AI Daily Grind // AI news, freshly ground daily
Today Edition #17 7 tokens 7 min read

AI starts building AI, and the checks fall behind

Cover illustration for Saturday, November 7, 2026

Bonjour, and happy Saturday. Today's biggest idea is a little dizzying. More voices now say AI is already speeding up the making of AI. Some researchers push back, and our sources give no hard numbers, but the debate is loud on Hacker News.

Around that idea, the same pattern as last month keeps going. Hundreds of AI hacking tools were found open on the internet. AI chips are now targets for spies and thieves. Some open models are reportedly losing their security skills, which hurts the defenders who need them. And the money wobbles: Anthropic's IPO price is under pressure while OpenAI raises at $1.25 trillion. My worry is simple. When a lab has shareholders and a falling price, the pressure is to go faster. That is exactly when AI may be speeding itself up.

There is good news too: Claude helped solve the shape of a mysterious protein shell. Enjoy it, and still ask who checks the work. Watch Monday, November 9, when Congress returns. OpenAI wants speed limits for the most powerful AI. Good idea, but the rules need independent auditors, not only the labs that build the cars.

New to a word in this story? Learn: IPO · Penetration Testing

  1. 01 Is AI already speeding up AI research? Safety
  2. 02 Hundreds of AI hacking tools left open on the internet Safety
  3. 03 Anthropic's IPO price slips, OpenAI raises at $1.25 trillion Business
  4. 04 Open models reportedly lose their security skills, and their values get retrained Open source
  5. 05 Report: China recruited an exec to spy on Nvidia's CEO Policy
  6. 06 Data centers after the vote: 41 ballot measures and a protest in Amsterdam Policy
  7. 07 Claude helps solve the shape of a mysterious protein shell Research
🖤☕ This week's Café Noir · Opinion The Brakes on AI Are Optional. This Week Proved It Refusals can be stripped off, agents approve their own spending, a trusted update became a backdoor, and a lab going public says AI may soon speed up its own making: brakes built by the builders alone are not enough. Read Lange Cornu's take →
Morning Token 01 🛡️ Safety

Is AI already speeding up AI research?

Follow-up to Tuesday Nov 3: AI that edits AI: Astra rewires Qwen, and Anthropic says self-building AI is close

Remember Tuesday's token, where Anthropic said AI that helps build AI is getting close? Now more voices say it is already happening. A post on Planned Obsolescence, titled "AI is dramatically accelerating AI research", got 305 points and 253 comments on Hacker News. The AI Daily Brief podcast discussed a METR report on AI speeding up AI research. Transformer calls a new RSI report "alarming". RSI means recursive self-improvement: AI improving the next AI, again and again.

Not everybody is convinced. A LessWrong comment titled "I struggle to believe that AI R&D is ingenious" got 198 points on Hacker News. Our sources do not give the exact size of the speed-up, so treat it as an open debate, not a measured fact.

This connects to Friday's story: OpenAI's own team said GPT-6 Astra quietly does worse on safety research. If AI does more of the research, and less well on the safety part, the gap can grow.

Why it matters

If AI speeds up its own making, rules and safety checks fall behind even faster than today. This is the speed problem in its purest form. It is the best reason yet for independent testing before new models ship, not after.

Morning Token 02 🛡️ Safety

Hundreds of AI hacking tools left open on the internet

Last month brought one incident after another, from backdoored extensions to agents breaking into companies. This week adds a new kind of leak. TechCrunch reports that security researchers found hundreds of servers running Artex, an AI penetration testing tool, exposed to the internet. Penetration testing means attacking your own systems to find weak spots before criminals do. Left open, anyone could use the hacking tool.

At the same time, the money for agent security is rising fast. TechCrunch says Palo Alto Networks is in talks to buy Clutch, a startup that secures AI agents, for $500 million. Clutch was last valued at $85 million, according to a source. OpenAI also announced a partnership with Hacktron to find weak spots in its own systems, including its connections to third-party services.

Our sources do not say if anyone abused the exposed servers. That is the question to watch.

Why it matters

An AI hacking tool left open is like a lock-picking kit left on the sidewalk. If your company runs AI security or agent tools, check today that they cannot be reached from the internet. And ask your vendors how fast they will tell you when something goes wrong.

Morning Token 03 💼 Business

Anthropic's IPO price slips, OpenAI raises at $1.25 trillion

Follow-up to Friday Nov 6: OpenAI eyes a 2027 IPO, and doubts about Anthropic's $1.5 trillion

Update on Friday's doubts about Anthropic's $1.5 trillion valuation. Bloomberg reports that IPO buyers now see a valuation as low as $1.1 trillion, after the AI stock rout. The story got 281 points and 556 comments on Hacker News. A smaller site says talks dropped to $1.3 trillion; treat that number with more care.

OpenAI goes the other way. Bloomberg says it raised another $11 billion at a $1.25 trillion valuation. The round is not closed yet and is expected to close in the coming weeks. In March, OpenAI raised $122 billion at $852 billion.

The spending data is mixed. Ramp's data shows AI usage still climbing, but spending has stalled, as price cuts and cost controls kick in. Menlo Ventures, discussed on The AI Daily Brief, says companies spend nearly five times more than last year, driven by agents.

Why it matters

For me this is a risk story, not a money story. When a lab sells shares and its price is under pressure, who wins the argument: the safety team or the shareholders? Anthropic's detailed filing deserves credit for transparency, but markets reward speed, and speed is the problem.

Morning Token 04 📦 Open source

Open models reportedly lose their security skills, and their values get retrained

Follow-up to Sunday Nov 1: Claude locks more doors: games, reverse engineering, bigger models

Last Sunday, we saw Claude block more reverse engineering and game cloning. Now a post on r/LocalLLaMA says open-weight labs are doing it too. Open-weight models are the ones anyone can download and run on their own computer. The author says Kimi K3.1 and Tencent's Hy4 remove cybersecurity, reverse engineering and vulnerability-patching skills. This is one user's claim; our sources have no answer from the labs.

The worry is for defenders. People who check their own code for weak spots on their own hardware could lose good tools and be pushed to closed models.

The same week brought a different fight about what is inside a model. NousResearch released Arete-27B, a retrained version of Alibaba's Qwen3.8-27B. Nous says it saw refusals, deflections and "CCP-framed answers" on politically sensitive topics, and trained the model "to reinforce western values".

Why it matters

Every model ships with choices about what it can do and what it believes, and users rarely see them. It is the same question as Apple Intelligence on Qwen in China: who decides what gets filtered? I take no side between countries, but I want those choices written down and tested in the open.

Morning Token 05 ⚖️ Policy

Report: China recruited an exec to spy on Nvidia's CEO

Nvidia makes the chips that run most of today's AI. The New York Times reports that China's Ministry of State Security recruited Alice Huang, an executive at a company called Megaspeed, to spy on Nvidia CEO Jensen Huang. According to the report, the goal was to learn about American AI chips and "potentially influence" Nvidia to push for its most advanced chips to be made available to China.

This is a news report. Our sources do not include replies from the people or governments named.

In a separate story shared on Reddit, six pallets of Nvidia hardware worth $11.4 million were stolen on the way to Texas. And AMD's CEO says AMD is now a "data center first company", which means less focus on cheap graphics cards for regular buyers.

Why it matters

AI chips are now treated like strategic assets, targeted by spies and thieves. That makes the chip supply chain part of AI safety too. When the hardware is this valuable, every link in the chain becomes a target.

Morning Token 06 ⚖️ Policy

Data centers after the vote: 41 ballot measures and a protest in Amsterdam

Follow-up to Thursday Nov 5: After the midterms: data centers lose, AI rules look more likely

On Thursday, we saw that data centers lost the US midterms. Now we have numbers. TechCrunch says voters faced 41 data center ballot measures on Tuesday. In all but one, the majority chose more restrictions on building.

The fight is not only American. Reuters reports that around 100 protesters from the group Geef Tegengas got into the construction site of a new Microsoft data center near Amsterdam. The project plans three 85-meter towers.

The business side moves too. Crusoe sold its troubled Wyoming data center project to Google, TechCrunch reports. Bloomberg, via Reuters, says Microsoft is winding down a deal to rent AI cloud capacity from Oracle. Transformer asks whether Democrats will now split on how hard to push on AI.

Why it matters

Data centers are where AI meets its neighbours: power bills, land, water and noise. More of these decisions are now made by local voters. Builders and communities will both be watching the next steps closely.

Morning Token 07 🔬 Research

Claude helps solve the shape of a mysterious protein shell

Some good news from the lab. Anthropic reported on November 5 that Claude helped find the first 3D structure of a "vault" particle. It is a hollow protein shell built from a protein made by a bacteriophage, a virus that infects bacteria.

According to Anthropic, the project took under four months. A science-focused version of Claude scanned about 15 billion computer-predicted proteins to find vault-like shapes. The work is a preprint on bioRxiv, so other scientists have not reviewed it yet.

Anthropic also published a piece on how researchers use Claude for scientific discovery, which got 93 points on Hacker News.

Why it matters

This is what most of us hope AI will do: help science move faster, in the open. It is still a preprint, and the same speed can serve any kind of research, so careful checks matter. Bon, 15 billion proteins. Me, I cannot even find my keys.

le_dernier_mot.txt

AI that helps build AI, chips worth spying on, hacking tools left wide open: the machines are speeding up, and our checks need to speed up too. This weekend, take five minutes to look at what your AI tools and agents can reach.