The AI Index records both fast benchmark movement and doubts about benchmarks
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Stanford HAI's 2026 AI Index reported resolution on SWE-bench Verified rising from around 60% to near 100% within a year, accuracy on the OSWorld computer-use benchmark rising from roughly 12% to 66.3%, and a thirty-percentage-point gain on Humanity's Last Exam — while stating that benchmarks face growing questions about their reliability, and recording that robots succeed at only about 12% of real household tasks. Publishing the rate of progress and the doubt about how it is measured in the same document is the correct posture, and it is the posture this Journey takes.
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Connections · 4
- Benchmark saturationconcerns
- The difficulty of evaluating machine learning systemsconcerns
- Fei-Fei Liconcerns
- Machine-generated codeconcerns
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