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AXRP - the AI X-risk Research Podcast
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AXRP - the AI X-risk Research Podcast

Transcripts of AXRP episodes.

12AXRP Episode 1 - Adversarial Policies with Adam Gleave

4y

5

13AXRP Episode 2 - Learning Human Biases with Rohin Shah

4y

0

27AXRP Episode 3 - Negotiable Reinforcement Learning with Andrew Critch

4y

0

43AXRP Episode 4 - Risks from Learned Optimization with Evan Hubinger

4y

10

35AXRP Episode 5 - Infra-Bayesianism with Vanessa Kosoy

4y

12

26AXRP Episode 6 - Debate and Imitative Generalization with Beth Barnes

4y

3

34AXRP Episode 7 - Side Effects with Victoria Krakovna

4y

6

22AXRP Episode 8 - Assistance Games with Dylan Hadfield-Menell

4y

1

59AXRP Episode 9 - Finite Factored Sets with Scott Garrabrant

3y

2

34AXRP Episode 10 - AI’s Future and Impacts with Katja Grace

3y

2

19AXRP Episode 11 - Attainable Utility and Power with Alex Turner

3y

5

38AXRP Episode 12 - AI Existential Risk with Paul Christiano

3y

0

24AXRP Episode 13 - First Principles of AGI Safety with Richard Ngo

3y

1

25AXRP Episode 14 - Infra-Bayesian Physicalism with Vanessa Kosoy

3y

10

34AXRP Episode 15 - Natural Abstractions with John Wentworth

3y

1

20AXRP Episode 16 - Preparing for Debate AI with Geoffrey Irving

2y

0

16AXRP Episode 17 - Training for Very High Reliability with Daniel Ziegler

2y

0

12AXRP Episode 18 - Concept Extrapolation with Stuart Armstrong

2y

1

45AXRP Episode 19 - Mechanistic Interpretability with Neel Nanda

2y

0

22AXRP Episode 20 - ‘Reform’ AI Alignment with Scott Aaronson

2y

2

12AXRP Episode 21 - Interpretability for Engineers with Stephen Casper

2y

1

52AXRP Episode 22 - Shard Theory with Quintin Pope

2y

11

22AXRP Episode 23 - Mechanistic Anomaly Detection with Mark Xu

1y

0

55AXRP Episode 24 - Superalignment with Jan Leike

1y

3

43AXRP Episode 25 - Cooperative AI with Caspar Oesterheld

1y

0

14AXRP Episode 26 - AI Governance with Elizabeth Seger

1y

0

69AXRP Episode 27 - AI Control with Buck Shlegeris and Ryan Greenblatt

8mo

10

12AXRP Episode 28 - Suing Labs for AI Risk with Gabriel Weil

8mo

0

20AXRP Episode 29 - Science of Deep Learning with Vikrant Varma

8mo

1

25AXRP Episode 30 - AI Security with Jeffrey Ladish

8mo

0

72AXRP Episode 31 - Singular Learning Theory with Daniel Murfet

8mo

4

20AXRP Episode 32 - Understanding Agency with Jan Kulveit

7mo

0

34AXRP Episode 33 - RLHF Problems with Scott Emmons

6mo

0

23AXRP Episode 34 - AI Evaluations with Beth Barnes

5mo

0

21AXRP Episode 35 - Peter Hase on LLM Beliefs and Easy-to-Hard Generalization

4mo

0

25AXRP Episode 36 - Adam Shai and Paul Riechers on Computational Mechanics

3mo

0

21AXRP Episode 37 - Jaime Sevilla on Forecasting AI

3mo

3

14AXRP Episode 38.0 - Zhijing Jin on LLMs, Causality, and Multi-Agent Systems

1mo

0

12AXRP Episode 38.1 - Alan Chan on Agent Infrastructure

1mo

0

34AXRP Episode 38.2 - Jesse Hoogland on Singular Learning Theory

1mo

0

41AXRP Episode 39 - Evan Hubinger on Model Organisms of Misalignment

24d

0

20AXRP Episode 38.3 - Erik Jenner on Learned Look-Ahead

13d

0