Comment on Sam Altman Says If Jobs Gets Wiped Out, Maybe They Weren’t Even “Real Work” to Start With
jungle@lemmy.world 1 day agoNo, I saw it, but I was replying to the “please stop calling it AI” part. This is a computer science term, not a psychology term. Psychologists have no business discussing what computer scientists call these systems
MonkderVierte@lemmy.zip 1 day ago
What do i even answer here…
jungle@lemmy.world 1 day ago
Ah, I see. We in the software industry are no longer allowed to use our own terms because outsiders Co-opted them.
Noted.
MonkderVierte@lemmy.zip 1 day ago
jungle@lemmy.world 1 day ago
Dude, what age are you? 13? Log off and go play with your friends.
sugar_in_your_tea@sh.itjust.works 1 day ago
The solution to the public misusing technical terms isn’t to change the technical terms, but to educate the public. All of the following fall under AI:
AI is a broad field, and you probably interact with non-LLM variants every day, whether you notice or not. Here’s a Wikipedia article that goes through a lot of it. LLMs/GPT are merely one small subfield in the larger field of AI.
MangoCats@feddit.it 7 hours ago
The problem with AI in a “popular context” is that it has been a forever moving target. Old mechanical adding machines were better at correctly summing columns of numbers than humans, at the time they were considered a limited sort of artificial intelligence. All along the spectrum it continues. 5 years ago, image classifiers that can sit and watch video feeds 24-7, accurately identifying things that happen in the feed with better than human accuracy (accounting for human lack of attention, coffee breaks, distracting phone calls, etc.) those were amazing feats of AI - at the time, and now they’re “just image classifiers” much as Alpha-Zero “just plays games.”
sugar_in_your_tea@sh.itjust.works 5 hours ago
The first was never “AI” in a CS context, and the second has always and will always be “AI” in a CS context. The definition has been pretty consistent since at least Alan Turing, if not earlier.
I don’t know how to square that circle. To me it’s pretty simple, a solution or approach is AI if it simulates (or creates) intelligence, and an intelligent system is one that uses data (learns) from its environment to achieve its goals. Anything from an A* pathiing algorithm to actual general AI are “AI,” yet people assume the most sophisticated end of the spectrum.