Buck Shlegeris on convincing AI models they’ve already escaped (#214)
Paul Scharre on a personal experience in Afghanistan that influenced his views on autonomous weapons (#231)
Ian Dunt on how unelected septuagenarians are the heroes of UK governance (#216)
Beth Barnes on AI companies being locally reasonable, but globally reckless (#217)
Tyler Whitmer on one thing the California and Delaware attorneys general forced on the OpenAI for-profit as part of their restructure (November update)
Toby Ord on whether rich people will get access to AGI first (#219)
Andrew Snyder-Beattie on how the worst biorisks are defence dominant (#224)
Eileen Yam on the most eye-watering gaps in opinions about AI between experts and the US public (#228)
Will MacAskill on what a century of history crammed into a decade might feel like (#213)
Kyle Fish on what happens when two instances of Claude are left to interact with each other (#221)
Sam Bowman on where the Not In My Back Yard movement actually has a point (#211)
Neel Nanda on how mechanistic interpretability is trying to be the biology of AI (#222)
Tom Davidson on the potential to install secret AI loyalties at a very early stage (#215)
Luisa and Rob discussing how medicine doesn’t take the health burden of pregnancy seriously enough (November team chat)
Marius Hobbhahn on why scheming is a very natural path for AI models — and people (#229)
Holden Karnofsky on lessons for AI regulation drawn from successful farm animal welfare advocacy (#226)
Allan Dafoe on how AGI is an inescapable idea but one we have to define well (#212)
Ryan Greenblatt on the most likely ways for AI to take over (#220)
Updates Daniel Kokotajlo has made to his forecasts since writing and publishing the AI 2027 scenario (#225)
Dean Ball on why regulation invites path dependency, and that’s a major problem (#230)
It’s been another year of living through history, whether we asked for it or not. Luisa and Rob will be back in 2026 to help you make sense of whatever comes next — as Earth continues its indifferent journey through the cosmos, now accompanied by AI systems that can summarise our meetings and generate adequate birthday messages for colleagues we barely know.
Video and audio editing: Dominic Armstrong, Milo McGuire, Luke Monsour, and Simon Monsour Music: CORBIT Coordination, transcripts, and web: Katy Moore
Cross-posted from my Substack.
Epistemic status: I’ve puzzled over this for a long time but I’m not sure I came to the right answers. I'm sharing this partly because it might help others work on resource allocation, but mostly because some smarter reader might tell me how to do it better.
TL;DR:
* I he...
This post is part of the Cross-Cause Fund (CCF) series by Rethink Priorities — a sequence of articles dedicated to effective giving across philanthropic areas.
TL;DR:
There is a seemingly plausible argument that do...
TL;DR: We lack high-quality evidence on what reduces animal product consumption, and I see current academic incentives as part of the reason. Drawing on my experience as a PhD researcher, I describe six ways academic incentives misalign with what animal advocates need:
* 1) research questions follow the literature rather than practitioner decision relevance;
* 2) health- and climate-motivated research leads to disproportional attention to red meat and neglect o...
