I bet for a short golden age where AI will reap the low hanging fruit of easy (for a computer) cross-referencing and inference. And then a dark age with none interested in putting new ideas out in the field. Hopefully, I am wrong.
I bet for a short golden age where AI will reap the low hanging fruit of easy (for a computer) cross-referencing and inference. And then a dark age with none interested in putting new ideas out in the field. Hopefully, I am wrong.
I am noticing the same thing at work, in software development. First, it's a lot of "Holy crap, Fable just saved us 10% of RAM usage across all our apps!", then it's becomes "we're not looking for as many junior developers", and soon it will be "no one really knows what this code does, except for the AI".
Soon no one uses it either and most places close up shop.
Could very well be true.
For example, will anyone take on the Riemann hypothesis now, knowing that AI might solve it any day. But then, if AI can never solve it, we will have lost out on all the human effort that would have given us great new theories and insights along the way.
All the work that would give rise to new discoveries might now never even get started. That is depressing.
There are probably people trying to solve it using AI just now. The way forward is probably human AI cooperation.
That's a pretty nuanced answer and I suspect you are more likely to be right than anybody picking either option in isolation.