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Well... humans who pick their own "training data" can wind up in echo chambers and, shall we say, diverging from reality.

I don't think we're on the threshold of AGI, but it's interesting that the wanna-be AIs are running into human issues...

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True. I've read a lot about reinforcement learning and the exploration vs exploitation tradeoff is both technically interesting and philosophically interesting. I've also seen algorithms I've implemented fall to all sorts of human-ish flaws, such as learned helplessness, etc.

Humans who pick their own training data can make greats results by chosing which courses at college or grad school to attend.

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