A Cornell Tech receiver uses photocurrents from red light beams to alter its own memory directly. This bypasses traditional data processing to update AI model parameters on the fly. The hardware allows robots to receive instant configuration changes without software bottlenecks. It simplifies how edge devices ingest new weights from remote sources.