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Richard Feynman: Can Machines Think?

Lex Clips · 2.5M views · 2019-11-26 · 18:27

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Overview

An excerpt of Richard Feynman's 1985 lecture Q&A about whether machines can think. He discusses the difficulty of defining what computers can never do and compares machine intelligence to machines that don't copy animals.

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HN uses it as an early authoritative take in debates about AI, reasoning, and AGI.

Recommended by 1 HN people across 1 months · HN mentions 2022–2025

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What people said

EGreg · 2024-10 · Recommendation

Relevant — decades earlier, Righard Feynman discussing AI like a boss. He discusses exactly the problems being solved in the article with the Haar approach, but from his time. He mentioned Lenat, who was the OG and who the “LeNet” by Yann LeCun was named after probably (it is mentioned in the article). [VIDEO]

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EGreg · 2025-11 · Reference

Nah. I don’t “feel the AGI”. I think the AGI is a silly quest, just like having a plane flap its wings. Feynman had it right in the 80s: [VIDEO] I think the future is lots of incremental improvements that get replicated everywhere and humans outclassed in nearly every field, where they stop relying on each other. As far as LLMs yes I think they are the best placed to know if some code or invention is novel, because of their vast training. Can be far better than a patent examiner, if trained on prior art, for instance. What you’re not used to is an LLM being fed stuff that you statistically / heuristically would expect to be average but is in fact the polished result of years of work. The LLM freaks out, you get surprised. You think it was the prompts. The prompts are changed, the END result is the same (scroll to the bottom). I want to see whether foundational LLMs can be used as a good first filter for dealflow and evaluating actual projects.

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lostmsu · 2025-10 · Reference

It hinges assuming that ChatGPT does not thinking, which is clearly false. Hell, Feynman said as much in 1985. [VIDEO]

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Video by Lex Clips, played through YouTube.

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