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Scenarios and branch points to future machine intelligence

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arxiv 2302.14478 v3 pith:YDOQJCQF submitted 2023-02-28 cs.MA cs.AIcs.CY

classification cs.MAcs.AIcs.CY
keywords constraintsscenarioadvantageagentsbranchintelligentpointsscenarios
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We discuss scenarios and branch points to four major possible consequences regarding future machine intelligence; 1) the singleton scenario where the first and only super-intelligence acquires a decisive strategic advantage, 2) the multipolar scenario where the singleton scenario is not technically denied but political or other factors in human society or multi-agent interactions between the intelligent agents prevent a single agent from gaining a decisive strategic advantage, 3) the ecosystem scenario where the singleton scenario is denied and many autonomous intelligent agents operate in such a way that they are interdependent and virtually unstoppable, and 4) the upper-bound scenario where cognitive capabilities that can be achieved by human-designed intelligent agents or their descendants are inherently limited to the sub-human level. We identify six major constraints that can form branch points to these scenarios; (1) constraints on autonomy, (2) constraints on the ability to improve self-structure, (3) constraints related to thermodynamic efficiency, (4) constraints on updating physical infrastructure, (5) constraints on relative advantage, and (6) constraints on locality.

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  1. Thermodynamic Limits of Physical Intelligence

    cs.LG 2026-02 conditional novelty 5.0 of 10

    A framework defines bits-per-joule efficiency for AI along recognition (epiplexity) and control (empowerment) axes, with a Landauer-scale limit that holds only when energy accounting boundaries are closed.

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