AI agents have bad taste in long-term decisions and a new benchmark proves it

A new benchmark called Taste-Bench evaluates how well AI agents make strategic choices during long-running tasks. The best model, GPT-5.6 Sol, selects the correct path on just under 60 percent of simple binary questions, and extended thinking does not improve performance.