OpenAI Codex and ChatGPT business head Tibo announced that usage limits for all paid users of Codex and ChatGPT Work have been reset, stating that the repaired equivalent quota can be used approximately 10% to 50% more depending on usage patterns.

The team reported that they processed thousands of reports overnight. The compression process retains old images in the context, which are large enough to trigger compression again, causing heavy image users' usage to decrease by about 10%. The background memory process inherits stop hooks but cannot end, affecting less than 1% of users, with extreme threads inquiring whether they could stop 15,000 times.

Target instructions sometimes continue running after completion or repeatedly retry damaged tools, with a single instance consuming 15% to 70% of the weekly quota. Some custom automations execute more frequently than set. Smaller models like Luna call stronger assistants when not explicitly requested; orchestration models run sub-agents in fast mode even when not in fast mode.

Old computer history may repeat summary overlapping activities, with some cases consuming one-fifth of the quota in a week. Regular rounds trigger additional rolling task summaries, increasing tokens by about 1%. Some MCP tool results were encoded twice, and tool descriptions were truncated before being fetched. The above issues have been fixed or closed, and architectural changes and duty alerts have been added to prevent recurrence. In-app usage direction display is still under development.

This is not the first reset this year. At the end of June, a reset occurred due to more proactive automatic reviews, increased sub-agents, and excessive retries after backend suggestions failed, along with an additional quota gift; in July, after the launch of ChatGPT Work and new models, another double reset occurred due to high computing power defaults being insufficiently transparent, changes in desktop information architecture, and multi-agent rollbacks. In mid-August, when Codex active users reached 20 million, users were given a self-service accumulation reset and an investigation into converting subscriptions to interface traffic for redistribution was conducted.

In market mechanics, buyers are paid developers coded by weekly quotas, while sellers are laboratories stacking agents, compression, memory, and tool calls on the same bill. The event was driven by reports from users consuming quotas too quickly. Funds still flow in through subscriptions, while idle tokens directly consume gross profit and GPU time. Beneficiaries are paid users whose quotas are taken by background tasks, while the burden falls on the design of agent products lacking billing transparency.

Source: Public Information