All computing is just shit tons of math operations.
That’s the “artificial” part of “artificial intelligence”, so I’m not really sure what you expect AI to look like.
I’m not a big fan of LLMs and I don’t think they’re intelligent, but if you’re disqualifying them based on using math then nothing is ever going to satisfy you
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.
All computing is just shit tons of math operations.
That’s the “artificial” part of “artificial intelligence”, so I’m not really sure what you expect AI to look like.
I’m not a big fan of LLMs and I don’t think they’re intelligent, but if you’re disqualifying them based on using math then nothing is ever going to satisfy you
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