We want to expand what intelligent machines can contribute to the world—not just what they can say about it.
Our ambition is to help people accomplish demanding work through physical AI. Its value should be measured by useful results in the environments where people work.
That means thinking about the whole job—not simply a striking moment in a demonstration.
Construction brings people, machines, and changing environments together. It gives our ambition a practical context: technology needs to fit the work and the people responsible for it.
We see a long-term role for intelligent machines in demanding physical work. Progress depends on learning which capabilities are useful, where they apply, and what their limits are.
Further applications should follow from evidence and experience. Each step needs a clear purpose.
Our development principles emphasize a focused scope, practical evaluation, and deliberate progress.
Define the workflow, constraints, human responsibilities, and the result that would make an intervention worthwhile.
Evaluate one defined task under stated conditions. Include setup, recovery, quality, and operator intervention in the picture.
Consider new conditions and tasks only when reliability and practical usefulness justify the next step.
DIRECTIONAL PRINCIPLES, NOT A RELEASE SCHEDULE OR COMPLETED MILESTONES.
Work in construction, build technology, or simply share our curiosity? We welcome your perspective.
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