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Taste-Bench tests AI agents on long-term decision judgment
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On October 18, 2026, The Decoder reported Taste-Bench results on whether AI agents can judge long-term decisions. The benchmark used 502 two-choice questions and tested 14 models. GPT-5.6 Sol did best at 59.7% accuracy. The report says agents still struggle to tell good long-term decisions from bad ones; disclosed details cover question count, model count and the top accuracy.
Written by AI from the coverage · updated 1 hour ago
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Oct 18
- The DecoderAI agents have bad taste in long-term decisions and a new benchmark proves it
Taste-Bench 用 502 道二选一问题评测 AI 智能体的长期决策判断能力，14 个受测模型中表现最好的 GPT-5.6 Sol 准确率为 59.7%。
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