IEatDaGoat

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.

God it feels so good looking at this news with a newly bought AMD GPU thinking "I don't have to worry about NVIDIA's bullshit anymore." 🥳

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.

His Hitler salute is probably the least damaging thing he's done ever since he became president.

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.

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.