AI bug detection study finds format influences results more than model power

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An independent developer tested a small AI model's ability to detect a specific software bug in August 2026. The model identified the bug in 9 out of 10 attempts when the code was presented as a 'diff', but failed in all 10 attempts when analyzing raw source code. The researcher noted the test involved only one specific, seeded bug and a single small local model, limiting broader conclusions. They also emphasized that the AI's findings were never formally accepted by the review tool's own validation step.

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