The lab
Intelligence that expands what people can do.
We want people to be able to attempt things that are out of reach today: solve difficult scientific problems, build systems they could not build alone and give machines the ability to work in unfamiliar environments.
That takes intelligence that learns from experience, carries knowledge across tasks and turns understanding into useful action. This is the long-term direction of Good AI Labs.
Research ambition
Learning from experience
An intelligence should carry what it has learned into its next encounter. We want memory and adaptation to make systems more capable over time.
Understanding the physical world
Our aim is intelligence that can reason about space, motion and cause, anticipate the consequences of an action and find its way through unfamiliar situations.
Staying with an ambitious goal
We want people to have systems that can follow a difficult problem over time, work across tools and help turn an intention into something real.
Capability within reach
Our ambition includes intelligence that people can own and use on their own hardware. Efficiency determines how widely those capabilities can become part of everyday life.
The longer horizon
An agent pursuing a complex project needs to remember what happened and reason about what to do next. A robot entering an unfamiliar room faces related questions, grounded in a physical environment. Understanding how these abilities fit together is central to our pursuit of more general intelligence.
Colony explores persistent agents. re1 addresses spatial memory. reflex-1 and Samsara VLA investigate decisions and physical action. These are parts of a larger ambition: systems that can draw on experience to meet challenges they have never encountered before.
The future we want is one in which more people can contribute to discovery and build things that matter to them. We see machine intelligence as a way to extend their reach.
Research & engineering
Work on these questions.
Bring a question worth pursuing, a result that challenges our assumptions or a system you want to build.