AXRP - the AI X-risk Research Podcast
En podcast af Daniel Filan
59 Episoder
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46 - Tom Davidson on AI-enabled Coups
Udgivet: 7.8.2025 -
45 - Samuel Albanie on DeepMind's AGI Safety Approach
Udgivet: 6.7.2025 -
44 - Peter Salib on AI Rights for Human Safety
Udgivet: 28.6.2025 -
43 - David Lindner on Myopic Optimization with Non-myopic Approval
Udgivet: 15.6.2025 -
42 - Owain Evans on LLM Psychology
Udgivet: 6.6.2025 -
41 - Lee Sharkey on Attribution-based Parameter Decomposition
Udgivet: 3.6.2025 -
40 - Jason Gross on Compact Proofs and Interpretability
Udgivet: 28.3.2025 -
38.8 - David Duvenaud on Sabotage Evaluations and the Post-AGI Future
Udgivet: 1.3.2025 -
38.7 - Anthony Aguirre on the Future of Life Institute
Udgivet: 9.2.2025 -
38.6 - Joel Lehman on Positive Visions of AI
Udgivet: 24.1.2025 -
38.5 - Adrià Garriga-Alonso on Detecting AI Scheming
Udgivet: 20.1.2025 -
38.4 - Shakeel Hashim on AI Journalism
Udgivet: 5.1.2025 -
38.3 - Erik Jenner on Learned Look-Ahead
Udgivet: 12.12.2024 -
39 - Evan Hubinger on Model Organisms of Misalignment
Udgivet: 1.12.2024 -
38.2 - Jesse Hoogland on Singular Learning Theory
Udgivet: 27.11.2024 -
38.1 - Alan Chan on Agent Infrastructure
Udgivet: 16.11.2024 -
38.0 - Zhijing Jin on LLMs, Causality, and Multi-Agent Systems
Udgivet: 14.11.2024 -
37 - Jaime Sevilla on AI Forecasting
Udgivet: 4.10.2024 -
36 - Adam Shai and Paul Riechers on Computational Mechanics
Udgivet: 29.9.2024 -
New Patreon tiers + MATS applications
Udgivet: 28.9.2024
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.
