AGI的终极形态，是分布式集体智能？

Core Viewpoint - The article challenges the traditional notion of Artificial General Intelligence (AGI) as a singular entity, proposing instead that AGI may manifest as a "Patchwork AGI" composed of numerous sub-AGI agents working collaboratively, thus representing a system state rather than a single super-intelligent brain [2][5]. Group 1: Paradigm Shift - The prevailing belief in AI alignment has been dominated by a "monolithic worship," where AGI is seen as a singular, all-knowing entity developed by specific institutions [4]. - Google DeepMind's research suggests a more realistic and promising path where AGI emerges from a collective of sub-AGI agents interacting within complex systems [5]. Group 2: Economic Drivers - The transition to multi-agent systems is driven by economic logic, as single advanced models often represent expensive, one-size-fits-all solutions with diminishing returns for everyday tasks [7]. - Businesses prefer cost-effective, specialized models over expensive, generalized ones, leading to the emergence of numerous fine-tuned, cost-efficient sub-agents [7]. Group 3: Deep Defense Framework - A "Defense-in-depth" model is proposed to address the decentralized risks associated with distributed AGI, consisting of four complementary defense layers [9]. - The first layer involves market design, placing agents in controlled virtual economic sandboxes to regulate behavior through market mechanisms rather than administrative commands [11]. - The second layer focuses on baseline agent safety, ensuring that all components meet minimum reliability standards and operate within local sandboxes [12]. - The third layer emphasizes real-time monitoring and supervision, utilizing AI systems to analyze vast transaction data and detect emergent risks [13]. - The fourth layer introduces external regulatory mechanisms, treating agents as legal entities and implementing insurance measures to incentivize safer development practices [14]. Group 4: Future Implications - The evolution towards a "Patchwork AGI" signifies a shift from a singular focus on a dominant entity to governance of a complex "agent society," necessitating a new approach to AI safety and governance [15]. - Future research in AI safety will likely concentrate on agent market design, secure communication protocols, and distributed governance frameworks [15].