Taste-Bench tests AI long-term decisions
What you need to know
Researchers introduced Taste-Bench, a 502-question benchmark that freezes agent trajectories at decision forks and asks models to choose the better of two paths. The best model barely beats chance. The benchmark targets long-term decision quality rather than single-step task success, but the coverage does not name the top model or give its exact score.
Generated by AI from the reporting · updated 22 hours ago
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- The DecoderTaste-Bench tests whether AI agents make good long-term decisions, and top models barely beat chance
Researchers introduced Taste-Bench, a 502-question benchmark that freezes agent trajectories at decision forks and asks models to pick the better of two paths. The best model.
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