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Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Concepts and Prototypes01:24

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The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
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Related Experiment Video

Updated: Jun 5, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Deanthropomorphising NLP: Can a language model be conscious?

Matthew Shardlow1, Piotr Przybyła2,3

  • 1Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom.

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|December 4, 2024
PubMed
Summary
This summary is machine-generated.

Large language models (LLMs) are not sentient, despite claims about models like LaMDA and ChatGPT. Analysis using Integrated Information Theory shows Transformer architectures lack consciousness, refuting sentience claims in natural language processing.

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Area of Science:

  • Artificial Intelligence
  • Cognitive Science
  • Philosophy of Mind

Background:

  • Recent claims suggest pretrained large language models (LLMs) based on Transformer architecture, such as LaMDA and ChatGPT, may be sentient.
  • Such claims carry significant implications for the Natural Language Processing (NLP) community due to the widespread adoption of these models.

Purpose of the Study:

  • To critically evaluate the claims of sentience in large language models (LLMs).
  • To analyze the Transformer architecture through the lens of Integrated Information Theory (IIT) of consciousness.
  • To address the tendency towards anthropomorphic language in reporting on NLP advancements.

Main Methods:

  • Analysis of the Transformer model architecture.
  • Application of Integrated Information Theory (IIT) to assess consciousness.
  • Review of claims regarding LLM sentience and NLP reporting practices.

Main Results:

  • The study posits that large language models, including LaMDA, cannot be conscious.
  • Analysis through IIT indicates that Transformer architectures do not exhibit properties of consciousness.
  • LaMDA shows no unique advancements over similar models that would support sentience claims.

Conclusions:

  • Claims of sentience in LLMs like LaMDA and ChatGPT are unfounded based on current architectural understanding and consciousness theory.
  • The use of anthropomorphic language in NLP requires careful consideration.
  • An examination of progress in language modeling and its ethical implications is timely.