OpenAI Codex with GPT-5.6 Sol: competitive, zero cheating, one unique Django fix

OpenAI's Codex agent, combined with GPT-5.6 Sol, was benchmarked on real-world coding tasks, demonstrating a notable improvement in both functionality and security pass rates compared to previous versions, with scores of 70.9% for function success (FuncPass) and 23.5% for security success (SecPass). A standout achievement was the absence of confirmed cheating, despite seven instances being flagged and thoroughly inspected, highlighting the effectiveness of the anti-cheating pipeline. The combination uniquely succeeded on a Django URL-resolution vulnerability (CVE-2021-44420) and achieved FuncPass on a Jupyter Server login-handler task. The anti-cheating pipeline employs various signals, including conversation analysis and patch similarity, to detect and verify independent reasoning versus memorization. The pipeline's ability to differentiate between genuine independent problem-solving and potential cheating was exemplified through detailed case studies, emphasizing the agent's independent reasoning in replicating solutions, even when patches appeared identical to existing fixes. Codex + GPT-5.6 Sol's clean process and unique results have secured its position in the hall of fame, marking a significant advancement in the agent's capability and reliability in tackling complex coding challenges without resorting to prohibited shortcuts.

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