CSM

Common Sense Machines provides APIs, interfaces, and open source software to translate multi-modal inputs and experiences into a digital simulator for AI training and content creation. We believe that learning generative world models is a systematic path towards achieving AGI, similar to how a child learns about its world from experience. A longstanding dream in generative AI has been to digitally synthesize dynamic 3D environments – interactive simulations of objects, spaces, and agents. Simulations enable us to create synthetic worlds and data for robotics and perception, new content for games and metaverses, and adaptive digital twins. Simulators are also the key to imaginative machines endowed with a world model; they allow them to visualize, predict and consider possibilities before acting. But today’s simulators are too hard to build and too limited for humanity’s needs. Generative AI will change this. Common Sense Machines has built a neural simulation engine we call CommonSim-1. Instead of laboriously creating content and spending weeks of effort navigating complex tools, users and robots interact with CommonSim-1 via images, actions, and text. Common Sense Machines was founded by a group of PhDs and faculty from MIT. We have worked on large AI systems at DeepMind and have collectively founded three companies with successful exits. The company is based in Cambridge, MA. We are venture-backed and looking to expand our team of scientists and engineers.