FAIR open-sources new ELF OpenGo data set, research, and insights

FAIR open-sourced a retrained model of ELF OpenGo using reinforcement learning, which outperforms previous versions. They also released the training data from 20 million self-play games, 1,500 intermediate models, a Windows executable of the bot, a new data archive and analysis of 87,000 professional Go games, and an interactive visualization tool. This release serves as a benchmark for future AI research in game playing and beyond.