>We study a frontier LLM in its purest inference regime - a single generation pass over a prompt containing the full training and test data, with no tools, no agentic scaffolding, and no fine-tuning
Sigh. So this is somewhat interesting niche academic research but utterly irrelevant to real-world use cases.
So the best way to run a controlled trial is to maximize the external noise and confounding variables?
I find that an odd take. The paper claims to establish what causes the problem: dimensionality. They are clear in that they don't understand why. But this sort of work is what needs to be done to eventually solve the problem.
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And written by an LLM, to boot.
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