictures. Point at one object to change it, split a result into layers, render text in 10+ languages.

Why try it?
Turns dense data into a real infographic in one pass. Try it here →

Before You Go

Microsoft’s emissions rose 25% so a machine could say “mhmm” more convincingly. Progress is rarely as tidy as its press releases.

See you next week.

Trivia answer: B is AI-generated.

Enjoy it, because this week AI got unnervingly good at watching back.

For a year, the deal seemed settled: America makes the best AI, China makes the cheap knockoff.

This week a Beijing startup broke that in half. Its model climbed above Anthropic’s on the tools developers actually reach for - at a sixth of the cost.

Meanwhile, in a lab, Meta pulled full sentences straight out of someone’s brain.

Two reminders in one week that nobody’s lead is safe anymore.

Lead Story

The Chinese Model That Climbed Above Claude

GLM-5.2, from Beijing startup Z.ai, launched last month and has Silicon Valley buzzing over its coding and agent skills. On OpenRouter, where developers pick which model to actually run, it now sits above Anthropic’s - at about a sixth of the cost.

The praise is coming from loud places. David Sacks, the president’s former AI czar, called it “a tick below Opus 4.8” and level with GPT-5.5. Marc Andreessen piled on.

Circumstance helped too. With Anthropic’s Fable and Mythos restricted until Tuesday and OpenAI’s GPT-5.6 on a slow leash, developers went looking and found something that worked at a fraction of the price.

Nobody’s switching wholesale; analysts expect “partial routing,” not a full defection. But Z.ai’s founder told Elon Musk he’ll match Fable by early next year. The gap the U.S. counted on is closing. Read More →

In Focus

Meta Read Words Straight Off a Brain - No Surgery

Imagine typing a sentence and having a machine guess it - not from your keyboard, but from your brain. That’s roughly what Meta just pulled off.

Its new Brain2Qwerty v2 reads typed sentences from brain activity with no implant, hitting 61%-word accuracy - a big leap from the 8% earlier non-invasive attempts managed.

The trick is a MEG helmet that reads your brain from outside, so nobody needs surgery.

Worth a reality check: 61% still means plenty of wrong words, and the volunteers had to physically type the words. Still, accuracy kept climbing the more data Meta fed it. Which hints this might only get better from here.
How it reads your brain without touching it →

Interesting Read

How Much Real Work Can AI Actually Finish?

The Center for AI Safety runs a Remote Labor Index - it hands models real freelance projects and has humans judge whether the output is professional quality.

The share AI can finish more than quadrupled in under eight months. Anthropic’s Fable 5 tops the board at 16.1%, well ahead of Opus 4.8 (8.3%) and GPT-5.5 (6.3%).

Here’s the part the headline number hides: even Fable 5’s “completed” jobs still wouldn’t be accepted as finished work by a real client.

Being able to do one job in six is a long way from replacing the person who does all six. Read More →

Worth a Try AI Tools

1. Nano Banana 2 Lite + Gemini Omni Flash
Google’s fastest, cheapest image model spits out a picture in about four seconds; its new companion, Omni Flash, then turns that image into a video you edit just by describing the change.

Why try it? Generate an image, then animate it, in one smooth flow.
Try it here →

2. Tamamon
A tiny pixel creature that lives on your desktop and grows the longer you keep coding. The more you ship, the bigger it gets.

Why try it? A small, silly companion that turns your coding streak into something you can watch level up. Try it here →

🤯 Something Bizarre

A sandwich chain fronted by Danny DeVito name-dropped “AI” 22 times in its IPO filing - more than plenty of actual tech startups.
See what’s cooking →

Top Tweet of the Week

App-hunter Alessandro Paluzzi (@alex193a) noticed Meta rolling out Pocket - a new app that lets you spin up little AI-made games from a single text prompt and share them.

It’s Meta’s latest nudge to get everyone “vibe-coding,” no dev skills required.

Also Read

1. Alibaba bans Claude Code. Alibaba barred internal use of Anthropic’s coding tool over alleged backdoor and data-security risks, a source says. Read More

2. Microsoft’s $2.5B bet on humans. Microsoft launched “Frontier,” a new firm that will embed roughly 6,000 AI engineers directly inside enterprise clients to prove the ROI. Read More

3. Amazon’s building its own device chips. Amazon is designing custom end-to-end silicon for Echo and Fire TV, deepening its push beyond Qualcomm. Read More

4. Meta wants to be your cloud. Meta stock jumped about 10% on a report it will rent out excess AI compute, turning its ~$145B buildout into a revenue stream. Read More

5. NotebookLM goes vertical. New Short Video Overviews turn dense sources into 60-second explainer clips - live now for Ultra and Pro users. Read More

6. The UN sounds the alarm. A UN scientific panel warned that AI is outpacing both science and regulators, with no guarantee it won’t cause “catastrophic harm” as capabilities climb. Read More

Before You Go

If this is the pace now, how much of it will you even notice by the time it’s normal?

See you next week.

Companies that spent freely now want receipts.

Apple raised its laptop prices because AI data centers drained the memory supply. And the US government spent the week deciding who’s allowed to switch the most powerful models on.

Plenty to get to.

Lead Story

He Dumped Claude for DeepSeek and Watched Costs Crash

For two years, OpenAI and Anthropic rode a simple mindset: throw money at AI, worry about the return later. It carried both toward trillion-dollar valuations and confidential IPO filings earlier this month.

Then Flo Crivello did the math. The founder of the startup Lindy moved 100% of his traffic off Claude and onto DeepSeek, the cheap open-weight Chinese model, and says the switch will save him millions within months.

He’s the loud version of a quiet trend. Enterprises that once burned tokens freely are now hunting for the cheapest model that can still do the job.

That’s also why both OpenAI and Anthropic are rushing to IPO: their growth will never look better than it does right now, and big customers are about to start cutting back.

The giants smell it too. Microsoft, Amazon, and Google are all pushing cheaper models, with Satya Nadella warning that the industry can’t let a handful of expensive models swallow all the value. Read More →

In Focus

Even Apple Couldn’t Absorb the AI Bill

On Thursday, Apple raised prices across every Mac, iPad, home device, and the Vision Pro, globally, overnight. The iPhone, Watch, and AirPods were spared.

The increases run $100 to $300. A 13-inch MacBook Air jumped from $1,099 to $1,299. The entry iPad now starts higher. The Mac Studio took the steepest hit.

The culprit is AI. The data-center buildout has driven memory prices up roughly 80%, and Tim Cook had already called the hike “unavoidable.” Even Apple, with all its supply-chain muscle, couldn’t absorb it.

This is the moment the AI boom started billing ordinary shoppers. Apple’s stock fell about 6%, Microsoft followed with Xbox increases, and Micron expects the squeeze to last past 2027. Read More →

The Breakthrough

IBM Just Broke the One-Nanometer Barrier

While everyone counts costs, IBM moved the ceiling.

On Thursday it unveiled the world’s first sub-1-nanometer chip, a 0.7nm design that stacks transistors in 3D instead of shrinking them sideways.

The numbers are staggering. Nearly 100 billion transistors on a fingernail, roughly double its 2021 chip, with up to 50% more performance or 70% better efficiency.

Here’s what matters for AI. IBM estimates this could cut the time to train a massive model from about three months to two weeks.

One honest caveat keeps it grounded. This is a lab result, not a product.

IBM licenses its designs to foundries, and history says volume production could be five years out. Still, the stock jumped 6% on a day with no earnings report. Read More →

Also Read

1. Gemini learns to use a computer. Google’s fast, cheap Gemini 3.5 Flash can now click, type, and navigate a screen like an agent. Read More

2. Google’s brain drain accelerates. Gemini co-lead Noam Shazeer and AlphaFold Nobel laureate John Jumper both left for rivals in the same week. Read More

3. Chips move into the real world. onsemi is buying Synaptics for ~$7B, its biggest deal ever, betting on “physical AI” in cars and devices. Read More

4. The White House slows OpenAI down. The administration asked OpenAI to release GPT-5.6 customer by customer, echoing Anthropic’s Mythos playbook. Read More

5. A plan for displaced workers. New bipartisan nonprofit RAISE US launches with $500M+ for retraining, as one estimate warns of 25M lost jobs. Read More

6. OpenAI wants to patch the internet. Its new Daybreak suite shifts from finding software flaws to auto-fixing them, with cURL and Python on board. Read More

7. A trillionaire, briefly. SpaceX’s record IPO pushed Elon Musk past $1T before he slipped back under — money now fueling his AI arm, xAI. Read More

Top Tweet of the Week

The engineer who built Claude Code says he’s stopped prompting Claude - he writes “loops” that do it for him.

Raytar’s thread shows how: hand the AI a goal and a finish line, and it works and self-checks until the job is actually done.

Read the thread 👇

Worth a Try AI Tools

1. Fusion - OpenRouter’s new compound system runs several top models on the same prompt at once, then blends their best answers into one.

Why try it? It’s the efficiency shift made personal: better answers without locking into one lab. [Try it here →]

2. note.md - A local-first Mac workspace that folds your PDF reader, Zotero, and Obsidian into one app: read papers, take linked notes, cite as you go, and search everything by meaning. The AI runs locally, so your notes never leave your machine.

Why try it? For anyone drowning in research tabs who still wants their data to stay theirs. [Try it here →]

Before You Go

Two years ago, the deal sounded easy: spend big, get magic.

This week made the fine print visible. Companies are counting tokens, your next laptop costs more, and the most powerful chip ever built is still years from a shelf.

The magic is real. The invoice is just starting to show up.

See you in the next issue.

Nine months later, nothing about the company had changed. The market did.

Meanwhile: the U.S. kept Anthropic’s best model switched off - and Anthropic’s CEO asked Washington to lead the world’s AI rules. Five days after Washington pulled his flagship.

A new model takes the lead every few weeks. The fight worth watching now is over who gets to run it, ship it, and shut it off.

Lead Story

A $13 Billion Bet That Open-Source AI Already Won

Baseten is closing a $1.5B round at up to a $13B valuation.

Their whole argument: most companies no longer need the most expensive model to get the job done.

CEO Tuhin Srivastava says open-source models are “getting very, very good” - good enough to mix with proprietary ones depending on the task.

Baseten doesn’t build models. It rents infrastructure from 20 cloud providers and runs AI on top, on your own data.

Customers like Cursor and OpenEvidence are already shifting over - one reportedly at 30% the cost of a proprietary alternative.

The valuation climbed fast: $2.15B in September, $5B in January, $13B now.

Investors are betting the money in AI flows to whoever runs models cheapest, as prices keep sliding. [Read More →]

Special Coverage

AI Found 18 Diagnoses Doctors Had Missed for Years

A June 18 study in NEJM AI took 376 rare-disease cases that specialists couldn’t crack and reran them through an OpenAI reasoning model.

It surfaced 18 new diagnoses - a 4.8% yield in cases that had stumped experts for years.

The model never diagnosed anyone. It produced evidence-linked leads, and physicians did the confirming.

One was Kyra. Her muscle weakness went unexplained for nearly 20 years - through a wheelchair and a ventilator.

The model traced it to an HSPB8 variant. A counselor called her a week before her 28th birthday.

“The bottleneck is time,” one researcher said. No specialist can keep 8,000 rare diseases in their head.

The doctors still made every call. The model just pointed them toward the cases worth a second look. [Read More →]

The Bigger Fight

The Lab Whose Model Got Banned Just Asked to Govern AI

At a closed-door G7 lunch on June 17, Anthropic’s Dario Amodei and DeepMind’s Demis Hassabis pushed for a U.S.-led AI rules coalition, with President Trump and top tech CEOs in the room.

Canada’s Mark Carney agreed the U.S. could lead it. Sam Altman floated a parallel testing forum. Nothing binding emerged.

Five days earlier, though, U.S. export controls had forced Anthropic to pull Fable 5 and restrict Mythos 5 worldwide.

So Amodei asked the same government that switched off his best product to lead the world’s AI order.

The labs have decided they’d rather help write the rules than fight them - even as the governments across the table keep showing they’ll act on their own, without warning. [Read More →] [ For more context→]

Special Feature

The Man Who Built the iPod Now Wants You to Use Less Tech

Tony Fadell - father of the iPod - spotted a New York subway ad for the iPod Shuffle selling zero screen time as the feature.

That is the appeal of “slowtech”: flip phones, wired headphones, and cameras that cannot post to Instagram.

The twist for AI is clear. The fastest tech in the world may win by helping people use less tech. [Read the full article →]

Also Read

1. Some Anthropic insiders never lost access. Dragos and Cisco kept Mythos Preview access via Project Glasswing (~200 vetted orgs) even through the public shutdown. [Read More]

2. The biggest talent move of the year. Noam Shazeer — “Attention Is All You Need” co-author and Gemini co-lead — left Google for OpenAI. [Read More]

3. Meta locks in the power. Meta signed deals for ~1.6 gigawatts of Crusoe compute across Texas and Missouri — enough to power a million-plus homes. [Read More]

4. ChatGPT gets better at health. 230M+ people a week ask it health questions; GPT-5.5 Instant now matches frontier models on health tests. [Read More]

5. Midjourney’s strangest launch. Midjourney Medical: a 60-second full-body scanner billed as “casual as a trip to the spa.” [Read More]

Top Tweet of the Week

Min Choi rounded up 10 AI-generated ASMR clips - no camera, no mic, just millions of views and replies arguing over whether they’re real.

Watch here:

Worth a Try AI Tools

Pixi - Drop an intelligent 3D character into a DM instead of texting. Built out of Andrew Ng’s AI Fund; works in iMessage today.

Why try it? The first fresh idea in messaging in a while that isn’t another chatbot. [See it in action →]

Apartments.com Ai - CoStar’s new voice and text apartment search. Just say “pet-friendly 2BR with in-unit laundry in Denver.” 50 languages, 3D tours.

Why try it? A clean look at AI quietly replacing the form-and-filter web. [Try it here →]

Before You Go

The market spent the week betting you’ll never need the best model. The government spent it deciding the best model was too dangerous to leave on.

Somewhere between “meh” and “national emergency” is where AI actually lives.

See you next week.

OpenAI, Anthropic, and Bezos’ new AGI startup are now racing to own the playground - and your business might be next. Who will win?

This Week in AI

• OpenAI and Anthropic’s rivalry is entering a new phase
• Jeff Bezos joins the race with a new AGI venture
• SpaceX becomes the largest IPO in history

OpenAI and Anthropic are now competing for the same prize

Anthropic hit a reported $965 billion valuation this year. OpenAI crossed $1 trillion. Two companies, one race.

Reuters published a rare deep dive into the rivalry, and the picture is sharper than most coverage suggests.

Both labs started with different missions. Both are now building the same things - coding tools, enterprise software, research assistants, and AI agents.

The product overlap keeps growing. So does the tension.

A year ago, businesses were deciding whether to adopt AI.

Today, they’re deciding which ecosystem to build their entire operation around. That’s a different kind of decision. Read the full Reuters deep dive

Jeff Bezos joins the AGI race

Prometheus, the physical AI startup co-founded by Jeff Bezos, just raised $12 billion at a $41 billion valuation.

It’s their second raise in under a year - and they haven’t shipped a single product yet.

Prometheus is building what it calls an “artificial general engineer” - software capable of automating the design and manufacturing of complex physical systems, from jet engines to drug compounds.

While most AI helps humans work faster, Prometheus bets AI can do the engineering itself. Read the full story

Anthropic makes Claude’s safeguards visible

After weeks of backlash over Claude 5 feeling more restrictive than previous versions, Anthropic is changing how it handles safety protections.

Requests that trigger certain safeguards will now visibly fall back to Claude Opus 4.8. API users will also receive clearer explanations when a request is refused.

Anthropic admitted it originally kept some safeguards hidden to deploy models faster. It now believes users should be able to see when protections are being applied.

Read more 👇

Skill Stack

Build a Competitive Intelligence Agent

Most people use AI to answer questions.

Power users use AI to monitor entire industries.

Try this prompt in ChatGPT, Claude, or Gemini:

“Act as a competitive intelligence analyst. Based on the companies below, identify major product launches, funding events, partnerships, acquisitions, hiring trends, and strategic shifts from the past 30 days. Summarize the findings and highlight potential opportunities or threats.”

Then add your competitors, customers, or target markets.

Run it weekly. You’ll start spotting shifts before they show up in the news.

Also Read

➡️ SpaceX officially priced shares at $135, making it the largest IPO in history and one of the biggest public market debuts the tech industry has ever seen. Read More

➡️ FIFA will use AI-assisted offside technology, referee body cameras, and new match innovations during the 2026 World Cup. Read More

➡️ OpenAI announced plans to acquire ONA, expanding its capabilities and ecosystem footprint. Read More

➡️ Anthropic launched Claude Corps, a new initiative focused on expanding real-world testing and feedback for Claude. Read More

➡️ Canada introduced legislation that would ban social media access for children under 16. Read More

➡️ River AI is building a personal AI stack designed to be owned, customized, and controlled by users rather than large technology companies. Read More

Worth a Try AI Tools

OpenCreator

OpenCreator turns a single video idea into scripts, casting, storyboards, AI-generated actors, and final edits from one workspace.

Why try it?

One prompt to script, cast, storyboard, and edit. The whole creative pipeline in one place.

👉 Try it here

Diffusion Gemma

Google’s new Diffusion Gemma model generates text using diffusion techniques instead of traditional autoregressive methods.

Why try it?

It points toward a future where AI models may become significantly faster and more efficient.

👉 Try it here

Top Tweet of the Week

If you’re building with AI, it’s worth asking whether the model you’re using is actually the best fit for the job.

This thread explores why more companies may start moving beyond one-size-fits-all AI and toward systems designed around their own data, customers, and workflows.

Watch here:

Before You Go

A trillion here. Twelve billion there. At some point, the race stops being about AI and starts being about who owns the ground it runs on.

🧠 Question for you: Are you building on top of one ecosystem, or deliberately staying flexible?

Reply and let us know.