AXRP - the AI X-risk Research Podcast
Podcast autorstwa Daniel Filan
59 Odcinki
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18 - Concept Extrapolation with Stuart Armstrong
Opublikowany: 3.09.2022 -
17 - Training for Very High Reliability with Daniel Ziegler
Opublikowany: 21.08.2022 -
16 - Preparing for Debate AI with Geoffrey Irving
Opublikowany: 1.07.2022 -
15 - Natural Abstractions with John Wentworth
Opublikowany: 23.05.2022 -
14 - Infra-Bayesian Physicalism with Vanessa Kosoy
Opublikowany: 5.04.2022 -
13 - First Principles of AGI Safety with Richard Ngo
Opublikowany: 31.03.2022 -
12 - AI Existential Risk with Paul Christiano
Opublikowany: 2.12.2021 -
11 - Attainable Utility and Power with Alex Turner
Opublikowany: 25.09.2021 -
10 - AI's Future and Impacts with Katja Grace
Opublikowany: 23.07.2021 -
9 - Finite Factored Sets with Scott Garrabrant
Opublikowany: 24.06.2021 -
8 - Assistance Games with Dylan Hadfield-Menell
Opublikowany: 8.06.2021 -
7.5 - Forecasting Transformative AI from Biological Anchors with Ajeya Cotra
Opublikowany: 28.05.2021 -
7 - Side Effects with Victoria Krakovna
Opublikowany: 14.05.2021 -
6 - Debate and Imitative Generalization with Beth Barnes
Opublikowany: 8.04.2021 -
5 - Infra-Bayesianism with Vanessa Kosoy
Opublikowany: 10.03.2021 -
4 - Risks from Learned Optimization with Evan Hubinger
Opublikowany: 17.02.2021 -
3 - Negotiable Reinforcement Learning with Andrew Critch
Opublikowany: 11.12.2020 -
2 - Learning Human Biases with Rohin Shah
Opublikowany: 11.12.2020 -
1 - Adversarial Policies with Adam Gleave
Opublikowany: 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.
