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This is Rivian's next-generation Autonomy hardware and software platform, which the company says is a "self-improving, end-to-end AI system for our autonomy platform that scales." • 11 cameras (65 total megapixels) • 5 radars • New front-facing LiDAR • Powered by a new in-house designed chip called RAP1 (5nm...

282,679 views • 7 months ago •via X (Twitter)

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A Letter to Our Community: The Road Ahead for Robotics To our Community and Partners, As we step into 2026, our mission at Axis is clearer than ever: Constructing the definitive End-to-End Scaling Layer for Robotics. Our goal is to accelerate the transfer of diverse human intelligence into Robotics General Intelligence (RGI). By owning the critical path of intelligence creation, we are turning the physical limitations of robotics into a scalable, software-driven future. Here is our strategic outlook and roadmap for the year ahead. The Core Thesis: Simulation is the Only Way Out The path to RGI is currently blocked by Data Scarcity, Generalization Fragility, and Hardware Fragmentation. At Axis, we believe Simulation is the only way out. Our Simulation Data Platform and Data Augmentation Engine transform raw data into "Synthetic Gold". Backed by academic milestones like Roboverse, Skill Blending, and GraspVLA, we have proven that pure simulation can achieve the generalization required for the real world. We don’t just collect data; we architect it. The Engine: Why Crypto? We believe RGI should come from all, not a few. Crypto is not just a feature; it is the primitive that powers our entire ecosystem flywheel: - Incentive Mechanism: Democratizing contribution and rewarding the trainers and developers. - Assetization: Turning proprietary data and refined models into liquid, ownable assets. - Verifiable Workflow: We are opening the "Black Box" of AI. By bringing total transparency to the Task Generation → Data Collection → Model Training pipeline, we ensure every byte of intelligence is verifiable, traceable, and secure. 2026 Strategic Deliverables This year, we are committed to delivering three foundational pillars: - The World's Largest Training Dataset for Robots: A robot training set—diverse, high-quality interaction data at an unprecedented scale. - A Robotics Foundation Model: A universal robotic brain trained on our pure simulation and synthetic data, capable of robust cross-embodiment transfer and open-world adaptability. - Evolvable Robot Hardware: Robots deployed with Axis models that autonomously evolve through continuous interaction, turning every deployment into a self-improving node within our RGI network. The Ultimate Vision We are building more than models; we are architecting the Distributed Machine Economy. A future where every dataset, model, and robotic embodiment is a verifiable asset in a global, autonomous network. Thank you for building the future of intelligence with us✌️📷

Axis Robotics

27,858 views • 7 months ago

Machine Tokenization is HERE 🔥 Introducing the world's first Machine Real-World Asset (#RWA) Tokenization platform, by Teneo, powered by peaq 🌎 Up until now, real-world apps (#DePINs) have been limited by hardware costs. Individuals can often afford WiFi routers or smartphones, but fleets of vehicles or wind turbines? There's no way to build a Decentralized Physical Infrastructure Network (#DePIN) which revolves around such large and expensive hardware... Or is there? 🤨 Enter the Machine Tokenization Platform⚡️ The platform exists to lower the barrier to entry for communities to build virtually any #DePIN. Imagine being able to fund, own, and earn from fleets of autonomous cars or robots, vertical robo-farms, ferry boats, #VTOLs... The possibilities are endless, and this era starts now. Tokenized Teslas ✅ ELOOP has already successfully tokenized a fleet of Teslas for a car-sharing pilot project in Vienna 🇦🇹 which saw the community earn revenue as the Teslas were used. Check out these videos 🎞️ Web3 Tesla-Sharing: You drive, everyone earns: Same, but better. | Web3 Car-Sharing Demo by ELOOP & peaq: With the success of this initiative showcasing the soundness of the underlying model, ELOOP is now building a Machine RWA tokenization platform on peaq to replicate this approach at scale 📈 DePIN Layer-1 Synergies 🧲 Existing and prospective DePINs can leverage the Machine Tokenization platform to lower the barrier to hardware adoption for their users, enabling all kinds of new DePIN use cases on peaq 🦾 A range of Web2 and Web3 projects are already exploring pilot projects on the platform, including Dabba Network 🟨, a connectivity DePIN working to deliver Web access to the unconnected. Already testing on krest 🔥 ELOOP is already testing the platform on krest, peaq’s canary network, and plans to launch it on the peaq mainnet, which will go live this year. “We’re excited to move beyond tokenizing Teslas and offer this exciting, proven model to businesses and communities. Machine RWA tokenization opens up a new era of fractional ownership and participation in the value generated by machines, and we are happy to be chartering this path forward with peaq.” - Nico Prugger, co-founder, ELOOP Read all about it:

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