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>Because an LLM doesn't simulate the brain. That's pretty moot. You don't need a human brain anyone than a plane needs feathers and to flap wings to fly. >Fat
by famouswaffles 3y ago
>Because an LLM doesn't simulate the brain.
That's pretty moot. You don't need a human brain anyone than a plane needs feathers and to flap wings to fly.
>Fatigue isn't being modeled.
Instead, the predictive text as the result of that fatigue is being models.
Emotion is definitely being modelled. There's nothing random about anything that's happened.
Train on protein sequences alone and biological structure and function emerge in the inner layers alone. It doesn't matter that those things are not explicitly stated in the data. Because they implicitly structure it, it gets learnt.
https://www.pnas.org/doi/full/10.1073/pnas.2016239118 https://www.pnas.org/doi/full/10.1073/pnas.2016239118
Similarity, emotion is evidently being modelled to a high degree.
https://arxiv.org/abs/2307.11760 https://arxiv.org/abs/2307.11760
- stale2002 3y agoI don't think you addressed the main point. Do you agree that a simulation that uses a random number generator to flip a coin is different from a physics simulator that measures the exact physics of a coin flipping? And then after you answer this question, do to understand the parallels to other AI models?
- famouswaffles 3y agoYou can simulate things with different models. Sure. I don't think there's any point to address here though. It's not like you can ascertain what kind of model is being used for LLM predictions other than a hunch. Meanwhile I've given several examples. I can show another one of an Othello LLM constructing a state of the board of the game of Othello to aid predictions. https://thegradient.pub/othello/ https://thegradient.pub/othello/