DiscoverThe Gradient: Perspectives on AIDavidad Dalrymple: Towards Provably Safe AI
Davidad Dalrymple: Towards Provably Safe AI

Davidad Dalrymple: Towards Provably Safe AI

Update: 2024-09-05
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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.

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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)



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Davidad Dalrymple: Towards Provably Safe AI

Davidad Dalrymple: Towards Provably Safe AI

daniel bashir