Artificial Adaptive Intelligence: The Missing Stage Between Narrow and General Intelligence
A new paper introduces the concept of Artificial Adaptive Intelligence (AAI), a stage between narrow and general intelligence. The author argues that AAI represents a convergence of various machine learning techniques that minimize human involvement in parameter specification. This framework could reshape how we measure and develop AI systems, emphasizing adaptability and performance across diverse tasks.
- ▪Artificial Adaptive Intelligence (AAI) is defined as a system that requires no human-specified tunable hyperparameters.
- ▪The paper introduces an adaptivity index to quantify progress in AAI.
- ▪Three pathways to achieving parametric minimality are proposed: data-aware configuration, structural morphing, and in-training self-adaptation.
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Computer Science > Artificial Intelligence arXiv:2605.16844 (cs) [Submitted on 16 May 2026] Title:Artificial Adaptive Intelligence: The Missing Stage Between Narrow and General Intelligence Authors:Boris Kriuk View a PDF of the paper titled Artificial Adaptive Intelligence: The Missing Stage Between Narrow and General Intelligence, by Boris Kriuk View PDF HTML (experimental) Abstract:Between the narrow systems we deploy and the general intelligence we speculate about lies an entire regime of machine behavior that has never received its own name.
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