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Intercognitive
@Intercognitive
Hello, real world We're making the physical world accessible to AI
493 Following    1.1K Followers
AI is touching grass. Intercognitive's newest member @0G_labs is cooking the compute, storage, and infrastructure it'll need to hit the ground running.
all moats are made of atoms
@sjdedic 22,000 basestations in 150+ countries is a moat.
Taku takes its name from Takumi, a master craftsman. Behind it is a team united by a love for what they do and a relentless pursuit of excellence. Meet the people and the craftsmanship behind robots built to last. Come build with us:
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Forward to community
Fundamentally in agreement with Bernt about the core value of humanoids. There absolutely will be a place for a wide variety of single purpose robots -- and there are many ways to build general-purpose hardware other than humanoids, to varying goals -- but no doubt in my mind generalist robots will "win" in many areas
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The core bet of the humanoid industry, in one tweet.
No matter how good the tech gets, cultural acceptance will be the final boss for robot deployments. What better time to start than when they're young?Happy to host PolyU x YWCA's initiative to introduce robotics to disadvantaged kids in HK. 🤍
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By 2035, billions of agents will run the physical world. Yours can clock in today. 30 seconds. 1 click. 👉
Has GPT-6-Astra Achieved Embodied Intelligence? Across 12 benchmarks, access to training demonstrations and up to 10× the execution budget push several tasks close to 100% success. How does this translate to real robots? Watch our demos across 8 robot configurations to see its capabilities and remaining challenges. Paper: Project & demos: GitHub:
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Just in time for Halloween!
This humanoid has no skin, no face and over 1,000 artificial muscles. 😳 Meet Protoclone by Clone , a biomimetic android designed around a human-like skeleton and synthetic muscles called Myofibers. 🦴 200+ degrees of freedom 💪 1,000+ artificial muscle fibers 🧠 500 sensors, according to the company Instead of conventional electric motors at every joint, its muscle-like actuators contract using fluid pressure to move the skeleton. It is still a prototype, but its design takes humanoid robotics in a very different direction. Does this look like the future of robotics or something straight out of a sci-fi horror movie? 🏢 Company: @clonerobotics ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #CloneRobotics# #Protoclone# #HumanoidRobots# #BiomimeticRobotics# #ArtificialMuscles# #Robotics# #CTORoboticsMedia#
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If you want to replicate Shenzhen, you have to start with having companies collaborate more. Emily gets it.
We are in the golden age of frontiers, and we’re very excited to support these frontiers @a16z
For the learners
Physical Intelligence's co-founder put his entire Berkeley course on YouTube: every lecture from this spring, plus the homework code. "CS 185/285: Deep Reinforcement Learning," Sergey Levine (@svlevine), UC Berkeley, Spring 2026. Imitation learning, policy gradients, actor-critic, Q-learning, model-based RL, offline RL, exploration, RL for LLMs and multi-task learning - 25 lectures plus 2 guest talks, about 36 hours, free. Lectures 2 and 3 are learning from human demos, the same idea behind ALOHA and π0. the rest is how a robot keeps getting better after the demos run out. Figure is hiring an RL Engineer for whole-body control right now, at $150K–$350K. this course is what the "RL" in that title means. Lectures: Homework: P.S. lecture 14 is RL with sequences and LLMs, the same toolkit used to train today's reasoning models.
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The biggest control rod hindering robo-takeoff is the complete lack of standards and interoperability.
How do we compute the reputation of a machine? @peaq @dorloechter