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That's less LLM and more three projects by DeepMind team.

And it's far from commercial availability.




Well to me personally it at least proves something that's long been touted as impossible, that the current architecture can in fact do better than all humans at novel tasks, even if it needs a crutch at the moment.

An LLM-based system now holds the SOTA approach on several math problems, how crazy is that? I wasn't convinced before, but now I guess it won't be many decades before we view making new scientific advancements as viable as winning against stockfish.


Yeah, but those rely on setting up the evolve function. And they aren't well guaranteed to be better than humans. They might find you an improvement, but aren't guaranteed to do as shown here[1] (green means better, red means worse, gray means same).

[1] https://youtu.be/sGCmu7YKgPA?t=480


Last I checked, humans weren't guaranteed to do anything either.


Sure, but they have one thing that makes them better than CPUs, they consume more ;)




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