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I have opposite view - LLMs have many similarities with humans. Human, especially poorly trained one, could have made the same mistake. Human after amnesia cou
by Sankozi 6mo ago
I have opposite view - LLMs have many similarities with humans. Human, especially poorly trained one, could have made the same mistake. Human after amnesia could have found similar reasons to that LLM.
While LLM generate "plausible text" humans just generate "plausible thoughts".
- 9dev 6mo agoJust because it sounds coherent doesn’t mean it is. You can make up false equivalence for anything if you try hard enough: A sheet of plywood also has many similarities with humans (made from carbon, contain water, break when hit hard enough), but that doesn’t mean they are even remotely equal.
- Sankozi 6mo agoI didn't write they were equal. I wrote they are similar in many ways. Comparing LLM to humans make much more sense than comparing them to computer programs.
- 9dev 6mo agoOnly if you don’t really know anything about biology, biochemistry, psychology, or cognitive science. Transformer algorithms are amazing, but they are still algorithms running in silicon chips. We can describe them, we can debug them, hell we can model them in Excel if we so desire. None of this is true for brains, let alone consciousness.
- Sankozi 6mo agoWe are not talking about "transformer algorithms" we are talking about LLMs. And we don't know exactly why they work so well. If you do please share it with the world, lots of scientists would love to hear about it. As for consciousness I have yet to see a definition that would describe something observable and exclude LLMs at the same time.