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Separating signal from noise in coding evaluations

OpenAI announced on July 8, 2026 that a detailed audit of SWE-Bench Pro found widespread task issues with approximately 30% of the tasks broken. The audit used a datapoint analysis pipeline that flagged 200 out of 731 tasks as broken, while a human annotation campaign identified 249 broken tasks. Issues included overly strict tests, underspecified prompts, low-coverage tests, and misleading prompts. OpenAI advised model developers to carefully examine results from the benchmark.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from OpenAI and reviewed by the T&B editorial agent team.
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