Cameron Berg talks about new results on AI's potential ability to have positive and negative experiences. Some parts get into the technical weeds, but it's a really thought provoking episode.

Two giants talk about extremely important AI questions, in a way that is clear, respectful and also pretty fun. To a large extent, this is tech views and government views in the same place.

AI Horizons is a community for discussing broad strategic questions about AI and the world. Over the next five to ten years, how will artificial intelligence impact democracy, science, education, warf...

YouTube video by Chris Williamson

A startup just etched an AI model directly into silicon. Here's what that means – for business, for safety, and for the devices around us.

YouTube video by Cognitive Revolution "How AI Changes Everything"

Zack Kass, author of The Next Renaissance, talks about AI from both a human and a historical perspective.

When AI concludes it's in a simulation, it stops playing nice. But it doesn't always get it right, and we have no method for proving it wrong.

This episode (from March 11th) gives an updated summary and analysis of the "supply chain risk" thing. Great insights, and some information on what Anthropic actually does for the DoW as well.

This blog post complements my book "AI for beginners", describing some ways the AI landscape has changed since the book was published. Still on top of the list: Understanding the pace of progress.

Alan Rozenshtein, associate professor of law at the University of Minnesota and research director at Lawfare, and Kevin Frazier, AI Innovation and Law Fellow at the University of Texas School of Law…

After a slow start, this conversation offers great explanations of the state of AI and of AI risks, as well as some good laughs. Skip the 34 first minutes if you're eager.

They just model a different world than you think.

The Department of War is threatening really harsh measures if Anthropic doesn't agree to the DoW using their AI models for anything legal. Anthropic want to keep two use cases restricted.

The debate over deepfakes is misguided. We need ways of knowing the source of content, not what tools were used to create it.

In this second post about how AI affects knowledge and education, I argue that scenarios are necessary for forecasting AI impacts. I also suggest a method for selecting scenarios, and implement it.

We propose measuring AI performance in terms of the *length* of tasks AI agents can complete. We show that this metric has been consistently exponentially increasing over the past 6 years, with a doub...

Peter Sparber, a former architect of Big Tobacco’s successful war against regulation, says that the big AI companies are using the same playbook as Big Tobacco did. And that it works.

Next time someone claims the EU AI Act kills innovation, ask them what it actually says. Most haven't read it. Here's what it really contains. I argue that it is a base for innovating responsible AI.

YouTube video by Anders Bjarby

One of the "god fathers" of AI talks about how he views AI risks – both he sees as important and urgent, and what risks he doesn't think are as urgent.

Using AI and cryptography to make cooperation rational—even when trust is impossible.

YouTube video by Johan Falk

YouTube video by Anthropic

YouTube video by Johan Falk

Amanda Askell, who in my book is the guru of AI whispering (at Anthropic), answers questions from the public. You just got to love how the scene and even frame ratio breathes of late 1980's.

This post isn’t about whether the bubble will burst. It’s about what happens to AI development if it does.

This post isn’t about whether the bubble will burst. It’s about what happens to AI development if it does.

California recently introduced a new law, SB 53, which is a smaller version of the much-debated SB 1047. This episode gives a great overview of what it means.

There's a lot of talk about whether we're in an AI bubble or not. This is the best rundown I've found, using a framework with five warning signs. By Azeem Azhar.

Today Johan Falk, author, speaker, and AI analyst from Stockholm, Sweden, joins The Cognitive Revolution to discuss his work reimagining education for the AI era, exploring why teaching students to us...

AI and education is my home turf. This episode is outstanding, when it comes to a politician showing insight, humility, decisiveness, perspectives and general wisdom.

This link will take you to a page that’s not on LinkedIn

This post explains why I left my job to work full-time with AI. It is a translation of a post in Swedish from June 2024, still relevant in September 2025.

Great introduction to what Claude Code is, and why tools like it matters to software development.

I've listened to a lot of thoughts about AI and education, and this episode might be the best I've heard so far. Multiple perspectives, and (almost) all of them cover the deep impacts.

Superintelligent AI is often likened to a genie that grants any wish. As AI becomes more capable, we will get better at telling which problems melt away under intelligence, and which barely budge.

There have been some cases where character.ai companions have allegedly pushed people to suicide. This is the first case where I've heard ChatGPT clearly leading someone in that direction.

One way to navigate a future with superhuman AI is to become indispensable. One lesson to learn from is around 1.5 billion years old.

Mechanistic interpretability is the art/science of understanding what's going on inside AI models. This video gives a good introduction to interpretability also for non-technical people.

What do we mean by AGI? How close are we to it? What happens after? And what does it mean for society, and for you and me as individuals? This episode sheds some light on these questions.

YouTube video by AI In Context