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Paper outlines a five-level communication architecture for language-based ASI

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

arXiv cs.AI / cs.LG / cs.CLby Maxim Osovsky ()1 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

The proposal separates systemic activity representations, situation schemas, narrative, full sense and text, arguing context alone cannot expose utterance foundations.

The paper argues that a language model's context cannot present the foundations of utterance formation for examination, because those foundations come from acquired schemas and systemic representations of activity. It defines five levels: systemic representations, a situation cut from them, a narrative description, the full sense of a message, and text. A recipient is said to reconstruct full sense from abbreviated text through jointly agreed representations. Reverse work runs from full sense back to systemic foundations. The account draws on Shchedrovitskiy, Korzybski and Mel'chuk. Further research is described as large graphical models of activity rather than context-based text generation.

Key facts
  • A situation schema-model is treated as distinct from a story about that situation.
  • Neither context nor trained weights are said to attest to deliberately constructed representations.
  • Cited foundations are Shchedrovitskiy, Korzybski's structural differential and Mel'chuk's Meaning-Text theory.
  • The stated next step is graphical activity models on reconstructible systemic foundations.
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From the original article

1 min read at arxiv.org

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 presenting the foundations of utterance formation for examination and verification.

arXiv cs.AI / cs.LG / cs.CL

By Maxim Osovsky · arxiv.org

Read the full article at arXiv cs.AI / cs.LG / cs.CL

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.