Artificial intelligence bots have achieved superhuman results in zero-sum games such as chess, Go, and poker, in which each player tries to defeat the others. However, just like humans, real-world AI systems must learn to coordinate in cooperative environments as well.

To advance research on AI that can understand other points of view and collaborate effectively, Facebook AI has developed a bot that sets a new state of the art in Hanabi, a card game in which all players work together. Our bot not only improves upon previous AI systems but also exceeds the performance of elite human players, as judged by experienced players who have evaluated it.

When it comes to using computers to steal money, few can come close to matching the success of Russian hacker Evgeniy Bogachev.

The $3 million bounty the FBI has offered for Bogachev’s capture is larger than any that has ever been offered for a cybercriminal—but that sum represents only a tiny fraction of the money he has stolen through his botnet GameOver ZeuS.1 At its height in 2012 and 2013, GameOver ZeuS, or GOZ, comprised between 500,000 and 1 million compromised computers all over the world that Bogachev could control remotely. For years, Bogachev used these machines to spread malware that allowed him to steal banking credentials and perpetrate online extortion.2 No one knows exactly how much money Bogachev stole from his thousands of victims using GOZ, but the FBI conservatively estimates that it was well over $100 million.

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