Like I said, that’s where we disagree. I call the code controlling Creepers in Minecraft AI
Comment on Stop. Calling. Everything. AI
westyvw@lemm.ee 2 months agoThere is no intelligence. There is only algorithms. The place we are at is not anywhere near approaching artificial intelligence, it is only buzzwords. If you know about how this works this should be clear. I think I was being very objective: we have statistical engines and diffusion formulas. No intelligence, of any kind, is being demonstrated. AI is a marketing term at this point. No original ideas, no real knowledge of past or future events, no ability to determine correct answers from false ones. Even the better models that try to basically watch the other models are still not that great beyond the basics of “what is the next most likely word here”.
0laura@lemmy.world 2 months ago
wizardbeard@lemmy.dbzer0.com 2 months ago
While I think that is a different meaning than the current fad/bubble driven meaning that marketing groups would have people believe AI is, it’s interesting how fast people have forgotten the old uses of the term.
Personally I try to avoid using it to describe those now, since AI in popular parlance has been extended to at least imply a lot more lately.
hedgehog@ttrpg.network 2 months ago
How do you define “intelligence,” precisely?
Is my dog intelligent? What about a horse or dolphin? Macaws or chimpanzees?
Human brains do a number of different things behind the scenes, and some of those things look an awful lot like AI. Do you consider each of them to be intelligence, or is part of intelligence not enough to call it intelligence?
If you don’t consider it sufficient to say that part of intelligence is itself “intelligence,” then can you at least understand that some people do apply metonymy when saying the word “intelligence?”
If I convinced you to consider it or if you already did, then can you clarify:
The thing with machine learning is that it is inexplicable, much like parts of the human brain is inexplicable. Algorithms can be explained and understood, but machine learning, and its efficacy with problem spaces as they get larger and it’s fed more and more data, isn’t truly understood even by people who work deeply with it. These capabilities allow them to solve problems that are otherwise very difficult to solve algorithmically - similar to how we solve problems. Unless you think you have a deeper understanding than they do, how can you, as you claim, understand machine learning and its capabilities well enough to say that it is not at least similar to a part of intelligence?