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AGI alignment proven undecidable due to structural unverifiability

A new paper published on arXiv establishes theoretical limits on Artificial General Intelligence (AGI) safety, proving that the core challenge is not the impossibility of an aligned state, but its structural unverifiability. The research introduces the Unverifiability Theorem of Alignment and the Theorem of Finite Structural Unverifiability of AGI Alignment, grounding these limitations at Trakhtenbrot's Wall. These findings demonstrate that current engineering defenses, which rely on finite hardware or halting architectures, cannot overcome fundamental logical obstructions, leading to an inescapable triad of containment failures. AI

IMPACT Establishes fundamental theoretical limits on AGI safety, suggesting current engineering approaches may be insufficient.

RANK_REASON Academic paper published on arXiv detailing theoretical limitations of AGI alignment. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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

AGI alignment proven undecidable due to structural unverifiability

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Academic paper published on arXiv detailing theoretical limitations of AGI alignment. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jose Pascual Gumbau Mezquita ·

    The Undecidability of Artificial General Intelligence (AGI) Alignment

    arXiv:2606.28639v1 Announce Type: cross Abstract: This article establishes the foundational mathematical limits of Artificial General Intelligence (AGI) safety, proving that the core barrier is not the impossibility of an aligned state, but its structural unverifiability. We form…