61–70 of 622 posts
Im no Alan Turing but I have my own definition for AGI - when I come home one day and there's a hole under my sink with a note "Mum and Dad, I love you but I cant stand this life any more, Im running away to be a smoke machine in Hollywood - the dishwasher"
Im no Alan Turing but I have my own definition for AGI - when I come home one day and there's a hole under my sink with a note "Mum and Dad, I love you but I cant stand this life any more, Im running away to be a smoke machine in Hollywood - the dishwasher"
Why do you focus on physical work task, and not knowledge tasks, on some of which AI is good/better than many humans?
"We will have better and better models," wrote OpenAI CEO Sam Altman in a recent Reddit AMA. "But I think the thing that will feel like the next giant breakthrough will be agents." Is this certain? Are Agents the right direction to AGI?
If by agents you mean systems comprised of individual (perhaps LLM-powered) agents interacting with each other, probably not. I get the vague impression that so far researchers haven’t found any advantage to such systems — anything you can do with a group of AI agents can be emulated with a single one. It’s like chaining up perceptrons hoping to get more expressive power for free.
Isn't that literally the cause of the success of deep learning? It's not quite "free", but as I understand it, the big breakthrough of AlexNet (and much of what came after) was that running a larger CNN on a larger dataset allowed the model to be so much more effective without any big changes in architecture.
> The AGI bubble is bursting a little bit I'm surprised that any of these companies consider what they are working on to be Artificial General Intelligences. I'm probably wrong, but my impression was AGI meant the AI is self aware like a human. An LLM hardly seems like something that will lead to self-awareness.
"We will have better and better models," wrote OpenAI CEO Sam Altman in a recent Reddit AMA. "But I think the thing that will feel like the next giant breakthrough will be agents." Is this certain? Are Agents the right direction to AGI?
They've simply run out of data to use to fabricate legitimate-looking guesses. They can't create anything that doesn't already exist.
Garbage-in was depleted.
And our current AI is just pattern based intelligence based off of all human intelligence, some of that not being real intelligent data sources
Earlier quoted context omitted.
Why do you focus on physical work task, and not knowledge tasks, on some of which AI is good/better than many humans?
Probably because there are no intelligent robots around, and movies have set that as the benchmark.
> The AGI bubble is bursting a little bit I'm surprised that any of these companies consider what they are working on to be Artificial General Intelligences. I'm probably wrong, but my impression was AGI meant the AI is self aware like a human. An LLM hardly seems like something that will lead to self-awareness.