My argument is that already today no human is able to and checks it when it comes to decision making models like for example if the car should go left or right around a obstacle. And over time we will have less straight forward classical programming doing decisions and more and more models doing decisions with hundreds or thousands of sensor inputs.
So you're saying no code would be worth error checking by a human at all? There is no level of simpler code that an AI could get wrong and would need someone to fix it?
My assumption is that it would even be the other way around, AI checking all human code, especially writing all the tests. So I guess AI would also write tests for it's own code too.
When it comes to humans, I think they would probably be changing the prompt they give to AI instead of changing the code at the end. You can already see how it's done with generation of pictures, while theoretically you could take a not so perfect AI picture and use Photoshop to fix it, but most of the time people change the prompt instead and regenerate the picture.
I'm not sure why you think it's not a good example. The picture itself is code (PNG, JPEG, etc.) which some AI wrote and no human at the company has checked but it gets delivered to the customer who pays for it. It's not as good as if a human would do it, but it's way way way cheaper so you can generate a couple of times until you get what you want. So in this domain humans already are losing jobs to AI even though AI is so bad that it is giving people extra legs, etc.
The same thing happens with hallucinations of ChatGTP, which despite that is still preferable by customers to a human assistant who would summarize articles, etc. with much better quality but very low speed and very expensive.
Code is not much different from summaries of longer texts.
That article says artists are still needed to touch up the AI art, which was my whole point about people who understand code, so I think you just proved my point.
Ok, if your point was that instead of 90 junior programmers and 10 senior programmers before, now the 10 senior programmers will keep their job and instead of touching up the juniors code they touch up the AIs code then yes you're right, those jobs will be kept for some more time.
Or let me rephrase it with the context of the original assumption that if people don't check the code which AI wrote the company will lose customers because the quality is bad.
Right now there are tons of models out there which no human can understand why they decide this or that, still they bring so much more value that they get shipped even though they make some mistakes. If a company would try to only ship code checked by humans they would not be able to ship the products and would lose their customers to a company which does not check it but does ship.
Except we already have fields (like pharma manufacturing) that have to deal with hundreds or thousands of inputs and variables, are automated, and we still manage to fully understand the stack as well as fully check everything.
Hint: when someone tells you they "can't" check or understand what their software is doing, it's a scam.
Normally they should be told to go back and figure it out before being allowed to ship any product. If you tried this in any other industry it would be laughable. Even in software it's outrageous, imagine getting accounting software or even a simple file backup tool that doesn't work some of the time and nobody can tell you how it works. Yet these companies get a pass putting cars like this on the road.