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Episode | Date |
---|---|
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 |