what is alpha zero?

hello everyone, did you ever here about the artificial intelligence alpha zero also known as leela chess zero now. this is how it works:

How is it different from other engines and why is it so much better? In this two-part article I’ll try to explain a bit of what goes on under AlphaZero’s hood.

First, let’s reflect on what happened. AlphaZero was developed by DeepMind (a Google-owned company) to specialize in learning how to play two-player, alternate-move games. It was primed with the rules of chess, and nothing else.

It then started learning chess by playing games against itself. Game one would have involved totally random moves. At the end of this game, AlphaZero had learned that the losing side had done stuff that wasn’t all that smart, and that the winning side had played better. AlphaZero had taught itself its first chess lesson. The quality of chess in game two was a just a tiny bit better than the first.

Nine hours and 44 million games of split-personality chess later, AlphaZero had (very possibly) taught itself enough to become the greatest chess player, silicon- or carbon-based, of all time.