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.
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.
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.
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.