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Why is it so important to you to waste time with anger and saying "LCzero not good on equal hardware ?" Again a strawman, I said "LCZero is 2100 ish on 1 core" Nobody cares about the strenght of LCzero on CPU but you. Everyone interested in just use GPU. CEGT cares, CCRL cares, anybody who plans to...

using the metric elo/byte ? Indeed, but at source-code level. So Elo/character. Not a metric that the average buyer of a Chess engine would give a hoot about, of course. I am confident we can configure Stockfish using cutting-edge industry techniques to get the desired Min-Max match result for any ...

Forgive me if I'm unsympathetic to claims of the form "If Stockfish had been allowed to have some other entity play moves for it at certain points during the game, it would have done better." Such claims are irrelevant to the match DeepMind ran, which was intended to test how the engines perform on ...

Sigh..wake me up when it is 2800 elo running on singe CPU core, which is what every other engine uses in rating lists. As far as I am concerned, it is still a 2100 elo engine there. And on and on as a broken record, full thread of your nonsensical "impressions" that you have been repeatedly bringin...

Every scientist knows..., knowing is something else than doing. I've been working on a university for 26 years and I saw on many occasions that results were polished, cherrypicked or bad results left out to make the final outcome look more favourable. Not to speak about articles with totally fabric...

It would have been interesting if They had swapped hardware. I wonder how good stockfish would have been on TPU:s ;) Exactly as it was on its "own" hardware, because on top of those 4 TPUs A0 also used the same 64 core machine to run those 70k MCTS searches per second (which they somehow "forgot" t...

That's an interesting claim. I suppose we'll see.

LCZero possesses a "-noise" command that applies Dirichlet noise to its move selection, thereby causing randomness in its play.

Sorry if that's a dumb newbie question. I'm not familiar at all with NN. But wouldn't it save a lof of time to: * first train the net on high quality games (ie. Stockfish level) * then you'd start with a reasonably strong net to improve with reinforced learning The original AlphaGo approach was ind...

Judging by the progress of Leela Zero, it's unlikely that we've hit the ceiling of 6x64 yet. I wouldn't worry about network saturation until several generations in a row fail to pass.