[CydeWeys]

And the reason for that is because they haven't been actively developing AlphaZero anymore. It's not worth it to them to spend their limited resources doing so when others in the Chess community are perfectly willing to. DeepMind has meanwhile instead been spending their efforts on solving protein folding, which I think we can all agree is a better use of their limited resources.

[YeGoblynQueenne]

DeepMind has limited resources? I'll remember that and smile next time I'm running my experiments on the same machine as another two PhD students.

[CydeWeys]

The limited resources I'm referring to is people. It's a relatively small organization, and focusing people on Chess comes at an opportunity cost of not focusing on something else.

Just because your situation is even more limited doesn't mean that they don't also have limitations. That's just gatekeeping.

[YeGoblynQueenne]

Sorry, I don't understand. What is gatekeeping?

I appreciate that nobody has unlimited resoureces but, for example, the latest DeepMind paper posted on HN (on AlphaCode) had a couple dozen authors. By comparison I do all my work myself, with the help of my advisor and so do his other PhD students. And all for a PhD student's stipend, when DeepMind researchers are paid at least at post-doc levels, presumably. There's no comparison in the resources that I and DeepMind can throw at a problem.

I mean, please, give me DeepMind's limitations. I'd be so happy!