DeepMind Paper Analyzes 4 Paths from AGI to ASI
rohanpaul_ai · x · 2026-07-06
A Google DeepMind paper systematically outlines potential pathways for transitioning from AGI to ASI (Artificial Superintelligence). The author attributes this shift to four technical routes: 1) continuously scaling compute, model size, data, and test-time inference; 2) an algorithmic paradigm shift beyond current Transformer-based foundation models; 3) recursive self-improvement where AI accelerates its own R&D; and 4) multi-agent collective intelligence, where a large number of specialized agents collaborate to form superhuman swarm intelligence.
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