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I think a lot of people don't abstract their brain model when they say "models a human brain", or they'd say "models biological intelligence", etc. Specificall
by benlivengood 2y ago
I think a lot of people don't abstract their brain model when they say "models a human brain", or they'd say "models biological intelligence", etc. Specifically, I don't think there are any human traits in LLMs other than having mostly been trained on human outputs. They see tokens and predict tokens; very different sensorium from humans. There aren't any specific corvid or cephalopod traits either afaik.
Biological brains don't use gradient descent and don't seem to use 1-hot encoding/decoding for the most part.
- lostmsu 2y agoHow about "hallucinations"? They are exactly what students produce during exams when they don't exactly know the subject: plausible sounding but internally incoherent sentences.
- echoangle 2y agoPointing out differences doesn’t mean it’s not a model, that’s what makes it a model and not a replica. Saying „A neural network is a model of the human brain“ doesn’t imply that it’s a direct simulation of the structure and scale of a human brain, it just means that the neural network is based on a simplification of how neurons in a brain work. That’s the entire claim.