It will shift a lot of human effort from generative to review. For example the core role of an engineer in many ways already is validation of a plan. Well that will become nearly the only role.
the core role of an engineer in many ways already is validation of a plan.
I disagree, this implies that AI are doing a lot more than they actually are. Before you design the physical layout of some thing, you have to identify a problem, and identify guidelines and empirical metrics against which you can compare your design to determine efficacy. This is half the job for engineers.
There’s one step of the design process that I see current AI completing autonomously (implementation), and I view it as nontrivial to get the technology working higher up on the “V”.
Agreed. Its a more impactful on software than physical engineering (untill robots can build more arbitrary objects) but that is my point, implementation is only a small part of the job.
That assumes that the classes of problems that AI’s can solve remains stagnant. I don’t think that’s a good assumption, especially given that GPT4 can already self-review and refine its output.
It will take a very long time for people to believe and trust AI. That’s just the nature of trust. It may well surpass humant in always soon, but trust will take much more time. What would be required for an AI designed bridge be accepted without review by a human engineer?
It will shift a lot of human effort from generative to review. For example the core role of an engineer in many ways already is validation of a plan. Well that will become nearly the only role.
I disagree, this implies that AI are doing a lot more than they actually are. Before you design the physical layout of some thing, you have to identify a problem, and identify guidelines and empirical metrics against which you can compare your design to determine efficacy. This is half the job for engineers.
There’s one step of the design process that I see current AI completing autonomously (implementation), and I view it as nontrivial to get the technology working higher up on the “V”.
Agreed. Its a more impactful on software than physical engineering (untill robots can build more arbitrary objects) but that is my point, implementation is only a small part of the job.
That assumes that the classes of problems that AI’s can solve remains stagnant. I don’t think that’s a good assumption, especially given that GPT4 can already self-review and refine its output.
It will take a very long time for people to believe and trust AI. That’s just the nature of trust. It may well surpass humant in always soon, but trust will take much more time. What would be required for an AI designed bridge be accepted without review by a human engineer?
We’ll probably see sooner or later.