I discovered today that #ChatGPT and #CoCalc (which already has AI integration) make it extremely easy to perform any #sagemath computation that can be described to GPT; I used this to perform enough numerics to arrive at the solution to a problem in https://mathoverflow.net/a/454051/766 . (The GPT provided code did contain some minor syntax errors, but CoCalc’s native AI could easily fix them.) I did not feel proficient enough in the past to use Sage on a regular basis, but now I think I will.

Here I'm trying to write notes in #cocalc/#sage, in this case about @johncarlosbaez and James Dolan chatting about cyclotomic fields:

https://math.robert-figura.de/share/public_paths/43337889eb6ae74925f438e586f0b9025a2d6079

My notes aren't complete, and it turns out that I'm very much not a fan of MathJax notation.

For my taste I'm fighting too much with the user interface, It's much better than cocalc from a few months ago, and I suppose it just takes some more practice to make it bearable.

Anyways, it is nice to have symbolic calculation available.

Every time I try to use #CoCalc I end up frustated, hating it, giving up and reminding myself why I don't use it...

Does anyone know if #CoCalc can have a Jupyter notebook kernel running in the background?

Experimenting with NNs and training is taking time that the connection is broken before completing.

I just tried #CoCalc yesterday for the first time, and I really like it. I should have tried it sooner.