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.

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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 aha moment for reasoning models will come from computer use and robotics rather than from scientific discovery, because those are the infinitely verifiable playgrounds. DPDylan Patel3 Feb 2025similar wording
• Inference was never going to be the easy, cheap half of AI, because inference is thinking, and thinking is far harder than reading. JHJensen Huang23 Mar 2026similar wording
• Real reasoning will have arrived when spending more compute at inference time reliably buys a dramatically better answer. ASAravind Srinivas19 Jun 2024similar wording
• Humans barely use reinforcement learning for intelligence — what RL they do use goes into motor tasks, not problem solving. AKAndrej Karpathy17 Oct 2025similar wording
• Humans keep their place in AI as judges rather than authors, because telling which of two answers is better is far easier than writing a good one. NLNathan Lambert3 Feb 2025similar wording

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