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
OpenAI Five Benchmark
OpenAI Five Benchmark. OpenAI News - artificial intelligence news.
Glow: Better reversible generative models
We introduce Glow, a reversible generative model which uses invertible 1x1 convolutions. It…
Learning Montezuma’s Revenge from a single demonstration
We’ve trained an agent to achieve a high score of 74,500 on Montezuma’s Revenge from a single human…
OpenAI Five
Our team of five neural networks, OpenAI Five, has started to defeat amateur human teams at Dota 2.
Retro Contest: Results
The first run of our Retro Contest—exploring the development of algorithms that can generalize from…
Learning policy representations in multiagent systems
Learning policy representations in multiagent systems. OpenAI News - artificial intelligence news.
Improving language understanding with unsupervised learning
We’ve obtained state-of-the-art results on a suite of diverse language tasks with a scalable, task-agnostic…
GamePad: A learning environment for theorem proving
GamePad: A learning environment for theorem proving. OpenAI News - artificial intelligence news.
OpenAI Fellows Fall 2018
We’re now accepting applications for the next cohort of OpenAI Fellows, a program which offers a…
AI and compute
We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training…
AI safety via debate
We’re proposing an AI safety technique which trains agents to debate topics with one another, using a human…
Evolved Policy Gradients
We’re releasing an experimental metalearning approach called Evolved Policy Gradients, a method that…
Gotta Learn Fast: A new benchmark for generalization in RL
Gotta Learn Fast: A new benchmark for generalization in RL. OpenAI News - artificial intelligence news.
Retro Contest
We’re launching a transfer learning contest that measures a reinforcement learning algorithm’s ability to…
Variance reduction for policy gradient with action-dependent factorized baselines
Variance reduction for policy gradient with action-dependent factorized baselines. OpenAI News - artificial…
Improving GANs using optimal transport
Improving GANs using optimal transport. OpenAI News - artificial intelligence news.
Report from the OpenAI hackathon
On March 3rd, we hosted our first hackathon with 100 members of the artificial intelligence community.
On first-order meta-learning algorithms
On first-order meta-learning algorithms. OpenAI News - artificial intelligence news.
Reptile: A scalable meta-learning algorithm
We’ve developed a simple meta-learning algorithm called Reptile which works by repeatedly sampling a task,…
OpenAI Scholars
We’re providing 6–10 stipends and mentorship to individuals from underrepresented groups to study deep…
Some considerations on learning to explore via meta-reinforcement learning
Some considerations on learning to explore via meta-reinforcement learning. OpenAI News - artificial…
Multi-Goal Reinforcement Learning: Challenging robotics environments and request for research
Multi-Goal Reinforcement Learning: Challenging robotics environments and request for research. OpenAI News -…
Ingredients for robotics research
We’re releasing eight simulated robotics environments and a Baselines implementation of Hindsight…
OpenAI hackathon
Come to OpenAI’s office in San Francisco’s Mission District for talks and a hackathon on Saturday, March…