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We build approximations: we develop world models. That suffices. That the product is incomplete is just a matter of finiteness.
by mdp2021 2y ago
We build approximations: we develop world models. That suffices. That the product is incomplete is just a matter of finiteness.
- Melonotromo 2y agoWe build them as we do because we grow up in them first. AI gets trained on a lot of different worlds (books, stories, science, etc. )
- mdp2021 2y agoNo, that is irrelevant and false. False, because we also access sub-worlds - the world model is made of contexts -, like LLMs (not «AI»). Irrelevant, because for the intended purpose (reasoning over a reliable representation of the world) there is no need for an interactive stream - the salient examples of interaction, cause and effect, are provided by the dataset. A large perception model "LPM" will not be superior to a large language model "LLM" if its underlying system is not superior.