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Briefings and ideas about Google DeepMind from AI podcast discussions and the research they cite, with links to the original sources.
Nvidia's Jensen Huang declared AGI achieved on September 6 as he announced more GPU capacity, and the Moonshots panel split on what the label means. OpenAI's figure of 3.1 agent research days per human day measures runtime, not finished work.
OpenAI says an internal model running about 10,000 agents for 88 hours produced a forced Navier–Stokes blowup construction with a Lean-checked proof. Moonshots panelists stressed it concerns idealized fluids and noted disputes over credit.
Gemini 3.7 Flash topped AA-AnalystAgent at 60% to Claude Opus 5's 54%. Alexander Wissner-Gross argued the score, which counts only questions solved on all five attempts, reflects reliability, not frontier capability.
Brian Greene argues AI could make Newton-scale discoveries, expecting it to excel at exploring options and linking fields while humans, for now, lead in inventing new frameworks. He sees collaboration reshaping physicists' role.