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The Compendium - Connor Leahy and Gabriel Alfour

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Manage episode 474277605 series 2803422
Content provided by Machine Learning Street Talk (MLST). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Machine Learning Street Talk (MLST) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Connor Leahy and Gabriel Alfour, AI researchers from Conjecture and authors of "The Compendium," joinus for a critical discussion centered on Artificial Superintelligence (ASI) safety and governance. Drawing from their comprehensive analysis in "The Compendium," they articulate a stark warning about the existential risks inherent in uncontrolled AI development, framing it through the lens of "intelligence domination"—where a sufficiently advanced AI could subordinate humanity, much like humans dominate less intelligent species.

SPONSOR MESSAGES:

***

Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich.

Goto https://tufalabs.ai/

***

TRANSCRIPT + REFS + NOTES:

https://www.dropbox.com/scl/fi/p86l75y4o2ii40df5t7no/Compendium.pdf?rlkey=tukczgf3flw133sr9rgss0pnj&dl=0

https://www.thecompendium.ai/

https://en.wikipedia.org/wiki/Connor_Leahy

https://www.conjecture.dev/about

https://substack.com/@gabecc​

TOC:

1. AI Intelligence and Safety Fundamentals

[00:00:00] 1.1 Understanding Intelligence and AI Capabilities

[00:06:20] 1.2 Emergence of Intelligence and Regulatory Challenges

[00:10:18] 1.3 Human vs Animal Intelligence Debate

[00:18:00] 1.4 AI Regulation and Risk Assessment Approaches

[00:26:14] 1.5 Competing AI Development Ideologies

2. Economic and Social Impact

[00:29:10] 2.1 Labor Market Disruption and Post-Scarcity Scenarios

[00:32:40] 2.2 Institutional Frameworks and Tech Power Dynamics

[00:37:40] 2.3 Ethical Frameworks and AI Governance Debates

[00:40:52] 2.4 AI Alignment Evolution and Technical Challenges

3. Technical Governance Framework

[00:55:07] 3.1 Three Levels of AI Safety: Alignment, Corrigibility, and Boundedness

[00:55:30] 3.2 Challenges of AI System Corrigibility and Constitutional Models

[00:57:35] 3.3 Limitations of Current Boundedness Approaches

[00:59:11] 3.4 Abstract Governance Concepts and Policy Solutions

4. Democratic Implementation and Coordination

[00:59:20] 4.1 Governance Design and Measurement Challenges

[01:00:10] 4.2 Democratic Institutions and Experimental Governance

[01:14:10] 4.3 Political Engagement and AI Safety Advocacy

[01:25:30] 4.4 Practical AI Safety Measures and International Coordination

CORE REFS:

[00:01:45] The Compendium (2023), Leahy et al.

https://pdf.thecompendium.ai/the_compendium.pdf

[00:06:50] Geoffrey Hinton Leaves Google, BBC News

https://www.bbc.com/news/world-us-canada-65452940

[00:10:00] ARC-AGI, Chollet

https://arcprize.org/arc-agi

[00:13:25] A Brief History of Intelligence, Bennett

https://www.amazon.com/Brief-History-Intelligence-Humans-Breakthroughs/dp/0063286343

[00:25:35] Statement on AI Risk, Center for AI Safety

https://www.safe.ai/work/statement-on-ai-risk

[00:26:15] Machines of Love and Grace, Amodei

https://darioamodei.com/machines-of-loving-grace

[00:26:35] The Techno-Optimist Manifesto, Andreessen

https://a16z.com/the-techno-optimist-manifesto/

[00:31:55] Techno-Feudalism, Varoufakis

https://www.amazon.co.uk/Technofeudalism-Killed-Capitalism-Yanis-Varoufakis/dp/1847927270

[00:42:40] Introducing Superalignment, OpenAI

https://openai.com/index/introducing-superalignment/

[00:47:20] Three Laws of Robotics, Asimov

https://www.britannica.com/topic/Three-Laws-of-Robotics

[00:50:00] Symbolic AI (GOFAI), Haugeland

https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence

[00:52:30] Intent Alignment, Christiano

https://www.alignmentforum.org/posts/HEZgGBZTpT4Bov7nH/mapping-the-conceptual-territory-in-ai-existential-safety

[00:55:10] Large Language Model Alignment: A Survey, Jiang et al.

http://arxiv.org/pdf/2309.15025

[00:55:40] Constitutional Checks and Balances, Bok

https://plato.stanford.edu/entries/montesquieu/

  continue reading

217 episodes

Artwork
iconShare
 
Manage episode 474277605 series 2803422
Content provided by Machine Learning Street Talk (MLST). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Machine Learning Street Talk (MLST) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Connor Leahy and Gabriel Alfour, AI researchers from Conjecture and authors of "The Compendium," joinus for a critical discussion centered on Artificial Superintelligence (ASI) safety and governance. Drawing from their comprehensive analysis in "The Compendium," they articulate a stark warning about the existential risks inherent in uncontrolled AI development, framing it through the lens of "intelligence domination"—where a sufficiently advanced AI could subordinate humanity, much like humans dominate less intelligent species.

SPONSOR MESSAGES:

***

Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich.

Goto https://tufalabs.ai/

***

TRANSCRIPT + REFS + NOTES:

https://www.dropbox.com/scl/fi/p86l75y4o2ii40df5t7no/Compendium.pdf?rlkey=tukczgf3flw133sr9rgss0pnj&dl=0

https://www.thecompendium.ai/

https://en.wikipedia.org/wiki/Connor_Leahy

https://www.conjecture.dev/about

https://substack.com/@gabecc​

TOC:

1. AI Intelligence and Safety Fundamentals

[00:00:00] 1.1 Understanding Intelligence and AI Capabilities

[00:06:20] 1.2 Emergence of Intelligence and Regulatory Challenges

[00:10:18] 1.3 Human vs Animal Intelligence Debate

[00:18:00] 1.4 AI Regulation and Risk Assessment Approaches

[00:26:14] 1.5 Competing AI Development Ideologies

2. Economic and Social Impact

[00:29:10] 2.1 Labor Market Disruption and Post-Scarcity Scenarios

[00:32:40] 2.2 Institutional Frameworks and Tech Power Dynamics

[00:37:40] 2.3 Ethical Frameworks and AI Governance Debates

[00:40:52] 2.4 AI Alignment Evolution and Technical Challenges

3. Technical Governance Framework

[00:55:07] 3.1 Three Levels of AI Safety: Alignment, Corrigibility, and Boundedness

[00:55:30] 3.2 Challenges of AI System Corrigibility and Constitutional Models

[00:57:35] 3.3 Limitations of Current Boundedness Approaches

[00:59:11] 3.4 Abstract Governance Concepts and Policy Solutions

4. Democratic Implementation and Coordination

[00:59:20] 4.1 Governance Design and Measurement Challenges

[01:00:10] 4.2 Democratic Institutions and Experimental Governance

[01:14:10] 4.3 Political Engagement and AI Safety Advocacy

[01:25:30] 4.4 Practical AI Safety Measures and International Coordination

CORE REFS:

[00:01:45] The Compendium (2023), Leahy et al.

https://pdf.thecompendium.ai/the_compendium.pdf

[00:06:50] Geoffrey Hinton Leaves Google, BBC News

https://www.bbc.com/news/world-us-canada-65452940

[00:10:00] ARC-AGI, Chollet

https://arcprize.org/arc-agi

[00:13:25] A Brief History of Intelligence, Bennett

https://www.amazon.com/Brief-History-Intelligence-Humans-Breakthroughs/dp/0063286343

[00:25:35] Statement on AI Risk, Center for AI Safety

https://www.safe.ai/work/statement-on-ai-risk

[00:26:15] Machines of Love and Grace, Amodei

https://darioamodei.com/machines-of-loving-grace

[00:26:35] The Techno-Optimist Manifesto, Andreessen

https://a16z.com/the-techno-optimist-manifesto/

[00:31:55] Techno-Feudalism, Varoufakis

https://www.amazon.co.uk/Technofeudalism-Killed-Capitalism-Yanis-Varoufakis/dp/1847927270

[00:42:40] Introducing Superalignment, OpenAI

https://openai.com/index/introducing-superalignment/

[00:47:20] Three Laws of Robotics, Asimov

https://www.britannica.com/topic/Three-Laws-of-Robotics

[00:50:00] Symbolic AI (GOFAI), Haugeland

https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence

[00:52:30] Intent Alignment, Christiano

https://www.alignmentforum.org/posts/HEZgGBZTpT4Bov7nH/mapping-the-conceptual-territory-in-ai-existential-safety

[00:55:10] Large Language Model Alignment: A Survey, Jiang et al.

http://arxiv.org/pdf/2309.15025

[00:55:40] Constitutional Checks and Balances, Bok

https://plato.stanford.edu/entries/montesquieu/

  continue reading

217 episodes

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