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this post was submitted on 23 Nov 2024
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I believe that the current LLM paradigm is a technological dead end. We might see a few additional applications popping up, in the near future; but they'll be only a tiny fraction of what was promised.
My bet is that they'll get superseded by models with hard-coded logic. Just enough to be able to correctly output "if X and Y are true/false, then Z is false", without fine-tuning or other band-aid solutions.
Seems unlikely as that's essentially what we had before and they were not very good at all.
If you're referring to symbolic AI, I don't think that the AI scene will turn 180° and ditch NN-based approaches. Instead what I predict is that we'll see hybrids - where a symbolic model works as the "core" of the AI, handling the logic, and a neural network handles the input/output.