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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)W
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3 yr. ago

  • Aliasing

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  • You should use the Bresenhams Line Algorithm for aliased lines instead of just marking all pixels the underlying line touches because that leads to thickness inconsistencies.

  • Play tic tac toe a few times against Chat-GPT. Wouldn't trust an LLM that can't win tic tac toe against four year olds with production code 🤣

  • Also because it's clearly a misnomer. "common sense" is ironically not that common 🙃

  • Newton believed in god, so there obviously were things he accepted with practically no evidence whatsoever 🙊

  • It still can panic/abort and deadlock/wait infinitely long on most fp languages because that's typically implied. And there isn't actually a way around that because computation almost always can fail or block indefinitely - and if you have a total language you can implement waits for billions of years, which for all practical purposes is "infinitely" long on human time scales.

  • I use my remarkable 2 for that. Pretty expensive compared to other typically ebook readers but I use it to take notes too and it's basically a pen and paper replacement for me.

  • Thanks for pointing that out, haven't tried that.

  • I can't select the text on this article (mobile). I'm not sure if that's on purpose or just ironic?

  • Deleted

    Permanently Deleted

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  • Exactly. The only real unit is football fields.

  • Uh...

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  • I think the most hilarious thing was their public Copilot demonstration working on the .NET source code. They basically showed the world that copilot isn't ready for serious work.

  • First, could be autocorrect, and second: How many languages do you speak FFS?

  • Herzlichen Glückwunsch zu deinem Benutzernamen übrigens 🤣

  • Aerosols aren't gases in the classial sense and reflect sunlight. This works especially well high up in the atmosphere.

    https://science.nasa.gov/science-research/earth-science/climate-science/aerosols-small-particles-with-big-climate-effects/

    There are studies that collect data around volcano eruptions and coal power plants getting online and offline. Long story short: Climate is complicated; I'm not a climate scientist and not to be trusted; it would work great at cooling the planet; we definitely shouldn't do it (yet?) because it masks the temperature problem and could lead to us not reducing CO2 because we "wouldn't have to", but it could be a tool if we might be on the edge of a catastrophic runaway effect that causes too much water to evaporate into the atmosphere.

    Update: Btw, you are right about dark particles low in the atmosphere, those typically warm the planet. It's mainly sulfur dioxide aerosols byproduct that cool the planet (also mentioned in the NASA article)

  • It's not really hard to implement at all but would just trade pest for cholera. We could just burn a lot of coal again, the dustier and dirtier the better. But that's pretty bad for air quality but it would seriously cool the planet.

  • Things don't scale linearly like that. Many things are proportional to either the surface (so x²) or volume (x³) or complex combinations of those.

  • Any backups of the repository itself (and not the GitHub rendering)?

  • I didn't say they have no knowledge, quite the opposite. Here a quote from the comment you answered:

    LLMs are extremely knowledgeable (as in they "know" a lot) but are completely dumb.

    There is a subtle difference between intelligent and knowledgeable. LLM know a lot in that sense that they can remember a lot of things, but they are dumb in that sense that they are completely unable to draw conclusions and put that knowledge into action in any other means besides spitting out again what they once learned.

    That's why LLMs can tell you a lot about about all different kinds of game theory about tic tac toe but can't draw/win that game consistently.

    So knowing a lot and still being dumb is not a contradiction.