Our mission
We learn the world to make it better
We're an AI lab pioneering general world models, and believe a new and powerful form of intelligence will emerge from learning all the beauty, physics, and intelligence of our world. It's our responsibility to leave the world a better place than we found it
Our mission
We learn the world to make it better
We're an AI lab pioneering general world models, and believe a new and powerful form of intelligence will emerge from learning all the beauty, physics, and intelligence of our world. It's our responsibility to leave the world a better place than we found it
Our mission
We learn the world to make it better
We're an AI lab pioneering general world models, and believe a new and powerful form of intelligence will emerge from learning all the beauty, physics, and intelligence of our world. It's our responsibility to leave the world a better place than we found it
Our team is recruited from
We're backed by
Elad Gil
Jeff Dean
Guillermo Rauch
Garry Tan
Our team is recruited from
We're backed by
Elad Gil
Jeff Dean
Guillermo Rauch
Garry Tan
Our team is recruited from
We're backed by
Elad Gil
Jeff Dean
Guillermo Rauch
Garry Tan
Our most recent news
What we've been working on recently
Our most recent news
What we've been working on recently
Research panel
The making of Starchild-1
Odyssey researchers discuss the core ideas and technical challenges behind Starchild-1
Research panel
The next frontier in AI
Hear from Odyssey researchers about why general-purpose world models are a world-changing technology
Research panel
The making of Starchild-1
Odyssey researchers discuss the core ideas and technical challenges behind Starchild-1
Research panel
The next frontier in AI
Hear from Odyssey researchers about why general-purpose world models are a world-changing technology
Research panel
The making of Starchild-1
Odyssey researchers discuss the core ideas and technical challenges behind Starchild-1
Research panel
The next frontier in AI
Hear from Odyssey researchers about why general-purpose world models are a world-changing technology
World Model
Odyssey-2
Our most powerful general purpose world model yet, materially advancing the state-of-the-art in physical accuracy of world models
World Model
Starchild-1
A step beyond world models that learn only from visual observation, toward systems that learn from richer multimodal interaction with the world
World Model
Agora-1
A multi-agent world model, enabling multiple participants—human or AI—to share and interact within the same world simulation in real-time
Reinforcement Learning
PROWL
A novel RL-driven adversarial framework where an RL agent explores game environments with the objective to improve world model performance
World Model
Odyssey-2
Our most powerful general purpose world model yet, materially advancing the state-of-the-art in physical accuracy of world models
World Model
Starchild-1
A step beyond world models that learn only from visual observation, toward systems that learn from richer multimodal interaction with the world
World Model
Agora-1
A multi-agent world model, enabling multiple participants—human or AI—to share and interact within the same world simulation in real-time
Reinforcement Learning
PROWL
A novel RL-driven adversarial framework where an RL agent explores game environments with the objective to improve world model performance
World Model
Odyssey-2
Our most powerful general purpose world model yet, materially advancing the state-of-the-art in physical accuracy of world models
World Model
Starchild-1
A step beyond world models that learn only from visual observation, toward systems that learn from richer multimodal interaction with the world
World Model
Agora-1
A multi-agent world model, enabling multiple participants—human or AI—to share and interact within the same world simulation in real-time
Reinforcement Learning
PROWL
A novel RL-driven adversarial framework where an RL agent explores game environments with the objective to improve world model performance
World Model
Odyssey-2
Our most powerful general purpose world model yet, materially advancing the state-of-the-art in physical accuracy of world models
World Model
Starchild-1
A step beyond world models that learn only from visual observation, toward systems that learn from richer multimodal interaction with the world
World Model
Agora-1
A multi-agent world model, enabling multiple participants—human or AI—to share and interact within the same world simulation in real-time
Reinforcement Learning
PROWL
A novel RL-driven adversarial framework where an RL agent explores game environments with the objective to improve world model performance