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  1. 2026-09-13 The Verge AI

    OpenAI just wants to win

    OpenAI claims to have solved the Navier-Stokes equation, one of the Millennium Prize Problems, but the way it got there has infuriated mathematicians. The company says it took about 10,000 agents and tens of millions of dollars in compute over 88 hours, and once it learned NYU professor Tristan Buckmaster and Anthropic researcher Levent Alpöge were closing in on the same problem, it offered Buckmaster near-unlimited compute and sole authorship of its paper, but not Alpöge. Buckmaster called the offer a "bribe," rejected it, and went public with concerns that his own Codex prompts from working the problem may have been fed back into OpenAI's training.

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  2. 2026-09-12 TechCrunch AI

    OpenAI's feud with mathematicians is only escalating

    NYU professor Tristan Buckmaster publicly questioned whether OpenAI took research he'd co-developed using Codex and published it as its own proof of the Navier-Stokes equations. He said OpenAI pressured him over how collaborator credit would be listed, and OpenAI subsequently withdrew its sponsorship of a Caltech math event. In an open letter, 25 Fields Medal winners warned that proofs are being announced in a rush with no time for proper verification, and that AI-generated ideas never become part of the mathematical canon without mathematicians willing to refine them.

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  3. 2026-09-11 The Verge AI

    Mathematicians want proof OpenAI didn’t use their work

    German mathematician Andreas Thom accused OpenAI of unethical conduct, saying the company's recent breakthrough on non-sofic groups may have drawn on unpublished work by him and a colleague. He says OpenAI researchers only answered whether his ChatGPT conversations were directly accessible, not whether they entered the vast pools of training data, calling it the same kind of evasive denial OpenAI gave when announcing its Navier-Stokes solution.

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  4. 2026-09-11 The Decoder

    OpenAI's GPT-Live-1 API lets developers build apps that talk and listen at the same time

    OpenAI released GPT-Live-1, an API version of the voice model already used in ChatGPT, for developers. It scored 80.1% on a full-duplex interaction test, meaning it can listen and speak at once, far above the previous model's 45.4%, and cut turn-taking latency from 1.4 seconds to 0.8. It costs 5 cents per minute, and Yelp is already using it to handle phone reservations.

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  5. 2026-09-10 MIT Technology Review AI

    What OpenAI’s latest controversy tells us about the future of math

    OpenAI said on September 9 that an unreleased model solved the Navier-Stokes existence and smoothness problem, a Millennium Prize Problem that had stood unsolved for 87 years, in just 88 hours using a swarm of 10,000 AI agents. A day earlier, NYU mathematician Tristan Buckmaster and Anthropic researcher Levent Alpöge had already published a proof of a simplified version of the same problem. Buckmaster says an OpenAI researcher warned he would ruin his career by going public with what happened, while OpenAI denies training its model on Alpöge's unpublished work.

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  6. 2026-09-09 Wired AI

    OpenAI Just Claimed a Huge Math Discovery. Some Academics Are Crying Foul

    OpenAI announced on September 8 that an internal AI model had solved the existence and smoothness problem for the Navier-Stokes equations, a 200-year-old fluid-dynamics problem and one of the seven Millennium Prize Problems, each worth $1 million. The company says it began training the model on August 28 and used as many as 10,000 agents over more than 50 hours before landing on a Lean-formalized proof. NYU mathematician Tristan Buckmaster says he and Anthropic researcher Levent Alpoge had been working toward a related result first, and that OpenAI rushed to the same approach after learning of their progress.

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  7. 2026-09-09 Ars Technica AI

    Update to Google’s AI weather model improves forecast accuracy

    Google unveiled WeatherNext 3, an update to its AI weather forecasting model. Unlike prior versions that relied solely on six-hourly reanalysis snapshots, the new model ingests raw satellite data directly and updates forecasts hourly. Google's white paper reports roughly a 5 percent accuracy gain for upper-atmosphere conditions, equivalent to about six more hours of reliable forecast lead time, and up to 30 percent better accuracy for surface temperature and dew point at specific locations.

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  8. 2026-09-09 Google DeepMind Blog

    AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome

    Google DeepMind released AlphaGenome Atlas on September 8, predicting the molecular impact of roughly 9 billion possible single-nucleotide variants across the human genome. The dataset spans 1 petabyte, more than 30 times larger than the AlphaFold Database. Its 'AVI score' reduces each variant's impact to a single number, covering not just the 2 percent of the genome that codes for genes but the remaining 98 percent of non-coding regions too.

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  9. 2026-09-08 AI Times

    OpenAI's GPT-6 Astra clears 3D puzzle game Portal without human help

    OpenAI's GPT-6 Astra completed the 3D puzzle game Portal from start to finish without any human controlling it. Game creator cozyblaze posted video of the run on X on September 5; it took about $571 in API costs, roughly 24 hours, and 3,336 tool calls. It's the first time a general-purpose AI agent has autonomously finished a 3D game that requires spatial reasoning.

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  10. 2026-09-08 TechCrunch AI

    Opaque recurrence, and other AI terms that you should probably know

    TechCrunch published a glossary of 36 frequently used AI industry terms, including AGI, hallucination, chain-of-thought, and mixture of experts. It noted that OpenAI's new GPT-6 Astra model uses a technique called "opaque recurrence" that has raised concern among safety researchers. The glossary is maintained as a living document that gets updated over time.

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