Unfortunately, I must call you out too, my friend. With love.
Because it’s crucially important that we protect the scientific method here.
The sole goal is to help people like me reproduce the model. If I can’t reproduce the model, I can’t verify the paper.
When I saw “commercial” and then “open source” in your comment, I said “oh no…”
My duty is to the scientific method, so I don’t care if it’s the most restrictive code on the planet as long as I can use it to reproduce the model in the paper.
Because at that point, I have a baseline for evaluating the paper’s claims.
The reason I assume the paper is false until proven otherwise, is because the paper often doesn’t have enough detail to reproduce the model shown in the videos on this tech demos. Meaning, if they’re the it to help me, the ML researcher, then they’re failing to tell me how to evaluate their claims rigorously.
(That said, it’s breaking my heart that I can’t agree with you here, because I want to so badly. I’ve felt similarly for years that scientific contributions need to be “free as in beer” commercially. But I recognize signs of zealotry when I see them, and I can’t let my personal views creep in, because people like me would stop listening if I was here e.g. arguing vehemently that nVidia needed to be delivering us something commercially viable along with a high quality codebase. The price for entry to the scientific method isn’t so high.)