mberk 🦾

Everyone missed what @Vader_AI_ was actually building... They weren't building a data collection app. They were building the physical AI infrastructure stack for the humanoid era. Built on @virtuals_io Most people saw the glasses phase and stopped there. Wear a headset. Complete structured daily tasks on camera. Earn $VADER. That was the surface layer. What was actually happening: Vader was collecting egocentric video data from human participants at scale. First-person footage of real physical actions in real environments. The exact perspective from which robotic systems must eventually operate. You weren't just doing tasks for tokens... You were building the training dataset for the next generation of humanoid robots. Now that data layer is plugged into a full three-layer physical AI infrastructure protocol. ➜ Layer 1 collects three modalities of physical AI training data ⇁ EgoPlay: egocentric video from participants completing structured daily tasks ⇁ SimPlay: synthetic data generated in physics-based simulation environments (MuJoCo) ⇁ Remote Teleops: high-fidelity manipulation data recorded via robotic arm control ➜ Layer 2 turns that data into trained models ⇁ World Action Models (WAMs) learn general representations of physical action ⇁ Vision Language Action Models (VLAs) bridge visual input with language-conditioned outputs ⇁Task-Specific Policy networks trained for defined manipulation or locomotion tasks ➜ Layer 3 closes the loop on real hardware ⇁ Partners validate trained models on Unitree G1 humanoids in controlled lab environments ⇁ No hardware ownership required ⇁ Access is gated by staking $VADER End-to-end. Raw data to trained model to hardware validation. One protocol. Season 2 is live right now. 200K $VADER pool. Snapshot May 4. Distribution May 11. Data contributed today feeds partners who stake $VADER to access it. Those partners train robotics models and validate them on deployed physical hardware. The protocol grows as participation grows. Think about what early contributors actually built. A dataset of grounded, real-world human action data that doesn't exist outside closed institutional research labs. The exact type of data robotics teams worldwide need to train competitive physical AI systems. You were the training signal. The humanoids are the output. If humanoid deployment is the next compute race, who else is building a protocol that lets everyday participants own a piece of that pipeline from day one? The glasses were just the start...