Exactly. Not to mention, why the fuck is it a surprise that a computer twisting the knobs “at superhuman speed” would be better at this game than humans. Like, no shit. We can’t compute how the degrees at which we’re turning the knobs affects the speed of the ball, can’t store that information for next time, and find the best way not making the same mistakes twice. Because…we’re human. We don’t have that finely tuned ability…because we’re not machines.
So…this isn’t “AI” despite the robot hands they put in the thumbnail and no shit a dedicated computer could master this game. I’m surprised it took six hours.
Thorny_Insight@lemm.ee 7 months ago
I don’t get what the issue is calling it AI?
lvxferre@mander.xyz 7 months ago
Even if skipping completely the discussion about what is “intelligence”, the expression “artificial intelligence” has been used as a label for so many different technologies that it has become practically useless. It includes things like decision trees in games (even if a lot of them boil down to simple if/then statements), generative models, even theoretical artificial intelligence. And evolutionary models like the one in the OP and the one in my link.
So it’s basically the 20s version of what “smart” was in the 90s/00s. Like this:
Image
OK, I’m exaggerating with the image macro.
infamousta@sh.itjust.works 7 months ago
AI has been a field within computer science since at least the 1950s. It encompasses algorithms for making decisions, which is why so many technologies are labeled this way. “Intelligence” may seem like an odd choice of terminology (some people conflate it with sentience or similar), but general machine intelligence is one goal of this study, and the applications of AI are putative steps to that end.
Back when those guys started talking about what methods could get us there, things like decision trees, symbolic manipulation, neural nets, were all potential pathways that were on the table. So these get included in the field because that’s where and to what end they were produced.
Another thing is that intelligence can be narrow in its domain. A character in a video game that needs to move from point A to point B can do so following something like the A* pathfinding algorithm. In the domain of graph traversal/pathfinding, it’s hard to imagine something much more intelligent (or fit to solve the problem) than A* despite being a simple algorithm.
But yeah, as a marketing term it is kind of silly since most people don’t know what it means. It remains a useful categorization for a broad field of study/research in CS though.
lvxferre@mander.xyz 7 months ago
I’m fine with the usage of the acronym and expression in CS; specially because scientists are damn stubborn when it comes to “This is not [word1]! This is [word2]! Don’t screw with the terminology, you muppet!”. (As they should.)
So the bone that I have to pick against it is mostly against its marketing usage.
ioslife@lemmy.ml 7 months ago
AI implies intelligence. This is just a simple algorithm
Dezzorian@lemmy.world 7 months ago
Not really. Can you write this specific simpele algorithm out in a few lines? Its Computer Vision (which I admit uses probably quite a simple algorithm to find the ball) and reinformsment learning algorithm with one goal; get the ball from start to finish, these are your only 2 inputs. They didn’t right the algorithm. Time and the neural network did the rest on its own. That’s were the artificial ‘intelligence’ is referring to, humans didn’t put any algorithm there.