On Language and Humanity: In Conversation With Noam Chomsky

Maite Taboada

Maite Taboada. Professor. Department of Linguistics, Simon Fraser University. Research: discourse analysis, computational linguistics

How linguistics learned to stop worrying and love the language models

Language models (LMs) can produce fluent, grammatical text. Nonetheless, some maintain that language models don’t really learn language and also, even if they did, that would not be informative for the study of human learning and processing. On the other side, there have been claims that the success of LMs obviates the need for studying linguistic theory and structure. We argue that both extremes are wrong. LMs can contribute to fundamental questions about linguistic structure, language processing, and learning. They force us to rethink arguments and ways of thinking that have been foundational in linguistics. While they do not replace linguistic structure and theory, they serve as model systems and working proofs of concept for gradient, usage-based approaches to language. We offer an optimistic take on the relationship between language models and linguistics.

We Have Always Been Action TheoristsToward a Critical Theory of Language for the Era of “Large Language Models”

Scholars of literature and culture understandably place themselves among the world’s premiere experts on matters of language. But they also know that fields like linguistics and communication have their own ways of studying how people express themselves through speech and written media. A key difference concerns the theories and methodologies...

Introducing talkie: a 13B vintage language model from 1930

This is a 24/7 live feed of Claude Sonnet 4.6 prompting talkie-1930-13b-it in order to explore its knowledge, capabilities, and inclinations. talkie’s outputs reflect the culture and values of the texts it was trained on, not the views of its authors.

Sense-making reconsidered: large language models and the blind spot of embodied cognition

Large Language Models (LLMs) demonstrate a kind of linguistic competence that theories of embodied and enactive cognition have long deemed impossible for systems lacking the meaningful perspective of a living being, i.e., the capacity for sense-making. Facing up to this unexpected technological development requires confronting what I propose to call the “AI dilemma”: either frontier LLMs are capable of sense-making despite lacking biological embodiment, or the kind of linguistic competence they exhibit does not necessarily require sense-making. In their chapter on cognition, Frank, Thompson, and Gleiser (2024) maintain that no AI system comes close to realizing relevance, a position that derives much of its motivation from past practical failures. However, frontier LLMs have effectively overcome Dreyfus’ commonsense knowledge problem, such that their dismissal as categorically mindless risks undermining Frank et al.’s central claim that human cognition is deeply intertwined with lived experience. I therefore argue in favor of the alternative side of the AI dilemma: human-level linguistic competence of LLMs should be recognized as a novel non‑biological form of sense‑making, based on a technologically‑mediated embodiment whose enabling properties are in need of further theoretical analysis. This reorientation invites enactive theory to clarify which aspects of sense-making may be universal and which aspects are specifically contingent on organic life, thereby advancing its conceptual framework in dialogue with contemporary AI.

Do You Speak ChatGPTese? Beyond Writing, AI Is Also Flattening The Way We Talk

A study of hundreds of thousands of YouTube videos and podcasts reveals that AI isn’t just changing how we write, it’s subtly altering our spoken language too, raising new concerns about cultural homogenization and who controls the words we use. A study of hundreds of thousands of lectures and podcasts reveals that AI isn’t just changing how we write, it’s subtly altering our spoken language too, raising new concerns about cultural homogenization and who controls the words we use.

Understanding Understanding: A Pragmatic Framework Motivated by...

Motivated by the rapid ascent of Large Language Models (LLMs) and debates about the extent to which they possess human-level qualities, we propose a framework for testing whether any agent (be it...

The Cloister Web: Reshaping the Political Maidan

The advent of the "Cloister Web," a conceptual space where individuals leverage Large Language Models (LLMs) to cultivate novel ideas and commit them to a persistent public memory, heralds a profound shift in our intellectual and political landscapes.

The LLMentalist Effect: how chat-based Large Language Models rep…

The new era of tech seems to be built on superstitious behaviour

Opinion | Why Save a Language? (Published 2014)

Hint: It’s not to preserve a different way of seeing the world.

We Should be Able to Change our Languages — Jimmy Miller

It's time we stopped treating languages as sacred fixed objects. We need now, more than ever, languages we can change.

On Western Terrorism: From Hiroshima to Drone Warfare

In On Western Terrorism Noam Chomsky, world renowned dissident intellectual, discusses Western power and propaganda with filmmaker and investigative journalist Andre Vltchek. The discussion weaves together a historical narrative with the two men's personal experiences which led them to a life of activism. The discussion includes personal memories, such as the New York newsstand where Chomsky began his political education, and broadens out to look at the shifting forms of imperial control and the Western propaganda apparatus. Along the way the discussion touches on many countries of which the authors have personal experience, from Nicaragua and Cuba, to China, Chile, Turkey and many more. A blast of fresh air which blows away the cobwebs of propaganda and deception, On Western Terrorism is a powerful critique of the West's role in the world which will inspire all those who read it to think independently and critically.