By 2042 we’re likely to have single-atom transistors in consumer devices, while people mid-career now are likely to be retiring or getting radical life extension to confuse all this even further, and newborns today will be just about to graduate from universities.
Will we have AI as general-purpose and flexible as a human, even if only limited to an IQ of 85? Dunno, but even limited to that IQ an AGI would render about 15% of the population permanently unemployable, which would be enough to cause all sorts of social and political problems by itself.
But I think the limit on AGI right now isn’t compute resources, it’s that we don’t know the right algorithms to make the AI we have as data-efficient as humans (or even, AFAICT, dogs, cats, or mice).
While I agree to a certain extent on this premise, there will still be some areas that AI won’t replace because humans also have an emotional value component.
Consider if you’d rather have a massage from a robut or person. Or, if you are infirm and would prefer a caretaker who is human or machine. It’s not just a matter of processing data when humans are emotional creatures.
If anything, AGI may free up humans to focus on human relational jobs which we’re much more evolved to be good at and value.
Sure, I’m also implicitly assuming robotics will improve. At some point — don’t know when — we can’t tell the difference any more, and at that point, the humans indistinguishable from machines are likely to be made redundant by the machines.
So if you know it’s a machine, it will inherently change the subjective interaction. If you’re saying that it wont matter because we will get to a point where humans and machines are indistinguishable, that’s implying robots will be emotional and no longer just processing data in the way we currently think of AGI. Essentially it means they will be conscious with subjective experience of their own or just philosophical zombies. Both are essentially fictitious thought experiments at this point.
Currently, yes, there's an innate difference, but it's only fictitious that there won't be a difference until it's not. It's plausible speculation. Writing it off as fictitious as of now feels like an "ostrich in the sand" means of molding around a static perception of reality.
Things will change, we're not special, labor as we know it will be replaced, machines will at some point acquire the same abilities as us, and we'll have to strive to figure out as a whole if we need to change the means required to carry on and/or individually adapt/overcome such sea changes in labor/income.
It will probably cause many issues within our societies, but many will also see opportunities. It's going to be a lot of grey, likely more so than now.
I don't think anyone has a sufficiently concrete definition of consciousness to even tell either how far we are from that now, nor how to get there from here.
https://kitsunesoftware.wordpress.com/2022/06/18/lamda-turin...
The other examples appear to me as magnifications of mental illness instead of generalizable scenarios, possibly including the Google employee when you consider his background.
AGI will make the vast majority unemployable, it'll be a disaster and those jobs won't simply be replaced by new ones: people who think this haven't thought through it very deeply at all.
I believe the research shows there is a strong psychological component to massage that goes beyond the mechanical manipulation. I guess it would depend on whether somebody uses it for stress relieve or merely recovery.
This is my issue with discussions on tech. People tend to oversimply the problem as if a human is just another rational data input. Massage is more than just mechanically manipulation of the body. Autonomous driving is more than just perception.
Oversimplification leads to wildly optimistic ideas and timelines. I’m not saying they’re impossible, just that the problems are much more complicated than we give them credit.
What I find special about the TNGS is the Darwin series of automata created at the Neurosciences Institute by Dr. Edelman and his colleagues in the 1990's and 2000's. These machines perform in the real world, not in a restricted simulated world, and display convincing physical behavior indicative of higher psychological functions necessary for consciousness, such as perceptual categorization, memory, and learning. They are based on realistic models of the parts of the biological brain that the theory claims subserve these functions. The extended TNGS allows for the emergence of consciousness based only on further evolutionary development of the brain areas responsible for these functions, in a parsimonious way. No other research I've encountered is anywhere near as convincing.
I post because on almost every video and article about the brain and consciousness that I encounter, the attitude seems to be that we still know next to nothing about how the brain and consciousness work; that there's lots of data but no unifying theory. I believe the extended TNGS is that theory. My motivation is to keep that theory in front of the public. And obviously, I consider it the route to a truly conscious machine, primary and higher-order.
My advice to people who want to create a conscious machine is to seriously ground themselves in the extended TNGS and the Darwin automata first, and proceed from there, by applying to Jeff Krichmar's lab at UC Irvine, possibly. Dr. Edelman's roadmap to a conscious machine is at https://arxiv.org/abs/2105.10461
Endless bikeshedding is deemed very important amongst its practitioners, and is pretty lucrative to boot. Even when we never measured the benefits.
Programming with AI is going to just elevate the level of the programmer cognitively just like compilers and high level languages did. It will be an even higher level of abstraction at which developers can operate.
These things are powerful tools but just tools. Same with the “art generators.” So far I see nothing capable of autonomous reasoning at a level that would actually replace the tool wielding operator. Someone still has to hold the hammer.
I think AIs have made some amazing incremental process, but I feel like the fears of being made obsolete are still premature. If you needed to pick though, learning the thing that's replacing you is a good start, so pick AI research or development. For that to be non-viable as a job or career, AIs would need to have the ability to build and improve themselves, and at that point, it's game over, man™.
None of these AI things are going to replace politicians, governments, or economies, and so you still have a vast amount of soft skill careers available as well.