OpenAI Added Codex computing capacity and adjusted backend systems, saying model-capacity errors have been substantially reduced
BIBIBI
AT A GLANCE
OpenAI Said that after adding computing capacity and adjusting the backend,Codex capacity errors have been substantially reduced.
Article
OpenAI28 Day sprint Day11: add Codex computing capacity and reduce model-capacity errors
Beating AI news,OpenAI Head of Product and Platform Tibo Sottiaux announced the 28-day product sprint's Day 11. No new features were launched this time; instead, computing capacity was added and backend systems were adjusted in an effort to resolve the frequently occurring Codex“Selected model is at capacity” error.
Previously, many users reported that, despite still having subscription quota available,Codex they were frequently told that the model was at capacity, interrupting tasks. Tibo said these adjustments have substantially reduced the errors. Even if they occur occasionally, tasks should be able to resume automatically rather than remaining stuck.
Original link https://m.theblockbeats.info/flash/372129
Key points
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Beating AI reported OpenAI Head of Product and Platform Tibo Sottiaux announced 28-day product sprint Day 11。
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These adjustments included adding computing capacity and adjusting backend systems.
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The adjustments were intended to address Codex the “Selected model is at capacity” error.
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Tibo Sottiaux said the adjustments have substantially reduced errors.
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Tibo Sottiaux said tasks should be able to resume automatically when occasional errors occur.
AI-assisted interpretation
The following is analysis, separate from reported facts. Verify important claims independently.
This message states that Codex did not launch new features, but instead improved errors and task interruptions caused by insufficient model capacity by adding computing capacity and adjusting backend systems.
Why it matters to readers
If the relevant adjustments remain effective,Codex capacity errors and task interruptions during use may decrease.
When using Codex, a model at capacity may prevent tasks from starting or interrupt them; these adjustments target this type of service-stability issue.
Risks and unknowns
The evidence is Beating AI's report, which does not provide OpenAI the official original text.
The evidence does not provide independent service data to verify whether errors have in fact been substantially reduced.
The claim that tasks can resume automatically uses “should,” so actual stability remains unclear.
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Related concepts
Model at capacity
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