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There is no substitute for generation of new workforce – whether young people or robots. Debate can only be had about a) the timeline for supplementing people with robots (and, seeing as robots are a software problem, it's wild to me that people look at e.g. Midjourney evolution in the span of 1.5 years and believe this won't move as well as a human in a decade; yes it is the same problem) and b) legitimacy of austerity strategies and, perhaps, as the trendy folks put it now, degrowth. Even Zeihan, much as I loathe him, points out flaws of even highly successful attempts to weasel out of this predicament. Canada imports skilled immigrants, at like 3% of the nation annually now. Is this sustainable? How many skilled Chinese and Indians are out there? And how many Filipinos do you need to replace one Tsinghua graduate in lifetime tax contribution? But Phillipines, too, has only one big batch left; their TFR is 1.9, and given that these trends appear to accelerate for later comers, it's very probable they'll collapse to 1.2-1.5 in less than 10 years. How many countries can hope to do better than Canada does attracting useful immigrants?
I am not sure how seriously and charitably people peddling immigration as a long-term solution should be taken at this point. They seem either in thrall to a bona fide population replacement conspiracy, trying to do maximum damage in the limited time left (thus I suspect they'll side with AI doomers), or just looking for lost keys under the lamppost, suggesting more of the same to policymakers who are unwilling to hear anything else and perhaps unable to pursue it.
I do not notice them actually calculating net expected contribution of immigrants using any realistic trait distribution analysis (of course this is HBD stuff but you don't even need to explicitly acknowledge HBD, tracking results of previous batches and controlling for selection effects would do enough). It's just appalling, condescending arithmetic – here, Europeans (avg age X), here, young Kenyans (avg age X/2); promise old white farts they will be tended to (if perhaps with a bit of ethnic contempt) in their retirement homes if they vote for importing the latter into cities their nonexistent grandchildren could have kept running, mix and blend. Can this promise be borne out? Of course this is just Kirkegaard, the racist pedophile etc. etc. The question is, how do respectable experts like Dr. Myrskylä conclude something radically different from the same research?
What really gets under my skin, though, is how fertility collapse and its implications are suddenly mainstreamed only now. To be specific, I think it started around 2020, with the BBC headline Fertility rate: 'Jaw-dropping' global crash in children being born. You don't say?
Strange how demographers took ages to notice that the dreaded «population bomb» had its fuse all pissed over by modernity (Ehrlich was very persuasive with his deep voice, I guess). Strange because all the way back in 2004 (and based on much older data), there's been a book The Pentagon's New Map: War and Peace in the Twenty-First Century by one Thomas P. M. Barnett, American geostrategist. It said, for instance:
And so on. I like to quote that book. Barnett is a honest-to-God ideological Globalist, so one gets the feeling he'd have cheerfully advised for replacement migration on some pretext even if he were convinced as I am of the promise of automation. But at least he provides evidence that we had decades to discuss alternative plans, and instead we debated (in English, of course, not in Swahili) whether not having a baby is the best way to cut carbon emissions .
No, it is a financially different problem for the exact same reason that hardware is different than software. Software has infinite do-overs at malleable speed. Hardware has to work in reality. Sure, after enough refining, ML will be able to manufacture a complete car. But how many attempts would it have to undergo first? Even ignoring the iterations on the manufacturing hardware itself, how much money would you have to spend on materials and energy in your tens of thousands of attempts to teach the ML how to manufacture a car? And then there is the political cost. What defect rate will people be willing to put up with from entirely autonomous robotic manufacturing? Almost certainly, it will be a lower rate than what we put up with from humans. Especially if it is from a black box like current ML.
It depends on how you’re doing the iteration. It seems perfectly plausible to do 99% of the ML in a good physics engine (where doing as many iterations as you want are essentially free) and only switching to the real world once you have a system that is pretty good at making cars.
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No. High-fidelity simulations in MuJoCo and such suffice for the most part, and other kinks will be ironed out with learning on fleet data.
There is no need to solve end-to-end manufacturing first, we already have hardware overhang with robots, they will walk and indeed run soon after ML grants them decent cerebellums.
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