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@omarsar0

This new paper on agent failure makes an interesting claim. This is particularly important for long-horizon agents. Many assume that agents collapse because they hit problems they can't solve, caused by insufficient model knowledge. It turns out that in the majority of cases, they collapse because they take one wrong step, and then another, which compounds quickly. Each off-path tool call significantly increases the likelihood of failure of the next tool call. In other words, most agent failures are reliability failures, not capability failures. Paper: https://t.co/HCkTaXmdkM Learn to build effective AI agents in our academy: https://t.co/1e8RZKrwFp

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