This website hosts transcripts of episodes of AXRP, pronounced axe-urp, short for the AI X-risk Research Podcast. On this podcast, I (Daniel Filan) have conversations with researchers about their research. We discuss their work and hopefully get a sense of why it’s been written and how it might reduce the risk of artificial intelligence causing an existential catastrophe: that is, permanently and drastically curtailing humanity’s future potential. This podcast launched in December 2020. As of March 2022, it is edited by Jack Garrett, who also wrote the opening and closing theme, and as of August 2022, Amber Dawn Ace helps with transcription.
You can subscribe to AXRP by searching for it in your favourite podcast provider. To receive transcripts, you can subscribe to this website’s RSS feed. You can also follow AXRP on twitter at @AXRPodcast. If you’d like to support the podcast, see this page for how to do so.
You can buy AXRP merch at the AXRP store, such as t-shirts, hoodies, and laptop stickers. You can also become a patron or donate on ko-fi.
If you like AXRP, you might like its sister podcast, The Filan Cabinet, where I interview people about a wide range of topics I’m interested in.
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19 - Mechanistic Interpretability with Neel Nanda
New podcast - The Filan Cabinet
18 - Concept Extrapolation with Stuart Armstrong
17 - Training for Very High Reliability with Daniel Ziegler
16 - Preparing for Debate AI with Geoffrey Irving
15 - Natural Abstractions with John Wentworth
14 - Infra-Bayesian Physicalism with Vanessa Kosoy
13 - First Principles of AGI Safety with Richard Ngo
12 - AI Existential Risk with Paul Christiano
11 - Attainable Utility and Power with Alex Turner
10 - AI's Future and Impacts with Katja Grace
9 - Finite Factored Sets with Scott Garrabrant
8 - Assistance Games with Dylan Hadfield-Menell
7.5 - Forecasting Transformative AI from Biological Anchors with Ajeya Cotra
7 - Side Effects with Victoria Krakovna
6 - Debate and Imitative Generalization with Beth Barnes
5 - Infra-Bayesianism with Vanessa Kosoy
4 - Risks from Learned Optimization with Evan Hubinger
3 - Negotiable Reinforcement Learning with Andrew Critch
2 - Learning Human Biases with Rohin Shah
1 - Adversarial Policies with Adam Gleave
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