AI & Machine Learning

The Plausible PR: I Gave 4 LLMs 10 Sneaky Refactors, and They All Missed the Same Bug

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A new benchmark, "Plausible PR," has revealed that leading large language models struggle to identify subtle security vulnerabilities hidden within seemingly innocuous code refactorings. The benchmark, which tested Claude Sonnet 5, GPT-5.5, Gemini 3.7 Flash, and DeepSeek-R1, found that all models missed the same critical bug: a change that introduces a crash when handling unusual input. This highlights a limitation in current LLMs' ability to reason about code behavior beyond keyword recognition, suggesting a need for more targeted prompts and improved understanding of edge cases.

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