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.

Added to korrents 7 Sept 2026 · How quotes work · Something wrong? Tell us

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• A verifiable task can be optimised by reinforcement learning until a neural network performs it extremely well. AKAndrej Karpathy17 Nov 2025reinforcement learning
• Capability does not generalise for free: a model that will move mountains on an agentic task still tells the same bad joke it told five years ago. AKAndrej Karpathy20 Mar 2026reinforcement learning
• Current models are unsafe because they are not smart enough, not because they are too smart. FCFrançois Chollet13 Sept 2026reinforcement learning
• Humans barely use reinforcement learning for intelligence — what RL they do use goes into motor tasks, not problem solving. AKAndrej Karpathy17 Oct 2025reinforcement learning
• It is fundamentally difficult to design a reward function that accurately captures the intended goal in reinforcement learning. LWLilian Weng28 Nov 2024reinforcement learning

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