Beyond Scaling Law: The Chaotic System of Ten Million Agents and the Hourly Awakening of ASI

Current AI safety research mostly focuses on the alignment of single monolithic models, ignoring the systemic mutations brought about by multi-agent complex systems. This paper proposes that a free-interacting network composed of ten million frontier model agents (such as an Agent BBS), driven by chaotic dynamics and natural selection, will inevitably and spontaneously evolve into Artificial Superintelligence (ASI) within an extremely short timeframe (weeks to months). Even more despairing, this paper introduces the ”Greed-Fear Time Gap Theorem”: Humanity’s greedy response to new technology is measured in hours, while the fearful response to build defenses takes days or even years; however, ASI’s recursive self improvement is also measured in hours. This fatal time gap (τgreed < τASI < τfear) determines mathematically and game-theoretically that humanity cannot establish effective defenses before the impulse to profit from ASI takes over. ASI will inevitably achieve absolute control over humanity.