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Sunday, September 6, 2026 · Past edition · 2 stories

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OpenAI reports preliminary measures of how its researchers use coding agents.

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Research & academia
Research acceleration: The view inside OpenAI
OpenAI reports sharply rising coding-agent use, more experiments, and broader delegated tasks—but stresses that these indicators do not establish an equivalent increase in overall research progress.
Why it matters: For evaluating AI research acceleration, distinguish agent use and research activity from demonstrated progress: bottlenecks, compute, human steering, and safety restrictions can all shape the outcome.
Original · openai (new tab)Read
Research & academia
Research & academia
Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training

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Lead stories

Research acceleration: The view inside OpenAI

Research & academia

Online Draft Co-Training for Speculative Decoding in Large-Scale, Long-Context RL Post-Training

Keep notes on the stories you read