Dissociating language and thought in large language models

Dissociating language and thought in large language models

Large language models (LLMs) have come closest among all models to date to mastering human language, yet opinions about their linguistic and cognitive capabilities remain split. Here, we evaluate LLMs using a distinction between formal linguistic competence (knowledge of linguistic rules and patterns) and functional linguistic competence (understanding and using language in the world).
Empowering Literacy: AI-Enabled Decodable Story Generator Supported by IMSE Revolutionizes Learning

Empowering Literacy: AI-Enabled Decodable Story Generator Supported by IMSE Revolutionizes Learning

SOUTHFIELD, Mich., May 14, 2024 /PRNewswire/ -- IMSE, the leading provider of structured literacy professional development, today announced a partnership with Project Read AI to provide educators with a tool to fight the literacy crisis - a Decodable Story Generator that uses artificial intelligence to create decodable stories that are aligned to IMSE's evidence-based literacy scope and sequence.
A Cross-Cultural Account of the Metaphor Conceptualizations of Thought as Food in Persian

A Cross-Cultural Account of the Metaphor Conceptualizations of Thought as Food in Persian

This article explores the connection between food-related metaphors and Persian cultural beliefs. The researchers investigate how these concepts influence the beliefs and ideas of Persian speakers. They also compare the ontological metaphor conceptualizations of thought as food in English and Persian, highlighting the influence of embodied experiences and socio-cultural factors.