AXRP - the AI X-risk Research Podcast
A podcast by Daniel Filan
59 Episoade
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46 - Tom Davidson on AI-enabled Coups
Publicat: 07.08.2025 -
45 - Samuel Albanie on DeepMind's AGI Safety Approach
Publicat: 06.07.2025 -
44 - Peter Salib on AI Rights for Human Safety
Publicat: 28.06.2025 -
43 - David Lindner on Myopic Optimization with Non-myopic Approval
Publicat: 15.06.2025 -
42 - Owain Evans on LLM Psychology
Publicat: 06.06.2025 -
41 - Lee Sharkey on Attribution-based Parameter Decomposition
Publicat: 03.06.2025 -
40 - Jason Gross on Compact Proofs and Interpretability
Publicat: 28.03.2025 -
38.8 - David Duvenaud on Sabotage Evaluations and the Post-AGI Future
Publicat: 01.03.2025 -
38.7 - Anthony Aguirre on the Future of Life Institute
Publicat: 09.02.2025 -
38.6 - Joel Lehman on Positive Visions of AI
Publicat: 24.01.2025 -
38.5 - Adrià Garriga-Alonso on Detecting AI Scheming
Publicat: 20.01.2025 -
38.4 - Shakeel Hashim on AI Journalism
Publicat: 05.01.2025 -
38.3 - Erik Jenner on Learned Look-Ahead
Publicat: 12.12.2024 -
39 - Evan Hubinger on Model Organisms of Misalignment
Publicat: 01.12.2024 -
38.2 - Jesse Hoogland on Singular Learning Theory
Publicat: 27.11.2024 -
38.1 - Alan Chan on Agent Infrastructure
Publicat: 16.11.2024 -
38.0 - Zhijing Jin on LLMs, Causality, and Multi-Agent Systems
Publicat: 14.11.2024 -
37 - Jaime Sevilla on AI Forecasting
Publicat: 04.10.2024 -
36 - Adam Shai and Paul Riechers on Computational Mechanics
Publicat: 29.09.2024 -
New Patreon tiers + MATS applications
Publicat: 28.09.2024
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.
