80,000 Hours Podcast

OpenAI Security: Controlling Models is Now ‘Hell’ (AI Explained cross-post)

In 2023 Ajeya Cotra already knew what was coming (classic episode)

19 Astra and 'Hugging Face' details that reveal what's coming next | Rob Wiblin

The case for giving AI (some) legal rights | Simon Goldstein

Will AI take power — or will humans use it to take power first? With Katja Grace and Tom Davidson

How we get from AI cyberattacks to human extinction

Max Nadeau on why ambitious people should start AI safety nonprofits

Why the intelligence explosion can't happen inside a data centre | Tom Reed

Inside the first AI-coordinated cyberattack on a real company

AI 2027's author returns with a plan to change the ending | Daniel Kokotajlo

Owain Evans on accidentally training AI models to be evil

The UK's former head AI safety scientist on how to solve alignment before superintelligence arrives | Geoffrey Irving

Where AGI timelines go wrong | Toby Ord, Oxford University

What the hell happened with AGI timelines in 2026? – Rob Wiblin

Spencer Greenberg on staying sane while trying to save the world

Jasmine Sun on what the people building AI really believe

The frontier AI industry operates under a pervasive sense of techno-determinism, where researchers often believe that mass job displacement is inevitable and that securing personal equity in AI labs is the only way to avoid a permanent underclass. Jasmine Sun, an AI ethnographer, observes that these idiosyncratic belie...

How middle powers avoid losing everything in a post-AI world | Anton Leicht

How a small team of activists helped pass America's landmark AI safety laws | Sneha Revanur, Encode AI

We can guess what intergalactic war would look like. And strangely, it matters.

How AI could create the world’s biggest problems (article by Zershaaneh Qureshi)