That’s a very weird statement to make. Do you think you have a soul or something? Otherwise how is your own Intelligence something a computer can’t replicate?
Imagine an amoeba that can only detect light and dark. Its observable universe is a simple gradient. But the cells that are used in its perceptual system cannot be described in a gradient. I think that probably scales up indefinitely.
We confuse what we see for all that exists because of our recent history and scientific advances. The triumph of science comes from focusing solely on what we can see and reason about and improving our vision because thats what we have control over, but it doesn’t mean we see everything. I think true intelligence originates from something we can’t see. You can call it a soul, or call it a scaled up amoeba cell, but I personally think the origin of true intelligence and qualia is from some weird very very old evolutionarily created thing we can’t see (and I think other animals have similar invisible perceptual machinery somewhere, I don’t think it’s just a human thing).
I suppose there is a discussion to be had about what "true intelligence" is and whether some or most human beings have it in the first place.
Gödel proved it’s impossible for any deterministic system to determine its own correctness close to a hundred years ago. Whatever we’re doing when we say an output A is “right” and output B is “wrong” is fundamentally different than what a propositional deterministic system does, regardless of how large or chaotic or well fitted to expected output it is.
What qualifies as “true intelligence” is the core issue here, yes, and transformers don’t qualify. That doesn’t mean they aren’t valuable or can’t give correct results to things much faster and better than humans, but I think anything we could deliberately design inevitably ends up being deterministic and subject to the introspective limitations of any such system, no matter how big or all encompassing.
I think we’re going to create better and more comprehensive “checkpoint”/“savepoints” for the results of collective intelligence, but that’s different than the intelligence itself.
> Gödel proved it’s impossible for any deterministic system to determine its own correctness close to a hundred years ago.
I don't think non-deterministic systems fare much better. At the core, completeness is a quantitative problem, not a qualitative one. In order to fully understand and analyze a system of a certain size, there is no way around the simple fact that you need a bigger system. There are more than ten things to know about ten things, so if you only have the ten things to play with, you will never be able to use them to represent a fact that can only be represented using eleven things. Gödel's theorem pushes this to infinity, which is something that we are notoriously poor at conceptualizing. I think this just obfuscates how obvious this limitation is when you only consider finite systems.
Which brings me to the core disagreement that I think we have, which is that you appear to believe that humans can do this, whereas I believe they blatantly cannot. You speak of the grounding problem as if the human brain solves it. It doesn't. Our reasoning is not, has never been, and will never be grounded. We are just pretty damn good at lying to ourselves.
I think that our own capacity for introspection is deeply flawed and that the beliefs we have about ourselves are unreliable. The vast array of contradictory beliefs that are routinely and strongly held by people indicates that the brain reasons paraconsistently: incoherence, contradiction and untruth are not major problems and do not impede the brain's functioning significantly. And so I think we have a bit of a double standard here: why do we care about Gödel and what deterministic systems can or cannot do, in a world where more than half of the population, but let's be honest, it's probably all of us, is rife with unhinged beliefs? Look around us! Where do you see grounded beliefs? Where do you see reliable introspection?
But I'll tell you what. Evolution is mainly concerned with navigating and manipulating the physical world in a reliable and robust way: it is about designing flexible bodies that can heal themselves, immune systems, low-power adaptable neural networks, and so on. And that, strangely enough, is not something AI does well. Why? My theory is that human intelligence and introspection are relatively trivial: they are high impact, for sure, but as far as actual complexity goes, they are orders of magnitude simpler than everything else that we have in common with other animals. Machines will introspect before they can cut carrots, because regardless of what we like to think about ourselves, introspection is a simpler task than cutting carrots.
I think this explains the current trajectory of AI rather well: we are quickly building the top of the pyramid, except that we are laying it directly on the ground. Its failure will not be intelligence, introspection or creativity, it will be mechatronics and the basic understanding of reality that we share with the rest of the animal kingdom. AKA the stuff that is actually complicated.
Our perception of the physical world is itself an evolved construct. The wider thing that perception is fitting is something I don’t think we can fit a machine to. I think we can only fit it to the construct.
I get where you’re coming from/appreciate the argument, and you may be right, but I‘ve come to appreciate the ubiquity of hidden context more and more/lean that way.
So, I really don’t get why people think AGI is impossible.
I mean, I have hope that it won’t ever happen, but not because I suspect it is impossible.
However I do think it’s quite possible and likely that we’ll create mimics that convince most people they’re intelligent. But I think that’s a weird type of reflection/anything we can make is limited to mirroring our observable past and existing collective thought and can never be truly introspective, because true introspection requires evolutionary context and hidden motivation you can’t transfer.
It doesn't seem very logical to think that because evolution took so long to get us to where we are now, we consequently won't be able to design an intelligent AGI system.
Strictly speaking, it is for you to say why you think that a digital computer, which is nothing like a human, can be intelligent like a human.
Btw, I see this quip about souls often on HN, in response to comments that AGI is impossible and it is invariably introduced in the conversation by the person arguing that AGI is possible. I have never, ever seen anyone argue that "digital computers can't be intelligent because they don't have a soul". I don't even know where that "soul" bit comes from, probably from something someone said centuries ago? In any case it's irrelevant to most modern conversations where most people don't believe in the supernatural, and have other reasons to think that AGI may be impossible.
And why wouldn't they? For the time being, we don't have anything anyone is prepared to call "AGI". We also don't have a crystal ball to see into the future and know whether it is possible, or not. For all we know, it might be a theoretical possibility, but a practical impossibility, like stable wormholes, or time travel, or the Alcubierre Drive. We will know when we know, not before.
Until then, invoking "souls", or any other canned reply, only seems to serve to shut down curious conversation and should be avoided.
To say it in very plain English: you don't know if AGI is possible, you only assume it to be, so let's hear the other person say what they assume, too. Their opinion is just as interesting as yours, and just as an opinion.
Essentially him and his crowd have been trying to create a rationally grounded purely logical non contradictory moral framework for action from axiomatic first principles (he’s not the first or the last to do this), and they believe such a system is essential if AGI comes to be.
I personally think AGI is impossible, his purely logical moral system is impossible, and think what he’s working on is not applicable to current AI (I think he knows this, but his conclusion seems to be that the path to AGI is out of the bag/was made incredibly foolishly and should have been constructed differently with more ability to add guardrails)
But I do think the high level abstract way he thinks is fruitful/very valuable, and a good moderating counterbalance to the frenzied “harder better faster stronger” ML stampede that’s not really thinking about the ramifications of what they’re doing with any sort of discipline.