Decision criteria have to come from logical cause-and-effect understanding, not from data-mining what worked before, and not from asking an AI what to do.

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• Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful. CFChelsea Finn12 Aug 2026
• Systematising principled decision-making with AI is now the line between staying competitive and not; there is no position in between. RDRay Dalio10 Jun 2026
• The ideal environment for decisions is a human-in-the-loop decision surface, not a machine that makes the call. TLTobias Lütke15 Sept 2026
• A decision cannot be judged by its outcome, because good decisions fail through no fault of the decider and bad ones succeed by luck. GKGary Klein9 Aug 2022
• 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 2025

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