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OpenAI announced Monday that an internal model, training since August 28, has resolved more than 100 open mathematics problems, on top of a disputed solution to the Navier-Stokes Millennium Prize problem published just weeks ago. The company's own mathematicians say the pace of results surprised them. In response, OpenAI formed a nine-person Advisory Group on Mathematics and Artificial Intelligence, hosted at Princeton's Institute for Advanced Study, including Fields Medal winners Timothy Gowers and Martin Hairer. There's a catch worth noticing: the group can offer unsolicited advice and comment publicly, but OpenAI explicitly says it "will not be responsible for advising us on how to pace our internal progress on mathematics." The move follows 25 Fields Medal winners signing an open letter earlier this month, warning that AI labs racing to claim famous results are threatening the mathematical community's own work.

Meanwhile, Amazon just drew a hard line against Meta's new AI shopping agent, even as that same agent is quietly beating one of ChatGPT's own early records.

Here’s what happened in AI today:


• OpenAI formed a math advisory group after its AI solved 100+ problems, but the group can't slow the pace down.

• Amazon blocked Meta's Muse from shopping on Amazon.com entirely, after Meta declined to remove it voluntarily.

• Meta's Muse is outpacing ChatGPT's own early mobile download and usage numbers, in a genuine apples-to-apples comparison.

…and a whole lot more that you can read about below.

• OpenAI's AI Just Solved 100+ Math Problems

OpenAI announced Monday that it has formed the Advisory Group on Mathematics and Artificial Intelligence, hosted at Princeton's Institute for Advanced Study, made up of nine mathematicians including Fields Medal winners Timothy Gowers, Martin Hairer, and physicist Edward Witten. The announcement doubled as a disclosure: OpenAI says the same internal model that produced a disputed Navier-Stokes proof has since resolved more than 100 additional open problems across most areas of mathematics, a pace the company admits surprised its own team. The advisory group's job is to assess the significance of these results and help coordinate how and when they're released, and members are unpaid specifically so they can criticize OpenAI publicly without a financial conflict. But the group has no power over the thing mathematicians actually asked for: OpenAI states plainly that "the group will not be responsible for advising us on how to pace our internal progress on mathematics." The tension isn't new. Earlier this month, 25 Fields Medal winners signed an open letter arguing that AI labs racing each other to claim famous unsolved problems threatens the field's own research culture.

• Amazon Just Cut Off Meta's New AI Shopping Agent Entirely

Amazon began blocking Meta's Muse AI agent from shopping on Amazon.com on Sunday night, twelve days after Muse launched in the US, after Meta declined Amazon's request to voluntarily remove the retailer from the agent's shopping experience. Users now see a pop-up reading: "Continued access by an unauthorized AI agent violates Amazon's Conditions of Use." Amazon's stated concerns are specific: Muse doesn't identify itself as an AI agent while browsing, Meta never notified Amazon the integration was happening, and Amazon has raised questions about how the agent handles stored login credentials, something Meta disputes. The standoff is notable partly because the two companies are otherwise business partners, Amazon products are purchasable inside Instagram and Facebook, and Meta signed a multibillion-dollar deal in April to run its AI workloads on Amazon's own chips. This isn't Amazon's first fight over agentic shopping either: it previously sued Perplexity over its Comet browser agent and has separately blocked shopping agents from Google and OpenAI. Elon Musk weighed in publicly, predicting Amazon "won't be able to tell" AI agents from real human shoppers before long.

• Meta's New AI Agent Just Quietly Beat One of ChatGPT's Own Records

Meta's new AI agent Muse logged 1.8 million iOS downloads in the US and Canada during its first 12 days on the market, according to estimates from analytics firm Apptopia, compared with 1.3 million for ChatGPT over the same 12-day window after its own mobile debut. Daily active users tell a similar story: Muse hit roughly 359,000 daily iOS users in the US, versus ChatGPT's figures from the same point in its own launch. Over 95% of early Muse users are also Facebook users, and 63% use Instagram, suggesting Meta's built-in distribution across its existing apps is doing real work here, the same cross-promotion strategy that helped Threads reach 500 million users.

Today's Job Board

Senior Cloud DevSecOps Infrastructure Engineer | Readily
San Francisco, CA, US (Full-time)
Build the AI compliance platform for healthcare organizations.

Technical Solutions Engineer | Artos
San Francisco / Remote (US) (Full-time)
Help authors document life sciences work in minutes, not months.

Full Stack Engineer | Entangl
San Francisco, CA, US (Full-time)
Find and resolve issues in data center engineering and operations using AI.

Full Stack Software Engineer (Frontend-leaning) | Caribou
London, England, GB (Full-time)
Build the product for the autonomous tax firm handling filings end to end.

Founding Engineer | Finta
San Francisco, CA, US (Full-time)
Help magically simplify accounting and taxes.

Senior Software Engineer | Andromeda Surgical
South San Francisco, CA, US (Full-time)
Build autonomous surgical robots.

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Today's Money Moves 💸

A Startup That Builds Other Startups Raised $100M to Go All-In on Physical AI

Vantora, a company that builds and launches other startups, raised $100 million and is now focusing entirely on physical AI, betting that the next wave of AI value creation happens in robots and hardware, not just software.

Vals AI Raised $40M to Build Benchmarks Labs Can't Train Around

Vals AI closed a $40 million Series A led by Andreessen Horowitz at a $400 million valuation, building confidential, real-world professional benchmarks for law, finance, and coding after its revenue grew eightfold in a year.

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Skill of the Day

Let AI Build First, Then Hold It to the Rules

MIT researchers found something counterintuitive with a new method called HardFlow: forcing a model to follow every constraint while it's still figuring out the answer can actually make the final result worse. Their fix gives the model real room to explore first, then applies the hard rules only to the finished output.

You can run the same idea in your own prompts. Ask for the strongest possible answer first, with no constraints slowing it down. Then hand over your actual non-negotiables, word count, required facts, formatting, tests, safety rules, whatever genuinely can't bend. Have it check the finished answer against every single one of those rules and revise before it ever reaches you.

Prompt of the Day

The Build First, Enforce Second Prompt

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Solve this for quality first. Then run a separate final pass against these non-negotiable constraints: [RULES]. Fix every violation before giving me the final answer.

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