Value functions only make reinforcement learning faster: anything you can do with one you can also do without it, just more slowly.

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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.

• Learning from a reward ten years away is a solved problem: a value function trained by temporal-difference learning rewards the steps along the way. RSRichard Sutton26 Sept 2025similar wording
• The goal was never good simulation; it was answering counterfactuals, and a value function does that job as well as a simulator does. SLSergey Levine12 Sept 2025similar wording
• RLHF is not a tax on capability: preference tuning also raises maths and code scores, which is why the labs keep reaching for it. NLNathan Lambert3 Feb 2025similar 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
• The human value function is extraordinarily robust — addiction aside — which is why a person can judge their own performance at a skill they have only just started. ISIlya Sutskever25 Nov 2025similar wording

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