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Joined 2 years ago
Cake day: September 15th, 2024
  • It’s a grammatical one, not a philosophical one. And, now that I think of it, it’s also one with a definite answer.

    If you waved a magic wand and had a chicken come out of a leathery egg lay by a lizard, a watery egg lay by a fish, or the sort of large egg an oatrich usually comes from, we wouldn’t call any of those a “chicken egg”

    And, conversely, if by super-advanced genetic engineering we made chickens who lay eggs with bacon or cheese or just all whites, we’d call those eggs “chicken eggs” when we talk about the shells themselves and not the contents therein.

    So the chicken came first. And the first chickens hatched from the eggs of some other bird.

  • You’re thinking about lagrange points – the places in a (dissimilar?) two-body system where the gravitational pull (and kinetic energy?) from both is equal and thus relatively stable.

    Not a physicist, obviously.

    Also, be aware that the effect of gravity diminishes with distance. We’re pulled towards the earth at about 9.8m/s/s here on the surface, but as you get further away that 9.8 drops off on an exponential curve.


    This gives me a chance to repeat the best argument for why Star Wars is higher tech than Star Trek. When the enterprise gets to a planet they orbit, and the artificial gravity is only an internal issue. In star wars we see gravity shift as ships list due to damage or even fall towards planets, because they aren’t orbiting; they’re just hovering above the planet, presumably with their artificial gravity just working enough to stop the ship itself from falling.

  • If AI actually adds value, it should be trivial to demonstrate that value-add in a way that passes scientific rigor.

    The underlying problem is that we don’t have a good way to measure code value. Software quality is most closely coporable to a weird combination of scientific paper, mechanical diagnostic, and toy instructuon. And we don’t have good ways to measure those, either.

    There was apparently one study from Stanford:

    https://medium.com/@manusf08/does-ai-really-boost-developer-productivity-a-stanford-study-of-100-000-devs-has-answers-4f64c64ebe97

    Note that the headline is misleading – stanford apparently trainded an AI model to “rate code” in a way that agreed with some of their staff and then ran that on a bunch of projects. The “good at simple and new, bad at complex and old” matches my intuition, but isn’t really a stronger test than counting minutes spent in a project or dollars spent on programming with or without AI.


    And all AI output is slop. It’s just that for some things slop is good enough.

    ~Which really should be an argument more for discarding those things than boiling oceans to generate more of them, but capitalism loves doing wasteful things~