Why are they gonna be devalued? I was thinking it'd be the opposite: piss them off and you're made. I assume prompting isnt gonna be critical for them to do their job meaning they are hard to replace. That's what come to mind at first.
Edit: if i understand correctly, engineers will build tech with their new computer: GPT.
They need to arbitrate the sometimes conflicting orders from various doctors, and actually deliver care to the patients. It’s a job that if anything will be more in demand and is fungible. As a nurse you’re not trapped in a geographical area or employer, and have a wide variety of career paths.
Engineering is a feast and famine business. Once growth slows, engineers get devalued. If AI is a thing, most of the full stack engineers, front end people and SREs will experience an implosion in demand and salary. No more massages and $500k compensation. See the early 90s movie “Falling Down”.
If nursing is an interest and you’re starting out, it’s a much better career in 2023 than software stuff.
I'm guessing you're a survivor of the dotcom bust, I think you shouldn't necessarily extrapolate from that scenario for the upcoming famine given the profitability of software and that it's a fundamental component of every single aspect of the economy today, but I hear you. Certain skills become useless almost overnight, as a large scale service can provide what an in-house SWE provides at a cheaper cost, and jobs get eliminated.
I didn’t go through that, but I started a few years later.
The issue is growth. Individual prosperity is tied to growth - that’s why engineers are so well paid; they are productive employees priced based on future value. Once growth slows, value crashes.
The big “if” is whether AI is as big of a deal. Personally, i think it’s a field with a lot of hype historically. But nursing is still a great career path, if for no reason other than not being stuck in particular geographical areas.
Hah wow. Same thing was going through my head about 12 years ago, which is why I became an engineer. And as I look at people becoming an engineer now va then, the barrier for entry just seems so much higher, and there is a ton of competition for entry-level jobs.
Its hard to say what the future will be because it highly depends on accessibility to AI compute for the average person. Right now, you need a massive power source to run GPT 4 on pretty specialized compute units. Its unclear how this is going to pan out in the future.
And they will no longer require citizens to serve in that security force in large numbers, a phenomenon that previously incentivized a ruling class in service to the citizens’ concerns at some level.
I'll throw my own low-stress money maker in the ring: Bra-fitting. In addition to the emotional intimacy that's a necessary part of the job, there are aspects of it that would be hard to replicate with LLMs/AI in general because it's a process that involves gathering a lot of tactile information and assimilating it to inform your decisions. Knowing how dense and malleable someone's breast tissue is informs the fitting process a lot and doing it well requires not only accurate assessments but also a sense of how breasts feel. Literally.
Related to that, deafblind and deaf interpretation.
I'd say many trades won't be replaced by AI anytime soon. Electrician, plumber, carpenter, interior decorator, gardener, etc... the environments the work takes place in is just too difficult to automate right now.
They'll eventually become obsolete in a century or so (maybe a few decades based on how fast things move?), but it won't be prompts and computer learning that replace them. It'll be significant advances in robotics and general purpose AI (scenario 1), or a major rethink of how the affected systems are structured (scenario 2).
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[ 2.8 ms ] story [ 24.5 ms ] thread1. Engineers (building tech)
2. Technicians (running the tech and troubleshooting, providing a human interface)
3. Capital Owner/Manager
Nursing will be the 2nd job and it will be devalued, they will prompt an AI for things like diagnoses and they will supply it with data.
Edit: if i understand correctly, engineers will build tech with their new computer: GPT.
They need to arbitrate the sometimes conflicting orders from various doctors, and actually deliver care to the patients. It’s a job that if anything will be more in demand and is fungible. As a nurse you’re not trapped in a geographical area or employer, and have a wide variety of career paths.
Engineering is a feast and famine business. Once growth slows, engineers get devalued. If AI is a thing, most of the full stack engineers, front end people and SREs will experience an implosion in demand and salary. No more massages and $500k compensation. See the early 90s movie “Falling Down”.
If nursing is an interest and you’re starting out, it’s a much better career in 2023 than software stuff.
The issue is growth. Individual prosperity is tied to growth - that’s why engineers are so well paid; they are productive employees priced based on future value. Once growth slows, value crashes.
The big “if” is whether AI is as big of a deal. Personally, i think it’s a field with a lot of hype historically. But nursing is still a great career path, if for no reason other than not being stuck in particular geographical areas.
Related to that, deafblind and deaf interpretation.
They'll eventually become obsolete in a century or so (maybe a few decades based on how fast things move?), but it won't be prompts and computer learning that replace them. It'll be significant advances in robotics and general purpose AI (scenario 1), or a major rethink of how the affected systems are structured (scenario 2).