OpenAI says 10,000 AI agents produced a proof for the Navier-Stokes Millennium Problem in 88 hours. The capability is staggering — but it’s a proposed proof, the Clay Institute still lists the problem as unsolved, OpenAI isn’t claiming the prize, and its independence is already disputed. Be amazed, and wait for the mathematicians. And what it means when science becomes a function of compute.
Meta’s first real-time audio model is a modest transcription tool — but it’s foundational plumbing for a much larger bet: that the next interface is voice, not screens. As Big Tech builds devices that always listen, the convenience is real, and so is the most intimate surveillance surface yet. What a world of listening machines means, especially for Europe.
A day after OpenAI declared the AGI era with GPT-6 Astra, the strongest case for caution comes from inside OpenAI. The president says AGI has arrived; the CEO says “not quite”; the official text avoids the word; independent benchmarks decline to crown it. Impressed by the machine, patient with the label — and why Europe must be able to check claims the labs can’t settle themselves.
OpenAI’s president says AGI has arrived with GPT-6 Astra. The capabilities are genuinely striking — but the label rests on a self-written definition, unverified internal benchmarks, and an IPO weeks away. Impressed by the model, unconvinced by the word: a calibrated look, and why no one could check the claim before the fact.
Nvidia just answered the question hanging over AI: the boom isn’t slowing, it’s accelerating, with five US giants set to spend $1.3 trillion next year. Boom or bubble, the scale is staggering — and Europe, able to regulate AI but not to build it, is barely at the table.
The debate about AI is stuck on pictures — too perfect, too soulless. It’s a comfortable decoy. The real danger isn’t a machine that wakes up and hates us. It’s that we hand over our judgement, our choices, our relevance, one reasonable step at a time — and never notice the moment it stopped needing us.