nce checkmates may come early, but some assortment of decisive positions. The network can pick up on this new knowledge, but does not grow overconfident because of all of the noisy early-game data mixed in. In the next few games, it can see a little further ahead. It does not have to work as hard learning what it already knows, and is still encountering noisy early-game data, but there is a moving band of higher-signal data to learn. Once the network has covered different phases of the game, it is less like