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The impact extends beyond mathematics. We have seen some pretty positive outcomes for LLMs as an assistant for scientists - with a lot of custom agent dev though - and not off-the-shelf models.

This is already being used by a few hundred scientists in a lab. We are aiming to extend to thousands next year with a focus on CS, climate & bio.

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I think this readership would be highly interested by anything hundreds of serious scientists are doing in serious work.

Can you share any details?

Thanks! Most of the current work is not yet out as press or blogs - we generally do that post code release/ publications/ arXiv submissions. Will share them as they are made public.

Meanwhile, this is the blog of our earliest work from January that will be published in ICML24: https://blog.allenai.org/data-driven-discovery-with-large-ge...

Also if you are interested - happy to correspond more by email. Lot more to share privately.

https://arxiv.org/pdf/2402.00159

MIT, the Steel Factory, Cal, UDub and what, 37 authors pushed a preprint and no one heard about it?

@dang I can’t be the only one who has had it on this GPT-5 test flight shit. I don’t care how many clean Azure IPv4 blocks Altman has, throw this motherfucker out.

Haha, I think it was covered at HN. But did not get as much attention as it should have.

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