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Do you know how much time I (or any other dev) would spend getting a C#, or C++, or JS/TS, or Java or any language project running that has anything to do with ML up and running on tech and tooling we are kinda unfamiliar with? Yes, pretty much 1-2 hours, and very likely more.

Sorry but this sort of criticism is so contrived and low-effort. "Oh I tried compiling a language I don't know, using tooling I never use, using an OS I never use (and I hate too btw), and have no experience in any of it, oh and on a brand-new project that's kinda cutting-edge and doing something experimental with an AI/ML model."

I could copy-paste your entire thing, replace Windows with Mac, complain about homebrew that I have no idea how to use, developing an iMac app using SwiftUI in some rando editor (probably VSCode or VI), and it would still be the case. It says 0 about the ecosystem, 0 about the OS, 0 about the tools you use, 0 about you as a developer, and dare I say >0 about the usefulness of the comment.



For development is one thing, the problem is with this being how the LLM app distribution for general use works too.


Python dependency management sucks ass. Installing pytorch with cuda enabled while dealing with issues from the pytorch index having a linux-only version of a package causing shit to fail is endlessly frustrating

A good ecosystem has lockfiles by default, python does not.




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