Which license is being used for this?
MIT ( https://gist.github.com/karpathy/8627fe009c40f57531cb1836010... )
Thank you
Microgpt
21–30 of 354 posts
Re: Microgpt
#22[flagged]
I found reading Linux source more useful than learning about xv6 because I run Linux and reading through source felt immediately useful. I.e, tracing exactly how a real process I work with everyday gets created.
Can you explain this O(n2) vs O(n) significance better?
Re: Microgpt
#23[flagged]
I found reading Linux source more useful than learning about xv6 because I run Linux and reading through source felt immediately useful. I.e, tracing exactly how a real process I work with everyday gets created. Can you explain this O(n2) vs O(n) significance better?
[dead]
Re: Microgpt
#24[flagged]
Re: Microgpt
#25Karapthy with another gem !
Re: Microgpt
#26[flagged]
If you know your exact use case, have prior work to build on, think deeply and extensively about the problem domain, and don't need competitive results, you can save a lot of lines of code!
Re: Microgpt
#27[flagged]
Are you hallucinating or am I? This implementation is 200 lines of Python. Did you mean to link to a C version?
Re: Microgpt
#28Re: Microgpt
#29[flagged]
The answer is in the article: "Everything else is just efficiency"
Another example is a raytracer. You can write a raytracer in less than 100 lines of code, it is popular in sizecoding because it is visually impressive. So why are commercial 3D engines so complex?
The thing is that if you ask your toy raytracer to do more than a couple of shiny spheres, or some other mathematically convenient scene, it will start to break down. Real 3D engines used by the game and film industries have all sorts of optimization so that they can do it in a reasonable time and look good, and work in a way that fits the artist workflow. This is where the million of lines come from.