Generative artificial intelligence: The Times and Sunday Times editorial guidelines
As we explore the potential of generative artificial intelligence our commitment is to uphold our high editorial standards.
On Generative AI and Satisficing
Some thoughts on what these new tools are good for.

Library: Faculty Guide to Generative AI: Welcome
Library: Faculty Guide to Generative AI: Welcome

Generative AI in a Nutshell - how to survive and thrive in the age of AI
Library: Faculty Guide to Generative AI: Detecting AI

The Edge of Mathematics
Terence Tao, the legendary mathematician, explains the promise of generative AI.
The Myth of the Instant Cake Mix
How to think about creative tooling in the new world of generative AI

In spite of hype, many companies are moving cautiously when it comes to generative AI | TechCrunch
Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.

Where does the rigor go? Research software and the future of trustworthy science.
Generative AI now makes it dramatically easier to produce something that looks like research: analysis code, figures, literature reviews, even whole pap…

Ars Technica's policy on generative AI
How Ars Technica uses, and doesn't use, generative AI.

I Love Generative AI and Hate the Companies Building It
Update 6/29/26: The Last Update

AI is turning research into a scientific monoculture
Generative AI deserves scientific attention. But the rush to study it is producing a feedback loop of topical and methodological convergence, flattening scientific imagination and crowding out the pluralism needed to keep research adaptive, resilient, and intellectually generative.

The Dark Forest and Generative AI
Proving you're a human on a web flooded with generative AI content

The abstraction you didn't ask for
When I say 'generative AI isn't going away,' people hear 'and you have to like it.' You don't, and you might be right not to. But the is-ought divide here is real and we should all be preparing for both outcomes.

Running local models on an M4 with 24GB memory | jola.dev
Why and How to Run Local Models in Zed

Running local models is good now

Humans are Missing from AI Coding Agent Research

Experimental Evidence on the Learning Impact of Generative AI
Arvind Narayanan on Twitter / X
Arvind Narayanan on Twitter / X

Large language models are not the problem

AI Is Not Conscious, But It Is Our Unconscious