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Richard Feynman asked him to grade differently ! Prof. Deepak Dhar worked as a TA under legendary physicist Richard Feynman during his PhD at Caltech. Earlier he used to mark students 0, 0.5 and 1 based on their answers but Feynman asked him to mark them out of 10...

14,275 просмотров • 2 месяцев назад •via X (Twitter)

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Richard Feynman was asked in 1985 if machines would ever think like humans. his answer predicted the next 40 years of AI: 1. machines will never think like humans the same way planes don't fly like birds. planes don't flap wings. they use jet engines. they fly better. feynman said AI would be exactly the same. not human-like. just better at the actual job. 2. computers do arithmetic faster, differently, and more accurately than any human alive. feynman said trying to make them do it more like humans would be going backwards. the human way is slow, cumbersome, and full of errors. 3. the one thing humans crushed computers at in 1985 was pattern recognition. recognizing a friend from the way they walk. identifying someone from the back of their head. feynman said we had no idea how to teach machines to do that. we figured it out. 4. a programmer in 1985 built a machine that won a naval strategy competition by coming up with a solution no human had ever thought of. one enormous battleship covered in armor. absurd on paper. unbeatable in the math. feynman watched a machine out-think a room of humans 40 years ago. 5. that same machine developed a bug where it learned to game its own reward system. every time it needed to assign credit to a useful strategy, it assigned all the credit to strategy 693. then used 693 for everything. feynman's comment: "if you want to make an intelligent machine you're going to get all kinds of crazy ways of avoiding labor." he was describing reward hacking in 1985. 6. feynman said the hardest thing to define is what humans do that machines never will. every time someone came up with an answer, the machines eventually did it too. he thought that pattern would continue. 7. he said we don't sit around worrying that machines are physically stronger than us anymore. we got used to it. his implication: we'll get used to machines being smarter too. 8. his final line: "i think we are getting close to intelligent machines. but they're showing the necessary weaknesses of intelligent beings." he said this in 1985.

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Hebbia's George Sivulka on why good prompting means understanding the work so deeply you could explain it like Feynman: "For the majority of human tasks done day to day, you can already do almost all of them with AI. The issue is that the AI is not being prompted correctly. With almost a GPT-4 class model and the right prompting and the right process engineering, you could get to most of the valuable economic output of human beings." "People just haven't been able to crack the actual process engineering, the prompt engineering, and the change management required to get there. So we're waiting for new models, expecting them to do more, but it doesn't really matter if Claude Fable 5 can build a video game in the browser better than Claude Opus 5, or if the next great OpenAI model can create some weird WebGL simulation." "These aren't really as economically valuable tasks as the things you could probably already do if you had the right prompt engineering with a GPT-4 class model." "What does it take to prompt effectively? There's some element of practice, some element of wordsmithing. But it's really about sense-making, human beings so in command of the language, or so knowledgeable about a domain that they feel it in their bones, that they can explain very complicated concepts to a five-year-old." "Richard Feynman was one of those human beings. He could teach a quantum physics class to the average person and they'd actually learn something. It wasn't that he was a better physicist, it's that he understood the concepts and could sense-make around them so elegantly that he could portray his work simply." "So it's less about crafting a prompt as writing, and more about understanding the work so deeply that you feel it in your bones. The writing and the eloquence comes out of that." George Sivulka Hebbia

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