just terrific
That’s true in a somewhat abstract way, but I just don’t see any evidence of the claim that it is just around the corner. I don’t see what currently existing technology can facilitate it. Faster-than-light travel could also theoretically be just around the corner, but it would surprise me if it was, because we just don’t have the technology.
On the other hand, the people who push the claim that AGI is just around the corner usually have huge vested interests.
I definitely think that’s remarkable. But I don’t think scoring high on an external measure like a test is enough to prove the ability to reason. For reasoning, the process matters, IMO.
Reasoning models work by Chain-of-Thought which has been shown to provide some false reassurances about their process https://arxiv.org/abs/2305.04388 .
Maybe passing some math test is enough evidence for you but I think it matters what’s inside the box. For me it’s only proved that tests are a poor measure of the ability to reason.
Do you have any expertise on the issue?
I hold a PhD in probabilistic machine learning and advise businesses on how to use AI effectively for a living so yes.
IMHO, there is simply nothing indicating that it’s close. Sure LLMs can do some incredibly clever sounding word-extrapolation, but the current “reasoning models” still don’t actually reason. They are just LLMs with some extra steps.
There is lots of information out there on the topic so I’m not going to write a long justification here. Gary Marcus has some good points if you want to learn more about what the skeptics say.
We’re not even remotely close. The promise of AGI is part of the AI hype machine and taking it seriously is playing into their hands.
Irrelevant at best, harmful at worst 🤷
Stonetoss is a nazi.
Neural networks are about as much a model of a brain as a stick man is a model of human anatomy.
I don’t think anybody knows how we actually, really learn. I’m not a neuro scientist (I’m a computer scientist specialised in AI) but I don’t think the mechanism of learning is that well understood.
AI hype-people will say that it’s “like a neural network” but I really doubt that. There is no loss-function in reality and certainly no way for the brain to perform gradient descent.
I know it’s part of the AI jargon, but using the word “learning” to describe the slow adaptation of massive arrays of single precision numbers to some loss function, is a very generous interpretation of that word, IMO.
I’m a computer scientist that has a child and I don’t think AI is sentient at all. Even before learning a language, children have their own personality and willpower which is something that I don’t see in AI.
I left a well paid job in the AI industry because the mental gymnastics required to maintain the illusion was too exhausting. I think most people in the industry are aware at some level that they have to participate in maintaining the hype to secure their own jobs.
The core of your claim is basically that “people who don’t think AI is sentient don’t really understand sentience”. I think that’s both reductionist and, frankly, a bit arrogant.
I think that’s a very generous use of the word “superintelligent”. They aren’t anything like what I associate with that word anyhow.
I also don’t really think they are knowledge retrieval engines. I use them extensively in my daily work, for example to write emails and generate ideas. But when it comes to facts they are flaky at best. It’s more of a free association game than knowledge retrieval IMO.