AXRP - the AI X-risk Research Podcast
By Daniel Filan
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Subscribers: 21
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Episodes: 62
Description
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.
| Episode | Date |
|---|---|
|
49 - Caspar Oesterheld on Program Equilibrium
|
Feb 18, 2026 |
|
48 - Guive Assadi on AI Property Rights
|
Feb 15, 2026 |
|
47 - David Rein on METR Time Horizons
|
Jan 02, 2026 |
|
46 - Tom Davidson on AI-enabled Coups
|
Aug 07, 2025 |
|
45 - Samuel Albanie on DeepMind's AGI Safety Approach
|
Jul 06, 2025 |
|
44 - Peter Salib on AI Rights for Human Safety
|
Jun 28, 2025 |
|
43 - David Lindner on Myopic Optimization with Non-myopic Approval
|
Jun 15, 2025 |
|
42 - Owain Evans on LLM Psychology
|
Jun 06, 2025 |
|
41 - Lee Sharkey on Attribution-based Parameter Decomposition
|
Jun 03, 2025 |
|
40 - Jason Gross on Compact Proofs and Interpretability
|
Mar 28, 2025 |
|
38.8 - David Duvenaud on Sabotage Evaluations and the Post-AGI Future
|
Mar 01, 2025 |
|
38.7 - Anthony Aguirre on the Future of Life Institute
|
Feb 09, 2025 |
|
38.6 - Joel Lehman on Positive Visions of AI
|
Jan 24, 2025 |
|
38.5 - Adrià Garriga-Alonso on Detecting AI Scheming
|
Jan 20, 2025 |
|
38.4 - Shakeel Hashim on AI Journalism
|
Jan 05, 2025 |
|
38.3 - Erik Jenner on Learned Look-Ahead
|
Dec 12, 2024 |
|
39 - Evan Hubinger on Model Organisms of Misalignment
|
Dec 01, 2024 |
|
38.2 - Jesse Hoogland on Singular Learning Theory
|
Nov 27, 2024 |
|
38.1 - Alan Chan on Agent Infrastructure
|
Nov 16, 2024 |
|
38.0 - Zhijing Jin on LLMs, Causality, and Multi-Agent Systems
|
Nov 14, 2024 |
|
37 - Jaime Sevilla on AI Forecasting
|
Oct 04, 2024 |
|
36 - Adam Shai and Paul Riechers on Computational Mechanics
|
Sep 29, 2024 |
|
New Patreon tiers + MATS applications
|
Sep 28, 2024 |
|
35 - Peter Hase on LLM Beliefs and Easy-to-Hard Generalization
|
Aug 24, 2024 |
|
34 - AI Evaluations with Beth Barnes
|
Jul 28, 2024 |
|
33 - RLHF Problems with Scott Emmons
|
Jun 12, 2024 |
|
32 - Understanding Agency with Jan Kulveit
|
May 30, 2024 |
|
31 - Singular Learning Theory with Daniel Murfet
|
May 07, 2024 |
|
30 - AI Security with Jeffrey Ladish
|
Apr 30, 2024 |
|
29 - Science of Deep Learning with Vikrant Varma
|
Apr 25, 2024 |
|
28 - Suing Labs for AI Risk with Gabriel Weil
|
Apr 17, 2024 |
|
27 - AI Control with Buck Shlegeris and Ryan Greenblatt
|
Apr 11, 2024 |
|
26 - AI Governance with Elizabeth Seger
|
Nov 26, 2023 |
|
25 - Cooperative AI with Caspar Oesterheld
|
Oct 03, 2023 |
|
24 - Superalignment with Jan Leike
|
Jul 27, 2023 |
|
23 - Mechanistic Anomaly Detection with Mark Xu
|
Jul 27, 2023 |
|
Survey, store closing, Patreon
|
Jun 28, 2023 |
|
22 - Shard Theory with Quintin Pope
|
Jun 15, 2023 |
|
21 - Interpretability for Engineers with Stephen Casper
|
May 02, 2023 |
|
20 - 'Reform' AI Alignment with Scott Aaronson
|
Apr 12, 2023 |
|
Store, Patreon, Video
|
Feb 07, 2023 |
|
19 - Mechanistic Interpretability with Neel Nanda
|
Feb 04, 2023 |
|
New podcast - The Filan Cabinet
|
Oct 13, 2022 |
|
18 - Concept Extrapolation with Stuart Armstrong
|
Sep 03, 2022 |
|
17 - Training for Very High Reliability with Daniel Ziegler
|
Aug 21, 2022 |
|
16 - Preparing for Debate AI with Geoffrey Irving
|
Jul 01, 2022 |
|
15 - Natural Abstractions with John Wentworth
|
May 23, 2022 |
|
14 - Infra-Bayesian Physicalism with Vanessa Kosoy
|
Apr 05, 2022 |
|
13 - First Principles of AGI Safety with Richard Ngo
|
Mar 31, 2022 |
|
12 - AI Existential Risk with Paul Christiano
|
Dec 02, 2021 |
|
11 - Attainable Utility and Power with Alex Turner
|
Sep 25, 2021 |
|
10 - AI's Future and Impacts with Katja Grace
|
Jul 23, 2021 |
|
9 - Finite Factored Sets with Scott Garrabrant
|
Jun 24, 2021 |
|
8 - Assistance Games with Dylan Hadfield-Menell
|
Jun 08, 2021 |
|
7.5 - Forecasting Transformative AI from Biological Anchors with Ajeya Cotra
|
May 28, 2021 |
|
7 - Side Effects with Victoria Krakovna
|
May 14, 2021 |
|
6 - Debate and Imitative Generalization with Beth Barnes
|
Apr 08, 2021 |
|
5 - Infra-Bayesianism with Vanessa Kosoy
|
Mar 10, 2021 |
|
4 - Risks from Learned Optimization with Evan Hubinger
|
Feb 17, 2021 |
|
3 - Negotiable Reinforcement Learning with Andrew Critch
|
Dec 11, 2020 |
|
2 - Learning Human Biases with Rohin Shah
|
Dec 11, 2020 |
|
1 - Adversarial Policies with Adam Gleave
|
Dec 11, 2020 |