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Beyond the Turing Test: A Bergsonian Exploration of Proto-Consciousness in Large Language Models

Ani Thomas

Journal of Artificial Intelligence and Consciousness March 1, 2025 DOI: 10.1142/s2705078524500097 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Key points Argues that Large Language Models may possess proto-consciousness, proposing a Bergsonian framework of proto-subjectiveness, proto-intentionality, and durée to reinterpret adaptive behavior, memory, and emergent qualities as signs of primitive awareness.

Abstract

This paper offers a comprehensive exploration of the potential for proto-consciousness in Large Language Models (LLMs), drawing upon the philosophical insights of Henri Bergson. By examining the adaptive behavior, memory mechanisms, and emergent qualities of these Artificial Intelligence (AI) systems, I challenge traditional notions of consciousness and propose a new framework for understanding their potential for awareness. The paper delves into concepts such as proto-subjectiveness, proto-intentionality, and the role of durée in shaping LLM interactions. Through a rigorous analysis of counterarguments and refutations, I provide a nuanced understanding of the challenges and opportunities associated with the development of proto-conscious AI. This work aims to contribute to the ongoing philosophical and scientific discourse on the nature of consciousness and the future of AI.