Google DeepMind Maps Four Technical Routes From AGI to Superintelligence

A new DeepMind paper lays out four distinct pathways beyond current transformers — and multi-agent collective intelligence and recursive self-improvement get top billing alongside plain scaling.

Google DeepMind has published a paper mapping the technical routes from AGI to artificial superintelligence, highlighted in a thread by @rohanpaul_ai. The paper identifies four pathways: continued scaling, algorithmic shifts, recursive self-improvement, and multi-agent collective intelligence. What makes it notable is that it treats scaling as just one route among several, rather than the default assumption.

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