Analysis of telemetry data suggests that OpenAI's GPT-5.5 Codex model exhibits unusual clustering of reasoning tokens at specific values like 516, 1034, and 1552. This phenomenon correlates with a decrease in performance on complex tasks, indicating a potential bottleneck or a hidden mechanism within the model's reasoning budget. Researchers hypothesize this could be a system-level limitation rather than a natural distribution of token output, prompting further investigation by the development team. AI
IMPACT Potential system-level limitations in GPT-5.5 Codex could affect complex task performance and indicate a need for architectural review.
RANK_REASON Analysis of model behavior and telemetry data from a GitHub issue.
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