Unverified50% confidenceFactExact time
In METR's early 2025 trial, when AI use was allowed, task time actually increased by 19%, while developers had predicted beforehand that AI would speed them up by 24% and afterward still believed they had been sped up by 20%.
1
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50%
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Long-term
Relevance
10/18/2026
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Related Claims
UnverifiedOn July 10, 2025, METR published a randomized controlled trial: 16 senior open-source developers handled 246 tasks on real repositories, and after using AI tools they were actually 19% slower, despite prior expectations of a 24% speedup and post-hoc self-reported estimates of a 20% speedup.78% similarUnverifiedA study by METR found that senior engineers using AI for certain tasks were actually 19% slower, because time was spent on validation and correction.77% similarVerifiedA 2024 study indicates that even when AI-generated content accounts for only 10–20% of training data, measurable quality degradation can occur after multiple generations of training.72% similarUnverifiedCompared to the H100, the GB200 achieves a 30× improvement in energy efficiency and a 25× reduction in latency for AI inference tasks.72% similarUnverifiedAI能效16个月18倍折算为年化增速约为14-15倍，远超摩尔定律描述的年化约41%的传统半导体进步节奏70% similar
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