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Study: division of labor helps self-improving agents avoid errors

New research suggests dividing labor among self-improving AI agents can prevent them from reinforcing their own errors, an idea linked to open-ended search in metascience.

A new work suggesting that division of labor among self-improving AI agents can help them avoid reinforcing their own errors. I found this work interesting from a metascience perspective. Science is an open-ended search with no explicit benchmark, much like the Odyssean voyage

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