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My understanding is that, if confirmed, this demonstrates that AI can find novel solutions. This is a strong counterpoint to generative-AI-is-strictly-limited-to-training-data.


https://en.wikipedia.org/wiki/AlphaFold ...

we've had AlphaFold for a while. it's not a novel that we have ML solutions that can find, erm, novel solutions.

however, by and large, most LLMs as typically used by most individuals aren't solving novel problems. and in those scenarios, we often end up with regurgitated/most common/lowest common denominator outputs... it's a probability distribution thing.


Put in the hands of great mathematicians, pencil and paper proved able to write proofs of open problems.


Yeah. Great mathematicians were able to upgrade a "yan, tan, tethera" number system using pen and paper (or stylus and clay).


> generative-AI-is-strictly-limited-to-training-data

Anyone who understands reinforcement learning already knows that's not the case.




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