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@SystemsAppr@discuss.systems

2026-09-22 00:54 UTC

While our primary focus is getting our various book projects out the door, it's been impossible to avoid reading about various developments in the world of LLMs. Two stories in the last couple of weeks prompted our latest newsletter, which is all about how we choose (or don't choose) tasks for an LLM to tackle: https://systemsapproach.org/2026/09/21/robot-overlords/ 🧵 1/n

Replies (1)

  • @SystemsAppr@discuss.systems 2026-09-22 00:55

    First up, the Navier-Stokes equation controversy. Terrence Tao has written extensively and eloquently on this, and we're not going to improve on the statement he co-authored with 25 Fields Medal winners: https://terrytao.wordpress.com/2026/09/11/a-severe-misalignment-of-ai-in-mathematics/ Just as using an LLM to do homework doesn’t help a student learn the topic at hand, nor is the solution of maths problems using LLMs necessarily a useful endeavor. To quote the joint statement: "In recent months, the success of AI in solving major mathematical problems has made headlines even outside mathematical circles. But solving problems is only a tool and proxy for achieving the primary goal of conceptual understanding and insight. Forgetting this in the world of AI may turn the tool against the primary goal." 2/n

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