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Team update
The OpenAI team is now 45 people. Together, we’re pushing the frontier of AI capabilities—whether by validating novel ideas, creating new so...
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Faulty reward functions in the wild
Reinforcement learning algorithms can break in surprising, counterintuitive ways. In this post we’ll explore one failure mode, which is wher...
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Universe
We’re releasing Universe, a software platform for measuring and training an AI’s general intelligence across the world’s supply of games, we...
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OpenAI and Microsoft
We’re working with Microsoft to start running most of our large-scale experiments on Azure....
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Report from the self-organizing conference
Last week we hosted over a hundred and fifty AI practitioners in our offices for our first self-organizing conference on machine learning....
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Infrastructure for deep learning
Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-so...
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Machine Learning Unconference
The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more inform...
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Team update
We’ve hired more great people to help us achieve our goals. Welcome, everyone!...
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Special projects
Impactful scientific work requires working on the right problems—problems which are not just interesting, but whose solutions matter....
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Concrete AI safety problems
We (along with researchers from Berkeley and Stanford) are co-authors on today’s paper led by Google Brain researchers, Concrete Problems in...