An Approach to Demonstrate That a Cognitive System Does Not Have Subjective Consciousness
International Journal on Cybernetics & Informatics August 16, 2024 DOI: 10.5121/ijci.2024.130407 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Argues that transformer-based large language models lack subjective consciousness because they have no central subject, using a variation of Searle's Chinese Room thought experiment as the basis of a proof. Contends, however, that these models exhibit a form of "asubjective phenomenal understanding" demonstrated through various tasks and tests, suggesting understanding can be uncoupled from subjective experience. |
Abstract
With Large Language Models (LLMs) exhibiting astounding abilities in human language processing and generation, a crucial debate has emerged: do they truly understand what they process and can they be conscious? While the nature of consciousness remains elusive, this synthetic article sheds light on its subjective aspect as well as some aspects of their understanding. Indeed, it can be shown, under specific conditions, that a cognitive system does not have any subjective consciousness. To this purpose the principle of a proof, based on a variation of the thought experiment of the Chinese Room from John Searl, will be developed. The demonstration will be made on a transformer architecture-based language model, however, it could be carried out and extended to many kind of cognitive systems with known architecture and functioning. The main conclusions are that while transformers architecture-based LLMs lack subjective consciousness based, in a nutshell, on the absence of a central subject, they exhibit a form of “asubjective phenomenal understanding” demonstrably through various tasks and tests. This opens a new perspective on the nature of understanding itself that can be uncoupled with any subjective experience.