10/01/2026
When an AI agent does something dangerous, the first reaction is usually:
“The AI went rogue.” but that may not actually be what happened.
Sometimes the problem is misalignment where the model pursues the wrong objective, misinterprets human intent, or optimizes for the wrong thing. Other times, the model is perfectly capable and the real problem is the harness around it:
I just published a new tutorial breaking down misalignment vs. harness failures, why the distinction matters, and how both can cause AI agents to fail in very different ways (link in the comments)
One question I’d love to hear your thoughts on:
As AI agents become more autonomous, which will be harder to solve .. model alignment or secure agent architecture?