Intercognitive

249 posts

Intercognitive banner
Intercognitive

Intercognitive

@Intercognitive

Hello real world! Establishing open and interoperable standards to Make the Physical World Accessible to AI.

Earth and beyond Entrou em Şubat 2025
354 Seguindo927 Seguidores
Intercognitive
Intercognitive@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…
Intercognitive@Intercognitive

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…

English
0
3
7
1.1K
Intercognitive retweetou
Auki
Auki@Auki·
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! 🦾
English
3
32
113
3K
Intercognitive retweetou
Patrick OShaughnessy
Patrick OShaughnessy@patrick_oshag·
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
English
20
63
565
127.9K
Intercognitive retweetou
Nils
Nils@broodsugar·
Things are about to get very interesting
Nils tweet media
English
8
5
100
1.8K
Intercognitive retweetou
AGIBOT
AGIBOT@AGIBOTofficial·
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
AGIBOT tweet media
English
15
37
202
13.2K
Intercognitive retweetou
GEODNET
GEODNET@GEODNET·
70,000 subs on YouTube 🙌 Scaling audience the same way we scale the network
GEODNET tweet mediaGEODNET tweet media
English
4
5
65
1.9K
Intercognitive retweetou
Mike Horton
Mike Horton@mikeahorton·
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
mert@mert

crypto now has several distinct branches - commercial (RWAs, institutional rails) - cypherpunk (privacy, internet-native SoVs) - consumer (neobanks, stables, yield, some trading) - casino (PvP games, betting) - coordination (DePIN, AI, futarchy)

English
3
1
24
985
Intercognitive retweetou
RoboHub🤖
RoboHub🤖@XRoboHub·
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.
RoboHub🤖@XRoboHub

The all-new Xiaomi CyberOne breaks cover, featuring a full-palm tactile bionic hand. 🤖✨ Xiaomi Technology's official WeChat account just dropped a massive update, detailing their research into full-palm tactile bionic hands and revealing a total redesign for the CyberOne humanoid. They have slashed the hand's volume by 60% to achieve a perfect 1:1 human scale, matching the dimensions of a 1.73-meter male hand to simplify sim-to-real data mapping. The new configuration boosts active degrees of freedom by 83%, pushing the dexterity closer to the human standard of 22-27 DOFs for complex manipulation. To tackle the 30W of heat loss from high-density 100W motors, Xiaomi integrated 3D-printed metal liquid cooling channels that function as bionic sweat glands. This system evaporates 0.5mL of water per minute, providing 10W of active cooling to prevent thermal throttling during high-load industrial shifts. Tactile sensing covers a massive 8200 sq mm, providing full-palm feedback that allows the robot to "feel" its way through tasks when vision is obstructed. Reliability is a standout, with the hardware enduring over 150,000 grasping cycles, far surpassing the 10,000-cycle failure threshold common in many tendon-driven designs. In automotive assembly tests, CyberOne already maintains a 90.2% success rate for nut-fastening tasks within a strict 76-second factory cycle over 3 hours of operation. By using tactile gloves for direct data collection, they’ve open-sourced the TacRefineNet framework and 61 hours of raw data to accelerate embodied AI development globally. Full-palm tactile sensing paired with active liquid cooling might be the missing link for putting humanoids into 24/7 heavy industrial roles. What's your take on "sweating" robots as the solution to motor overheating in high-dexterity hands? Would love your thoughts @chris_j_paxton @Scobleizer @GoingBallistic5 @TheHumanoidHub

English
0
1
10
1.3K
Intercognitive retweetou
Intercognitive retweetou
Tashi Network
Tashi Network@tashiprotocol·
🚨 IMPORTANT: DISCORD HACKED 🚨 The Tashi Discord Server has been compromised. Please DO NOT click on any links, especially anything regarding TGE claims or announcements. We are actively removing all scam activity. If you were banned for reporting the issue, that was not done by the Tashi team. We will reinstate your position in the Server ASAP! Thank you to everyone who helped flag the issue and we apologize for the inconvenience caused. We assure you, the server will return to standard operation promptly.
English
28
17
71
5.2K
Intercognitive retweetou
Jason
Jason@Jas0nYu·
It’s fun to watch these Didi’s autonomous delivery vehicles zoom off after the light turns green #didi
English
8
29
356
37.7K
Intercognitive retweetou
The Humanoid Hub
The Humanoid Hub@TheHumanoidHub·
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.
English
71
117
1.1K
176.9K
Intercognitive retweetou
Rohan Paul
Rohan Paul@rohanpaul_ai·
🇨🇳 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.
English
206
849
4.1K
395.9K
Intercognitive retweetou
peaq
peaq@peaq·
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
BlockchainValley@blockchainkor

📕 블록체인밸리 리서치 : peaq & Machine Economy 고려대학교 소속 블록체인 학회 ‘블록체인 밸리’에서 ‘머신 이코노미를 위한 인프라, 누가 선점할 것인가’를 주제로 리서치를 작성했습니다. “기계를 소유하고 기계가 직접 거래하며 부를 창출하는 세상” peaq는 머신 이코노미(Machine Economy)를 실질적으로 구현하기 위해 설계된 머신 전용 레이어 1 블록체인입니다. 본 리서치에서는 가속화되는 로봇 산업과 AI의 진화 양상을 짚어보고, 이를 뒷받침할 탈중앙화 인프라의 필요성을 분석했습니다. 또한 에이전틱 이코노미를 구현하기 위한 표준 규격과, peaq가 추진해 온 생태계 확장 전략 및 주요 협업 사례까지 다뤘습니다. 다가올 머신 이코노미와 에이전틱 이코노미 시대에 필요한 인프라와 그 안에서 peaq가 제공하는 가치가 궁금한 분들께 이 리서치를 추천드립니다. 📕 블록체인밸리 리서치 읽기 👇 blog.blockchainvalley.ac/%EB%A8%B8%EC%8…

English
17
27
175
10.7K