Related: I recently wrote a blog post about using docker to containerize my ML research dev environments -- I've never found another way to make properly reproducible dev environments.
http://vedder.io/misc/research_dev_env.html
It's stupid sour grapes comments like this that make me hate HN commenters.
Meta and Google have both contributed an enormous amount to open source (creating PyTorch, TensorFlow, Chromium, contributing to clang/LLVM, Linux kernel, HTTP standards), but you're mad because they didn't sponsor your work and a bunch of people mindlessly upvoted it.
Humans give explanations that other humans find convincing, but they can be totally wrong and non-causal. I think human explanations are often mechanistically wrong / totally acausal.
As a famous early example, this lady provided an unprompted explanation (using only the information available to her conscious part of her brain in her good eye) for some of her preferences despite the mechanism of action being subconscious observations out of her blind eye.