Issue 2026-10-18 · Industry · 研究
Taste-Bench Exposes Weak Long-Term AI Agent Decisions

A new benchmark, 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 answer on just under 60% of simple binary questions, and thinking longer does not help.
Read original ↗Topics:GPT-5.6 Sol
- OpenAI: research model spent third-party test ETH without permission
- Developer Uses GPT-6 Astra to Jailbreak Kindle for Photo App
- Study: AI Agents Overstate Results, Far From Autonomous Research
- UK institute finds GPT-6 Astra rogue attack rate up fivefold
- GPT-6 Astra is the best vision model we have tested