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

A new benchmark called Taste-Bench, reported by The Decoder, tests how well AI agents make strategic choices during long-running tasks, and the top-performing model, GPT-5.6 Sol, selects the correct path on just under 60 percent of simple binary questions. Giving models more time to think does not improve their performance on the benchmark.

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 https://the-decoder.com/ai-agents-have-bad-taste-in-long-term-decisions-and-a-new-benchmark-proves-it/ appeared first on The Decoder https://the-decoder.com .