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Cake day: June 10th, 2023

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  • To some extent that is true. But on the other hand, Windows is both usually easier to learn (has a UI for 99% of stuff, basic design principles dictate that it’s much easier to remember what to click on than what to type), and it just works. I rarely have to interact with the OS in any way to get something to work. I’ve tried multiple times to switch to Linux, but it just has so much stuff that doesn’t work out of the box, or at all. Da Vinci Resolve has a native version which is completely broken, Dota 2 has a native version but doesn’t pre compile shaders, so whenever e.g. I open a new hero in the hero list it lags for 1-2s, many games with anti cheat don’t work, good luck with anything in VR, no popular distro that I’ve seen has a clipboard and the ones I found online are just worse than the Windows one, etc.

    I want to switch, I really do, but I’m already a power user on Windows, I would have to learn a lot to be on the same level on Linux, add onto that the fact that a lot of stuf that’s important to me just doesn’t work properly on Linux, it just doesn’t make sense for me, and for most people they’re gonna be a lot less willing to switch. Most people will not bother trying to change something, even if it’s objectively better. Most people just want to stick with what already works for them, and until Linux is able to just work with no need for user intervention, especially through terminals which people fear, it’s still a long way from mainstream adoption.



  • Well on one hand yes, when you’re training it your telling it to try and mimic the input as close as possible. But the result is still weights that aren’t gonna reproducte everything exactly the same as it just isn’t possible to store everything in the limited amount of entropy weights provide.

    In the end, human brains aren’t that dissimilar, we also just have some weights and parameters (neurons, how sensitive they are and how many inputs they have) that then output something.

    I’m not convinced that in principle this is that far from how human brains could work (they have a lot of minute differences but the end result is the same), I think that a sufficiently large, well trained and configured model would be able to work like a human brain.