Elan Barenholtz

Elan Barenholtz, a cognitive scientist at Florida Atlantic University, dives deep into the unsettling idea that language operates as a self-contained system, detached from the external world. He reveals how AI can generate language devoid of inherent meaning, prompting a reevaluation of mind and perception. The conversation covers the fluidity of language, its relationship with sensory experiences, and the fascinating dynamics of language models. Barenholtz challenges traditional perceptions and highlights the complexities of understanding reality through linguistic constructs.

Professors Elan Barenholtz and William Hahn dive deep into a radical idea: what if language shapes our thoughts and behavior like an autonomous software? Barenholtz argues that language operates independently in our minds, while Hahn extends this to virtual machines, suggesting consciousness is just one among many running programs. They discuss cognition as a dynamic output rather than mere storage, questioning how concepts like memory and even God could just be tokens in a vast informational system. Their insights challenge our understanding of self and reality.

Dr. Elan Barenholtz, cognitive scientist and professor exploring language as a predictive/autocomplete system. He unpacks how words calcify and drift from lived meaning. Short, punchy takes cover language as societal coordination, propaganda’s reshaping of terms, LLM analogies, and ways to reground language to reality.

Elan Barenholtz, a cognitive scientist who studies vision, language, and computational models of mind, joins the conversation. He describes language as a self-generating informational structure. They explore virtual governors, minimal systems that reveal hidden computation, and whether language-like patterns arise across brains, AI, and other substrates.

Dr. Elan Barenholtz, cognitive scientist who studies language and perception, presents the idea that language is autogenerative and runs on its own internal logic. He compares human language to large language models and explores how language can shape thought, enable internal simulation, and sometimes detach from direct sensory reality. The conversation highlights limits of meaning, Chomsky’s legacy, and where LLMs mirror linguistic structure.