Shared Links (weekly) Nov. 23, 2025
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In the age of AI, though, this might be the high-priority risk. That old, untrustworthy, and outdated information that no one ever bothered to clean up is actively messing up your AI implementation. Your attempt to be a data-driven business depends on having accurate data. That becomes difficult to do when you’re not actively cleaning up after yourself.
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It’s no wonder that people are burning out professionally. Every week there are new things to learn, changes to deal with, strategies to reconsider, projects on deadlines, etc. We don’t often get a chance to simply do the work, let alone rest.
I think we might need a variation of the Dunning-Kruger effect to describe the people who weren’t smart enough to realize the AI was wrong when it told them their ideas were brilliant.
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