Unverified50% confidenceCautionExact time
The talk warned that a screenshot of success is not proof, because an agent may have taken a path that is impossible to reach in the UI, so it must be ensured that the whole run from start to finish goes through.
1
Sources
50%
Confidence
Long-term
Relevance
10/24/2026
First Seen
Sources
Making AI Agents Prove "Done": The Verification Loop Determines the Scaling Ceiling of Agents
bilibiliMindofuture10/24/2026
Related Entities
Related Claims
UnverifiedNo checkpoints means the agent must execute continuously from the start to the end, and any mistake midway causes all prior progress to be lost.73% similarUnverifiedAny task with a verifiable result—where you may not know how to do it but can judge whether the answer is correct—can essentially be solved by AI.71% similarUnverifiedEven if all API calls succeed, an agent may produce no valuable output, so the entire run must be observed rather than just the success or failure of individual calls.70% similarUnverifiedTask success rate has an attribution blind spot: it cannot distinguish whether the agent succeeded by chance or by anticipating and verifying before succeeding, nor can it distinguish perception errors from planning failures.69% similarUnverifiedAn AI agent's tool call returning success only verifies that the action was executed, not that the action complies with company rules.69% similar
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