Models News
AI models are trained neural network systems — like GPT, Claude and Gemini — that power modern artificial intelligence. This page tracks every model release, benchmark result and capability update as it happens.
1,597 articles · updated 24/7 from 100+ sources
Introducing Activation Atlases
We’ve created activation atlases (in collaboration with Google researchers), a new technique for…
Neural MMO: A massively multiagent game environment
We’re releasing a Neural MMO, a massively multiagent game environment for reinforcement learning agents.…
Spinning Up in Deep RL: Workshop review
On February 2, we held our first Spinning Up Workshop as part of our new education initiative at OpenAI.
AI safety needs social scientists
We’ve written a paper arguing that long-term AI safety research needs social scientists to ensure AI…
Better language models and their implications
We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text,…
Computational limitations in robust classification and win-win results
Computational limitations in robust classification and win-win results. OpenAI News - artificial intelligence…
OpenAI Fellows Summer 2018: Final projects
Our first cohort of OpenAI Fellows has concluded, with each Fellow going from a machine learning beginner to…
How AI training scales
We’ve discovered that the gradient noise scale, a simple statistical metric, predicts the parallelizability…
Quantifying generalization in reinforcement learning
We’re releasing CoinRun, a training environment which provides a metric for an agent’s ability to…
Spinning Up in Deep RL
We’re releasing Spinning Up in Deep RL, an educational resource designed to let anyone learn to become a…
Learning concepts with energy functions
We’ve developed an energy-based model that can quickly learn to identify and generate instances of…
Plan online, learn offline: Efficient learning and exploration via model-based control
Plan online, learn offline: Efficient learning and exploration via model-based control. OpenAI News -…
Reinforcement learning with prediction-based rewards
We’ve developed Random Network Distillation (RND), a prediction-based method for encouraging reinforcement…
Learning complex goals with iterated amplification
We’re proposing an AI safety technique called iterated amplification that lets us specify complicated…
OpenAI Scholars 2019: Applications open
We are now accepting applications for our second cohort of OpenAI Scholars, a program where we provide 6–10…
OpenAI Fellows Winter 2019 & Interns Summer 2019
OpenAI Fellows Winter 2019 & Interns Summer 2019. OpenAI News - artificial intelligence news.
FFJORD: Free-form continuous dynamics for scalable reversible generative models
FFJORD: Free-form continuous dynamics for scalable reversible generative models. OpenAI News - artificial…
OpenAI Scholars 2018: Final projects
OpenAI Scholars 2018: Final projects. OpenAI News - artificial intelligence news.
The International 2018: Results
OpenAI Five lost two games against top Dota 2 players at The International in Vancouver this week,…
Large-scale study of curiosity-driven learning
Large-scale study of curiosity-driven learning. OpenAI News - artificial intelligence news.
OpenAI Five Benchmark: Results
Yesterday, OpenAI Five won a best-of-three against a team of 99.95th percentile Dota…
Learning dexterity
We’ve trained a human-like robot hand to manipulate physical objects with unprecedented dexterity.
Variational option discovery algorithms
Variational option discovery algorithms. OpenAI News - artificial intelligence news.
OpenAI Scholars 2018: Meet our Scholars
Our first class of OpenAI Scholars is underway, and you can now follow along as this group of experienced…