I was about to ask if there is any way we can bridge the mathematics the same way we did with programming ; I love going-on with an LLM to learn math and apply them directly to problems I'm facing ; and to be honest I often feel like a musician who never actually learned his tuning lately ; especially in topics correlated to balancing, monitoring, and even simply in projection of cost ; It's like I have been over-focused on complexity of algorithms without actually realizing that it's only one part of the problem - so I have a huge potential usage of mathematics and one can really easily leverage them thanks to AI - especially considering tests ; but that's where my road ends without a more sophisticated approach - and even then it's a very dark place to wonder by (eg: lot of time spent for seemingly unknown appliance) it does however start to feel even more attracting for these exact reasons - I feel like having problems to solve with just makes this a lot easier - but I'd love to be able to ground-up things even more - and especially be able to take shortcuts.

I mean a lot of people just run a database but don't know wtf it does - but it still useful to them - maths however need to be understood to be really useful -

Is there not a way to make this lot more navigable ? Are there bridge concepts that are important enough that we can spend some time to learn them ? (there are ofc) - and how deep shall we go ?