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The document introduces GPT-5.3-Codex, heralded as the most capable agentic coding model to date. It integrates advanced coding performance with enhanced reasoning and professional knowledge capabilities from previous GPT models, operating 25% faster. This new model excels at long-running tasks involving research, tool use, and complex execution, allowing interactive steering akin to collaborating with a colleague. Notably, GPT-5.3-Codex played a significant role in its own development, with early versions assisting in debugging training and managing its deployment. It sets new industry benchmarks on evaluations like SWE-Bench Pro and Terminal-Bench, demonstrating the ability to build complex applications and games from scratch. Beyond coding, it supports the entire software lifecycle, including debugging, deployment, and even general professional knowledge tasks like presentations and data analysis. This marks a substantial progression towards a single, general-purpose agent capable of reasoning, building, and executing across the full spectrum of real-world technical work, further enhanced by real-time interactive capabilities. #GPT53Codex #AI #AgenticAI #CodingModel #SoftwareDevelopment #MachineLearning #OpenAI #AIassistant #SelfImprovingAI paper - https://openai.com/index/introducing-... subscribe - https://t.me/arxivpaper donations: USDT: 0xAA7B976c6A9A7ccC97A3B55B7fb353b6Cc8D1ef7 BTC: bc1q8972egrt38f5ye5klv3yye0996k2jjsz2zthpr ETH: 0xAA7B976c6A9A7ccC97A3B55B7fb353b6Cc8D1ef7 SOL: DXnz1nd6oVm7evDJk25Z2wFSstEH8mcA1dzWDCVjUj9e created with NotebookLM