Honestly, the article needs to be replaced with https://deepmind.com/blog/article/AlphaStar-Grandmaster-level-in-StarCraft-II-using-multi-agent-reinforcement-le

Honestly, the article needs to be replaced with https://deepmind.com/blog/article/AlphaStar-Grandmaster-level-in-StarCraft-II-using-multi-agent-reinforcement-learning https://deepmind.com/blog/article/AlphaStar-Grandmaster-leve... which actually goes into some technical detail. Nature.com's article is purely for laypersons and, imo, not particularly useful for HN's crowd because of how little insight it gives. It also provides the paper and an archive of all of the AI's matches for anybody who wants to take a closer look. These can be viewed with the free version of SC2 (afaik). Further links: https://doi.org/10.1038/s41586-019-1724-z https://doi.org/10.1038/s41586-019-1724-z (supplementary data available here in json form) https://rdcu.be/bVI7G https://rdcu.be/bVI7G (public paper) https://deepmind.com/research/open-source/alphastar-resources https://deepmind.com/research/open-source/alphastar-resource... (replays) https://www.youtube.com/playlist?list=PLtFBLTxDxWOSrWZ8krQt6eDNXTpG67Xpf https://www.youtube.com/playlist?list=PLtFBLTxDxWOSrWZ8krQt6... (list of older AlphaStar matches cast by an SC2 player) https://www.youtube.com/watch?v=l82wBa3UoZU https://www.youtube.com/watch?v=l82wBa3UoZU (one of the newer matches cast by another player) https://old.reddit.com/r/starcraft/comments/dpaunw/deepminds_alphastar_ai_has_achieved/f5u9fx8/ https://old.reddit.com/r/starcraft/comments/dpaunw/deepminds... (win/loss rates across all the played matches by race, includes apm)