As a software engineer/data scientist who has spent quite a while to find some good AI work, this sounds like absolute bullshit. Most companies don’t need AI. Prompt engineer seems like a niche thing, I can’t imagine that most companies really need someone who does that. It really frustrates me that these bullshit articles keep coming out without any sense or reason. AI is cool technology (imo), but currently it’s just the latest bait for CEOs, managers, etc. Somehow these kinda people are just so vulnerable for hype words without ever thinking more than as second about how to use it or whether it’s even useful.
To add to this, even when they need AI work, they don’t look for actual AI specialists. What they do is take one person who’s done some random ML work and a bunch of random junior devs and that’s the “AI team”.
That’s very closely related to something I’ve come to think about tech: nerd equivalency. If there is a computer involved, then a nerd is required and they are all interchangeable.
Basically, someone says “we’re not moving fast enough, hire another nerd!” and nobody in the chain of command or in the hiring process has a clue which particular skills are required, assuming that everyone can do everything.
That’s why so many corporate projects have what amounts to random people doing randomly assigned work producing insecure, unreliable products with obscure and even hostile UIs.
AI is cool technology (imo), but currently it’s just the latest bait for CEOs, managers, etc. Somehow these kinda people are just so vulnerable for hype words without ever thinking more than as second about how to use it or whether it’s even useful.
I think that’s a general problem with most technology that is fundamentally about computing.
People outside any field have only the barest grasp of that field, but the problems are so much worse as soon as computers are involved. They are so ubiquitous and so useful to so many people with little or no training or understanding that everyone just succumbs to a form of magical thinking.
As a software engineer/data scientist who has spent quite a while to find some good AI work, this sounds like absolute bullshit. Most companies don’t need AI. Prompt engineer seems like a niche thing, I can’t imagine that most companies really need someone who does that. It really frustrates me that these bullshit articles keep coming out without any sense or reason. AI is cool technology (imo), but currently it’s just the latest bait for CEOs, managers, etc. Somehow these kinda people are just so vulnerable for hype words without ever thinking more than as second about how to use it or whether it’s even useful.
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By using big data on the IOT of course!
To add to this, even when they need AI work, they don’t look for actual AI specialists. What they do is take one person who’s done some random ML work and a bunch of random junior devs and that’s the “AI team”.
That’s very closely related to something I’ve come to think about tech: nerd equivalency. If there is a computer involved, then a nerd is required and they are all interchangeable.
Basically, someone says “we’re not moving fast enough, hire another nerd!” and nobody in the chain of command or in the hiring process has a clue which particular skills are required, assuming that everyone can do everything.
That’s why so many corporate projects have what amounts to random people doing randomly assigned work producing insecure, unreliable products with obscure and even hostile UIs.
Not only that, but these “bootcamps” aren’t exactly going to be churning out the highly skilled people needed to really make good use of AI systems.
I think that’s a general problem with most technology that is fundamentally about computing.
People outside any field have only the barest grasp of that field, but the problems are so much worse as soon as computers are involved. They are so ubiquitous and so useful to so many people with little or no training or understanding that everyone just succumbs to a form of magical thinking.
A: starts spouting technobabble
B: dummy mode on…
Not needing isn’t the same as won’t hire and allocate vast amounts of resources.
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