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OpenAI launched GPT-5.3 Codex, achieving a record 77.3% on Terminal-Bench 2.0. Following Anthropic's...
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OpenAI launched GPT-5.3 Codex, achieving a record 77.3% on Terminal-Bench 2.0. Following Anthropic's...

The AMW Read

Updates the OpenAI case study by signaling a pivot from raw scaling to hardware-software co-design (GB200 optimization), validating the shift toward efficiency-driven frontier models.
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Foundation Models · Case StudiesScaling LawsSilicon Substrate
OpenAI
OpenAI

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OpenAI launched GPT-5.3 Codex, achieving a record 77.3% on Terminal-Bench 2.0. Following Anthropic's Claude Opus 4.6, the model prioritizes efficiency with 2.09x fewer tokens and 25% faster speeds. By optimizing for GB200-NVL72 architecture, OpenAI enables real-time steering of tasks without losing context. This pivot from raw scaling to hardware-software co-design marks a critical evolution toward sustainable, agentic AI systems. 🚀💻

#OpenAI #GPT5 #AICoding #AI

How This Connects

Based on Foundation Models · Case Studies

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  6. 5mo agoOpenAI launched GPT-5.3 Codex, achieving a record 77.3% on Terminal-Bench 2.0. Following Anthropic's... · THIS ARTICLE

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