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I’m generally a bit of an LLM skeptic, at least as concerns extravagant claims around “AGI” or self-improvement of any of that nonsense.

Of all the highly optimistic applications for 2024 LLMs, mathematics sounds pretty plausible?

You probably already know this, but I think it bears pointing out explicitly: in this context we're not talking (only) about LLM's. There's a LOT more to AI than just Large Language Models, and the list of resources linked reflects that.



I’m an advocate for shifting resources from pure-scale transformer work to other promising avenues in both representation and reinforcement learning.


Never going to happen until upscaling does not return easy gains.




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