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Joined 25 days ago
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Cake day: April 2nd, 2025

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  • 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