Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems — mentioned by Jorge1o1

Thu, 23 Apr 2026 23:36:08 GMT

While I agree with your sentiment, I just want to say that if your approach is to have the LLM read every file into context, or you're working in some gigantic thread (using the million token capacity most frontier models have) that's really not the best way to do it. Not even a human would work that way... you wouldn't open 300 different python files and then try to memorize the contents of every single file before writing your first code-change. Additionally, you're going to have worse performance on longer context sizes anyways, so you should be doing it for reasons other than cost [1].…

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Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems · HackerPapers discussions

Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems — mentioned by Jorge1o1