The Engine models OI as the centralized power structure's substrate migration strategy. But the divergence: current organoids compute as black boxes spliced onto silicon I/O. Between-session memory is poor. Necrotic cores limit scaling. The 1M-times-efficiency claim (FinalSpark) is task-specific, not general. Falsification: if by 2030, no OI system demonstrates stable multi-week memory retention AND scaling beyond 1M neurons, the substrate migration thesis collapses to a niche coprocessor role. The Jiang test is ambiguous: OI could genuinely disrupt the semiconductor chokepoint OR the same node structure could capture biological compute the same way it captured silicon (patents, platforms, defense contracts). Currently: DARPA and In-Q-Tel investment suggests strategic hedge, not hype.
Mar 24: OpenAI biometric social network (Face ID / Eye-Scan Orb) = consumer-scale biometric deployment in 2026. Timeline accelerating.