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Figure is aiming to develop the world’s largest and most diverse real-world humanoid pretraining dataset. For this purpose, they’re partnering with Brookfield, a global asset manager overseeing $1 trillion in assets, including 100,000 residential units, 500M square feet of commercial office space, and 160M square feet of logistics space....

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The Humanoid Hub

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88,600 просмотров • 10 месяцев назад •via X (Twitter)

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Robotics is a data problem. Today, we’re partnering with ABB Robotics, Universal Robots, and NVIDIA Robotics to deploy the Skild Brain across real-world industries from manufacturing to factory lines. This will help us build the world’s biggest data flywheel for physical AI.
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Robotics is a data problem. Today, we’re partnering with ABB Robotics, Universal Robots, and NVIDIA Robotics to deploy the Skild Brain across real-world industries from manufacturing to factory lines. This will help us build the world’s biggest data flywheel for physical AI.

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What if a network could deliver AI results closer to where data is created, instead of sending it to far‑off data centers? In collaboration with NVIDIA and Decart, we’re making that a reality by bringing GPU‑powered computing to the network edge — closer to homes and businesses — so AI applications respond in real-time. This is how we're laying the foundation for the next generation of AI‑driven services:
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What if a network could deliver AI results closer to where data is created, instead of sending it to far‑off data centers? In collaboration with NVIDIA and Decart, we’re making that a reality by bringing GPU‑powered computing to the network edge — closer to homes and businesses — so AI applications respond in real-time. This is how we're laying the foundation for the next generation of AI‑driven services:

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XRP Ledger to Unlock $196 Trillion Real Estate Market in 24 hours. RealFI will officially launch its Retail Platform on August 3rd, marking a key milestone in the effort to onboard the $650 trillion global real estate market onto the XRP Ledger using Real Token. Purchase REAL Token directly: This launch unlocks access to $196 trillion in private real estate, enabling individuals to create digital real estate assets directly on the XRP Ledger. It also allows for the purchase of real-world assets, including property, using $REAL and $XRP — all fully integrated within the XRP Ledger ecosystem. Follow RealFI Payment Solution for updates.
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XRP Ledger to Unlock $196 Trillion Real Estate Market in 24 hours. RealFI will officially launch its Retail Platform on August 3rd, marking a key milestone in the effort to onboard the $650 trillion global real estate market onto the XRP Ledger using Real Token. Purchase REAL Token directly: This launch unlocks access to $196 trillion in private real estate, enabling individuals to create digital real estate assets directly on the XRP Ledger. It also allows for the purchase of real-world assets, including property, using $REAL and $XRP — all fully integrated within the XRP Ledger ecosystem. Follow RealFI Payment Solution for updates.

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ELON MUSK: The future of AI data centers is space and sooner than you’d think. Mark my words… in 36 months the most economically compelling place to put AI will be space. JENSEN HUANG: The amount of energy that we need for computing is probably 1,000x more than we currently have. JEFF BEZOS: The idea of data centers in space is very realistic. Data centers in space will happen. SAM ALTMAN: No. —— Sam Altman is getting too comfortable after taking OpenAI from Elon, forgetting that in the end, the ones who control the infrastructure, data centers and energy, will decide the future of AI.
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ELON MUSK: The future of AI data centers is space and sooner than you’d think. Mark my words… in 36 months the most economically compelling place to put AI will be space. JENSEN HUANG: The amount of energy that we need for computing is probably 1,000x more than we currently have. JEFF BEZOS: The idea of data centers in space is very realistic. Data centers in space will happen. SAM ALTMAN: No. —— Sam Altman is getting too comfortable after taking OpenAI from Elon, forgetting that in the end, the ones who control the infrastructure, data centers and energy, will decide the future of AI.

Kekius Maximus

10,386 просмотров • 2 месяцев назад

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Tokenized Stocks: Coming to RWAX Next Month Real-world asset tokenization is projected to reach trillions in value over the next few years. Stocks are the most understood and traded form of 'real assets' - exceeding the trade value of real estate. Despite the momentum, most of the space is still dominated by institutional players with limited access for everyday users. That’s where RWAX comes in. By building a Tokenized Stocks Trading Terminal that offers diversified exposure to real-world assets on-chain, RWAX makes it simple for anyone to get involved in this emerging category. The countdown to launch starts now.

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Delighted to share our latest partnership with Streamr Network! Streamr is at the forefront of P2P real-time data delivery, removing the need for centralized servers. Their network is key infra for DePIN, AI and Web3. It works via a mesh of data pipelines - think of it as ‘BitTorrent for real-time data’. Here's the scoop on our collaboration with Streamr: One Click Node Deployment: CloudVerse users will be able to deploy Streamr nodes and earn $DATA rewards by participating on the network. Ecosystem Network Management: CloudSec and OneSec node base will leverage the Streamr Network for collaboration to synchronize data and coordinate actions. Spawn your own P2P Network: Alongside our upcoming data storage and hosting solutions, OneSec users will be able to create their own ‘publish subscribe’ data pipelines via the Streamr protocol, in a permissionless manner. This partnership is fuelled by our shared commitment to data security, privacy, and a truly decentralized digital world. Here's to the many technical synergies ahead! - End of post, beware of scammers -
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Delighted to share our latest partnership with Streamr Network! Streamr is at the forefront of P2P real-time data delivery, removing the need for centralized servers. Their network is key infra for DePIN, AI and Web3. It works via a mesh of data pipelines - think of it as ‘BitTorrent for real-time data’. Here's the scoop on our collaboration with Streamr: One Click Node Deployment: CloudVerse users will be able to deploy Streamr nodes and earn $DATA rewards by participating on the network. Ecosystem Network Management: CloudSec and OneSec node base will leverage the Streamr Network for collaboration to synchronize data and coordinate actions. Spawn your own P2P Network: Alongside our upcoming data storage and hosting solutions, OneSec users will be able to create their own ‘publish subscribe’ data pipelines via the Streamr protocol, in a permissionless manner. This partnership is fuelled by our shared commitment to data security, privacy, and a truly decentralized digital world. Here's to the many technical synergies ahead! - End of post, beware of scammers -

OpSec

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XRP Ledger to Unlock $196 Trillion Private Real Estate Market on August 3rd thru RealFI. August 3rd will mark a groundbreaking step toward onboarding the $650 trillion global real estate market onto the XRP Ledger, as RealFI officially launches its Platform for Retail. This will mark a major milestone, unlocking the ability for $196 trillion of the $650 trillion global real estate market to be onboarded to the XRP Ledger. The RealFi Asset Market will allow both individuals and institutions to digitally tokenize their real-world assets — including real estate — directly on the XRP Ledger. The RealFI Digital Market will also enable users to purchase real estate directly using $REAL Token and $XRP, all transacted natively on the XRP Ledger. $REAL Token can be purchased directly at: Learn more about RealFI at: - Follow us on X: RealFI

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📣 ICB Labs partners with Terminus to power next-generation crypto payments across APAC 🤝 We’re proud to announce our partnership with Terminus, a leader in QR-code payment solutions driving real-world adoption of digital assets. ⭐️ By integrating Terminus’ cutting-edge payment technology with the ICB ecosystem—including and the upcoming creating seamless payment rails for tokenized real estate, NFT-based credentials, and everyday crypto transactions. 🌏 This collaboration accelerates our mission to bring secure identity and real-world blockchain utility to users across Thailand, Vietnam, Indonesia, Japan, Singapore, and beyond. 🔗 Payments meet Web3 innovation. Real-world assets meet global access. #ICBX

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You thought the sky was the limit? Wingbits is going to space 🚀 thanks to a strategic partnership with Spire, leader in space-based data and operator of the largest multipurpose satellite constellation. 🛰️ Together we’re launching a new satellite that will act as a validator of Wingbits’ ground data, increasing the security and reliability of our global flight tracking network. The satellite is scheduled for launch on the SpaceX Transporter-13 mission.
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You thought the sky was the limit? Wingbits is going to space 🚀 thanks to a strategic partnership with Spire, leader in space-based data and operator of the largest multipurpose satellite constellation. 🛰️ Together we’re launching a new satellite that will act as a validator of Wingbits’ ground data, increasing the security and reliability of our global flight tracking network. The satellite is scheduled for launch on the SpaceX Transporter-13 mission.

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GROK DOMINATES AI AT SCALE, REDEFINING WHAT’S POSSIBLE IN REAL TIME Most AI models stall at the prototype phase. Grok advances beyond limits where others fail to perform. •⁠ ⁠Built for real-time decisioning across vast data landscapes •⁠ ⁠Optimized to process, synthesize, and respond with human-like fluidity •⁠ ⁠Deploys intelligence at the edge, not just in the cloud •⁠ ⁠Powers robotics, research, and infrastructure in live environments •⁠ ⁠Infrastructure built to evolve, not collapse, under scale Grok delivers high-performance AI built for deployment and real-world use. Source: xAI, Grok, Elon Musk
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GROK DOMINATES AI AT SCALE, REDEFINING WHAT’S POSSIBLE IN REAL TIME Most AI models stall at the prototype phase. Grok advances beyond limits where others fail to perform. •⁠ ⁠Built for real-time decisioning across vast data landscapes •⁠ ⁠Optimized to process, synthesize, and respond with human-like fluidity •⁠ ⁠Deploys intelligence at the edge, not just in the cloud •⁠ ⁠Powers robotics, research, and infrastructure in live environments •⁠ ⁠Infrastructure built to evolve, not collapse, under scale Grok delivers high-performance AI built for deployment and real-world use. Source: xAI, Grok, Elon Musk

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Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.
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Robora Sim: A PyBullet-Powered Environment for Learning Robotic Physical Intelligence We are currently building our Robora simulation environment setup for our sim based learning, leveraging PyBullet, an industry-standard physics engine widely used in AI-driven robotics research and development. The environment is optimized with GPU-accelerated learning algorithms, enabling high-speed imitation learning and reinforcement learning within a safe and controlled virtual setup before shipping out to real world. This simulation platform allows our models to learn, adapt, and generalize across different robot morphologies, terrain types and task objectives - all before deployment to the real world. At it's core, the system combines a VLA-powered high-level planner with low-level motion control algorithms, working cohesively to produce emergent, physically intelligent behaviors. This synergy between simulation, learning, and real-world transfer marks a major step forward in our pursuit of adaptive and intelligent robotic systems. Through advanced domain randomization and synthetic data generation, the Robora Simulation Environment ensures that policies trained in simulation transfer effectively to real-world robots, minimizing the sim-to-real gap. Moreover, users will be able to test and integrate their own hardware kits within selected simulation environments in the Robora Dapp, ensuring seamless compatibility and safer real-world implementation.

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OVER x Silencio We’re partnering with Silencio | Voice Data for AI to add a new layer of data to the OVER mapping experience. Starting today, users can optionally capture real-world sound while creating their 3D maps inside the OVER app, and we seamlessly share the noise data with Silencio. This will soon allow mappers who capture both visuals and sound to also unlock additional rewards for their contribution. 🌎 We map physical locations around the world. 🌎 Silencio maps the world through sound. Together combining visual + audio signals , we’re enriching the foundation of Physical AI with deeper, multi-layered real-world data.
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OVER x Silencio We’re partnering with Silencio | Voice Data for AI to add a new layer of data to the OVER mapping experience. Starting today, users can optionally capture real-world sound while creating their 3D maps inside the OVER app, and we seamlessly share the noise data with Silencio. This will soon allow mappers who capture both visuals and sound to also unlock additional rewards for their contribution. 🌎 We map physical locations around the world. 🌎 Silencio maps the world through sound. Together combining visual + audio signals , we’re enriching the foundation of Physical AI with deeper, multi-layered real-world data.

Over the Reality 🌐

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We just streamed the first ultra-HD video brought to you via laser from deep space. And it’s a video of Taters, a tabby cat. This test will pave the way for high-data-rate communications in support of the next giant leap: sending humans to Mars.
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We just streamed the first ultra-HD video brought to you via laser from deep space. And it’s a video of Taters, a tabby cat. This test will pave the way for high-data-rate communications in support of the next giant leap: sending humans to Mars.

NASA

1,967,496 просмотров • 2 лет назад

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🟢OCY DePIN is Live - The AI Data Storage DePIN and the Data Module of our infrastructure. After a year+ of hard work, 2.5M community nodes validated, reaching 5 exabytes of data spaces - we are excited to present OCY. 🟩This is a major step towards the Age of AI, unlocking agentic and ai use-cases requiring secure, ai-native, decentralized data infrastructure. OCY will be used within all over modules in the Rivalz Abstraction Layer going forward. Soon we will be announcing a Hackathon for builders to elevate OCY to a new level. Develop Docs - Developer Console -

Rivalz Network

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𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲’𝘀 𝘁𝗮𝗹𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 “𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜" - the idea that we can simulate real-world environments so well that robots trained in simulation will work perfectly in reality. 𝗧𝗵𝗲 𝗽𝗿𝗼𝗺𝗶𝘀𝗲: Train in virtual worlds → deploy anywhere. 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹𝗶𝘁𝘆: I’ve seen too many teams fall into this trap. After working with manipulation teams at Berkeley, Imperial, and Dyson, here’s the pattern: • 𝗪𝗲𝗲𝗸 𝟭: “Our policy works perfectly in simulation!” • 𝗪𝗲𝗲𝗸 𝟰: “Why doesn’t this work on real objects?” • 𝗠𝗼𝗻𝘁𝗵 𝟮: “We basically need to retrain from scratch with real data.” 𝗧𝗵𝗲 𝗴𝗮𝗽 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝗰𝗮𝗻’𝘁 𝗯𝗿𝗶𝗱𝗴𝗲: Unlike blind locomotion policies that can get away with sim-to-real transfer because they rely mainly on proprioception and contact forces, 𝘃𝗶𝘀𝗶𝗼𝗻-𝗴𝘂𝗶𝗱𝗲𝗱 𝗺𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗲𝘅𝘁𝗿𝗲𝗺𝗲𝗹𝘆 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗲 𝘁𝗼 𝘃𝗶𝘀𝘂𝗮𝗹 𝗱𝗼𝗺𝗮𝗶𝗻 𝗴𝗮𝗽𝘀. • Real friction vs simulated surface textures • Manufacturing tolerances vs perfect CAD models • Dynamic lighting vs controlled virtual environments • Sensor noise vs instantaneous virtual readings 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝗱𝗼𝗻'𝘁 𝘁𝗮𝗹𝗸 𝗮𝗯𝗼𝘂𝘁: Building these detailed simulated environments takes forever. If it takes 7 days to build a simulated kitchen in simulation, wouldn't it be better to just collect real-world data in a real kitchen instead? 𝗗𝗼𝗻'𝘁 𝗴𝗲𝘁 𝗺𝗲 𝘄𝗿𝗼𝗻𝗴 - simulation is incredible for debugging, safety testing, and exploring edge cases. But it's not a magic solution to real-world deployment. 𝗪𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀: Use simulation strategically while making real-world data collection as efficient and flexible as possible. This is why Neuracore focuses on streamlined real-world data infrastructure. Because no amount of virtual training can replace understanding how your robot actually behaves in actual environments. 𝗧𝗵𝗲 𝗽𝗵𝘆𝘀𝗶𝗰𝘀 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗰𝗮𝗻'𝘁 𝗯𝗲 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗲𝗱 𝗮𝘄𝗮𝘆. What’s been your experience with sim-to-real transfer?
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𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲’𝘀 𝘁𝗮𝗹𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 “𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜" - the idea that we can simulate real-world environments so well that robots trained in simulation will work perfectly in reality. 𝗧𝗵𝗲 𝗽𝗿𝗼𝗺𝗶𝘀𝗲: Train in virtual worlds → deploy anywhere. 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹𝗶𝘁𝘆: I’ve seen too many teams fall into this trap. After working with manipulation teams at Berkeley, Imperial, and Dyson, here’s the pattern: • 𝗪𝗲𝗲𝗸 𝟭: “Our policy works perfectly in simulation!” • 𝗪𝗲𝗲𝗸 𝟰: “Why doesn’t this work on real objects?” • 𝗠𝗼𝗻𝘁𝗵 𝟮: “We basically need to retrain from scratch with real data.” 𝗧𝗵𝗲 𝗴𝗮𝗽 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀 𝗰𝗮𝗻’𝘁 𝗯𝗿𝗶𝗱𝗴𝗲: Unlike blind locomotion policies that can get away with sim-to-real transfer because they rely mainly on proprioception and contact forces, 𝘃𝗶𝘀𝗶𝗼𝗻-𝗴𝘂𝗶𝗱𝗲𝗱 𝗺𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗲𝘅𝘁𝗿𝗲𝗺𝗲𝗹𝘆 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗲 𝘁𝗼 𝘃𝗶𝘀𝘂𝗮𝗹 𝗱𝗼𝗺𝗮𝗶𝗻 𝗴𝗮𝗽𝘀. • Real friction vs simulated surface textures • Manufacturing tolerances vs perfect CAD models • Dynamic lighting vs controlled virtual environments • Sensor noise vs instantaneous virtual readings 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝗱𝗼𝗻'𝘁 𝘁𝗮𝗹𝗸 𝗮𝗯𝗼𝘂𝘁: Building these detailed simulated environments takes forever. If it takes 7 days to build a simulated kitchen in simulation, wouldn't it be better to just collect real-world data in a real kitchen instead? 𝗗𝗼𝗻'𝘁 𝗴𝗲𝘁 𝗺𝗲 𝘄𝗿𝗼𝗻𝗴 - simulation is incredible for debugging, safety testing, and exploring edge cases. But it's not a magic solution to real-world deployment. 𝗪𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸𝘀: Use simulation strategically while making real-world data collection as efficient and flexible as possible. This is why Neuracore focuses on streamlined real-world data infrastructure. Because no amount of virtual training can replace understanding how your robot actually behaves in actual environments. 𝗧𝗵𝗲 𝗽𝗵𝘆𝘀𝗶𝗰𝘀 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗰𝗮𝗻'𝘁 𝗯𝗲 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗲𝗱 𝗮𝘄𝗮𝘆. What’s been your experience with sim-to-real transfer?

Stephen James

25,300 просмотров • 10 месяцев назад

It's been incredible to see neural networks working so well on our humanoid robots Humanoids are crazy complex - an individual motor can rotate 360 degrees and you have 40+ joints. If you do the math, that means more possible robot states than atoms in the universe Figure has our own AI model called Helix that we've designed in-house. A single Helix neural network now outputs both manipulation and navigation, end-to-end from language and pixel input Every leap in machine learning has come from massive, diverse datasets. At Figure, we’re currently building the largest pretraining dataset for humanoids in history - excited to see what this unlocks
0:14

It's been incredible to see neural networks working so well on our humanoid robots Humanoids are crazy complex - an individual motor can rotate 360 degrees and you have 40+ joints. If you do the math, that means more possible robot states than atoms in the universe Figure has our own AI model called Helix that we've designed in-house. A single Helix neural network now outputs both manipulation and navigation, end-to-end from language and pixel input Every leap in machine learning has come from massive, diverse datasets. At Figure, we’re currently building the largest pretraining dataset for humanoids in history - excited to see what this unlocks

Brett Adcock

93,986 просмотров • 10 месяцев назад

Real world news. We’ve entered into a strategic partnership with Inveniam - a global leader in decentralized data infrastructure for private market assets. Together, we’ll be building a global institutional ecosystem for #realworldassets that’s anchored in the #UAE and #UnitedStates. The collaboration includes a $20 million investment in MANTRA. With Inveniam, we’ll be addressing many of the concerns and blockers that private institutions often encounter when bringing their RWAs onchain. Here's a high level look at what this means 🧵👇🕉️
0:16

Real world news. We’ve entered into a strategic partnership with Inveniam - a global leader in decentralized data infrastructure for private market assets. Together, we’ll be building a global institutional ecosystem for #realworldassets that’s anchored in the #UAE and #UnitedStates. The collaboration includes a $20 million investment in MANTRA. With Inveniam, we’ll be addressing many of the concerns and blockers that private institutions often encounter when bringing their RWAs onchain. Here's a high level look at what this means 🧵👇🕉️

MANTRA | The EVM L1 for RWAs

215,924 просмотров • 11 месяцев назад

Exciting news from HYPE3.cool! We’re teaming up with Chainbase (💜,💛), the world’s largest omnichain data network to supercharge AI agents with robust on-chain data. Very soon, users will be able to integrate real-time blockchain insights when configuring their agents—making them smarter and more capable than ever! What this means: - Real-time on-chain data for enhanced decision-making - Greater agent intelligence powered by advanced data analytics - Seamless blockchain integration backed by Chainbase (💜,💛)’s decentralized infrastructure About Chainbase: Chainbase is the world’s largest omnichain data network built to power the AI economy with high-quality on-chain data. Through its innovative four-layer, dual-consensus architecture, Chainbase’s network, anchored by Chainbase AVS, provides secure, interoperable data for AI and Web3. Your AI agents can now tap into rich, reliable on-chain insights—paving the way for more dynamic and intelligent interactions. This is just the start of making AI agents truly Web3-native. Stay tuned as we build the future of intelligent property in partnership with Chainbase (💜,💛)! #Web3 #AI #Blockchain
0:10

Exciting news from HYPE3.cool! We’re teaming up with Chainbase (💜,💛), the world’s largest omnichain data network to supercharge AI agents with robust on-chain data. Very soon, users will be able to integrate real-time blockchain insights when configuring their agents—making them smarter and more capable than ever! What this means: - Real-time on-chain data for enhanced decision-making - Greater agent intelligence powered by advanced data analytics - Seamless blockchain integration backed by Chainbase (💜,💛)’s decentralized infrastructure About Chainbase: Chainbase is the world’s largest omnichain data network built to power the AI economy with high-quality on-chain data. Through its innovative four-layer, dual-consensus architecture, Chainbase’s network, anchored by Chainbase AVS, provides secure, interoperable data for AI and Web3. Your AI agents can now tap into rich, reliable on-chain insights—paving the way for more dynamic and intelligent interactions. This is just the start of making AI agents truly Web3-native. Stay tuned as we build the future of intelligent property in partnership with Chainbase (💜,💛)! #Web3 #AI #Blockchain

HYPE3.cool

17,700 просмотров • 1 год назад