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Joined 1 year ago
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Cake day: June 30th, 2023

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  • 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!



  • 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.