We’re introducing OpenAI Microscope, a collection of visualizations of every significant layer and neuron of eight vision “model organism...
We are standardizing OpenAI’s deep learning framework on PyTorch.
We show that the double descent phenomenon occurs in CNNs, ResNets, and transformers: performance first improves, then gets worse, and th...
We’re releasing Procgen Benchmark, 16 simple-to-use procedurally-generated environments which provide a direct measure of how quickly a r...
We’re releasing Safety Gym, a suite of environments and tools for measuring progress towards reinforcement learning agents that respect s...
As the final model release of GPT-2’s staged release, we’re releasing the largest version (1.5B parameters) of GPT-2 along with code and ...
We’ve trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. The neural networks are trained entirely ...
We are now accepting applications for our third class of OpenAI Scholars.
We’ve fine-tuned the 774M parameter GPT-2 language model using human feedback for various tasks, successfully matching the preferences of...
We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in o...
We’ve developed a method to assess whether a neural network classifier can reliably defend against adversarial attacks not seen during tr...
We’re releasing the 774 million parameter GPT-2 language model after the release of our small 124M model in February, staged release of o...
At OpenAI, each Thursday is Learning Day: a day where employees have the option to self-study technical skills that will make them better...
Microsoft is investing $1 billion in OpenAI to support us building artificial general intelligence (AGI) with widely distributed economic...
We’ve written a policy research paper identifying four strategies that can be used today to improve the likelihood of long-term industry ...
We hosted the first OpenAI Robotics Symposium on April 27, 2019.
Our second class of OpenAI Scholars has concluded, with all eight scholars producing an exciting final project showcased at Scholars Demo...
Our second class of OpenAI Fellows has wrapped up, with each Fellow going from a machine learning beginner to core OpenAI contributor in ...
We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different instruments, and can combi...
We’ve developed the Sparse Transformer, a deep neural network which sets new records at predicting what comes next in a sequence—whether ...