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keedayesterday at 1:41 PM1 replyview on HN

My hunch (or intuition, hah!) is that intuition is an instinctive mental shortcut required to navigate large problem spaces that can’t entirely fit into our heads.

Maybe LLMs do not need intuition because they can scale their “cognitive capacity” with hardware and brute force their way through these problem spaces.


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fidotronyesterday at 3:20 PM

> Maybe LLMs do not need intuition because they can scale their “cognitive capacity” with hardware and brute force their way through these problem spaces.

My view is that is certainly true of smaller LLMs but becomes less true as they scale up.

To quote the parent bananaflag in a sub-comment:

> I believe the LLM weights have some internal representation of math in the same way brains do that allow them to produce proofs

I think as the sort of spare space adjacent to pure language processing in LLMs grows the probability of the sort of reasoning bananaflag is getting at (or spatial reasoning, or anything else) emerging in that space grows enormously.

One of the questions for AI development over the coming months or years is going to be if deliberately cultivating the architecture of those sub models for specific reasoning types beats any emergent reasoning mechanisms or not.

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