Tesla is the proof of concept for physical AI at scale. The stack includes: • AI4 inference chips inside the vehicle • Nvidia GPUs and Dojo chips training the self-driving AI model in data centers • A robot on wheels embodying the inference computer running the FSD model • FSD model generating tokens that instruct actuator movements — steering, braking, and acceleration • FSD Subscriptions and Robotaxi services to capture the value created

World Foundation Models (WFM) are the future of Physical AI, and we believe this future should be open-sourced. We are partnering with @Valeo_Group to build one of the largest open-source, multi-camera WFMs — redefining how Physical AI interacts with the real world.

Here are 10 brand new ETFs that just began trading this past week $SNDG - Leverage Shares 2X Long SNDK Daily ETF $STXU - Leverage Shares 2X Long STX Daily ETF $NISM - NYLI International Small-Mid Cap Equity ETF $TKNS - 21Shares Active Crypto ETF $WDRN - WisdomTree Physical AI, Humanoids, and Drones Fund $GTND - Goaltender ETF $NYYY - xETFs NVDA Daily Income ETF $TYYY - xETFs TSLA Daily Income ETF $LOHA - Roundhill HALO ETF $BHYP - Bitwise Hyperliquid ETF

At the @scsp_ai+ Expo last week, Arm’s Vince Jesaitis and Stephen Ozoigbo from our Government Affairs team led conversations on the future of AI and semiconductor growth. From scaling the physical AI stack to developing the workforce behind it, the discussions highlighted Arm’s role in enabling the performance, efficiency and scale needed for the next era of AI.

Axis Robotics Philippines 🇵🇭 – First Ambassador Line-up A strong community is never built by one person alone, but by individuals who believe in the future of Physical AI and are committed to creating long-term impact together. Today, @axisrobotics proudly introduces its first 3 Official Ambassadors for the Philippines community: @MonetaGratia15 — The Live Streamer @Belzky2 — The Referral Queen @Chunkyweb3 — The Content Creator These ambassadors represent the beginning of Axis Robotics’ journey toward strengthening and expanding the Physical AI movement within the Philippines 🇵🇭 More than simply sharing information, they will play an important role in educating, connecting, and empowering the community while helping grow the Physical AI ecosystem locally. And this is only the beginning. Keep contributing. Keep building. Keep growing with the community because the next Axis Robotics Ambassador could be you. #AxisRoboticsPH#

Massive thanks to @basepilipinas and @0xmoonlight_ for for hosting such a dynamic, insightful, and high-energy experience at the 14th BYCIT 🇵🇭 Over 500+ student participants experienced @axisrobotics firsthand - directly training Physical AI through our browser-based robotics platform on their laptops. From teleoperating robotic tasks to contributing real-world data trajectories for robot learning, students got to experience how everyday users can actively participate in building the future of Robotics General Intelligence. This is exactly what Axis is about: Making robotics data generation accessible, scalable, and community-driven. Proud to be the only robotics project at the event alongside the incredible @base PH ecosystem 📷 The future of Physical AI will not be built by a few labs alone - it will be contributed by everyone. Comment which university in Phillipines you want Axis to be there 📷👇

A machine isn’t equipment. It’s a revenue stream with a sensor stack. That’s the core insight behind the next phase of physical AI The robots are here The demand is here The capital is here What’s missing are the rails that connect productive machines to scalable finance BMW, Figure, Tesla, Amazon, K-Scale — the pattern is becoming impossible to ignore Here’s peaq’s CBO @MartinElKhouri breaking down the financing gap that holds back the Machine Economy:

Robotics doesn't have a model problem. It has a data problem. And underneath that, a deployment problem. Physical AI progresses through real-world interaction. Robots act, fail, recover, and adapt. Without shared standards, every team relearns the same lessons in isolation. Deployment standards determine whether learning compounds or resets. PrismaX is the service layer for physical AI. We run the systems that define how robots get deployed, standardize how interaction data is generated, and integrate human judgment where models fall short, turning fragmented robotics capability into deployable infrastructure. Our Mission: Enable people and robots to work together by setting the standards that allow physical AI systems to learn and improve through real-world operation. Our Vision: A world where intelligent robots are deployed responsibly and at scale, supported by systems that embed human judgment into how intelligence advances. The next chapter for physical AI is about turning real-world operation into scalable intelligence. More soon.

Meet the Robot+Data@Silicon Valley Robotics Center Event, sponsored by Fabric Foundation! Friday, May 8 @ 6:00pm – 9:00pm in San Francisco Register: Our team will be there to meet with attendees and chat all things robotics and physical AI!