Taste-Bench benchmark reveals AI agents struggle with long-term decision quality

Taste-Bench tests 14 AI models on 502 long-term decision questions, showing even top models like GPT-5.6 Sol only achieve 59.7% accuracy, barely beating random guessing. The benchmark evaluates whether agents make quality choices at critical 'decision forks' before outcomes are revealed, highlighting a fundamental limitation in agent planning.