Earlier quoted context omitted.
Are there niche versions of this? There's like communities that try to write code that can run on old hardware and in certain space requirements, etc. From a coding perspective - I think it could get really interesting to see people try to make super small engines. I've seen a couple and am blown away that a pretty small program w/o an ML model can destroy me in Chess. It'd be cool to see how good super simple progra…
I'd also like to see something of a chess Turing test, and while very hard to quantify a competition for the most human-like low- or mid-level chess engine. On Chess.com there's a plethora of bots of different ratings, but outside a few gimmicks (e.g. "Nelson" always gets his queen out early) they're all the same, only differing in how frequently they blunder in-between perfect moves.
Top Chess Engine Championship
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Re: Top Chess Engine Championship
#42Earlier quoted context omitted.
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.
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.
Just because your situation is even more limited doesn't mean that they don't also have limitations. That's just gatekeeping.
Re: Top Chess Engine Championship
#43Earlier quoted context omitted.
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.
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.
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!