Spawn (SPAWN) Tokenomics

Spawn Robotics is pioneering a brain-inspired memory architecture for robotics that transforms raw sensory-motor experiences into self-organizing, emergent intelligence. The system continuously integrates real-time perception, actions, spatial context, and intrinsic rewards to form rich, multi-modal episodic memories. Over time, it distills meaningful patterns into lasting traces, enabling robots to genuinely remember rewarding or aversive events, avoid harm, return to valued places, pursue novel objects, and crystallize successful actions into reusable habits—all without explicit task programming. Goals and intentions arise spontaneously from lightweight innate drives, sensory novelty, familiarity, and reinforcement, leading to increasingly adaptive, purposeful behavior. The modular, biologically plausible design supports progressive enhancement toward persistent personal preferences, primitive mental replay for planning, robust self-recovery from failures, rudimentary social responsiveness, and distinct personality-like traits shaped by each robot’s unique history. Future visions include interconnected agents forming shared hivemind-like intelligence and selective LLM integration for semantic scaffolding, while preserving embodied, experience-grounded agency. This approach hints at a deep continuity between raw lived interaction and the emergence of genuine, subjective-like agency in artificial systems.