Davidad Dalrymple: Towards Provably Safe AI

Davidad Dalrymple: Towards Provably Safe AI

Author: Daniel Bashir September 5, 2024 Duration: 1:20:50

Episode 137

I spoke with Davidad Dalrymple about:

* His perspectives on AI risk

* ARIA (the UK’s Advanced Research and Invention Agency) and its Safeguarded AI Programme

Enjoy—and let me know what you think!

Davidad is a Programme Director at ARIA. He was most recently a Research Fellow in technical AI safety at Oxford. He co-invented the top-40 cryptocurrency Filecoin, led an international neuroscience collaboration, and was a senior software engineer at Twitter and multiple startups.

Find me on Twitter for updates on new episodes, and reach me at editor@thegradient.pub for feedback, ideas, guest suggestions.

Subscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on Twitter

Outline:

* (00:00) Intro

* (00:36) Calibration and optimism about breakthroughs

* (03:35) Calibration and AGI timelines, effects of AGI on humanity

* (07:10) Davidad’s thoughts on the Orthogonality Thesis

* (10:30) Understanding how our current direction relates to AGI and breakthroughs

* (13:33) What Davidad thinks is needed for AGI

* (17:00) Extracting knowledge

* (19:01) Cyber-physical systems and modeling frameworks

* (20:00) Continuities between Davidad’s earlier work and ARIA

* (22:56) Path dependence in technology, race dynamics

* (26:40) More on Davidad’s perspective on what might go wrong with AGI

* (28:57) Vulnerable world, interconnectedness of computers and control

* (34:52) Formal verification and world modeling, Open Agency Architecture

* (35:25) The Semantic Sufficiency Hypothesis

* (39:31) Challenges for modeling

* (43:44) The Deontic Sufficiency Hypothesis and mathematical formalization

* (49:25) Oversimplification and quantitative knowledge

* (53:42) Collective deliberation in expressing values for AI

* (55:56) ARIA’s Safeguarded AI Programme

* (59:40) Anthropic’s ASL levels

* (1:03:12) Guaranteed Safe AI —

* (1:03:38) AI risk and (in)accurate world models

* (1:09:59) Levels of safety specifications for world models and verifiers — steps to achieve high safety

* (1:12:00) Davidad’s portfolio research approach and funding at ARIA

* (1:15:46) Earlier concerns about ARIA — Davidad’s perspective

* (1:19:26) Where to find more information on ARIA and the Safeguarded AI Programme

* (1:20:44) Outro

Links:

* Davidad’s Twitter

* ARIA homepage

* Safeguarded AI Programme

* Papers

* Guaranteed Safe AI

* Davidad’s Open Agency Architecture for Safe Transformative AI

* Dioptics: a Common Generalization of Open Games and Gradient-Based Learners (2019)

* Asynchronous Logic Automata (2008)



Get full access to The Gradient at thegradientpub.substack.com/subscribe

Hosted by Daniel Bashir, The Gradient: Perspectives on AI moves beyond surface-level headlines to explore the intricate machinery and human ideas shaping artificial intelligence. Each episode is built on a foundation of deep research, leading to conversations that are both technically substantive and broadly accessible. You'll hear from researchers, engineers, and philosophers who are actively building and critiquing our technological future, discussing not just how AI systems work, but the larger implications of their integration into society. This isn't about speculative hype; it's a grounded examination of real progress, persistent challenges, and ethical considerations from those on the front lines. The discussions peel back layers on topics like model architecture, policy, and the fundamental science behind the algorithms becoming part of our daily lives. For anyone curious about the substance behind the buzz-whether you have a technical background or are simply keen to understand a defining technology of our age-this podcast offers a crucial and thoughtful resource. Tune in for a consistently detailed and nuanced take that treats artificial intelligence with the complexity it deserves.
Author: Language: English Episodes: 100

The Gradient: Perspectives on AI
Podcast Episodes
Terry Winograd: AI, HCI, Language, and Cognition [not-audio_url] [/not-audio_url]

Duration: 1:33:21
In episode 87 of The Gradient Podcast, Daniel Bashir speaks to Professor Terry Winograd. Professor Winograd is Professor Emeritus of Computer Science at Stanford University. His research focuses on human-computer interac…
Gil Strang: Linear Algebra and Deep Learning [not-audio_url] [/not-audio_url]

Duration: 1:00:36
In episode 86 of The Gradient Podcast, Daniel Bashir speaks to Professor Gil Strang. Professor Strang is one of the world’s foremost mathematics educators and a mathematician with contributions to finite element theory,…
Anant Agarwal: AI for Education [not-audio_url] [/not-audio_url]

Duration: 47:40
In episode 85 of The Gradient Podcast, Andrey Kurenkov speaks to Anant AgarwalAnant Agarwal is the chief platform officer of 2U, and founder of edX. Anant taught the first edX course on circuits and electronics from MIT,…
Peli Grietzer: A Mathematized Philosophy of Literature [not-audio_url] [/not-audio_url]

Duration: 2:33:33
In episode 83 of The Gradient Podcast, Daniel Bashir speaks to Peli Grietzer. Peli is a scholar whose work borrows mathematical ideas from machine learning theory to think through “ambient” and ineffable phenomena like m…
Ryan Drapeau: Battling Fraud with ML at Stripe [not-audio_url] [/not-audio_url]

Duration: 1:06:31
In episode 82 of The Gradient Podcast, Daniel Bashir speaks to Ryan Drapeau.Ryan is a Staff Software Engineer at Stripe and technical lead for Stripe’s Payment Fraud organization, which uses machine learning to help prev…
Shiv Rao: Enabling Better Patient Care with AI [not-audio_url] [/not-audio_url]

Duration: 1:00:51
In episode 81 of The Gradient Podcast, Daniel Bashir speaks to Shiv Rao.Shiv Rao, MD is the co-founder and CEO of Abridge, a healthcare conversation company that uses cutting-edge NLP and generative AI to bring context a…
Hugo Larochelle: Deep Learning as Science [not-audio_url] [/not-audio_url]

Duration: 1:48:28
In episode 80 of The Gradient Podcast, Daniel Bashir speaks to Professor Hugo Larochelle. Professor Larochelle leads the Montreal Google DeepMind team and is adjunct professor at Université de Montréal and a Canada CIFAR…
Jeremie Harris: Realistic Alignment and AI Policy [not-audio_url] [/not-audio_url]

Duration: 1:30:35
In episode 79 of The Gradient Podcast, Daniel Bashir speaks to Jeremie Harris.Jeremie is co-founder of Gladstone AI, author of the book Quantum Physics Made Me Do It, and co-host of the Last Week in AI Podcast. Jeremy pr…
Antoine Blondeau: Alpha Intelligence Capital and Investing in AI [not-audio_url] [/not-audio_url]

Duration: 59:34
In episode 78 of The Gradient Podcast, Daniel Bashir speaks to Antoine Blondeau.Antoine is a serial AI entrepreneur and Co-Founder and Managing Partner of Alpha Intelligence Capital. He was chief executive at Dejima when…