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Joan Westenberg:

Perhaps (perhaps) we don't fear action so much as we fear feedback. As long as our model stays in our head, it can be perfect. The moment we test it against reality, we have to confront our wrongness. And for highly analytical people, being wrong feels like a moral failing rather than a normal part of learning.
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Third, and this is harder, you have to learn to metabolize feedback differently. When reality contradicts your model, it’s not a failure signal; it’s data. Neutral, immutable data. That's the whole point of making models in the first place, to test them against the world and update them. But you can only get that data by acting. The model serves the movement, not the other way around.

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One time about a year ago used ChatGPT for something and it was wrong, so now I know everything there is to know about LLMs and am totally qualified to tell you what they can/will can't/won't do forever...

-- Way too many people on the internet.

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Even though there are thousands of perfectly good iPhone photos of my grandson, I prefer the grainy, dusty film photos.

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I'll never not be stunned by this quote from a David Foster Wallace interview from 1996:

Screenshot is from Full Days and the Long Walk by Craig Mod, which a good read, too.