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Strategy

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Musk posed the question: "what is the best thing we can do to ensure the future is good? We could sit on the sidelines or we can encourage regulatory oversight, or we could participate with the right structure with people who care deeply about developing AI in a way that is safe and is beneficial to humanity." Musk acknowledged that "there is always some risk that in actually trying to advance (friendly) AI we may create the thing we are concerned about"; nonetheless, the best defense is "to empower as many people as possible to have AI. If everyone has AI powers, then there's not any one person or a small set of individuals who can have AI superpower." Musk and Altman's counter-intuitive strategy of trying to reduce the risk that AI will cause overall harm, by giving AI to everyone, is controversial among those who are concerned with existential risk from artificial intelligence. Philosopher Nick Bostrom is skeptical of Musk's approach: "...
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History

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In October 2015, Elon Musk, Sam Altman, and other investors announced the formation of OpenAI and pledged over US$ 1 billion to the venture. The organization stated they would "freely collaborate" with other institutions and researchers by making its patents and research open to the public. On April 27, 2016, OpenAI released a public beta of "OpenAI Gym", its platform for reinforcement learning research. On December 5, 2016, OpenAI released Universe, a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications. On February 21, 2018, Musk resigned his board seat, citing "a potential future conflict (of interest)" with Tesla AI development for self driving cars, but remained a donor. In 2019, OpenAI transitioned from non-profit to for-profit. The company distributed equity to its employees and partnered with Microsoft Corporation, who announced an investment package of...
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Products and applications

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OpenAI's research tend to focus on reinforcement learning. OpenAI is viewed as an important competitor to DeepMind. Gym edit Gym aims to provide an easy to set up, general-intelligence benchmark with a wide variety of different environments—somewhat akin to, but broader than, the ImageNet Large Scale Visual Recognition Challenge used in supervised learning research—and that hopes to standardize the way in which environments are defined in AI research publications, so that published research becomes more easily reproducible. The project claims to provide the user with a simple interface. As of June   2017, Gym can only be used with Python. As of September 2017, the Gym documentation site was not maintained, and active work focused instead on its GitHub page. RoboSumo edit In "RoboSumo", virtual humanoid "metalearning" robots initially lack knowledge of how to even walk, and given the goals of learning to move around, and pushing the opposing agent out of the ring...
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