Codex Founder Tibo: GPT-5.5 Performance Decline Issue Has Been Fixed
Codex founder Tibo stated that the team has identified and fixed two issues that caused a decline in GPT-5.5's capabilities in Codex over the past 48 hours.
The team is currently monitoring the situation, and Tibo will reset usage limits tonight. He apologized to users and mentioned that it is now time for "/fast maxxing" (full sprint).
In market dynamics, developers are accelerating tests of the repaired Codex performance, shifting funding and attention from the affected AI coding tools to the optimized stable version. This fix is driving capital towards the OpenAI and Codex joint ecosystem, with user losses due to short-term performance fluctuations quickly recovering.
Source: Public Information
ABAB AI Insight
Tibo's quick response and issue identification reflect the Codex team's high-frequency iteration capability following the integration of GPT-5.5. Short-term performance fluctuations in large models in real product environments are common and usually related to load, caching, or fine-tuning. Rapid fixes within 24-48 hours are standard operations for top AI product teams.
In terms of capital flow, OpenAI and Codex are focusing resources on model stability, monitoring systems, and dynamic management of usage limits, motivated by the need to maintain developer trust and high-frequency usage habits, ensuring Codex's position as the primary coding agent is not affected by short-term fluctuations.
ABAB News · Cognitive Law
The iteration speed of top AI products is never zero-fault, but rather the fastest repair after a fault. When the founder publicly states "Apologies + now is the time for /fast maxxing," the product is rapidly evolving. True user loyalty is not about having no issues, but about the team's ability to resolve problems within hours.