Once you have autonomous robots you can use those robots to build more robots leading to an exponential curve. The day they make the first one, we will reach a million in 2-3 years and a billion in 2-4 years after that.
If robots actually replaced all human labour and left nothing for humans to be employed at, then the robots necessarily can do their own resource extraction.
The current cost of a Boston Dynamics Spot is around a year's income, give or take whose income you're measuring against.
If it were able to do any human task at the same rate as a human — and yes, I know it isn't, this is just a anchoring point for the discussion — a group of them would be able to extract and process enough resources in a year sufficient to double their population, all the way from rocks in the ground to a finished deliverable.
n years later, there are 2^n robots. Sure, sure, that's a whole 33 years to go from one total to one per human, not the numbers the other person gave which would need a much shorter (but not wildly implausible) reproduction time of 5-8 weeks, but the point is still valid.
That exponential stops only when some un-substitutable resource is fully exploited, so I'm not sure what the upper limit actually is, but given we exist I assume 8 billion robots is also possible.
These robots can also teleport and charge anywhere or do you predict an expedition to some mine in Africa when they are at the stage where they need some cobalt?
I'm just finding it funny thinking of 15 Spots queuing for a flixbus / greyhound bus because they need to go get some raw material across the continent.
I expect cobalt to be mined in the cheapest possible way.
If that's humans, humans have work[0]. If humans don't have work, the only alternative to robots is, what, well-trained squirrels?
> I'm just finding it funny thinking of 15 Spots queuing for a flixbus / greyhound bus because they need to go get some raw material across the continent.
Me too.
But I expect actual logistics to be much like current logistics, so it would be more like a few Spots loading a standardised intermodal shipping container, a Tesla semi taking it to the port (which is guarded by drones), an automated gantry that puts the container on a cargo ship, a few more robots guarding the cargo ship from pirates (who may well also be robots), the same in reverse at the other end.
[0] You may point to the current conditions of cobalt mines and go "this is bad"; but once was a time when other forms of mining were seen as good solid work, and those with those jobs protested against their mines being closed down. Almost broke the UK when they did that protest, too.
> You don’t have to do all this hand waving about what you think is going to be happening in the near future.
Strange response…
> Just explain why AGI will be in our near. Frankly, I don’t see how from what we have now.
…but OK.
The AI we have now, is already capable of learning from what we do. It's very stupid, in the sense that it takes a huge number of examples, but surveillance is trivially cheap so a huge number of examples is actually very easy to get.
As I wrote in 2016:
"""We don’t face problems just from the machines outsmarting us, we face problems if all the people working on automation can between them outpace any significant fraction of the workforce. And there’s a strong business incentive to pay for such automation, because humans are one of the most expensive things businesses have to pay for.""" - https://kitsunesoftware.wordpress.com/2016/04/12/the-singula...
Compute cost is also important: more compute makes better GenAI images, allows larger models in general, turns near-real-time into actual-real-time (many robot demos you see on YouTube have sped-up footage).
Here's something I wrote in 2018 anchored on iPhone compute cost and some random guesstimate I found for what it would take to have an uploaded human brain running in real time, though I can't remember if I've ever compared it with actual compute improvements since then: https://kitsunesoftware.wordpress.com/2018/10/01/pocket-brai...
So, while I don't know what you mean by "near", I'd put "the economy is going to change radically due to AI" somewhere between "imminent" and "20 years" (±3σ, skew normal distribution with a mode somewhere around 2028-2030).
One of your assumptions is that we will start from 1 robot per year. I believe this is not true. I assume robots will be similar to high end cars in regards to the complexity of manufacturing. Once a company develops a prototype with AGI(mechanically the robots are almost there already, just the control systems and software that's lacking, which is supposed to be solved by AGI) it will rain VC money. The first million will be built by humans. The initial robots will take over the manufacturing only later. Setting up manufacturing that will be able to produce a million units in 2-3 years is possible. Let's say 5 years for a more plausible situation for a million robots to be built. These million will then scale exponentially. Also there is no reason to believe it will be 2^n, it can also be 3^n or 1.1^n or any arbitrary number.
> One of your assumptions is that we will start from 1 robot per year.
Not per year, total. And it's not really an assumption, just a demonstration of how fast exponential growth is.
> I assume robots will be similar to high end cars in regards to the complexity of manufacturing.
Agreed. This is also the framing Musk uses for Tesla's androids.
> Once a company develops a prototype with AGI
I don't think it needs a complete solution to AGI, as other people use the term. First, all three letters of that initialism mean different things to different people — by my standard, ChatGPT is already this because it's general over the domain of text, and even if you disagree about specific definitions (as almost everyone reading this will), I think this is the right framing, as you'd "only" need something general over the domain of factory work to be a replacement factory worker, or general over mining and tunnels to be a miner, or general over the domain of roads and road users to be a driver.
This isn't to minimise the complexity of those domains, it's just that something as general as ChatGPT has been for text is probably sufficient.
> The first million will be built by humans. The initial robots will take over the manufacturing only later.
Perhaps, perhaps not. The initial number made by humans is highly dependant on the overall (not just sticker-price) cost and capabilities, so a $200k/year TCO robot that can do 80% of human manual labor tasks is very impressive, but likely to be limited to only a few roles, probably won't replace anyone in its own factory; while one which has total costs of $80k/year and can do 90% might well replace most (but not all) of the humans in its own factory; and one costing $20k/year all-in and which can do 95% might well replace all the factory workers but none of the cobalt miners or the truck drivers.
"Fully general" is the end-state, not the transition period. But with fully-general, which is a necessary condition for nobody having any more work, we get a very fast transition from the status quo to having one robot per human.
> Setting up manufacturing that will be able to produce a million units in 2-3 years is possible. Let's say 5 years for a more plausible situation for a million robots to be built.
Agreed on both.
> Also there is no reason to believe it will be 2^n, it can also be 3^n or 1.1^n or any arbitrary number.
It's a definitional requirement of exponential growth, 2^n units after n doubling periods. I anchored on a the doubling period being a year just by reference to the cost of an example existing robot, and using that dollar cost as a proxy for equivalent human labor, and I specifically noted that the other poster's estimate corresponded to a 5-8 week doubling period which didn't seem unreasonable to me. Some robot can do each specific task 4.2 times slower against the wall clock and still be just as fast as a human overall because it's working 24/7 rather than 8/5.
What I want to convey is that the growth function will be somewhat similar to
y= c + ax^n (ignoring/collapsing into c the linear and higher order terms) rather than just y= ax^n.
The c here is robots produced via humans. I predict c will easily touch a million in 5 years with or without human help.
Even if the later bots can do only 50% the work of humans, we will still exponentially grow the robots until the humans become a bottleneck. And that 50% capability is also expected to grow exponentially.
Gemini 1.5 pro already beats most humans in most benchmarks, combine it with Sora which has a great visual world model, add some logical reasoning(architecture or scale), memory and embodiment(so it can experiment and test) and you pretty much have the seeds for an agi.
My optimistic/most probable prediction about the growth rate say it's
Regarding the last part:
My bad, I speed read your comment and didn't focus on the exponential calculations. An exponential growth is just x^n. Both x(multiplication rate(?)) and n(units of time) can be manipulated.
We're broadly in agreement, the only part I'd disagree with here is:
> Even if the later bots can do only 50% the work of humans, we will still exponentially grow the robots until the humans become a bottleneck. And that 50% capability is also expected to grow exponentially.
I think most automation since the dawn of the industrial revolution has done 50% or more of the task it was automating, and although yes the impact there is exponential growth, humans are a very rapid bottleneck until the next thing gets automated — Amdahl's law, rather than Moore's.
Whoops, deleted part of my response before submitting.
My optimistic/most probable predictions about the growth rate say it's wild. Like within 5-10 years with the multiple exponentials among different fields you can easily do away with most jobs unless there is a major bottleneck (I don't think there is, there is so much low hanging fruit). I guess that's what the singularity is all about. I don't think this will take multiple decades or centuries in any scenario other than the equivalent of ww3
The discussion is about robots replacing laborers and tradesmen, not all human work. It seems far more likely than humans will maintain control of the corporations that manufacture the robots.
> The discussion is about robots replacing laborers and tradesmen, not all human work.
If that's all they did, it would be just another change to the nature of work, and humans would simply find other roles to fill.
Rapid change is scary, but can be managed, has been managed before — this kind of thing has historically grown the metaphorical economic pie, making everyone better off. If it's either one of "just muscle power" or "just brain power", the other leaves opportunities for humans.
Only a total replacement of all human work causes such a break that we're fumbling around in the dark. ("Fumbling around" is how I see the discussion of UBI: even if it turns out to be right, we don't yet have anything like a good enough model for the details).
> It seems far more likely than humans will maintain control of the corporations that manufacture the robots.
Will they, though? We've already got people (unwisely IMO) putting AI on boards of directors. Yes, it's as much a stunt as anything else, the law prevents them from being treated as "people", but the effect is the same: https://asia.nikkei.com/Business/Artificial-intelligence-get...
It almost makes me wonder if something really intelligent (which is where we are heading according to some) would mean we need as much labor, or things would just be much more efficient ?
I get the feeling less "conventional" robots might be needed someday, rather than more.