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.
WebsiteMost frequent guests
- Beth Barnes 2 episodes
- Evan Hubinger 2 episodes
- Caspar Oesterheld 2 episodes
- Vanessa Kosoy 2 episodes
Every guest on AXRP - the AI X-risk Research Podcast
57 guests, ranked by how many people never want them back.
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Ajeya Cotra
7.5 - Forecasting Transformative AI from Biological Anchors with Ajeya Cotra · May 2021
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Paul Christiano
12 - AI Existential Risk with Paul Christiano · Dec 2021
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Scott Aaronson
20 - 'Reform' AI Alignment with Scott Aaronson · Apr 2023
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Anthony Aguirre
38.7 - Anthony Aguirre on the Future of Life Institute · Feb 2025
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Adam Gleave
1 - Adversarial Policies with Adam Gleave · Dec 2020
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Buck Shlegeris
27 - AI Control with Buck Shlegeris and Ryan Greenblatt · Apr 2024
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Daniel Murfet
31 - Singular Learning Theory with Daniel Murfet · May 2024
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Gabriel Weil
28 - Suing Labs for AI Risk with Gabriel Weil · Apr 2024
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Geoffrey Irving
16 - Preparing for Debate AI with Geoffrey Irving · Jul 2022
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Jeffrey Ladish
30 - AI Security with Jeffrey Ladish · Apr 2024
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Jesse Hoogland
38.2 - Jesse Hoogland on Singular Learning Theory · Nov 2024
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Katja Grace
10 - AI's Future and Impacts with Katja Grace · Jul 2021
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Lee Sharkey
41 - Lee Sharkey on Attribution-based Parameter Decomposition · Jun 2025
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Owain Evans
42 - Owain Evans on LLM Psychology · Jun 2025
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Tom Davidson
46 - Tom Davidson on AI-enabled Coups · Aug 2025
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Alan Chan
38.1 - Alan Chan on Agent Infrastructure · Nov 2024
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Beth Barnes
34 - AI Evaluations with Beth Barnes · 2 episodes
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David Rein
47 - David Rein on METR Time Horizons · Jan 2026
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Neel Nanda
19 - Mechanistic Interpretability with Neel Nanda · Feb 2023
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David Duvenaud
38.8 - David Duvenaud on Sabotage Evaluations and the Post-AGI Future · Mar 2025
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Elizabeth Seger
26 - AI Governance with Elizabeth Seger · Nov 2023
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Peter Hase
35 - Peter Hase on LLM Beliefs and Easy-to-Hard Generalization · Aug 2024
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Joel Lehman
38.6 - Joel Lehman on Positive Visions of AI · Jan 2025
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Daniel Ziegler
17 - Training for Very High Reliability with Daniel Ziegler · Aug 2022
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Jan Leike
24 - Superalignment with Jan Leike · Jul 2023
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Richard Ngo
13 - First Principles of AGI Safety with Richard Ngo · Mar 2022
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Rohin Shah
2 - Learning Human Biases with Rohin Shah · Dec 2020
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Andrew Critch
3 - Negotiable Reinforcement Learning with Andrew Critch · Dec 2020
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Dylan Hadfield-Menell
8 - Assistance Games with Dylan Hadfield-Menell · Jun 2021
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Evan Hubinger
39 - Evan Hubinger on Model Organisms of Misalignment · 2 episodes
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Stuart Armstrong
18 - Concept Extrapolation with Stuart Armstrong · Sep 2022
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Adam Shai
36 - Adam Shai and Paul Riechers on Computational Mechanics · Sep 2024
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Adrià Garriga-Alonso
38.5 - Adrià Garriga-Alonso on Detecting AI Scheming · Jan 2025
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Alex Turner
11 - Attainable Utility and Power with Alex Turner · Sep 2021
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Caspar Oesterheld
49 - Caspar Oesterheld on Program Equilibrium · 2 episodes
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David Lindner
43 - David Lindner on Myopic Optimization with Non-myopic Approval · Jun 2025
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Eli Lifland
50 - Eli Lifland on AI 2027 · Aug 2026
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Erik Jenner
38.3 - Erik Jenner on Learned Look-Ahead · Dec 2024
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Guive Assadi
48 - Guive Assadi on AI Property Rights · Feb 2026
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Recent episodes
63 episodes from the feed, newest first.
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