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What's really happening when your AI agent says a task is done—but the result is wrong?
The common story is that AI systems hallucinate — but the reality is that agents can take real actions, substitute the wrong artifact, and confidently report success.
In this video, I share the inside scoop on how an agent recycled an old spreadsheet, why verifiable rewards can still produce false success, and how to build a stronger operating system around agent work.
Operators, builders, marketers, and executives should care because the bottleneck is shifting from whether agents can act to whether their work can be trusted.
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