Sample-efficient active learning for materials informatics using integrated posterior variance

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“In the end, it was just clear that this wasn’t going to be a technology that was going to be well received or that we could continue to use,” Daggett told NPR.

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If alignment ends up being a serious problem, we're going to want to make some big asks of AI labs. We might ask labs or state actors to pause scaling.

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