Dota 2 veterans defeated by OpenAI bots

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A team of three former Dota 2 pros, one current pro, and a commentator played against five artificial intelligence bots last night at an event in San Francisco. The bots completely overpowered Team Human in the first game, with the players unable to destroy any of the of the bots' towers before the end of the match.

The human team is made up of Blitz, Cap, Fogged, Merlini and Moonmeander, with commentary from Purge and ODPixel.

A lot of humans think they're so good at video games that they make the point of describing themselves as "gamers". The Dota 2 pros fought harder in the second round and managed to destroy one of the OpenAI Five's towers, but they ultimately had to admit defeat to the bots. If the the OpenAI Five are victorious, they not only join the pantheon of machines that have publicly beaten humans at games (Deep Blue, Watson, AlphaGo), but will have done so in a game that balances several real-time interactions at once.

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The latest victory for OpenAI Five is a positive step towards the firm's goal of competing against the best proteamat The International which is the largest annual Dota tournament in the world. The characters Open AI played were selected by Twitch users, giving Team Human a slight advantage. OpenAI had the capacity to predict its chance of winning during each stage of the game, as well as during character selection. The bot has around 10,000 hours of Dota 2 playtime, which it uses to formulate advanced strategies that pro teams employ, according to the OpenAI organization. The list of handicaps included the ability to pick only 18 of the 115 available heroes in the pool, while Team Human was given freedom to use any hero of their choosing. In the third game, human players secured a win.

Regardless, the OpenAI victory is incredible impressive, even more so because only a matter of months ago it was failing to beat amateur opposition. OpenAI is scheduled to face an active professional squad at The International 8, which kicks off on August 15.

The blog added, "We've increased the reaction time of OpenAI Five from 80ms to 200ms".