But are you ok with the trendline of ai improvement? The speed of improvement indicates humans will only get further and further removed from the loop.

I see posts like your all the time comforting themselves that humans still matter, and every-time people like you are describing a human owning an ever shrinking section of the problem space.

>The usual suspects are the GIL, interpretation, and dynamic typing. All three matter, but none of them is the real story. The real story is that Python is designed to be maximally dynamic -- you can monkey-patch methods at runtime, replace builtins, change a class's inheritance chain while instances exist -- and that design makes it fundamentally hard to optimize.

ok I guess the harder question is. Why isn't python as fast as javascript?

> the more isolated, and the more textually representable, the better: system programming is particularly apt

I’ve written complete GUIs in 3D on the front end. This GUI was non traditional. It allows you to playback, pause speed up, slow down and rewind a gps track like a movie. There is real time color changing and drawing of the track as the playback occurs.

Using mapbox to do this straight would be to slow. I told the AI to optimize it by going straight into shader extensions for mapbox to optimize GPU code.

Make no mistake. LLMs are incredible for things that are non systems based that require interaction with 3D and GUIs.