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Are you kidding me???It grasps multiple objects with different ways, all at once with… a single hand???No pauses. 1x speed.GENE-26.5 is @gs_ai_’s robotics-native multimodal foundation model.It’s trained on 200,000+ hours of real human hand data (motion, force, touch) and runs on a 54-DoF bimanual system:Scaling that human data 4x lifted real-robot success rates from 16.6% to 65.6% on long-horizon dexterous tasks!!Same model weights, zero fine-tuning for this exact sequence.You know those tiny co
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Physical AI is entering a new era.Super excited to see @gs_ai_ unveil GENE-26.5 - a major step toward general-purpose robotics and human-level capability.What makes this team unique is that they are rebuilding the entire stack from the ground up:- A robotics-native foundation model.- A 1:1 robotic hand with human-like dexterity- most scalable, capable and least intrusive data collection glove for motion, force, and touch.- A high fidelity simulator that accelerates experimentationAt @EclipseVent
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Eka means unity -- “one,” in Sanskrit and “first” in Finnish.We’re building intelligence for the physical world in its native language: forces.Until now, robotics faced a tradeoff — generality or speed. The real world requires both. Robotics also faced a data problem.Our Vision–Force–Action (VFA) model — the first of its kind — breaks the generality-speed tradeoff and the data barrier.It's a new foundation uniting performance, generality, and safety for putting capable robots in everyone's hands
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