majority of parents are in favour of such a ban, otherwise they wouldn't do it
if social media companies hadn't made social media a total cesspit of disinformation, child grooming and algorithmic manipulation then the outcome might have been different
mathlib and lean are currently too cumbersome for many researchers to use in say algebraic geometry, but maybe more suitable for combinatorics where it has been applied recently.
Formalised proofs and Lean in particular are still too cumbersome for the ``working'' mathematician to use it day-to-day for research-level math. But clearly there is some interest on where it may take us in future.
this seems to be the way. make great technical improvement in a way that's nothing to do with AI. the only way to make executives happy is to then tenuously link it to AI usage.
In my field which involves large legacy codebases in C++ and complex numerical algorithms implemented by PhDs. LLMs have their place but improvements in productivity are not that great because current LLMs simply make too many mistakes in this context and mistakes are usually very costly.
Everyone `in the know' appreciates this, but equally in the current environment has to play along with the AI hype machine.
It is depressing, but the true value of the current wave of LLMs in coding will become more clear over time. I think it's going to take some serious advances in architecture to make the coding assistant reliable, rather than simply scaling what we have now.
are there any tools to convert large latex documents to typst ? it looks a huge improvement, but the migration path is the only thing that's stopping me.
https://en.wikipedia.org/wiki/Heegner_number