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
TL;DR
NOVAH (No Violence At Home) was incubated by Charity Entrepreneurship (now Ambitious Impact) in 2024 to test a promising idea: preventing intimate partner violence through edutainment, in our case a serialised radio drama. Over the past two years we have produced and aired two seasons in Rwanda.
We are currently evaluating our second season through a randomized controlled trial with 2,400 couples in Rwanda in partnership wi...
TL;DR
* The Long-Term Future Fund is closing down, and EA Funds is launching the Transformative AI Fund with a new full-time team.
* The fund's primary focus is technical AI safety and AI governance (including post-AGI governance), as well as supporting fields such as field-building and forecasting. We'll also consider non-GCR implications of transformative AI such as flourishing futures and digital...
The current Long Term Future Fund (LTFF) fund managers and I have decided to step back from our work on the LTFF. Because we believe LTFF donors trusted the fund managers to ensure that the funds would be used in line with the purposes of their donation, we've decided the right move is to close the fund.
While LTFF is closing, note that EA Funds has launched a new fund...
