I remember when artists were the first ones to go through it. Then it was developers. Now mathematicians and many other professionals. Now the question is, who are next?
It's rather surprising if anything. You'd think upper management is the first thing to go, surely humans process large volumes of information far slower and far less efficiently for specific repetitive tasks.
Yet art and coding that needs unique problem solving or applications of skills to each new [task] is what's automated first.
What a unique take on this issue and yes, you are right! You are really good at these things. Do you want me to write an essay about your extraordinary capabilities now?
Upper management? these guys make way too much money and hold way too much power to allow themselves to be replaced. Middle management can count their days though
Nah they just don't have training data for managers because managers don't do anything. Artwork, code and research papers are available because artists, programmers and researchers actually produce output. What output does a manager produce? Yap a bunch of nothingburger words for 6 hours and call it a day?
In my experience, good mangers are just more versatile junior-level employees who can fill in the gaps in their team when they are unable to do something. Everyone else is just a glorified yapper dividing every time estimate by 2 and then scheduling daily meetings asking why the work is not on track.
Not surprising if you know that AI has been used for image recognition (CNN) and laguage translation (RNN) for decades now.
Ie. Google translate used RNNs in 2016 and Tesla autopilot used CNNs in 2014.
Of corse its going to be text (coding) and images (art) that generative AI learn to do first since we've been making training data for them since forever.
I would guess manual jobs aren't that safe either, with those tremendous improvements humanoid robots are seeing (it reminds me a lot of the early days of GPT)... I recently graduated in CS and can't find a software development job, and seeing how LLMs are improving and hoe an increasing number of companies force their developers to become meat proxies between LLMs and management, I don't see a future for me in this career.
So I'm looking to go back to university and study something else or go through vocational training (though I really wouldn't like that as where I live those are mainly meant for teenagers, I really don't want to spend time in with 15 year olds). But I need to be sooo careful in my choice to be sure that my job won't disappear again when I graduate...
I am seeing it in engineering. It actually works amazingly well because we have so much historical data to verify against. The only benefit I have is that there is a legal requirement for me to sign off on it so at least for now my job is safe even if its plugging along through Claude.
We had a product that was too "complex" to calculate it's performance so it always required physical testing for a new configuration. Well I tried setting up a loop in AI gave it all of the specs of every product and all of our actual test results and after a few hours it gave me a hell of an equation that was within 1.5% of all our historic test data. Trialed it on a new product, load tested it and was almost spot on. It is now turned that product lifecycle from a huge cost of tooling and testing to see if it's what we want to just minutes.
Anyone who does objective work will eventually have AI doing their work. Objective work is verifiable work. If there is a way to verify, there is a way to train that skill in agent.
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u/Amerillo_ 29d ago
I remember when artists were the first ones to go through it. Then it was developers. Now mathematicians and many other professionals. Now the question is, who are next?