It amazes me that as famous as the concept of the tech singularity has become, how little its implications enter most people’s thoughts. When most people talk about the future, they do it without any regard for its implications. Even more amazingly, when it comes to academics and intellectuals paid to think about the future, almost none of them ever do. I’ve yet to see an Economist who seems to know about the concept. When Economists make predictions about the effect of technology on our economic future, they are far more likely to reference trends from the early 20th, or even 19th century.
I suspect all the problems and opportunities the tech singularity will create won’t be dealt with in advance in a planned orderly fashion. Rather it will be like March 2020 with Covid, and suddenly we’ll be scrambling for emergency responses to a brand new reality.
I’m a former singularitarian, and sadly, we live in a universe that will not be seeing a technological singularity.
Moore’s Law has been dead for over a decade, tech isn’t advancing like it did when we were kids, and we’ve reached the hard physical limits of electronic transistor technology. Even if we manage to get one of the proposed alternatives to work (photonics, spintronics, plasmonics, etc), the most we’ll see is one or two more price-performance doublings before those hit a wall too.
The technological curve isn’t exponential, it’s sigmoid. Those economists know what they’re talking about because they’ve internalized Alvin Toffler’s “Limits to Growth” as a prerequisite for futures studies.
Holy shit, finally someone else who gets what i’m saying!
I completely agree. Moore’s law is dead, photonic computing and graphene transistors (which i’ve heard are set to replace it) probably won’t be here for a while, i agree that tech has slowed down, and overall, things are not looking good.
I am very scared of the possibility of a long period of slow, incremental growth. But unfortunately, i think deep down i know it’s a very real possibility. The world of 2030 may look pretty much the same as today, with 2040 not looking much different than that.
I’m a former singularitarian,
I’m glad to see that a former singularitarian has seen the truth. While i wasn’t too deep into the Kurzweil Koolaid, i did at one point think that we were getting AGI in a matter of a couple decades. With the slowdown of computing progress, that clearly isn’t happening.
The thing is the human brain is very small and very efficient and has some limits on what it is made from being biological in nature.
As the human brain exists we know it is possible to make. So if we make something as equally as functional then whatever we make we just make a new version 10 times as big.
The problem is making that first artifical brain, but when we make that I don’t see how we couldn’t have an explosion in intelligence.
Which is why neural network computer science needs psychologists and sociologists to regulate it.
It’s only a matter of time before corps start trying to simulate human brains, but even the smaller models deserve at least the same level of consideration that we give to animals.
Human brain is not very efficient. It just barely made efficient enough to start civilization - it did not have time to evolve within civilization to become more intelligent. Think about how more intelligent we would be if we were to continue evolving in the same direction of smart civilization builders for another million years.
I can’t find a book called Limits to Growth by Alvin Toffler. Were you thinking of the Donella Meadows et al book of that title, or some other book by Toffler? Or has my google-fu just failed me? If the latter I’d love a link or something so I can check it out.
It amazes me that as famous as the concept of the tech singularity has become, how little its implications enter most people’s thoughts. When most people talk about the future, they do it without any regard for its implications. Even more amazingly, when it comes to academics and intellectuals paid to think about the future, almost none of them ever do. I’ve yet to see an Economist who seems to know about the concept. When Economists make predictions about the effect of technology on our economic future, they are far more likely to reference trends from the early 20th, or even 19th century.
I suspect all the problems and opportunities the tech singularity will create won’t be dealt with in advance in a planned orderly fashion. Rather it will be like March 2020 with Covid, and suddenly we’ll be scrambling for emergency responses to a brand new reality.
I’m a former singularitarian, and sadly, we live in a universe that will not be seeing a technological singularity.
Moore’s Law has been dead for over a decade, tech isn’t advancing like it did when we were kids, and we’ve reached the hard physical limits of electronic transistor technology. Even if we manage to get one of the proposed alternatives to work (photonics, spintronics, plasmonics, etc), the most we’ll see is one or two more price-performance doublings before those hit a wall too.
The technological curve isn’t exponential, it’s sigmoid. Those economists know what they’re talking about because they’ve internalized Alvin Toffler’s “Limits to Growth” as a prerequisite for futures studies.
Holy shit, finally someone else who gets what i’m saying!
I completely agree. Moore’s law is dead, photonic computing and graphene transistors (which i’ve heard are set to replace it) probably won’t be here for a while, i agree that tech has slowed down, and overall, things are not looking good.
I am very scared of the possibility of a long period of slow, incremental growth. But unfortunately, i think deep down i know it’s a very real possibility. The world of 2030 may look pretty much the same as today, with 2040 not looking much different than that.
I’m glad to see that a former singularitarian has seen the truth. While i wasn’t too deep into the Kurzweil Koolaid, i did at one point think that we were getting AGI in a matter of a couple decades. With the slowdown of computing progress, that clearly isn’t happening.
The thing is the human brain is very small and very efficient and has some limits on what it is made from being biological in nature.
As the human brain exists we know it is possible to make. So if we make something as equally as functional then whatever we make we just make a new version 10 times as big.
The problem is making that first artifical brain, but when we make that I don’t see how we couldn’t have an explosion in intelligence.
How exactly are we supposed to replicate the human brain, when we barely understand it?
We wasn’t able to understand fire and we replicated that.
Moreover, just because we don’t completely understand it now doesn’t mean we never will.
Which is why neural network computer science needs psychologists and sociologists to regulate it.
It’s only a matter of time before corps start trying to simulate human brains, but even the smaller models deserve at least the same level of consideration that we give to animals.
I get what you’re trying to say, but making fire and understanding the human brain are not even remotely on the same level.
We do not have task of replicating brain, only intelligence. And even there it is not replicating that we want or we do.
Human brain is not very efficient. It just barely made efficient enough to start civilization - it did not have time to evolve within civilization to become more intelligent. Think about how more intelligent we would be if we were to continue evolving in the same direction of smart civilization builders for another million years.
Okay. If anything that makes it more likely will with have some huge intelligence jump
I can’t find a book called Limits to Growth by Alvin Toffler. Were you thinking of the Donella Meadows et al book of that title, or some other book by Toffler? Or has my google-fu just failed me? If the latter I’d love a link or something so I can check it out.
No, that’s my bad. For some reason I was also thinking of Alvin Toffler’s “Future Shock” and got the authors mixed up. XD
Limits to Growth predicts collapse though, so I rather hope it’s not accurate
Interesting to see this statement when LLMs today are so powerful, and like just 3 years ago, nobody even heard about ChatGPT.
If we were on the singularity timeline we’d have actual AI at this point, not just Big Autocomplete.
It is actual AI, and it is very good one. It is just not AGI, yet.
People make mistakes associating method of training with final result. Plus, are you sure that big part of your intelligence is not autocomplete?
From the linked paper published in 1993:
30 years was last year. So, he died because he was upset that his most famous prediction did not happen :(
I’d say so far so good. We do have the technology needed 30 years later.