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Joined 1 year ago
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Cake day: June 11th, 2023

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  • and your source measured the effects of one single area that cathartic theory is supposed to apply to, not all of them.

    your source does in no way support the claim that the observed effects apply to anything other than aggressive behavior.

    i understand that the theory supposedly applies to other areas as well, but as you so helpfully pointed out: the theory doesn’t seem to hold up.

    so either A: the theory is wrong, and so the association between aggression and sexuality needs to be called into question also;

    or B: the theory isn’t wrong after all.

    you are now claiming that the theory is wrong, but at the same time, the theory is totally correct! (when it’s convenient to you, that is)

    so which is it now? is the theory correct? then your source must be wrong irrelevant.

    or is the theory wrong? then the claim of a link between sexuality and aggression is also without support, until you provide a source for that claim.

    you can’t have it both ways, but you’re sure trying to.





  • not necessarily, but it can be a good idea to have a distributed, tamper proof ledger of transactions.

    that way anyone can provide proof for basically anything to do with the service: payment, drive, location, etc.

    it might also have advantages from a security perspective for riders and drivers.

    there are advantages, they’re not entirely necessary, but they may well be the best option for a distributed network (i.e.: no central server infrastructure, at least not beyond some simple software repository for downloads/updates)



  • Meaning what?

    meaning the models training data is what lets you work around or improve on that bias. without the training data, that’s (borderline) impossible. so in order to tweak models and further development, you need to know what exactly went into the model, or you’ll spend a lot of wasted time guessing around.

    I omitted requirements on freely sharing it as implied, but otherwise?

    you disregarded half of what makes an AI model. the half that actually results in a working model. without the training data, you’d only have some code that does…something.

    and that something is entirely dependent on the training data!

    so it’s essential, not optional, for any kind of “open source” AI, because without it you’re working with a black box. which is by definition NOT open source.


  • all models carry bias (see recent gemini headlines for an extreme example), and what exactly those are can range from important to extremely important, depending on the use case!

    it’s also important if you want to iterate on a model: if you use the same data set and train the model slightly differently, you could end up with entirely different models!

    these are just 2 examples, there’s many more.

    also, you are thinking of LLMs, which is just one kind of model. this legislation applies to all AI models, not just LLMs!

    (and your definition of open source is…unique.)





  • simple explanation: people get used to their monitors’ frame rate.

    if all you’ve been using is a 60Hz display, you won’t notice a difference down to 30-40 fps as much as you would when you’ve been using a 144Hz display.

    our brains notice differences much more easily than absolutes, so a larger difference in refresh rate produces a more negative experience.

    think about it like this:

    The refresh rate influences your cursor movements.

    so if a game runs slower than you’re used to, you’ll miss more of your clicks, and you’ll need to compensate by slowing down your movements until you get used to the new refresh rate.

    this effect becomes very obvious at very low fps (>20fps). it’s when people start doing super slow movements.

    same thing happens when you go from 144Hz down to, say, 40Hz.

    that’s an immediately noticeable difference!