AXRP - the AI X-risk Research Podcast
AXRP (pronounced axe-urp) is the AI X-risk Research Podcast where I, Daniel Filan, have conversations with researchers about their papers. We discuss the paper, and hopefully get a sense of why it's been written and how it might reduce the risk of AI causing an existential catastrophe: that is, permanently and drastically curtailing humanity's future potential. You can visit the website and read transcripts at axrp.net.
WebsiteEvery guest on AXRP - the AI X-risk Research Podcast
57 guests, ranked by how many people never want them back.
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Jaime Sevilla
37 - Jaime Sevilla on AI Forecasting · Oct 2024
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Jan Kulveit
32 - Understanding Agency with Jan Kulveit · May 2024
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Jason Gross
40 - Jason Gross on Compact Proofs and Interpretability · Mar 2025
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John Wentworth
15 - Natural Abstractions with John Wentworth · May 2022
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Mark Xu
23 - Mechanistic Anomaly Detection with Mark Xu · Jul 2023
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Peter Salib
44 - Peter Salib on AI Rights for Human Safety · Jun 2025
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Quintin Pope
22 - Shard Theory with Quintin Pope · Jun 2023
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Samuel Albanie
45 - Samuel Albanie on DeepMind's AGI Safety Approach · Jul 2025
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Scott Emmons
33 - RLHF Problems with Scott Emmons · Jun 2024
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Scott Garrabrant
9 - Finite Factored Sets with Scott Garrabrant · Jun 2021
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Shakeel Hashim
38.4 - Shakeel Hashim on AI Journalism · Jan 2025
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Stephen Casper
21 - Interpretability for Engineers with Stephen Casper · May 2023
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Vanessa Kosoy
14 - Infra-Bayesian Physicalism with Vanessa Kosoy · 2 episodes
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Victoria Krakovna
7 - Side Effects with Victoria Krakovna · May 2021
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Vikrant Varma
29 - Science of Deep Learning with Vikrant Varma · Apr 2024
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Zhijing Jin
38.0 - Zhijing Jin on LLMs, Causality, and Multi-Agent Systems · Nov 2024
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Recent episodes
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