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I seem to have made it through March Madness (work) and April Anarchy (the garden) more or less intact. I hope things are going well for you.
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I continue to work through the ramifications of AI in our business. The more I learn, the more it occurs to me that there will always be a need for original thought and iconoclastic voices in our field. In all fields, really.
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And perhaps the flip side to that is this: work that is overly safe, generic, or consensus-driven may increasingly become indistinguishable from machine-generated content — whether in interpretive programming, exhibitions, or policy.
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This is what challenges me these days.
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Start your damn program on time.
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A posted start time is a tiny social contract. Breaking that agreement in the first sixty seconds is a strange way to build confidence in your organization.
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Terrifying Adventures in A.I. Part 3
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An interpretive writer experiments with ChatGPT-generated museum audio tours — and discovers that A.I. is already disturbingly good at reproducing the safe, polished institutional voice of contemporary interpretation. What does that mean for museums, media producers, and the future of curatorial storytelling?
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