A stochastic parrot with a sufficiently tiny residual error rate needs a stochastic model so precisely compressing the world and sophisticated decompression algorithms that it could be called reasoning.
Take two 4K frames of a falling vase, ask a model to predict the next token... I mean the following images. Your model now needs include some approximations of physics - and the ability to apply it correctly - to produce a realistic outcome. I'm not aware of any model capable of doing that, but that's what it would mean to predict the unseen with high enough fidelity.
Take two 4K frames of a falling vase, ask a model to predict the next token... I mean the following images. Your model now needs include some approximations of physics - and the ability to apply it correctly - to produce a realistic outcome. I'm not aware of any model capable of doing that, but that's what it would mean to predict the unseen with high enough fidelity.