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sounds a bit sketch?

learning to do a thing means handling the edge cases, and you cant exactly do that in one pass?

when ive learned manual processes its been at least 9 attempts. 3 watching, 3 doing with an expert watching, and 3 with the expert checking the result

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That’s true. The demo I showed was somewhat cherry-picked, and agentic systems themselves inherently introduce uncertainty. To address this, a possible approach was proposed earlier in this thread: currently, after /teach is completed, we have an interactive discussion to refine the learned skill. In practice, this could likely be improved when the agent uses a learned skill and encounters errors, it could proactively request human help to point out the mistake. I think this could be an effective direction.

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