OpenAI has identified the reasons for the rapid consumption of Codex quotas and found three areas of additional consumption: the inefficiency of repeatedly compressing context in long conversations with images; excessive usage of the Computer History feature in high consumption scenarios; and the automatic generation of conversation titles exceeding expectations. The person in charge, Tibo Sottiaux, previously stated that no overall anomalies were found, and some users were directed to sub2api and subscription sharing, but later admitted that some users experienced a decrease in cache hit rates, leading to accelerated quota consumption. The investigation pinpointed issues within Codex itself. Context compression is used for long tasks, and the current process incurs additional waste during multiple compressions. The Computer History feature can bring selected app and web operation records from Mac into ChatGPT and Codex. OpenAI will push a fix on Sunday, U.S. time, and perform a complete reset of Codex usage for all paid subscriptions, expected to go live at 2 PM Pacific Time, corresponding to 5 AM Beijing time on August 24. The team has also found a new optimization plan, which is expected to be advanced next week.
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