📰 OpenAI News

Reinforcement learning algorithms can break in surprising, counterintuitive ways. In this post we’ll explore one failure mode, which is where you misspecify you

We’re releasing Universe, a software platform for measuring and training an AI’s general intelligence across the world’s supply of games, websites and other app

We’re working with Microsoft to start running most of our large-scale experiments on Azure.

Last week we hosted over a hundred and fifty AI practitioners in our offices for our first self-organizing conference on machine learning.

Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-source ecosystem makes

The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.

We’ve hired more great people to help us achieve our goals. Welcome, everyone!

Impactful scientific work requires working on the right problems—problems which are not just interesting, but whose solutions matter.

We (along with researchers from Berkeley and Stanford) are co-authors on today’s paper led by Google Brain researchers, Concrete Problems in AI Safety. The pape

OpenAI’s mission is to build safe AI, and ensure AI’s benefits are as widely and evenly distributed as possible.

This post describes four projects that share a common theme of enhancing or using generative models, a branch of unsupervised learning techniques in machine lea

We’d like to welcome the latest set of team members to OpenAI (and we’re still hiring!)

We’re releasing the public beta of OpenAI Gym, a toolkit for developing and comparing reinforcement learning (RL) algorithms. It consists of a growing suite of

We have two more team updates.