OpenAI Says 1,000 AI Agents Produced a Navier-Stokes Solution
The company says its result was formalized in Lean after a costly agent run. Mathematicians must still assess the proof as a dispute over provenance and credit unfolds.
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Latest episodeToday’s issue is about AI moving from outputs to workflows: OpenAI is refining iterative image edits, Meta is asking users to connect an agent to real services, and researchers are putting large predictive resources into practical hands. The through line is control—over a single image region, an agent’s permissions, or the experiments worth running next.
Today’s stories turn on the controls around AI, not just the models: DeepMind watched a grading flaw cascade through an agent swarm, while companies added guardrails around workplace writing, coding spend, and edited images. Google also expanded tests of AI-guided flight routing as its Saudi student offer gained a state-backed distribution channel.
This week, frontier models moved closer to production work—from coding and clinical charts to security operations—while the boundaries around autonomous action drew sharper scrutiny. What carries into next week is a practical test: whether access controls, human review, and deployment policies can keep pace with wider capability.
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The new lookup resource is meant to help researchers prioritize genetic leads, but DeepMind says its predictions remain hypotheses that require laboratory evidence.
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