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Culture War Roundup for the week of February 27, 2023

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I'm not sure exactly what 'self-play' means. Some papers found improvements by training LLMs on their own chain-of-thought outputs, and others, where you're trying to find something like a math proof or a program, train models to generate output, and use the successful outputs as more training material. The latter feel like 'a million years of experience with performance tests', but still write trash python often.

I wouldn't expect a paper where LLMs were trained on performance of their own generated code, and maybe fed profiler results, to report that afterwards, the LLMs still wrote trash python. Part of the issue here is that the LLMs cannot seek out problems to resolve on their own; though we should maybe expect such breakthroughs to only happen shortly before the singularity.