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> What humans being to the table over ChatGPT is Statements like these are premature. ChatGPT is three months old! This is a rapidly advancing field. The capab
by modeless 4y ago
> What humans being to the table over ChatGPT is
Statements like these are premature. ChatGPT is three months old! This is a rapidly advancing field. The capabilities of these models are very likely to be radically different five years from now. Any conclusions drawn now about what value is uniquely human and out of reach for AI may be proven wrong quickly.
- SV_BubbleTime 4y agoAgreed! Anyone not answering with “IDK, but maybe…” is just wasting bandwidth. This Gen1 tech. Most of us are already shocked at how good it is, and it won’t get worse.
- BarryMilo 4y agoYou seem confident that it won't get worse, but it's only as good as its training data. Which is the internet. What happens when the internet is filled with generic Gen1 output? I'm doubtful copy averages can ever lead to anything other than increasing mediocrity.
- barking_biscuit 4y agoIsn't it like Gen3?
- abernard1 4y ago> The capabilities of these models are very likely to be radically different five years from now. This is an article of faith. Specifically, it believes that at some point in the future the current paradigm will result in qualitatively different behaviors than the mimicry these systems (all GPT variants, "Attention is All You Need") currently perform. Much ado has been made of the previous Symbolic AI researchers "moving the goalposts." In this criticism, it is the old guard of AI who is constantly bemoaning the current state of affairs as not real AI. But there is no actual goalpost moving. They have said it wasn't real AI at the beginning, and they are saying it isn't real AI now. Whether or not the symbolists' model was real AI is irrelevant: when you bake in "this is a rapidly moving field" as a hand-wavy explanation for why this may result in AGI, you are the one implying a moving of the goalposts. If it ever turns out that these models need to be qualitatively different, then it will be clear that attention is not in fact all you need. In that eventuality, I fully expect the new guard to hem and haw and find some tricky sophistry to explain why they were right all along, despite qualitative shifts unattributable to adding mountains of new data or connectionist trickery.
- dinkumthinkum 4y agoThis is actually very accurate.
- modeless 4y ago> connectionist trickery I don't know, man, you kind of come off as having a chip on your shoulder about this. I'm not predicting AGI specifically here, and I'm not making any argument about symbolic vs connectionist AI at all. Maybe the model of the future is half symbolic! I'm just saying that asserting that you know exactly which things AI models aren't going to be able to do is pretty foolish at this point.
- abernard1 4y ago> know exactly what these models aren't going to be able to do is pretty foolish at this point This can be said about absolutely any new technology but it does not make it true. It's simply the inscrutability of these tensors that allow people to imagine the intelligence is in there somewhere. The original comment was what humans "bring to the table" over ChatGPT specifically. And that's that they have real intelligence and not memorization. As others have said, these models have been around for many years. Their core innovation is to add more and more data to them like a dictionary and compress those basis functions in the network architecture. This memorization has a limit and is actually the opposite of intelligence. Intelligence or creativity can do more with less information. As per the original comment, this is what human intelligence and creativity is (currently) superior at and what people should prioritize if they don't want to be replaced.
- throwaway675309 4y agoChat GPT is still at its heart GPT technology (with some clever embedding of the running transcript acting as a reoccurring prompt) which is several years old at this point.