All hail the trinity.
All people that say all programs are Turing complete, and therefore equivalent, need to be slapped.
https://link.springer.com/article/10.1007/s10817-021-09604-0
Also formal logics are picking up speed, due to being more democratic than conventional proofs and easier to collaborate on.
Well I woke up raging against the smallness of elementary number theory, and wanting to listen to Infected Mushroom. That coffee must have been strong.
Are you a cat-top-phys-logicist?
5 way Rosetta stone of physics-topology-categories-logic-computation, for the luls.
https://arxiv.org/abs/0903.0340
"a general science of systems and processes" is, admittedly, not very catchy though.
lol... Called it!
https://arxiv.org/abs/1912.07339v2
Happy I took time to study some topology this summer. Algebraic topology is all the things I hoped for.
I am not sure I quite get it yet, but a topology of something seems to be usable as a definition to a lot of geometric notions. All of analysis work seems to just be applied topology. And with homotopy type theory, all sorts of data science, machine learning, and statistics work could be made easier and more precise.
Cubical type theory, (a computation friendly HOTT) is not even 2 years old. It is going to be big.
Excellent course, the future of solid software looks bright.
https://frap.csail.mit.edu/main
"What's it all about?
Briefly, this course is about an approach to bringing software engineering up to speed with more traditional engineering disciplines, providing a mathematical foundation for rigorous analysis of realistic computer systems. As civil engineers apply their mathematical canon to reach high certainty that bridges will not fall down, the software engineer should apply a different canon to argue that programs behave properly. As other engineering disciplines have their computer-aided-design tools, computer science has proof assistants, IDEs for logical arguments. We will learn how to apply these tools to certify that programs behave as expected."
There is so much research to do.
Including people doing research outside of academia I would approximate there are about 25 million researchers worldwide. Not sure what it was 100 years ago, but I only see that number growing.
https://www.richardprice.io/post/12855561694/the-number-of-academics-and-graduate-students-in
I am pretty curious about how to use automated reasoning systems to help discover new things, use and verify old ideas, and generally make my life easier.
Current events I try to keep up on
- Math Logic community (The Journal of Symbolic Logic)
- Statistics community (JASML, AoS)
- Algebra community (JoA, JoAG, JoPaAA, SIGSAM)
- Formal Methods community (CAV/TACAS)
Passing the learning curve up to current events
- Abstract Algebra (Dummit, Foote)
- Commutative Algebra (Eisenbud)
- Algebraic Geometry (Hartshorne)
- Mathematical Logic (Mendelson)
- Model Theory (Marker)