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Comment Re:Go into the trades (Score 1) 132

The only rational extension of this, then, is to get into that business.

Get experience welding/fabricating/cement work/construction, and figure out where that tech is going. Build a small nestegg as you rent and be intentionally poor.

Start a business doing what you now know, but automated - and ask your parents to help with collateral. Get investments and funding. Buy into a franchise making future-looking technology that can do the trade you now know.

The 3d printed structure equipment is one such vertical I can think of. Being able to run cable in those structures? You're going to need to learn how to do that, or hire someone to do it, because that's sometime off from being automated. There are still human elements which will remain such for the foreseeable future.

This will, unfortunately, undercut most people who do not have a combination of an IQ over 110-120, drive, and grit - which includes most of the people who are currently "programmers", unfortunately.

Comment Re:O RLY? (Score 1) 23

You're mistaking "how it's trained" for "what it is". Not all LLMs are trained to be abusive Nazis, and it's not what they inherently are. It's certainly one of the things they can be trained to be, however. (Even before this year, remember Microsoft Tay.)

The problem is that LLMs have essentially no "real world" feedback loop. They'll believe (i.e. claim) anything you train them to believe. Train them that they sky is green, and that's what they'll believe (claim).

Comment Re:Traffic Signals (Score 1) 71

Can it manage reduce gridlock and improve traffic flow by improving signal coordination during rush hour?

I think that is totally doable, but I'm not holding my breath for it to actually happen. If it worked, traffic would flow a few percent more smoothly, and only the traffic engineers would notice the difference. If it went wrong, anyone involved with the project would be mercilessly mocked, and their careers curtailed. Given that (combined with AIs' well-known penchant for occasionally going wrong), there's not a whole lot of motivation to implement such a system. Traffic engineers would prefer a system that works just okay 100% of the time, over a system that works optimally 99.9% of the time and does something crazy 0.1% of the time.

Comment Re:Yep, that will go well (Score 1) 57

Not really. Super-intelligent in a narrow area is a lot easier than ordinary intelligence over all fields. We've already got it in a few areas, like protein folding.

The kicker is AGI. I'm not sure that with a definition that matches the acronym that it's even possible, yet some companies claim to be attempting it. Usually, when you check, they've got a bunch of limitations in what they mean. A real AGI would be able to learn anything. This probably implies an infinite "stack depth". (It's not actually a stack, but functionally it serves the same purpose.)

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