Google apologizes for ‘missing the mark’ after Gemini generated racially diverse Nazis::Google says it’s aware of historically inaccurate results for its Gemini AI image generator, following criticism that it depicted historically white groups as people of color.
I’ll get the usual downvotes for this, but:
is untrue, because current AI fundamentally is knowledge. Intelligence fundamentally is compression, and that’s what the training process does - it compresses large amounts of data into a smaller size (and of course loses many details in the process).
But there’s no way to argue that AI doesn’t know anything if you look at its ability to recreate a great number of facts etc. from a small amount of activations. Yes, not everything is accurate, and it might never be perfect. I’m not trying to argue that “it will necessarily get better”. But there’s no argument that labels current AI technology as “not understanding” without resorting to a “special human sauce” argument, because the fundamental compression mechanisms behind it are the same as behind our intelligence.
Edit: yeah, this went about as expected. I don’t know why the Lemmy community has so many weird opinions on AI topics.
This is all the same as saying a book is intelligent.
No, it’s not. It’s saying “a book is knowledge”, which is absolutely true.
A book is a physical representation of knowledge.
Knowledge is something possessed by an actor capable to employ it. One way I can employ a textbook about Quantum Mechanics is by throwing it at you, for which any book would suffice, but I can’t put any of the knowledge represented within into practice. Throwing is purely Newtonian, I have some learned knowledge about that and plenty of innate knowledge as a human (we are badass throwers). Also I played Handball when I was a kid. All that is plenty of knowledge, and an object, to throw, but nothing about it concerns spin states. It also won’t hit you any differently than a cookbook.
What exactly are you trying to argue? Yes, I wasn’t incredibly precise, a book isn’t literal knowledge, but I didn’t think that somebody would nitpick this hard. Do you really think this is in any way a productive line of argumentation?
Technically this is not correct, as e.g. a fully paralyzed and mute person can’t employ their knowledge, yet they still possess it.
Why can’t you put any of the knowledge represented in the book into practice? You can still pick the book up and extract the knowledge.
See how these are technically correct arguments, yet they are absolutely stupid?
You’d have to be past Hawkins levels of paralysis to not be able to employ that knowledge to come up with new physical theories. Now that was a nickpick.
That would be employing my knowledge of maths, of my general education, not of the QM knowledge represented in the book: I cannot employ the knowledge in the book to pick up the knowledge in the book because I haven’t picked it up yet. Causality and everything, it’s a thing.
I have no idea what you’re getting at, and I don’t think you’re writing in good faith. I’ll stop here. Have a good day!
You just didn’t understand the argument. How in God’s name is he making bad faith arguments by refuting your points?
Lemmy hasn’t met a pitchfork it doesn’t pick up.
You are correct. The most cited researcher in the space agrees with you. There’s been a half dozen papers over the past year replicating the finding that LLMs generate world models from the training data.
But that doesn’t matter. People love their confirmation bias.
Just look at how many people think it only predicts what word comes next, thinking it’s a Markov chain and completely unaware of how self-attention works in transformers.
The wisdom of the crowd is often idiocy.
Thank you very much. The confirmation bias is crazy - one guy is literally trying to tell me that AI generators don’t have knowledge because, when asking it for a picture of racially diverse Nazis, you get a picture of racially diverse Nazis. The facts don’t matter as long as you get to be angry about stupid AIs.
It’s hard to tell a difference between these people and Trump supporters sometimes.
To me it feels a lot like when I was arguing against antivaxxers.
The same pattern of linking and explaining research but having it dismissed because it doesn’t line up with their gut feelings and whatever they read when “doing their own research” guided by that very confirmation bias.
The field is moving faster than any I’ve seen before, and even people working in it seem to be out of touch with the research side of things over the past year since GPT-4 was released.
A lot of outstanding assumptions have been proven wrong.
It’s a bit like the early 19th century in physics, where everyone assumed things that turned out wrong over a very short period where it all turned upside down.
Exactly. They have very strong feelings that they are right, and won’t be moved - not by arguments, research, evidence or anything else.
Just look at the guy telling me “they can’t reason!”. I asked whether they’d accept they are wrong if I provide a counter example, and they literally can’t say yes. Their world view won’t allow it. If I’m sure I’m right that no counter examples exist to my point, I’d gladly say “yes, a counter example would sway me”.
Yall actually have any research to share or just gonna talk about it?
Yall actually have any research to share or just gonna talk about it?
Both
Jsyk I can’t see that comment from your link.
Weird, works fine for me. It’s their response to the comment in this thread with this content:
Thanks!