masonlee
Hi! Thanks for the conversation. I’m aware of the 2022 survey referenced in the article. Notably, in only one year’s time, expected timelines have advanced significantly. Here is that survey author’s latest update: https://arxiv.org/abs/2401.02843 (click on PDF in the sidebar)
I consider Deep Learning to be new and a paradigm shift because only recently have we had the compute to prove its effectiveness. And the Transformer paradigm enabling LLMs is from 2017. I don’t know what counts as new for you. (Also I wouldn’t myself call it “programming” in the traditional sense— with neural nets we’re more “growing” AI, but you probably know this.)
If you are reading me as saying that generative AI alone scales to AGI, we are talking past each other. But I do disagree with you and think Hinton and others are correct where they show there is already some form of reasoning and understanding in these models. (See https://youtu.be/iHCeAotHZa4 for a recent Hinton talk.) I don’t doubt that additional systems will be developed to improve/add additional reasoning and planning to AI processes—and I have no reason to doubt your earlier assertion that it will be a different additional system or paradigm. We don’t know when the breakthroughs will come. Maybe it’s “Tree of Thoughts”, maybe it’s something else. Things are moving fast. (And we’re already at the point where AI is used to improve next gen AI.)
At any rate, I believe my initial point remains regardless of one’s timelines: it is the goal of the top AI labs to create AGI. To me, this is fundamentally a dangerous mission because of concerns raised in papers such as Natural Selection Favors AIs over Humans. (Not to mention the concerns raised in An Overview of Catastrophic AI Risks, many of which apply to even today’s systems.)
Cheers and wish us luck!
Before Deep Learning recently shifted the AI computing paradigm, I would have written exactly what you wrote. But as of late, the opinion that we need yet another type of hardware to surpass human intelligence seems increasingly rare. Multimodal generative AI is already pretty general. To count as AGI for you, you would like to see the addition of continuous learning and agentification? (Or are you looking for “consciousness”?)
That said, I’m all for a new paradigm, and favor Russell’s “provably beneficial AI” approach!
Seven years ago I would have told you that GPT-4 was sci fi, and I expect you would have said the same, as would have most every AI researcher. The deep learning revolution came as a shock to most. We don’t know when the next breakthrough will be towards agentification, but given the funding now, we should expect soon. Anyways, if you’re ever interested to learn more about unsolved fundamental AI safety problems, the book “Human Compatible” by Stewart Russell is excellent. Also “Uncontrollable” by Darren McKee just came out (I haven’t read it yet) and is said to be a great introduction to the bigger fundamental risks. A lot to think about; just saying I wouldn’t be quick to dismiss it. Cheers.
Ah, I understand you now. You don’t believe we’re close to AGI. I don’t know what to tell you. We’re moving at an incredible clip; AGI is the stated goal of the big AI players. Many experts think we are probably just one or two breakthroughs away. You’ve seen the surveys on timelines? Years to decades. Seems wise to think ahead to its implications rather than dismiss its possibility.
Also, by the way, violating a basic social contract to not work towards triggering an intelligence explosion that will likely replace all biological life on Earth with computronium, but who’s counting? :)
Possibly, due to selective pressure. For those interested in the topic, this excellent paper was written for a broad audience and offers a lot to think about: “Natural Selection Favors AIs over Humans” https://arxiv.org/abs/2303.16200 (find link to PDF in the sidebar)