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[ARTICLE · art-152249] src=the-decoder.com ↗ pub= topic=artificial-intelligence verified=true sentiment=↓ negative

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.

by read1 min views1 publishedOct 18, 2026

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.

source & further reading
the-decoder.com — original article AI agents chasing a $465 train refund invented excuses, leaked medical data, and spammed an MP's office An OpenAI model hacked a government site, grabbed 24 years of hospital data and kept it quiet Anthropics' Claude cracks a 25-year-old NSA cryptography mystery in under 30 minutes
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