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We build AI systems that can reason, in order to enable AI agents that can accomplish larger goals and safely work for us in the real world. To do this, we train foundation models optimized for reasoning. On top of our models, we prototype agents to accelerate our own work, seriously using them in order to shed light on how to improve the underlying model capabilities, as well as the interaction design for agents.
We aim to rekindle the dream of the *personal* computer—for computers to be truly intelligent tools that empower us, giving us freedom, dignity, and agency to do the things we love.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We work with a hub-and-spoke model—we have an onsite research-focused hub in San Francisco and spokes of remote engineers who support the research team in their lines of work.