Index

2021
Improving Language Model Behavior by Training on a Curated Dataset
2021
OpenAI Startup Fund
2021
OpenAI Scholars 2021: Final Projects
2021
Will Hurd Joins OpenAI’s Board of Directors
2021
GPT-3 Powers the Next Generation of Apps
2021
Multimodal Neurons in Artificial Neural Networks
2021
Scaling Kubernetes to 7,500 Nodes
2021
DALL·E: Creating Images from Text
2021
CLIP: Connecting Text and Images
2020
Organizational Update from OpenAI
2020
OpenAI at NeurIPS 2020
2020
OpenAI Licenses GPT-3 Technology to Microsoft
2020
Learning to Summarize with Human Feedback
2020
OpenAI Scholars 2020: Final Projects
2020
Image GPT
2020
OpenAI API
2020
Procgen and MineRL Competitions
2020
AI and Efficiency
2020
Jukebox
2020
Improving Verifiability in AI Development
2020
OpenAI Microscope
2020
OpenAI Standardizes on PyTorch
2019
Deep Double Descent
2019
Procgen Benchmark
2019
Safety Gym
2019
GPT-2: 1.5B Release
2019
Solving Rubik’s Cube with a Robot Hand
2019
OpenAI Scholars 2020: Applications Open
2019
Fine-Tuning GPT-2 from Human Preferences
2019
Emergent Tool Use from Multi-Agent Interaction
2019
Testing Robustness Against Unforeseen Adversaries
2019
GPT-2: 6-Month Follow-Up
2019
Learning Day
2019
Microsoft Invests In and Partners with OpenAI to Support Us Building Beneficial AGI
2019
Why Responsible AI Development Needs Cooperation on Safety
2019
OpenAI Robotics Symposium 2019
2019
OpenAI Scholars 2019: Final Projects
2019
OpenAI Fellows Fall 2018: Final Projects
2019
MuseNet
2019
Generative Modeling with Sparse Transformers
2019
OpenAI Five Defeats Dota 2 World Champions
2019
OpenAI Five Finals
2019
Implicit Generation and Generalization Methods for Energy-Based Models
2019
OpenAI Scholars 2019: Meet Our Scholars
2019
OpenAI LP
2019
Introducing Activation Atlases
2019
Neural MMO: A Massively Multiagent Game Environment
2019
Spinning Up in Deep RL: Workshop Review
2019
AI Safety Needs Social Scientists
2019
Better Language Models and Their Implications
2018
OpenAI Fellows Summer 2018: Final Projects
2018
How AI Training Scales
2018
Quantifying Generalization in Reinforcement Learning
2018
Spinning Up in Deep RL
2018
Learning Concepts with Energy Functions
2018
Reinforcement Learning with Prediction-Based Rewards
2018
Learning Complex Goals with Iterated Amplification
2018
OpenAI Scholars 2019: Applications Open
2018
OpenAI Fellows Winter 2019 & Interns Summer 2019
2018
OpenAI Scholars 2018: Final Projects
2018
The International 2018: Results
2018
OpenAI Five Benchmark: Results
2018
Learning Dexterity
2018
OpenAI Scholars 2018: Meet Our Scholars
2018
OpenAI Five Benchmark
2018
Glow: Better Reversible Generative Models
2018
Learning Montezuma's Revenge from a Single Demonstration
2018
OpenAI Five
2018
Retro Contest: Results
2018
Improving Language Understanding with Unsupervised Learning
2018
OpenAI Fellows Fall 2018
2018
Gym Retro
2018
AI and Compute
2018
AI Safety via Debate
2018
Evolved Policy Gradients
2018
OpenAI Charter
2018
Retro Contest
2018
Report from the OpenAI Hackathon
2018
Reptile: A Scalable Meta-Learning Algorithm
2018
OpenAI Scholars
2018
Ingredients for Robotics Research
2018
OpenAI Hackathon
2018
OpenAI Supporters
2018
Preparing for Malicious Uses of AI
2018
Interpretable Machine Learning through Teaching
2018
Discovering Types for Entity Disambiguation
2018
Requests for Research 2.0
2018
Scaling Kubernetes to 2,500 Nodes
2017
Block-Sparse GPU Kernels
2017
Learning a Hierarchy
2017
Generalizing from Simulation
2017
Meta-Learning for Wrestling
2017
Competitive Self-Play
2017
Nonlinear Computation in Deep Linear Networks
2017
Learning to Model Other Minds
2017
OpenAI Baselines: ACKTR & A2C
2017
More on Dota 2
2017
Dota 2
2017
OpenAI at The International
2017
Gathering Human Feedback
2017
Better Exploration with Parameter Noise
2017
Proximal Policy Optimization
2017
Robust Adversarial Inputs
2017
Faster Physics in Python
2017
Learning from Human Preferences
2017
Learning to Cooperate, Compete, and Communicate
2017
OpenAI Baselines: DQN
2017
Robots that Learn
2017
Roboschool
2017
Unsupervised Sentiment Neuron
2017
Spam Detection in the Physical World
2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
2017
Distill
2017
Learning to Communicate
2017
Attacking Machine Learning with Adversarial Examples
2017
Team Update
2016
Faulty Reward Functions in the Wild
2016
Universe
2016
OpenAI and Microsoft
2016
Report from the Self-Organizing Conference
2016
Infrastructure for Deep Learning
2016
Machine Learning Unconference
2016
Team Update
2016
Special Projects
2016
Concrete AI Safety Problems
2016
OpenAI Technical Goals
2016
Generative Models
2016
Team Update
2016
OpenAI Gym Beta
2016
Welcome, Pieter and Shivon!
2016
Team++
2015
Introducing OpenAI