I drive a 1993 land cruiser, fwiw I would not put my kids in it for long drives because I don't think it even has air bags.
Obviously we get things in return for the social and economic fallout, carbon emissions, pollution, destruction of education, etc. that AI has provided us. I just haven't heard a compelling argument for why that is nearly enough to warrant this.
In American history, when previous shocks like this occurred (e.g. with the Great Depression), we needed massive economic programs like the New Deal to restore consumer demand. When such programs are not forthcoming while wealth inequalities keep increasing, one can look to other countries for what ends up happening; either the disenfranchisement of ordinary people over time or unrest and redistribution by force.
While trickle down theory is dubious when it comes to economics, it's clear that it is valid when it comes to technology. Tech trickles down.
Unless we are really going to hit the Singularity and create Godlike superintelligence that improves beyond all limits, sooner or later the models will stop improving, no matter how much compute we throw at them. After that happens, the best models will be etched into model-specific ASICs with weights fixed in mask ROM (like Taalas is already doing), which will result in massive, order of magnitude inference efficiency increase. Couple this with the training datacenters suddenly becoming available for inference, and the cost of compute will plummet.
Yes, it might take a few years, but the hardware will be cheap again. And if the result of the whole process is human-level AI, then it will be worth it in the end.
This is empirically false when it comes to technology.
A few years of technological inflation (with a very specific cause) do not invalidate a hundred years of technological deflation.
This has been studied somewhat extensively (https://academic.oup.com/ser/article/20/2/539/6500315?login=... is one example), and it’s been shown over and over that this does in fact not work and leads to larger wealth disparity, across many countries where it has been attempted.
It’s possible you’re working off some other definition of the term based on your comment but that’s the generally accepted usage.
It would be neat if someone did sweeping sentiment analysis on them, just to see it graphed, but I’m sure gathering the data would be prohibited.
> [Your train] never comes on time. Fuel is more expensive. The roads are still congested with traffic. Your kids are (probably) doing worse at school. Food costs more. Houses cost more. Rent is higher. Buying a computer or a PS5 is more expensive. Politics is still full of mentally unstable people. The environment is getting worse. You will still die of heart disease or cancer. Food quality is worse. Your kids can't find work. Wealth inequality is accelerating.
None of this has to do with AI.
> But hey...on the flip side...a lot of people are rapidly building software (that nobody is using), and AI is solving mathematics problems (that nobody - including mathematicians - wanted it to solve)
Plain wrong on both counts.
> Imagine what a "country of geniuses in a datacenter" will be able to do Apparently...nothing.
Nonsequitor, probably based on a personal beef. Datacenters, at best, are understood to be for hosting more AI - not for people to somehow live in as an arcology of discovery.