IEatDaGoat

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!"?

Na this shit is nasty. There are food carts that give out better-looking food and more quantity for around 5-7 dollars. This just makes me want to throw up.

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.

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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 🥳

Bro's talking about himself

He's using us instead of vomiting all those errors messages into chatgpt to translate it into something more readable.

That would make too much sense

What do you think?

My condolences 🙏😞