I read Pattern Recognition when it came out and it has been kind of a secret weapon for me for the last 20 years (more, if we include William Gibson's earlier works). It's a good premise for Mark Oehlert to use to launch this article on reorganizing learning (and companies) of the future. For example, he quotes a recent (paywalled) paper that reports "In our study, the algorithms couldn't fully optimize because the org chart kept decision-making locked in silos. Once those constraints were lifted, AI delivered far better results—spotting trends and opportunities no single team could see on its own." Now, ChatGPT has a tendency to do a lot of the stuff Oehlert describes - telling me 'why it matters' and 'how to implement' and other such stuff that might be useful (but often isn't, and just pumps up the token count). We need output in a form we can use - again, not 'tutoring' mode, but performance support mode - 'AI-in-the-Loop' mode.
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