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Joined 3 years ago
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Cake day: June 12th, 2023

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  • You’d put the things that aren’t up to personal preference in there, like an AI disclosure / contribution policy or what changes should look like to be reviewable. You usually don’t need to tell humans “don’t change things for the sake of changing them” because we don’t like to do more work than we have to, but agents do.

    You can also include a compact “table of contents,” describing what lives where in the project. It saves at most a little bit of exploration though so I don’t know if it’s really worth the maintenance







  • That doesn’t follow. What I think you mean is that by defining the constraints so rigorously, you’ve basically solved the problem yourself. But that’s exactly the point. The LLM isn’t the problem solver, it’s the execution engine that does the wiring-up and the ticking of boxes. The easy part, arguably, sure. But still considerable effort that can be saved, and that effort may be better spent on the problem-solving + constraint-defining stage.

    Mandatory disclaimer that this is not a pro-AI post. I also don’t agree that this setup works, anyway. It’s a classic Bob Martinism, the idea that writing good enough specifications makes the implementation irrelevant; it’s the type of idea that is allergic to reality









  • Not who you asked, but I want to shill for spaghetti aglio e olio for a sec.

    It has 3 ingredients. Pasta, olive oil, garlic. Fancy stuff will taste better, but the cheapest will taste fine. I use pre-minced garlic out of a tub when I’m really down bad and it’s still excellent. Salt, pepper, red pepper flakes, maybe parmesan cheese if you have it, and sometimes I’ll throw in some frozen peas. It comes together in about 2 minutes longer than it takes to boil the pasta and can be really quite good.





  • You don’t have to be Wiles to attempt unsuccessfully to prove the theorem. Fermat famously claimed to have a simple and elegant proof. Before we understood how to actually prove it, there was always a small chance that maybe there was such a proof and all we needed was the right type of creative lateral thinking to rediscover it. That’s what Picard was doing. Now that we understand the problem better, nobody really thinks such a proof exists, but that wasn’t as well known at the time the episode was written.