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Terence Tao's observation highlights a critical shift where AI agents are rapidly consuming the frontier of mathematical problems, potentially creating scarcity that threatens the traditional model of open scientific collaboration. This dynamic suggests that the incentive structure for researchers may soon favor secrecy over sharing promising directions to prevent premature flattening by automated systems. The long-term viability of fields like mathematics and theoretical computer science now depends on how the community adapts to this new reality where AI acts as both a powerful accelerator and a disruptive force against open inquiry.
Source coveringSimon Willison
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Quoting Terence Tao

Simon Willison1 min read

I wrote recently about how the collection of good, fruitful open problems is now being mined in a non-renewable fashion, leading…

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