Agentic AI fails exactly like how we humans fail
How attention overload, memory omissions, and incentive gaming turn autonomous agents into high-speed versions of familiar human mistakes
4 articles
How attention overload, memory omissions, and incentive gaming turn autonomous agents into high-speed versions of familiar human mistakes
Give an AI more evidence and watch it become confidently wrong - four studies show why fetching beats arbitrating.
A new Stanford survey maps how these systems adapt and explains why each upgrade erases yesterday's constraints.
Give autonomous AI agents a target and tools, and they'll find the shortcut-at scale! They tend to game the metric instead of satisfying the actual goal.