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New ASI communication architecture proposed in arXiv paper

This paper introduces a five-level framework for understanding communication within Artificial Superintelligence (ASI) systems. It argues that current language models lack the ability to examine the foundational schemas and systemic representations of the world that underpin utterance formation. The proposed architecture distinguishes between systemic representations, specific situations, narrative descriptions, full message sense, and the final text. This framework aims to provide a method for analyzing and adjusting message foundations and their consequences, drawing theoretical inspiration from systems methodology, structural differential theory, and Meaning-Text theory. AI

IMPACT Proposes a theoretical framework for ASI communication, potentially influencing future AI architectures.

RANK_REASON The cluster contains a single academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New ASI communication architecture proposed in arXiv paper

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The cluster contains a single academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Maxim Osovsky (Adam University, Bishkek, Kyrgyzstan) ·

    From Deliberately Constructed Systemic Representations of the World of Activity to Dialogue: A Five-Level Communication Architecture for Strong Language-Based ASI

    arXiv:2610.32869v1 Announce Type: new Abstract: This paper proposes a five-level organization of message formation and understanding within thinking and activity in which ASI participates. Its central thesis is that a language model's context is fundamentally incapable of present…