GPT-5.5 refactored an entire codebase while a developer grabbed a snack. That is the benchmark OpenAI is leading with, and it is not purely a stunt. NVIDIA AI researchers report a 10x speed improvement in running experiments using the model, which OpenAI positions as its most capable and intuitive release to date.
The detail worth reading for is in the researcher's own words: the model resolved an abstract, underspecified question with a concrete solution. That matters because most coding tools collapse on ambiguity. GPT-5.5 apparently does not. The Codex integration is the delivery mechanism here, handling background autonomous refactoring without step-by-step prompting.
What comes next is the real question. A 10x experiment throughput gain at NVIDIA is a specific, credible claim from a serious ML shop. If that number holds across other research environments, the productivity argument for GPT-5.5 stops being a demo and starts being infrastructure. The full announcement at openai.com has the technical specifics.
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