The aha moment for reasoning models will come from computer use and robotics rather than from scientific discovery, because those are the infinitely verifiable playgrounds.

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Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• The hypotheses AI 'co-scientist' systems are producing are ones the literature already contains, and the publicity around them does not say so. DLDerek Lowe27 May 2026similar wording
• Building at the AI frontier is science rather than programming: you pose hypotheses and invalidate them again and again. CBClay Bavor18 Aug 2025similar wording
• Reasoning is not taught to a model by people: it emerges from reinforcement learning on questions with checkable answers, with no human preference data at all. NLNathan Lambert3 Feb 2025similar wording
• Letting a robot imagine the next image helps, but it is not essential — the model was surprisingly good without it. CFChelsea Finn12 Aug 2026similar wording
• There is not yet a frontier foundation model robust enough for robotics. FLFei-Fei Li4 Sept 2026similar wording

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