What Happens, Exactly, When a Person Talks to an LLM?

Take caution in using LLMs as human surrogates | PNAS

Recent studies suggest large language models (LLMs) can generate human-like responses, aligning with human behavior in economic experiments, survey...

LLMs and World Models, Part 1

How do Large Language Models Make Sense of Their “Worlds”?

"AI Psychosis" in Context: How Conversation History Shapes...

Extended interaction with large language models (LLMs) has been linked to the reinforcement of delusional beliefs, attracting clinical and public concern. Yet most empirical work evaluates model...

Here’s what’s really going on inside an LLM’s neural network

Anthropic's conceptual mapping helps explain why LLMs behave the way they do.

Illusions of Understanding from Outsourcing Thinking to LLMs

Some illusions of understanding are an inevitable part of the research process, while others can be avoided or overcome by careful critical thinking and observation. We are facing an increased risk of avoidable illusions as more research activities are delegated to large language models (LMM). LLMs can be useful but they cannot think, and their use can undermine our thinking and understanding. Thinking for ourselves is hard and error prone but worthwhile - and there are no shortcuts to understanding.

Large language model

A large language model (LLM) is a neural network trained on a vast amount of text for natural language processing tasks, especially language generation. LLMs can typically generate, summarize, translate, and analyze text in many contexts, and are a foundational technology behind modern chatbots.[1] Biased or inaccurate training data can make an LLM's output less reliable.[2]

Dan Shipper 📧 on Twitter / X

this is true and is a big reason why you don’t need to be a highly technical researcher to use LLMs in surprising and novel ways https://t.co/TuxNzXzToU— Dan Shipper 📧 (@danshipper) July 27, 2025

Artificial

An LLM is a computer program. We should talk about it like a computer program.

Artificial

An LLM is a computer program. We should talk about it like a computer program.

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...

I’m Tired of Talking About AI

I don’t want to talk about LLMs anymore.

A Rational Analysis of the Effects of Sycophantic AI

People increasingly use large language models (LLMs) to explore ideas, gather information, and make sense of the world. In these interactions, they encounter agents that are overly agreeable. We...

Well-intentioned obscenity

An LLM lied about me at the office and I'm cranky about it. That interaction makes me think a lot about how LLMs are becoming normalized, though, and what we're looking at in terms of their role in human-to-human interactions in the future.

Google DeepMind Paper Argues LLMs Will Never Be Conscious

Philosophers said the paper’s argument is sound, but that “all these arguments have been presented years and years ago.”

Brandon Stewart on Twitter / X

1/ New @Nature! We study how powerful institutions shape the information environment for LLMs. Commercial LLM training is opaque, so we trace a path from state-coordinated media -> training data -> model responses. pic.twitter.com/5LdFvzbFaf— Brandon Stewart (@b_m_stewart) May 13, 2026