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“these solutions are announced in a rush, leaving no time for a proper writeup, the isolation of new methods & ideas, & citing relevant previous work of others. … We are witnessing a general threat to intellectual work, with misalignment between the outcome of the use of AI and its initial purpose.”

Terence Tao@teorth.bsky.social

A group of 25 Fields Medalists, including myself, have made a joint declaration on Math and AI: mathandai.org . We welcome additional signatories. See also this article in the Economist announcing the declaration: www.economist.com/science-and-...

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I applaud these kinds of declarations. Truly the disruptive effects from AI are being felt across multiple domains, and perhaps some more than others. But ultimately if AI gives an individual, company or entire county an economic and/or military advantage they will exploit it to maximum benefit.

This describes pre-existing misalignment in the metrics we set for ourselves vs what matters for our fields. Rewarded: authorship in glam journals, prize problems, citations, grants Matters: good mentorship, actual advances in field, negative results, thoughtful refereeing, knowledge synthesis...

This have been commented on endlessly but we've collectively chosen not to do much about it. So we get new tools, and we use that new capability and speed to turbocharge the gap between hitting rewarded metrics and headlines vs stewarding and growing the knowledge and capability of our field.

Maybe we'll use this opportunity to reflect on what really matters for our fields, and actually do something to change change how we allocate grants and prestige based on those insights! Not super optimistic though.

IMO This is the same as investment bankers not wanting tech to depopulate theyr sector. Humans feel they need to preserve the crafts that existed before tech. I’m not sure. I think that incumbent experts underestimate what future humans can do.

gonna be honest, I disagree with that second part. There is no misalignment between the outcome and initial purpose. The point of LLMs (at least those developed by companies like OpenAI and Anthropic), was *never* to aid humanity in research

Good for these experts. AI is changing our world faster and more unpredictably than any technology ever. It has tremendous potential for good and harm, and we know the worst thing we can do is forge ahead with no thoughtful oversight, yet here we are. We’re toddlers playing with loaded handguns.