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There are many examples of current limitations, but do you see a reason to think they are fundamental limitations? (I'm not saying they aren't, I'm curious what the evidence is for that.)

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It's because of how transformers work, especially the fact that the output layer is a bunch of weights which we quite literally do a weighted random choice from. My hunch is that diffusion models would have a higher chance of doing real reasoning - or something like a latent space for reasoning.

Thinking that LLMs are intelligent arises from an incomplete understanding of how they work or, alternatively, having shareholders to keep happy.

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