Intercognitive

See you all tonight at our inaugural XSpaces for The Intercognitive Foundation where we dive deep into our mission of Making the Physical World Accessible to AI x.com/i/status/20373… Making the Physical World Accessible to AI @Auki @GEODNET @mawariXR @tashiprotocol @nunet_global @NRNAgents @peaq @broodsugar @mikeahorton @dorloechter @WeiNRN @AmarSBedi @MarcAlloul @IlijaNunet @fuheping x.com/i/spaces/1aJbd…

Yesterday we received our fanciest and most capable robot yet: the @GalbotRobotics G1 It's already designed for retail, and now we'll add scalability by connecting it to the real world web and @CactusXR. One of our most exciting robotics partnerships by far! 🦾

My conversation with Sergey Levine (@svlevine). Sergey is the co-founder of @physical_int -- a company building foundation models that can control any robot to do any task in any environment. The company's thesis is that generality is more scalable than specialization, meaning that a model trained across many different robots and tasks will ultimately outperform any system built to do one thing well (eg, just wash dishes). Sergey is a researcher by background, but I think you will appreciate how practical and commercially grounded this conversation is. We discuss: - Why changing a diaper will be the last task a robot masters - The simulation v. real-world data debate - How multimodal LLMs give robots common sense - Moravec's Paradox + Robot Olympics - Why robots can do long-horizon tasks now - A realistic timeline for robots in our homes I should note that I am an investor in Physical Intelligence -- I made the investment because I believe it is one of the most important companies tackling the problem of robotics. Enjoy! Timestamps: 0:00 Intro 2:39 Defining Physical Intelligence 5:19 The Challenge of Building General Models 6:34 The Stakes and Future of General Purpose Robotics 8:15 Pros and Cons of Humanoid Robots 10:12 Historical Milestones in Robotics Research 15:31 Combining Generative AI and Deep RL 21:24 Moravec's Paradox 25:33 Kitchen Robots 29:30 Simulation vs. Real-World Data 30:48 The Robot Olympics 36:31 The Physiological Reality of Embodiment 38:56 Controversies in the Robotics Community 44:18 What Makes a Great Researcher 48:27 How Businesses Should Prepare for Robotics 54:09 Tracking Progress Through Research Papers 57:02 The Next Step: Mid-Level Reasoning 1:02:00 The Kindest Thing

Thanks Shenzhen MakerMods hackathon is amazing. The demos are crazy good 25 teams 200+ hackers In Shenzhen robot valley World class co-hosts: @IsaacSin12 @GZinMetaverse @EthanYeang @Robo_Tuo @QILIU9203 @yooubooo Looking forward to the next one.

Things are about to get very interesting

Today, the 10,000th AGIBOT humanoid robot officially rolled off the line. This isn't just a production milestone; it’s the moment humanoid robots transition from technical validation to global, large-scale deployment. The most exciting part? Our velocity. 0 to 1,000: 2 years 1,000 to 5,000: 1 year 5,000 to 10,000: Just 3 months We’ve accelerated production efficiency by 4x, proving that humanoids aren't just a future concept—they are ready for the workforce today. From logistics to industrial manufacturing, AGIBOT is now scaling at the speed of global demand. #AGIBOT #HumanoidRobots #EmbodiedAI #MassProduction #HumanoidNo1 #HumanoidShipmentsNo1 #SmartManufacturing

70,000 subs on YouTube 🙌 Scaling audience the same way we scale the network

@GalbotRobotics at @Auki!

and now a new layer is emerging -physical AI infrastructure (robotics, drones, geospatial localization, machine networks) this is where crypto leaves the internet and starts powering the real world. machines coordinating, navigating, and transacting autonomously from data → to decisions → to physical action

Xiaomi’s new CyberOne just leaked… and the hand is wild. 🤖 A full-palm tactile bionic hand that actually feels like a human hand. This might be what finally puts humanoids to work in factories.

This will become more and more commonplace and then just part of the fabric of society.

Join our Spaces on Apr 2nd 9pm HK/SG time where founding members of Intercognitive.com will talk about Making the Physical World Accessible to AI @Auki @GEODNET @mawariXR @tashiprotocol @nunet_global @NRNAgents @peaq @broodsugar @mikeahorton @dorloechter @WeiNRN @AmarSBedi @MarcAlloul @IlijaNunet @fuheping x.com/i/spaces/1aJbd…

Auki grant recipient Mika demos the physical AI copilot he built, Oneshot. When are you gonna build one? 🫵

Great take below. This is why robotics timelines always humble people lol. The internet lets you fake progress with one great clip. The real world forces you to earn it a thousand times in a row.

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It’s fun to watch these Didi’s autonomous delivery vehicles zoom off after the light turns green #didi

True AGI is when the robot finally has enough of the annoying testing and just walks off the job. Marc Benioff shared a new video of Figure 03 autonomously sorting deformable packages and placing them labels-down for the scanner down the line.

🇨🇳 In China, they are rolling out robotic electricians on a massive scale. They install and inspects live high-voltage, high altitudes electrical wires, and keep the grid running safely. i.e. humans no longer have to do this dangerous manual labor.

Korea 🇰🇷 is a global leader in robotics, hardware, and real-world AI deployment That’s why we’re working with Korea’s top research groups to make peaq’s Machine Economy infrastructure easier to understand and more accessible for this key market Helping builders explore new solutions to do with machines and robots, and making Robot Money flow Check out @blockchainkor’s deep dive into peaq for Blockchain Valley: → Global trends driving robotics adoption → The rise of machine-to-machine payments & agent economies → How peaq enables Robot Money infrastructure in Korea