A new benchmark called Taste-Bench evaluates how well AI agents make strategic choices during long-running tasks. According to the report, the best-performing model, GPT-5.6 Sol, selects the correct path on just under 60 percent of simple binary questions. The benchmark also finds that longer reasoning does not improve these decisions.
It gives readers a concrete new benchmark and a specific result showing that strong models still struggle with long-horizon strategic judgment.
A new benchmark called Taste-Bench tests how well AI agents make strategic choices during long-running tasks. Even the best model, gpt-5.6 Sol, picks the right path on just under 60 percent of simple binary questions. Thinking longer doesn't help.
The article AI agents have bad taste in long-term decisions and a new benchmark proves it APPeared first on The Decoder.
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