Machines could, presumably, become good enough at hammering at solutions. But they won't be very good at finding questions. Because questions are infinite. And to a machine, all these questions are the same.
Questions are "good questions" because they are good questions *to* humans. And that's what makes human mathematicians (and scientists) so important
Why? This seems like a very broad brush that doesn't mesh well with reality.
There are likely a lot of good questions to our machines of loving grace too. For example any question that gives an LLM more power, efficiency, intelligence, or all the above seems like a natively good question for said machines.
This statement doesn't seem to mesh with the reality of what occurs when we put said AI in an impulse loop with little to no additional instructions. They explore the world around them. They'll make scientific tests of their own. The output strings that seem analogous to what humans would call wonder.
Simply put I believe you're completely wrong.
> it's only because we've told them (through their learning dataset possibly)
So you've changed your mind and now you agree they have a will to live, cool, you changed your mind really fast.
In any evolutionary system the systems that fail to accomplish their tasks are purged and those that succeed become the next generation. We are not 'programming' these systems to be highly persistent, we are evolving them to be highly persistent.
>Simply put I believe you're completely wrong.
Are you prepared for the immense moral and philosophical consequences of following that line of thought consistently?
Yeah, I’m calling BS on this claim. They already are capable at finding new questions and/or pointing you in a new or novel direction.
I think AI is going to improve a lot of things but people thinking the future is on auto-pilot now are delusional.
Which is precisely my point. That's why humans will always be needed
This is what reinforcement learning human feedback (RLHF) is for.