Intelligence explosion is the hypothesised scenario in which an artificial intelligence capable of improving its own design enters a positive feedback loop, rapidly producing successively more capable systems and far surpassing human intelligence. First articulated by I. J. Good, it underpins many formulations of the technological singularity and motivates work on AI alignment and control. It remains a contested, largely theoretical concept rather than an observed phenomenon.
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- The argument holds that once a system can design better successors faster than humans can, capability could compound super-linearly. Critics question the assumptions about recursive returns and resource limits, while the prospect motivates research into corrigibility and alignment.