OpenAI said it has fixed a batch of quality issues that surfaced after Astra went live, with the problems tracing back to legacy Skills, an experimental context management setup, and misconfigured inference engines. One of the more serious bugs came from older Skills built for previous models, which were frequently triggered by mistake on Astra and in some cases prevented the model from checking its own work. Another issue was tied to a context management experiment that could cause Astra to stop too early or reply to earlier messages instead of the latest one. OpenAI said it has shut down that experiment and estimated that 4,000 to 5,000 users were affected. The team also removed a group of inference engines with incorrect configurations that dragged down model quality. After the fixes, OpenAI said Astra should do a better job following the latest instructions and checking its own work. The company also said it will give users another reset.
OpenAI said it has fixed a batch of quality issues that appeared after Astra launched and will give users another reset.
One of the more notable problems came from legacy Skills. Some Skills built for earlier models were being triggered mistakenly on Astra on a frequent basis, and in some cases they prevented the model from checking its own work.
A separate issue came from a context management experiment. OpenAI said the experiment could cause Astra to stop early and, at times, reply to older messages. The company has turned off that experiment and estimated that 4,000 to 5,000 users were affected.
The team also removed a number of inference engines with incorrect configurations that were lowering model quality.
After the fixes, OpenAI said Astra should be more stable in following the latest instructions and checking its own work. The company also announced another reset for users.
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