According to Greg Brockman on Twitter, a detailed investigation by Thomas Sottiaux thoroughly examines recent reports of OpenAI Codex performance degradation. The analysis, based on empirical testing and user data, highlights measurable declines in code generation accuracy and reliability over time, raising concerns for enterprise adoption and developer productivity (source: x.com/thsottiaux/status/1984465716888944712). The report identifies specific regression points and suggests actionable areas for improvement, underscoring the importance of continuous model evaluation and robust monitoring frameworks for commercial AI APIs.