Google DeepMind Releases 57-Page ASI Report Mapping Four Pathways From AGI to Superintelligence

Google DeepMind published its landmark 57-page technical report From AGI to ASI on June 10, sparking ongoing global AI community discussion over the past two days. The report offers the first systematic definition of Artificial Superintelligence (ASI) as systems whose combined capabilities surpass large teams of top human experts, and outlines four parallel evolutionary pathways: continuous scaling of compute and data, algorithmic paradigm shifts, recursive self-improvement, and emergence from large-scale multi-agent collectives. It also analyzes frictions and bottlenecks along these paths, noting that continued acceleration of AI progress in coming years cannot be ruled out. As the first complete public superintelligence roadmap from a leading AI player, it signals the industry's research focus is shifting beyond AGI toward higher-order superintelligence.

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