AXRP - the AI X-risk Research Podcast
Un pódcast de Daniel Filan
59 Episodo
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18 - Concept Extrapolation with Stuart Armstrong
Publicado: 3/9/2022 -
17 - Training for Very High Reliability with Daniel Ziegler
Publicado: 21/8/2022 -
16 - Preparing for Debate AI with Geoffrey Irving
Publicado: 1/7/2022 -
15 - Natural Abstractions with John Wentworth
Publicado: 23/5/2022 -
14 - Infra-Bayesian Physicalism with Vanessa Kosoy
Publicado: 5/4/2022 -
13 - First Principles of AGI Safety with Richard Ngo
Publicado: 31/3/2022 -
12 - AI Existential Risk with Paul Christiano
Publicado: 2/12/2021 -
11 - Attainable Utility and Power with Alex Turner
Publicado: 25/9/2021 -
10 - AI's Future and Impacts with Katja Grace
Publicado: 23/7/2021 -
9 - Finite Factored Sets with Scott Garrabrant
Publicado: 24/6/2021 -
8 - Assistance Games with Dylan Hadfield-Menell
Publicado: 8/6/2021 -
7.5 - Forecasting Transformative AI from Biological Anchors with Ajeya Cotra
Publicado: 28/5/2021 -
7 - Side Effects with Victoria Krakovna
Publicado: 14/5/2021 -
6 - Debate and Imitative Generalization with Beth Barnes
Publicado: 8/4/2021 -
5 - Infra-Bayesianism with Vanessa Kosoy
Publicado: 10/3/2021 -
4 - Risks from Learned Optimization with Evan Hubinger
Publicado: 17/2/2021 -
3 - Negotiable Reinforcement Learning with Andrew Critch
Publicado: 11/12/2020 -
2 - Learning Human Biases with Rohin Shah
Publicado: 11/12/2020 -
1 - Adversarial Policies with Adam Gleave
Publicado: 11/12/2020
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.
