Measuring AI Ability to Complete Long Tasks
Kwa et al., 2025, Measuring AI Ability to Complete Long Tasks (arXiv preprint arXiv:2503.14499)
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2.2 Baselining
- How were task lengths measured?By timing skilled professionals (software, ML and cybersecurity, about 5 years’ experience on average) without task-specific context: over 800 attempts totaling 2,529 hours. A task’s length is the geometric mean time of successful attempts; 21 tasks without baselines used researcher estimates.
- Kwa et al., 2025, Measuring AI Ability to Complete Long Tasks (arXiv preprint arXiv:2503.14499), §2.2
Source
- Thomas Kwa, Ben West, Joel Becker, Amy Deng, Katharyn Garcia, Max Hasin, Sami Jawhar, Megan Kinniment, Nate Rush, Sydney Von Arx, Ryan Bloom, Thomas Broadley, Haoxing Du, Brian Goodrich, Nikola Jurkovic, Luke Harold Miles, Seraphina Nix, Tao Lin, Chris Painter, Neev Parikh, David Rein, Lucas Jun Koba Sato, Hjalmar Wijk, Daniel M. Ziegler, Elizabeth Barnes and Lawrence Chan. 2025. Measuring AI Ability to Complete Long Tasks. In arXiv preprint arXiv:2503.14499. https://arxiv.org/abs/2503.14499