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Cake day: March 22nd, 2024

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  • I disagree with their conclusions about the ultimate utility of some of these things, mostly because I think they underestimate the impact of the problem. If you’re looking at a ~.5% chance of throwing out a bad outcome we should be less worried about failing to filter out the evil than with just straight-up errors making it not work. There’s no accountability and the whole pitch of automating away, say, radiologists is that you don’t have a clinic full of radiologists who can catch those errors. Like, you can’t even get a second opinion if the market is dominated by XrayGPT or whatever because whoever you would go to is also going to rely on XrayGPT. After a generation or so where are you even going to find much less afford an actual human with the relevant skills?This is the pitch they’re making to investors and the world they’re trying to build.











  • It’s like a restaurant selling granite rocks for dessert. Nobody will buy them or eat them—so the product fails miserably. But if a popular restaurant adds a dollar to the meal price, and gives every customer a rock with their bill—well, then they can say that:

    Every customer gets rocks for dessert.

    Every customer pays for it.

    Their business is more profitable because of the tasty granite rocks.

    I just wanted to spotlight this excellent metaphor tbh.