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Epoch AI had frontier models repeatedly play the board game Earthborne Rangers to test whether they improve with practice, and found GPT-5.5 and Claude Opus 4.8 both mismanaged its core fatigue mechanic at 2.1 fatigue per round, versus 0.6 for expert humans and 3.5 for purely random play
Verified 2026-09-20
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More on Models
- AI models can now win gold at the International Mathematical Olympiad, yet Stanford's 2026 AI Index found they still fumble a task most children master early. Across ClockBench's 180 clock designs and 720 questions, the top model, GPT-5.4 High, read analog clocks correctly only 50.6% of the time, versus 90.1% for humans
- Frontier AI models are catching up fast to benchmarks meant to resist them. A year ago they scored under 10% on Humanity's Last Exam, a 2,700-question test designed to be hard for AI and favorable to human experts. Now accuracy has reached 38.3% on Humanity's Last Exam, up from under 10% a year earlier
- AI agents attempting OSWorld's real-world computer tasks across Ubuntu, Windows and macOS — file operations, multi-app workflows — historically topped out at just 1% to 12% success. Stanford's 2026 AI Index reports the best model, Claude Opus 4.5, now reaches 66.3% accuracy, within 6 percentage points of the 72.35% human baseline 66.3% accuracy on OSWorld's real-computer-task benchmark