# The Compendium - Connor Leahy and Gabriel Alfour

Page: https://stenobird.com/podcast/machine-learning-street-talk/the-compendium-connor-leahy-and-gabriel-alfour
Text version: https://stenobird.com/podcast/machine-learning-street-talk/the-compendium-connor-leahy-and-gabriel-alfour.md
Podcast: [Machine Learning Street Talk (MLST)](https://stenobird.com/podcast/machine-learning-street-talk)
Published: 2025-03-30T17:16:37+00:00
Episode link: https://podcasters.spotify.com/pod/show/machinelearningstreettalk/episodes/The-Compendium---Connor-Leahy-and-Gabriel-Alfour-e30s7s0
Audio file: https://anchor.fm/s/1e4a0eac/podcast/play/100588864/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2025-2-30%2F2f821d64-3ab9-3534-5bc2-ec24a7e20e6a.mp3
Processing state: processed
JSON: https://stenobird.com/v1/public/podcasts/machine-learning-street-talk/episodes/the-compendium-connor-leahy-and-gabriel-alfour
Duration seconds: 5830

## Resource

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, Corrig…

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