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Nevertheless, Sutskever stated that he was willing to leave Google for OpenAI “partly of because of the very strong group of people and, to a very large extent, because of its mission.” Brockman stated that “the best thing that I could imagine doing was moving humanity closer to building real AI in a safe way.” OpenAI researcher Wojciech Zaremba stated that he turned down “borderline crazy” offers of two to three times his market value to join OpenAI instead.[7]

and which sentiment has been expressed elsewhere in reference to a potentially enormous class of AI-enabled products: 'Are we really willing to let our society be infiltrated by autonomous software and hardware agents whose details of operation are known only to a select few?

Vishal Sikka, former CEO of Infosys, stated that an “openness” where the endeavor would “produce results generally in the greater interest of humanity” was a fundamental requirement for his support, and that OpenAI “aligns very nicely with our long-held values” and their “endeavor to do purposeful work”.[23]

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”;

During a 2016 conversation about the technological singularity, Altman said that “we don’t plan to release all of our source code” and mentioned a plan to “allow wide swaths of the world to elect representatives to a new governance board”.

Gym aims to provide an easy-to-setup 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.[8][27]

when an agent is then removed from this virtual environment and placed in a new virtual environment with high winds, the agent braces to remain upright, suggesting it had learned how to balance in a generalized way.[30][31]

OpenAI Five is the name of a team of five OpenAI-curated bots that are used in the competitive five-on-five video game Dota 2, who learn to play against human players at a high skill level entirely through trial-and-error algorithms.

Before becoming a team of five, the first public demonstration occurred at The International 2017, the annual premiere championship tournament for the game, where Dendi, a professional Ukrainian player of the game, lost against a bot in a live 1v1 matchup.[34][35]

After the match, CTO Greg Brockman explained that the bot had learned by playing against itself for two weeks of real time, and that the learning software was a step in the direction of creating software that can handle complex tasks like a surgeon.[36][37]

The system uses a form of reinforcement learning, as the bots learn over time by playing against themselves hundreds of times a day for months, and are rewarded for actions such as killing an enemy and taking map objectives.[38][39][40]

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