crushingpetal
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*I'm also not convinced at all that the neural-net style of AI will get real knowledge or understanding.
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This is relevant because it has to do with the aim. If you want general linguistic competence, sure, you're golden. If you want anything like knowledge or understanding, you're barking up the wrong tree.
Legit question - why do you feel that AI skepticism is necessarily a "hit piece?" What motive do people have to be skeptical of AI that would warrant hit pieces, rather than just legitimate skepticism?
I'm actually flabbergasted that you would casually run linguistic competence and general reasoning together.It's exactly the linguistic competence and general reasoning that is important. If anything, knowledge should be more explicitly disentangled from forward prediction parameters than it is in current LLMs, as it is still messy to update after-the-fact and 2nd or 3rd order inferences from the updated information often fail to get updated appropriately. In my opinion, the "AI" part of it is the reading/reasoning aspects, and the exact knowledge the LLM has is peripheral.
Like I said, if you have the general purpose AI, there are approaches like RAG that can fill in the knowledge on-the-fly.
Also I find the idea that LLMs blew their load on 2022 data to be pretty weird when they've improved quite consistently and significantly since then.
Yes, but the solution will cost every member a $4.99/month subscription.Yeah, but can an AI fix this forum so it stops being so fucking slow?
I spent a fair amout of time from Jan.--May. working with Midjourney and Dall-E and Photoshop's generative fill and the problems were well beyond numerically having "5 finger hands". The systems didn't understand how fingers work, period. What current gen are you talking about?It's kind of like those many-fingered characters in earlier image generation models. I'm reading articles that are like, "Is this going to be taking any artist jobs? Not so long as it thinks this is an acceptable hand". Meanwhile I was literally using a [at the time] soon-to-be-public model that almost never made those mistakes, and the idea that the models were somehow intrinsically incapable of doing 5-finger hands should be obviously stupid and shortsighted if the authors had spent enough time to understand how the models work. Now everybody knows the fingers aren't a very pervasive problem in current gen models and we have to move the goalpost over to some other thing.
This was a point I was going to make earlier and I think I erased it - a lot of the uses for AI are things that we can't even really tell are AI or not in the first place. Maybe Apple calls their recommendation service AI, but is it actually? Maybe it is, but I don't know. How could I know? How can any consumer know the difference between a product that uses machine learning, and just a general non-AI algorithm of some kind? Do you know if your smart TV uses AI? Are we really just going to call all software AI, like was suggested earlier?For funsies, here's a mistake that AI / applee music made as I'm writing this:
This was a point I was going to make earlier and I think I erased it - a lot of the uses for AI are things that we can't even really tell are AI or not in the first place. Maybe Apple calls their recommendation service AI, but is it actually? Maybe it is, but I don't know. How could I know? How can any consumer know the difference between a product that uses machine learning, and just a general non-AI algorithm of some kind? Do you know if your smart TV uses AI? Are we really just going to call all software AI, like was suggested earlier?
As flattered as I am to make someone flabbergasted, reading and reasoning are often mentioned in the same sentence as things learned by LLMs.I'm actually flabbergasted that you would casually run linguistic competence and general reasoning together.
Recommendation systems are not typically built on the type of AI we're talking about.For funsies, here's a mistake that AI / applee music made as I'm writing this:
I spent a fair amout of time from Jan.--May. working with Midjourney and Dall-E and Photoshop's generative fill and the problems were well beyond numerically having "5 finger hands". The systems didn't understand how fingers work, period. What current gen are you talking about?
People say, It’s just glorified autocomplete . . . Now, let’s analyze that. Suppose you want to be really good at predicting the next word. If you want to be really good, you have to understand what’s being said. That’s the only way. So by training something to be really good at predicting the next word, you’re actually forcing it to understand. Yes, it’s ‘autocomplete’—but you didn’t think through what it means to have a really good autocomplete