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@VictorTaelin

Something about this kind of prompt is simply unfathomable to LLMs. They just can't perform better than chance, and I'm not sure why. Most people will dismiss this as just being "hard math stuff", but it is not, I swear. It is just alien to you because it is *niche*, thus, it… https://t.co/R9j73R0wAC

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                            "text": "Something about this kind of prompt is simply unfathomable to LLMs. They just can't perform better than chance, and I'm not sure why.\n\nMost people will dismiss this as just being \"hard math stuff\", but it is not, I swear. It is just alien to you because it is *niche*, thus, it looks scary. But, once you're fluent on the λ-Calculus, this is a very easy routine coding task. If you had a 1-week course with me, you'd be able to solve this too, and dozens of similar programs, that no LLM can. I promise you.\n\nLLMs can do surprisingly hard things. But not niche things.\n\nWhat makes this so frustrating and strange is that LLMs do know about the λ-Calculus. In fact, they know a lot about it. There are hundreds of papers about it in the training corpus. They know the jargon, they theory, the semantics. But they just can't code in it... because humans don't code in it. They know everything about the λ-Calculus, except how to use it. Because we don't.\n\nGPT-4 failed, Sonnet-3.5 failed, o1 failed, Gemini failed, o3 failed, and, now, Grok-4 failed. Yet, if only they had seen codebases written using the λ-Calculus, they wouldn't fail anymore. I could probably write a large λ-Calculus dataset, publish it, and the next LLM models would easily solve this prompt, and much harder ones.\n\nBut someone has to teach them how to use the λ-Calculus, and, so far, nobody did. That's the underlying issue: LLMs are perfect learners, but only for things that are explicitly taught. They can't learn what a human didn't teach them, and that's why they can't produce new science; after all, producing new science is learning about something of nature, without a human professor.\n\nThis is not a criticism, this is a reflection. How can we teach AIs to learn skills that are not explicitly taught to them? What is still missing, that even billions spent in RL-style post training wasn't able to fulfill?",
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                              "full_text": "@VictorTaelin honestly it's probably just syntax. see if you can reformulate it into a syntax that's closer to a functional programming language. probably haskell is where I would start, since I've heard LLMs struggle with sexps",
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                              "full_text": "@VictorTaelin Yeah they can, you just have to prompt it better.\n\nIdk wtf this is but I’ll make a prompt that works, just DM the contexts and details",
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