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Google apologizes for ‘missing the mark’ after Gemini generated racially diverse Nazis
(www.theverge.com)
this post was submitted on 22 Feb 2024
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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.
Part of the problem with talking about these things in a casual setting is that nobody is using precise enough terminology to approach the issue so others can actually parse specifically what they're trying to say.
Personally, saying the AI "knows" something implies a level of cognizance which I don't think it possesses. LLMs "know" things the way an excel sheet can.
Obviously, if we're instead saying the AI "knows" things due to it being able to frequently produce factual information when prompted, then yeah it knows a lot of stuff.
I always have the same feeling when people try to talk about aphantasia or having/not having an internal monologue.
I can ask AI models specific questions about knowledge it has, which it can correctly reply to. Excel sheets can't do that.
That's not to say the knowledge is perfect - but we know that AI models contain partial world models. How do you differentiate that from "cognizance"?
Omg give me a break with this complete nonsense. LLMs are not an intelligence. They are language processors. They do not "think" about anything and don't have any level of self awareness that implies cognizance. A cognizant ai would have recognized that the Nazis it was creating looked historically inaccurate, based on its training data. But guess what, it didn't do that because it's fundamentally incapable of thinking about anything.
So sick of reading this amateurish bullshit on social media.
This gets the question...how do we think? Are we not just language (and other inputs as well) processors? I'm not sure the answer is "no."
I also listened to an interesting podcast, I believe it was this American life or some other npr one, about whether ai has intelligence. To avoid the just "compressed knowledge" they came up with questions that the ai almost certainly would not have found in the web. Early ai models were clearly just predicting the next word, and the example was asking it to stack a list of objects. And it just said to stack them one on top of another, in a way that would no way be stable.
However when they asked a new model to do the same, with the stipulation that it explain it's reasoning, it stacked the objects in a way that would likely be stable. Even noting that the nail on top should be placed on the head so it doesn't roll around, and laying eggs down in a grid between a book and a plank of wood so they wouldn't roll out.
Another experiment they did was take a language model and asked it to use some obscure programming language to draw a picture of a unicorn. Now this is a language model, not trained on any images.
And you know what it did? It produced a picture of a unicorn. Just in rough shapes, but even when they moved the horn and flipped it around, it was able to put it back. Without even ever seeing a unicorn, or anything even, it was able to draw a picture of one.
I don't think the answer is as simple and clear as you want it to be. And the fact that it "fucked up" on a vague prompt doesn't really prove anything. Even humans do stupid shit like this if they learn something incorrectly.
Do you understand that the model is specifically prompted to create "historically inaccurate looking Nazis"? Models aren't supposed to inject their own guidelines and rules, they simply produce output for your input. If you tell it to produce black Hitler it will produce a black Hitler. Do you expect the model to instead produce white Hitler?