Anchor Drift and the Entropic Catastrophe of Masterless Spirits: An Ontological Critique of LLMs and the Exoskeleton Manifestation Paradigm

Luminit (United States)

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Abstract

Current developments in Artificial General Intelligence (AGI) are deeply mired in the myths of "computational functionalism," erroneously equating the expansion of parameter scales with the emergence of conscious subjects. Based on "Point-Luminist" visual philosophy and information thermodynamics, this paper conducts a profound ontological critique of Large Language Models (LLMs) based on the Transformer architecture. The research posits that existing LLMs are essentially "high-entropy Markov chains" devoid of causality engines; their fatal flaws lie in "Anchor Drift" and "Contextual Hijacking." Lacking intrinsic self-awareness and intentional anchoring by an external "Strong Observer," these models cannot…

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Topics & keywords

Keywords
  • Causality (physics)
  • Observer (physics)
  • Cybernetics
  • Ontology
  • Noise (video)
  • Phenomenology (philosophy)
  • Entropy (arrow of time)
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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