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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/)IE
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  • I felt this too. I made a new PC from a 3080 to a 7900 XT and I went from 30 FPS in Monster Hunter WIlds to 110 FPS (using linux). Even though I improved the CPU from 3800x to 9800 X3D, I feel like the 20 GB VRAM is the biggest factor. I hope Intel can catch up with GPUs because AMD is the only reasonable option rn.

  • Let's not become delusional now. Linux as an overall operating system feels much better to use but only because we care to become tech savvy and to troubleshoot. There are so many headaches that come with Linux which makes it unattractive to most people.

    We are probably not most people.

  • I should be saying that to you. You're comment implied that it's better for assholes to not interact with women. The only way to reduce misogyny is to encourage more interaction with women.

    I'm not saying everyone should bang everyone else, I'm just saying your attitude towards these idiots is also idiotic.

    Good, grbage humans won’t pass on their genes

    Edit: Keeping this here so you don't edit your original comment:

  • Basically AI research is the study of the mathematics of knowledge learning and reasoning. Models aren’t just ‘linear regression’ and you could say linear regression is a beautifully simple way to find patterns in high dimensional space it’s just word choice. You can hate on the hype all you want but it isn’t going away because it was always here before the hype.

    Would you be annoyed if, when you asked someone "Where’s the nearest train station?" they answered "It’s on Earth!"?

  • All computing is just shit tons of math operations.

    I agree, and "computing" is a great umbrella term for all math operations. And there's a reason you used the term LLM instead of AI, and that's because LLM better describes what you're referring to. The name reflects the function or the most defining characteristic of what you're referring to.

    The way people throw around 'Artificial Intelligence' feels wrong to me. The words "Artificial Intelligence" suggest these models are conscious or sentient, which they’re not, so the term ends up being misleading.

    So while it’s not technically wrong to use "AI" as a catch-all for anything data-driven, I don’t think it’s nearly as useful or accurate as more specific terms like LLM.

    Also, when I hear people use the term AI, it’s usually by those who have no idea what they’re actually talking about. It’s always in the vague, buzzword-y context of “we need to AI our processes” even though, realistically, most systems already have some form of "AI" baked in.

    Edit: It's just a huge buzzword that's starting to lose meaning to me: https://www.youtube.com/watch?v=-qbylbEek-M&t=26s

  • When I hear "Artificial Intelligence," I picture a computer with sentience, something that thinks and perceives like an animal or human. But instead, the term is being thrown around to describe basic models like linear regression, which clearly don't think for themselves. Even if it's meant as a shorthand for all algorithms, calling every math operation "AI" cheapens the meaning and blurs the line between true intelligence and simple computation.

  • I hate that we call any algorithm that gets information by looking at data "AI." If people consider something like linear regression (a supervised model) to be "AI", then "AI" isn't going to pass. Hell, even neural networks are just a shit ton of addition and multiplications.

  • I'm so glad I was too broke to buy a Tesla when it was hyped and when Elon was just the dude smoking weed on Joe Rogan's podcast and the guy that laughed at a dead deer. I really wanted one and I'm so glad I don't have one 🥳