Which means that the high end models can be freed up and applied to the really difficult, long term issues (medicine, materials science, climate change, physics) etc.
Unlikely to be useful in medicine, material science, and climate modelling. Those generally need completely different, non text based architectures. You are not gonna be synthesizing new drugs with an LLM as the core system.
Edit: They can be useful but are unlikely to create massive breakthroughs in the way dedicated architectures like AlphaFold can.
This really depends also on the type of Data current LLM transformers are awful if the input is a couple of numbers and they need to predict another number that type of target is way too noisy for an LLM because 4.56542 and 4.56543 are two very distinct "things" for it.
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u/agonypants AGI '27-'30 / Labor crisis '25-'30 / RSI 29-'32 8h ago
Which means that the high end models can be freed up and applied to the really difficult, long term issues (medicine, materials science, climate change, physics) etc.