In this post we’ll outline new OpenAI research in which agents develop their own language.
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mista...
The OpenAI team is now 45 people. Together, we’re pushing the frontier of AI capabilities—whether by validating novel ideas, creating new...
Reinforcement learning algorithms can break in surprising, counterintuitive ways. In this post we’ll explore one failure mode, which is w...
We’re releasing Universe, a software platform for measuring and training an AI’s general intelligence across the world’s supply of games,...
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...
The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more inf...
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.