On SWEBench Pro, 68.5% of GPT 5.5’s failures were caused by broken or incorrect test cases, totaling 28.9% of the entire benchmark

Reddit r/ArtificialInteligence News

Summary

An analysis reveals that 28.9% of GPT 5.5's failures on SWEBench Pro are due to broken or incorrect test cases, and similar issues affect other major AI benchmarks, raising concerns about the accuracy of current evaluation methods.

[https://deepswe.datacurve.ai/blog](https://deepswe.datacurve.ai/blog) Its actual score should have been 86.7%. There were similar errors in other benchmarks too, including: * MMLU [https://arxiv.org/abs/2406.04127](https://arxiv.org/abs/2406.04127) * ARC AGI [https://www.reddit.com/r/singularity/comments/1hjjj5c/comment/m37bw8p/](https://www.reddit.com/r/singularity/comments/1hjjj5c/comment/m37bw8p/) * SpatialBench [https://x.com/YafahEdelman/status/2031178437243916509?s=20](https://x.com/YafahEdelman/status/2031178437243916509?s=20) * HLE [https://www.futurehouse.org/research-announcements/hle-exam](https://www.futurehouse.org/research-announcements/hle-exam) * SWEBench Verified [https://openai.com/index/why-we-no-longer-evaluate-swe-bench-verified/](https://openai.com/index/why-we-no-longer-evaluate-swe-bench-verified/) * GPQA [https://epochai.substack.com/p/gpqa-diamond-whats-left](https://epochai.substack.com/p/gpqa-diamond-whats-left) * FrontierMath: Tiers 1-4 (which was found by LLMs): [https://epoch.ai/frontiermath/tiers-1-4?view=graph&tab=release-date&tier=Core+%28Tiers+1-3%](https://epoch.ai/frontiermath/tiers-1-4?view=graph&tab=release-date&tier=Core+%28Tiers+1-3%29) Looks like even expert human benchmark creators hallucinate too. I guess that means humans are incapable of reasoning or consciousness 😔 I wonder how long until LLMs become so good that we don’t know how to measure them accurately?
Original Article

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