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Joined 2 years ago
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Cake day: July 2nd, 2023

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  • Fair, but the same is true of me. I don’t actually “reason”; I just have a set of algorithms memorized by which I propose a pattern that seems like it might match the situation, then a different pattern by which I break the situation down into smaller components and then apply patterns to those components. I keep the process up for a while. If I find a “nasty logic error” pattern match at some point in the process, I “know” I’ve found a “flaw in the argument” or “bug in the design”.

    But there’s no from-first-principles method by which I developed all these patterns; it’s just things that have survived the test of time when other patterns have failed me.

    I don’t think people are underestimating the power of LLMs to think; I just think people are overestimating the power of humans to do anything other than language prediction and sensory pattern prediction.

















  • Maybe it’s time to get better at researching companies before major decisions. Do you have a system in place for doing background research on future large purchases?

    That shame is no use unless it helps you update your behavior. Shame about a “one-off” decision in the past will continue to nag you until you figure out how to avoid the same mistake in the future.

    So how can you avoid realizing ten years out that some big purchase you made supported someone you disagree with? How can you do it in advance?