







Four different perspectives
LLMs and World Models, Part 1
How do Large Language Models Make Sense of Their “Worlds”?

How Large Language Models Actually Work
What comes next with open models
Markets, capabilities, cope, and bewilderment in the industrialization of language models.

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...

Mitigating Cross-Lingual Cultural Inconsistencies in LLMs via...
Despite their impressive capabilities, multilingual large language models (MLLMs) frequently exhibit inconsistent behaviour when the prompt's language changes. While such adaptation is generally...

Mapping the Mind of a Large Language Model
We have identified how millions of concepts are represented inside Claude Sonnet, one of our deployed large language models. This is the first ever detailed look inside a modern, production-grade large language model.

Large Language Models As The Tales That Are Sung
Gene Wolfe, Albert Lord, machine culture.

Language models are multiverse generators
"Actualities seem to float in a wider sea of possibilities from out of which they were chosen; and somewhere, indeterminism says, such possibilities exist, and form part of the truth."
State Media Control Influences Large Language Models – State Media & LLMs
Hannah Waight1,2, Eddie Yang1,3, Yin Yuan4, Solomon Messing5, Margaret E. Roberts4, Brandon M. Stewart6, Joshua A. Tucker5,7
Artificial intelligence is a familiar-looking monster, say Henry Farrell and Cosma Shalizi
The academics argue that large language models have much older cousins in markets and bureaucracies

Models overview
Claude is a family of state-of-the-art large language models developed by Anthropic. This guide introduces the available models and compares their performance.
Large language models are not the problem
If a Large Language Model (LLM) can replicate your scientific contribution, the problem is not the LLM. What does it say about our field that so much of the anxiety about AI comes down to the fear that a machine could do what we do? Perhaps it says we should be doing something better.

The LLMentalist Effect: how chat-based Large Language Models rep…
The new era of tech seems to be built on superstitious behaviour

NEW MODELS 2026®
NEW MODELS is a media channel and community addressing the emergent effects of networked technology on culture.
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...

Replication Data for "State Media Control Influences Large Language Models"
Replication dataset for "State Media Control Influences Large Language Models," forthcoming in Nature (https://doi.org/10.1038/s41586-026-10506-7). We show through six studies that government control of the media across the world influences the output of large language models (LLMs) via their training data.