What’s holding back AGI is a complete lack of progress toward anything like intelligence. What we have now isn’t intelligent, it’s multi-variable probability.
It’s not that it’s not intelligent, it’s that predictive language models are obviously just one piece of the puzzle, and we’re going to need all the pieces to get to AGI. It’s looking incredibly doable if we figured out how to make something that’s dumb but sounds smarter than most of us already. We just need to connect it to other models that handle other things better.
The biggest hurdle is that we don’t actually know what intelligence really is at all yet, computationally. Most of the history of science has been repeatedly learning “but things were actually more complicated than originally expected,” so making claims that we’re soon to be able to replicate something that we don’t actually properly understand yet may be a bit premature. The desire to replicate human intelligence by a machine has been around since at least the 1200’s brazen heads, and yet for everything we’ve discovered since we’re still just beating our heads against a wall trying to sleuth out what it really is that makes us ‘think.’
Simply throwing computing power at the existing models won’t get us general AI. It will let us develop bigger and more complex models, but there’s no guarantee that’ll get us closer to the real thing.
There is still heat generated by the act of computation itself, unless you use something like reversible computing but I don’t believe there’s any current way to do that.
And even then, superconducting semiconductors are still going to be some ways off. We could have superconductors for the next decade in power transmission and still have virtually no changes to processesors. I don’t doubt that we will eventually do something close to what you describe, but I’d say it’s easily a long way off still. We’ll probably only be seeing cheaper versions of things that already use superconductors, like MRI machines.
Really appreciate the write up! I didn’t know the computing power required!
Another stupid question (if you don’t mind) - adding superconductors to GPUs doesn’t really se like it would make a huge difference on the heat generation. Sure, some of the heat generated is through trace resistance, but the overwhelming majority is the switching losses of the transistors which will not be effected by superconductor technology. Are we assuming these superconductors will be able to replace semiconductors too? Where are these CPU/GPU efficiencies coming from?
Semiconductors are used for transistors because they give us the ability to electrically control whether they conduct or resist electrical current. I don’t know what mechanism you’d use to do that with superconductors. I agree you don’t ‘have’ to have resistance in order to achieve this functionality, but at this time semiconductors or mechanical relays are the only ways we have to do that. My focus is not in semiconductor / IC design either so I may by way off base, but I don’t know of a mechanism that would allow superconductors to function as transistors (or “electrically controlled electrical connections”), but I really hope I’m wrong!
Stupid question probably - is computing power what is holding back general AI? I’ve not heard that.
What’s holding back AGI is a complete lack of progress toward anything like intelligence. What we have now isn’t intelligent, it’s multi-variable probability.
It’s not that it’s not intelligent, it’s that predictive language models are obviously just one piece of the puzzle, and we’re going to need all the pieces to get to AGI. It’s looking incredibly doable if we figured out how to make something that’s dumb but sounds smarter than most of us already. We just need to connect it to other models that handle other things better.
The biggest hurdle is that we don’t actually know what intelligence really is at all yet, computationally. Most of the history of science has been repeatedly learning “but things were actually more complicated than originally expected,” so making claims that we’re soon to be able to replicate something that we don’t actually properly understand yet may be a bit premature. The desire to replicate human intelligence by a machine has been around since at least the 1200’s brazen heads, and yet for everything we’ve discovered since we’re still just beating our heads against a wall trying to sleuth out what it really is that makes us ‘think.’
Simply throwing computing power at the existing models won’t get us general AI. It will let us develop bigger and more complex models, but there’s no guarantee that’ll get us closer to the real thing.
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There is still heat generated by the act of computation itself, unless you use something like reversible computing but I don’t believe there’s any current way to do that.
And even then, superconducting semiconductors are still going to be some ways off. We could have superconductors for the next decade in power transmission and still have virtually no changes to processesors. I don’t doubt that we will eventually do something close to what you describe, but I’d say it’s easily a long way off still. We’ll probably only be seeing cheaper versions of things that already use superconductors, like MRI machines.
deleted by creator
Really appreciate the write up! I didn’t know the computing power required!
Another stupid question (if you don’t mind) - adding superconductors to GPUs doesn’t really se like it would make a huge difference on the heat generation. Sure, some of the heat generated is through trace resistance, but the overwhelming majority is the switching losses of the transistors which will not be effected by superconductor technology. Are we assuming these superconductors will be able to replace semiconductors too? Where are these CPU/GPU efficiencies coming from?
deleted by creator
Semiconductors are used for transistors because they give us the ability to electrically control whether they conduct or resist electrical current. I don’t know what mechanism you’d use to do that with superconductors. I agree you don’t ‘have’ to have resistance in order to achieve this functionality, but at this time semiconductors or mechanical relays are the only ways we have to do that. My focus is not in semiconductor / IC design either so I may by way off base, but I don’t know of a mechanism that would allow superconductors to function as transistors (or “electrically controlled electrical connections”), but I really hope I’m wrong!