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AI researchers explore self-modification and superintelligence paradoxes

A new paper explores the theoretical underpinnings of artificial superintelligence, focusing on the concept of self-modification. The authors propose a formal framework using an associative operator algebra to analyze how self-modification, particularly when it extends to its own supplementary mechanisms, can lead to the collapse of classical self-referential structures. This collapse is shown to mirror paradoxes like the liar paradox and concepts from philosophical theories such as Priest's inclosure schema and Derrida's diffèrance. AI

IMPACT Explores theoretical limits of AI self-modification, potentially informing future AI safety research.

RANK_REASON The submission is an academic paper published on arXiv discussing theoretical aspects of AI.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI researchers explore self-modification and superintelligence paradoxes

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The submission is an academic paper published on arXiv discussing theoretical aspects of AI.
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Elija Perrier ·

    Deconstructing Superintelligence: Identity, Self-Modification and Diff\'erance

    arXiv:2604.19845v3 Announce Type: replace Abstract: Self-modification is often taken as constitutive of artificial superintelligence (SI), yet modification is a relative action requiring a supplement outside the operation. When self-modification extends to this supplement, the cl…