falkaer

Those new language constructs are exactly what's enabling the performance gains, by giving reliable information to the compiler. Projects like numba have clearly demonstrated the limitations of trying to compile pure Python.

It's only closed-source for now, with plans to open-source the language when it's more finalized - similar to LLVM early on. Not sure if it says so explicitly on their website somewhere, but Chris Lattner has stated that several times

I use the dwindle layout which is similar to bspwm in automatic splitting mode. One advantage is you can drag and drop windows into other nodes, which will be split appropriately, it's surprisingly neat when you have a lot of stuff open. It's easiest to get a feel for the differences by just trying it out or watching some videos of it on r/unixporn

I'm curious, why not use LLVM?

The M1 (laptops) do emulate x86, and the M1 (chip) has a few x86 specific instructions to improve emulation performance

With PyCharm I've managed to hide every single part of the UI besides the editor itself (I only had to get one plugin for the last bit, main menu toggler) and just use keybinds to show parts as I need them, so it's definitely a problem you can solve if you like

You are given money (5.435 dkk monthly after tax) for attending university in Denmark and pay no tuition. This is in stark contrast to most other countries.

How unfair indeed of them to release the model as open source with an accompanying freely available paper explaining all the details of it