I kinda agree, but I also kinda disagree.
My question would be if "math" is the right tool for that. It can achieve that as a side-effect, but how we express it and talk about it is full of legacy cruft, cargo-culting and general bullshit that makes it not exactly snap into place for all kinds of brain wirings.
Math I believe is not an end in itself. Maybe with that perspective, solutions that satisfy our needs there can be found
In contrast since then we've had almost not noteable physicists or Computer Scientists that I'm aware, we've got a couple, Hawking and Knuth. But apart from that I don't know if there is a single scientist I could point out today that has revolutionized our understanding or even done any real breakthrough work in the field of Physics since Einsteins era.
But my reply was I guess implicitly assuming the post I was replying to was talking about the median level of critical thinking. Your reply is talking about the peaks of creative accomplishment which is not what I was addressing.
You also seem to be restricting yourself to pop science knowledge of who’s made breakthroughs. That’s because our collective understanding of physics has become much more detailed, to the point where it starts to lose the ability to be meaningfully comprehensible to the average layperson.
Consider AdS/CFT, for example: https://en.wikipedia.org/wiki/AdS/CFT_correspondence
There’ve been many major developments just in that area since the early 1970s, to through the late 90s all the way to 2019 (the island formula), with many major contributors like Bekenstein, ‘t Hooft, Susskind, Maldacena, and many less well-known names.
If you resurrected some of the scientists you mentioned, they’d have a lot of work to do to catch up, and making field-changing major breakthroughs would be just as difficult for them as for anyone else alive today.
Something similar is true in CS. There’s been plenty of progress in all fields of CS, but similar to the situation with physics, its nature is not as simple as what the founders of the field were dealing with, so there’s less awareness of it outside the field. Just to pick one small example, Conor McBride’s insight that the derivative of a regular type is the type of its one-hole context ( https://news.ycombinator.com/item?id=34358663 ) is beautiful and kind of amazing, but not a result that you’re going to hear much about outside of PhD programs and the like. CS is chock-full of such work. The entire field of programming language theory has come a long, long way since Turing and Von Neumann’s time, to pick a broader example.
Compared to when?