
Procgen and MineRL Competitions
We’re excited to announce that OpenAI is co-organizing two NeurIPS 2020 competitions with AIcrowd, Carnegie Mellon…
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Updates from OpenAI
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We’re excited to announce that OpenAI is co-organizing two NeurIPS 2020 competitions with AIcrowd, Carnegie Mellon…
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We find that, just as a large transformer model trained on language can generate coherent text, the same exact model…
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We’re releasing an analysis showing that since 2012 the amount of compute needed to train a neural net to the same…
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We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety…
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We’ve contributed to a multi-stakeholder report by 58 co-authors at 30 organizations, including the Centre for the…
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We’re introducing OpenAI Microscope, a collection of visualizations of every significant layer and neuron of eight…
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We are standardizing OpenAI’s deep learning framework on PyTorch.
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We show that the double descent phenomenon occurs in CNNs, ResNets, and transformers: performance first improves, then…
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We’re releasing Procgen Benchmark, 16 simple-to-use procedurally-generated environments which provide a direct measure…
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We’re releasing Safety Gym, a suite of environments and tools for measuring progress towards reinforcement learning…
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As the final model release of GPT-2’s staged release, we’re releasing the largest version (1.5B parameters) of GPT-2…
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We’ve trained a pair of neural networks to solve the Rubik’s Cube with a human-like robot hand. The neural networks are…
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We are now accepting applications for our third class of OpenAI Scholars.
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We’ve fine-tuned the 774M parameter GPT-2 language model using human feedback for various tasks, successfully matching…
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We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek.…
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We’ve developed a method to assess whether a neural network classifier can reliably defend against adversarial attacks…
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We’re releasing the 774 million parameter GPT-2 language model after the release of our small 124M model in February,…
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At OpenAI, each Thursday is Learning Day: a day where employees have the option to self-study technical skills that…
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Microsoft is investing $1 billion in OpenAI to support us building artificial general intelligence (AGI) with widely…
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We’ve written a policy research paper identifying four strategies that can be used today to improve the likelihood of…
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We hosted the first OpenAI Robotics Symposium on April 27, 2019.
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Our second class of OpenAI Scholars has concluded, with all eight scholars producing an exciting final project…
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Our second class of OpenAI Fellows has wrapped up, with each Fellow going from a machine learning beginner to core…
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We’ve created MuseNet, a deep neural network that can generate 4-minute musical compositions with 10 different…
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We’ve developed the Sparse Transformer, a deep neural network which sets new records at predicting what comes next in a…
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OpenAI Five is the first AI to beat the world champions in an esports game, having won two back-to-back games versus…
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We’ll be holding our final live event for OpenAI Five at 11:30am PT on April 13.
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We’ve made progress towards stable and scalable training of energy-based models (EBMs) resulting in better sample…
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Our class of eight scholars (out of 550 applicants) brings together collective expertise in literature, philosophy,…
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We’ve created OpenAI LP, a new “capped-profit” company that allows us to rapidly increase our investments in compute…
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