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@BartWronski holy shit. This is insane! Did it just drop or what??? 🤯🤯🤯🤯

The whole project is simply amazing!

@shailesh yes it did - fresh Siggraph Asia paper and months of work on the Slang language :)

@BartWronski First CUDA and now this. Nvidia is light years ahead! Did you guys open source everything just today? Or was it open sourced for a long time?

@shailesh Slang was always open source :)

And yes, I'm very happy that my employer does so much open source and truly amazing developer tools. Making great hardware is one thing. Making whole *ecosystems* is the next level required for mass adoption.

@BartWronski this looks really amazing, thanks for sharing!!!

@aras I remember symbolic derivatives well! The problem was that IIRC it was only forward differentiation and you couldn't chain them. I remember seeing maybe one or two legit uses for some procedural rendering stuff :)

@BartWronski yeah indeed. But also was kinda ahead of the time.

@aras "can we do something cool with dual numbers? sure!" and implementing the feature, never advertising it, and not really finding use-cases :) I thought it was super-cool nevertheless!

@BartWronski I have been aware of Slang for a few years and probably should finally give it a try on my personal renderer. The last time I checked it, I was stopped by its lack of CMake support (and it seems hard to build from source in a cross-platform way).

@lesley @BartWronski This was strange to read until I realized that the Slang in question is not the Slang that was used to program Midnight Commander, Mutt or slrn.

@lesley please file appropriate tickets :) Slang team would love to have more people at least try it.

(I personally use slangpy, installed from just pip, and Slang in Falcor, also automatically installed)

@BartWronski My favorite quote-taken-out-of-context is "Slang’s automatic differentiation integrates seamlessly"