Thats why those Engineering fields have strict rules, often require formal education and someone can even end up in prison if screws up badly enough.
Software is so much easier and safer, till very recently anonymous engineering was the norm and people are very annoyed with Apple pushing for signing off the resulting product.
Highly paid software engineers across the board must have been an anomaly that is ending now. Maybe in the future only those who code actually novel solutions or high risk software will be paid very well - just like engineers in the other fields.
Apple is very much welcome to push for signing off of software that appears on their own store. That is nothing new.
What people are annoyed about is Apple insisting that you can only use their store, a restriction that has nothing to do with safety or quality and everything to do with the stupendous amounts of money they make from it.
Also, people complain all the time about rules and regulations for making stuff. Especially in EU, you can't just create products however you like and let people decide if it is safe to use, you are required to make your products to meet certain criteria and avoid use certain chemicals and methods, you are required to certify certain things and you can't be anonymous. If you are making and selling cupcakes for example and if something goes wrong you will be held responsible. Not only when things go wrong, often local governments will do inspections before letting you start making the cupcakes and every now and then they can check you out.
Software appears to be headed to that direction. Of course du to the nature of software probably wouldn't be exactly like that but IMHO it is very likely that at least having someone responsible for the things a software does will become the norm.
Maybe in the future if your software leaks sensitive information for example, you may end up being investigated and fined if not following best practices that can be determined by some institute etc.
It turns out that Apple is not, in fact, the government.
This is already the case in the UK, and the EU too as far as I’m aware.
Just to be clear, apps have to be notarized/signed to run on an Apple device. For macOS, notorized apps aren't required to be distributed in the App Store. Due to sandbox restrictions, some dev tools are distributed independently.
Or there are two versions: a less capable version for the App Store and a more capable version distributed independently.
Skill and strictness required is only vaguely related to pay, if there is enough people for the job it won't pay amazing, regardless on how hard it is.
> Software is so much easier and safer, till very recently anonymous engineering was the norm and people are very annoyed with Apple pushing for signing off the resulting product.
that has nothing to do with engineering quality, that is just to make it harder to go around their ecosystem (and skip paying the shop fee). With additional benefit of signed package being harder to attack. You can still deliver absolute slop, but the slop will be from you, not the middleman that captured the delivery process
The response "that's why we shouldn't have done it like that!" sounds like a variation on the usual "You're absolutely right! I apologize for any confusion". Why would we want to get stuck in a loop where an AI produces loads of absolute nonsense for us to painstakingly debug and debunk, after which the AI switches track to some different nonsense, which we again have debug and debunk, and so on. That doesn't sound like a good loop.
Wow. What about also, I don't know, self-teaching*? In general, you have to be very arrogant to say that you've experienced all the "real" applications.
* - For instance, today and yesterday, I've been using LLMs to teach myself about RLC circuits and "inerters".
LLMs MAY be a version of office hours or asking the TA, if you only have the book and no actual teacher. I have seen nothing that convinces me they are anything more than the latest version of the hammer in our toolbox. Not every problem is a nail.
In my experience, most TA's are not great at explaining things to students. They were often the best student in their class, and they can't relate to students who don't grasp things as easily as they do--"this organic chemistry problem set is so easy; I don't know why you're not getting it."
But an LLM has infinite patience and can explain concepts in a variety of ways, in different languages and at different levels. Bilingual students that speak English just fine, but they often think and reason in their native language in their mind. Not a problem for an LLM.
A teacher in an urban school system with 30 students, 20 of which need customized lesson plans due to neurological divergence can use LLMs to create these lesson plans.
Sometimes you need things explained to you like you're five years old and sometimes you need things explained to you as an expert.
On deeper topics, LLMs give their references, so a student can and should confirm what the LLM is telling them.
That’s a complete bogus. And LLMs are yes men by default, nothing stops you from overriding initial setting.
So why arent you a master of, I don't know, reupholstery? Because the barrier isn't information, it's you. You're the bottle neck, we all are, because we're humans.
And AI really just does not help here. It's the same problem with professor Google, I can just turn off the computer, and I will. This is how it is for the vast majority of people.
Most people who claim to be self taught aren't even self taught. They did a course or multiple courses. Sure, it's not traditional college, but thats not self taught.
One of the most important factors in actually learning something is humility. Unfortunately, LLM chatbots are designed to discourage this in their users. So many people think they’re experts because they asked a chatbot. They aren’t.
It's delusional and very arrogant of you to confidently asserts anything without proof: A topic like RLC circuits has got a body of rigorous theorems and proofs underlying it*, and nothing stops you from piecing it together using an LLM.
* - See "Positive-Real Functions", "Schwarz-Pick Theorem", "Schur Class". These are things I've been mulling over.
It's a very useful tool of course, but not as good as the software situation.
I literally just had this exact argument; biggest issue is they can be tested for smaller amperages but you just downside the breaker.