Motherboard’s Matthew Gault provides another possibility for how OpenAI’s bots managed to beat professional human players in two consecutive games of Data 2. Gault argues that “it was only possible thanks to significant guardrails and an inhuman advantage” — not necessarily because the AI was more clever than the humans. From the report: The OpenAI Five bots consisted of algorithms known as neural networks, which loosely mimic the brain and “learn” to complete tasks after a process of training and feedback. The research company put its Dota 2-playing AI through 180 days worth of virtual training to prepare it for the match, and it showed. However, the bots had to play within some highly specific limitations. Dota 2 is a complicated game with more than 100 heroes. Some of them use quirky and game-changing abilities. For this exhibition, the hero pool was limited to just 18. That’s an incredible handicap because so much of Dota 2 involves a team picking the proper group composition and reacting to what its opponents pick. Reducing the number of champions from more than 100 to 18 made things much simpler for the AI.
The OpenAI Five bots also played Dota 2 by reading the game’s information directly from its application programming interface (API), which allows other programs to easily interface with Dota 2. This gives the AI instant knowledge about the game, whereas human players have to visually interpret a screen. If a human was able to do this in a competitive match against other humans, we’d probably call it cheating. Even with this AI advantage, Walsh and his team beat the bots in the third game, when the match organizers turned hero selection over to the crowd, which gave the AI a weak hero composition. Walsh thinks he and his team could eventually beat the AI in a fair right, even given the limited hero pool and other restrictions.
Read more of this story at Slashdot.