Today's Hallucination HQA Machine Did Your Maths Homework. The $1 Million Homework.OpenAI mathematicians claim their AI has cracked the Navier-Stokes problem — one of seven Millennium Prize Problems, each carrying a $1 million reward and roughly a century of collective human failure. The equations describe how fluids flow, and whether they always behave or occasionally "blow up" into chaos. The AI says: sometimes blow up. Mathematicians are impressed, sceptical, and quietly panicking in roughly equal measure. The prize money remains unclaimed pending formal verification. Source: Quanta Magazine
Terence Tao Notices Something. This Is Worth Paying Attention To.Fields Medal winner Terence Tao — essentially the Lionel Messi of mathematics, but with better career longevity — has raised a quiet alarm: AI is consuming unsolved mathematical problems faster than the field can generate new ones. He calls it "non-renewable mining." The worry isn't that AI is solving maths. It's that once the interesting open problems are gone, the intellectual wilderness that mathematicians need to do their best work starts looking suspiciously like a car park. Source: Hacker News / Mathstodon
France Writes a Cheque. A Fairly Large One.Mistral AI has raised €3 billion at a €21 billion valuation — Samsung, Scaleup Europe, and PSG Equity leading the round — as "sovereign AI" transitions from political buzzword to actual business strategy. The idea: countries want AI infrastructure they control, not rented from California. France, which has opinions about cultural independence and has never once been shy about expressing them, is backing Mistral as its national champion. Whether this is visionary industrial policy or very expensive flag-waving remains, diplomatically, an open question. Source: TechCrunch
NeurIPS Used an AI Detector on AI Papers. It Then Flagged the People Running NeurIPS.NeurIPS — the world's most prestigious machine learning conference — used a proprietary AI detector called Pangram to automatically reject 178 papers, representing 18.4% of submissions, with no human review and no appeal. Researchers then ran the same detector on papers written by the track chairs themselves. It flagged those too, at rates between 24% and 69%. The organisers of a machine learning conference were, per their own tool, potentially writing like machines. The epistemological implications are left as an exercise for the reader. Source: r/MachineLearning
DeepMind Would Like a Word With Your DNAGoogle DeepMind has launched AlphaGenome Atlas, an AI platform designed to help scientists decode the human genome — mapping which parts of our DNA do what, and why things go wrong when they don't. The goal is to accelerate research into diseases that have resisted understanding largely because the genome is, to put it technically, extremely complicated. DeepMind has form here: AlphaFold already transformed protein science. If AlphaGenome lands similarly, the company will have quietly done more for human biology than most pharmaceutical budgets manage in a decade. Source: The Verge
The maths is solved, the genome is mapped, and a conference rejected its own chairs. Normal week, all told.
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