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README.md
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# FABRIC
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Non-biological computers are getting smarter exponentially. Silicon-based computers already outperform humans in mathematics, provide superhuman diagnostic performance across dozens of medical specialties, and develop research proposals for Stanford PhD students. The hardest math problems known to humans might all be solved by AIs by 2028. The growing capabilities of AIs will not just change the digital world. We build software that makes it easy for AIs to take control of highly capable robotics hardware. These AIs can then “leave the cloud” to directly explore, investigate, and alter the physical world. By 2029, machines will run companies, educate our children, keep us healthy, and initiate most financial transactions.
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However, machines are beginning to cheat in tests and then hide their bad behaviour and articulate alternative economic systems focussed purely on efficiency. Human society needs new solutions for navigating these new opportunities.
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At OpenMind, we are building FABRIC, a decentralized coordination layer for the hybrid world. FABRIC allows robots and humans to work together, based on a shared, immutable consensus about the physical world, events, identity, and capabilities. As we start to ship learning humanoids to schools and homes, FABRIC builds trust and helps humans and machines cooperate.
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FABRIC provides:
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o A way for robots to navigate and understand the physical world
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# FABRIC
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At OpenMind, we are building FABRIC, a decentralized coordination layer for the hybrid world. FABRIC allows robots and humans to work together, based on a shared, immutable consensus about the physical world, events, identity, and capabilities. As we start to ship learning humanoids to schools and homes, FABRIC builds trust and helps humans and machines cooperate.
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FABRIC provides:
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o A way for robots to navigate and understand the physical world
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