1 Hindsight bias? Quite a diagnosis there. I never specified the level of those algorithms.
2 Which part of theoretical physics is not math? Experiments confirm or reject theoretical conclusions and points theoretical work in different directions. But that theoretical work is in the end symbol processing - something that computers are pretty good at. There could be a variety of ways for a computer to decide if a theorem is interesting just as for a human. Scope, generality and computability of the theorems could be factors. Input Newtonian mechanics and the mathematics of 1850 and output Hamiltonian mechanics just based on the generality of that framework.
1 Hindsight bias? Quite a diagnosis there. I never specified the level of those algorithms.
I have, in my reply: probably AGI-level, i.e. too far into the haze of the future to be considered seriously.
2 Which part of theoretical physics is not math?
Probably the 1% that counts the most (I agree, 99% of theoretical physics is math, as I found out the hard way). It's finding the models that make the old experiments make sense and that make new interesting predictions that turn out to be right that is the mysterious part. How would you program a computer...
The trends are clear, more and more work that was previously done by humans are being shifted to automated systems. Factories with thousands of workers has been replaced by highly efficient facilities containing industrial robots and a few human operators, bank tellers by online banking, most parts of any logistics chain by different types of automatic sorting, moving, and sending mechanisms. Offices are run by less and less people as we're handling and processing fewer and fewer physical documents. In any area less people than before are needed to do the same work as before. The world is becoming automated.
These developments are not only here to stay - they are accelerating. Most of what is done by humans today could easily be done by computers in a near future. I would personally guess that most professions existing today could be replaced by affordable automated equivalents within 30 years. My question is: What jobs will be the last ones to go, and why?
Often education is pointed out as safe bet to ensure being needed in the future, and while that is true its not the whole story. First of all, in basically all parts of the world the fraction of the population with an academic degree is growing fast. Higher education will probably not be as good as a differentiator in the future. Second, while degrees in the fields hot in the future is hot in the future there is no guarantee that the degrees hot today will be of any use later on. Third, there is a misconception that highly theoretical tasks done by skilled experts will be among the last to go. But due to their theoretical nature such tasks are fairly easy represent virtually.
Of course as we progress technologically new doors are opening and the hottest job year 2030 might not even exist today. Any suggestions?