What I find most interesting about Strike Robot is not just the robotics or AI agents themselves, but the way SR Platform is building an entire data economy around robot training. The partnerships with Venice and Reppo make the strategy much clearer. Venice powers the privacy-focused AI and VLM inference layer, allowing users to contribute data or train models while still protecting their identity and activity. Meanwhile, Reppo addresses an even harder problem: data quality. Through prediction markets and staking from domain experts, datasets can be continuously filtered, ranked, and improved instead of turning into low-quality open contribution data. Everything runs on Base, creating a transparent incentive system connecting: users → experts → AI models → robotics training. To me, this is the most important part: SR is not simply building AI robots. They are building decentralized infrastructure for embodied AI training at scale. @StrikeRobot_ai