Chris Canal, co-founder of EquiStamp, joins muckrAIkers as our first ever podcast guest! In this ~3.5 hour interview, we discuss intelligence vs. competencies, the importance of test-time compute, moving goalposts, the orthogonality thesis, and much more.

A seasoned software developer, Chris started EquiStamp as a way to improve our current understanding of model failure modes and capabilities in late 2023. Now a key contractor for METR, EquiStamp evaluates the next generation of LLMs from frontier model developers like OpenAI and Anthropic.

EquiStamp is hiring, so if you're a software developer interested in a fully remote opportunity with flexible working hours, join the EquiStamp Discord server and message Chris directly; oh, and let him know muckrAIkers sent you!

• (00:00 ) - Recording date
  


• (00:05 ) - Intro
  


• (00:29 ) - Hot off the press
  


• (02:17 ) - Introducing Chris Canal
  


• (19:12 ) - World/risk models
  


• (35:21 ) - Competencies + decision making power
  


• (42:09 ) - Breaking models down
  


• (01:05:06 ) - Timelines, test time compute
  


• (01:19:17 ) - Moving goalposts
  


• (01:26:34 ) - Risk management pre-AGI
  


• (01:46:32 ) - Happy endings
  


• (01:55:50 ) - Causal chains
  


• (02:04:49 ) - Appetite for democracy
  


• (02:20:06 ) - Tech-frame based fallacies
  


• (02:39:56 ) - Bringing back real capitalism
  


• (02:45:23 ) - Orthogonality Thesis
  


• (03:04:31 ) - Why we do this
  


• (03:15:36 ) - Equistamp!

Links

• EquiStamp
• Chris's Twitter
• METR Paper - RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts
• All Trades article - Learning from History: Preventing AGI Existential Risks through Policy by Chris Canal
• Better Systems article - The Omega Protocol: Another Manhattan Project

Superintelligence & Commentary

• Wikipedia article - Superintelligence: Paths, Dangers, Strategies by Nick Bostrom
• Reflective Altruism article - Against the singularity hypothesis (Part 5: Bostrom on the singularity)
• Into AI Safety Interview - Scaling Democracy w/ Dr. Igor Krawczuk

Referenced Sources

• Book - Man-made Catastrophes and Risk Information Concealment: Case Studies of Major Disasters and Human Fallibility
• Artificial Intelligence Paper - Reward is Enough
• Wikipedia article - Capital and Ideology by Thomas Piketty
• Wikipedia article - Pantheon

LeCun on AGI

• "Won't Happen" - Time article - Meta’s AI Chief Yann LeCun on AGI, Open-Source, and AI Risk
• "But if it does, it'll be my research agenda latent state models, which I happen to research" - Meta Platforms Blogpost - I-JEPA: The first AI model based on Yann LeCun’s vision for more human-like AI

Other Sources

• Stanford CS Senior Project - Timing Attacks on Prompt Caching in Language Model APIs
• TechCrunch article - AI researcher François Chollet founds a new AI lab focused on AGI
• White House Fact Sheet - Ensuring U.S. Security and Economic Strength in the Age of Artificial Intelligence
• New York Post article - Bay Area lawyer drops Meta as client over CEO Mark Zuckerberg’s ‘toxic masculinity and Neo-Nazi madness’
• OpenEdition Academic Review of Thomas Piketty
• Neural Processing Letters Paper - A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks
• BFI Working Paper - Do Financial Concerns Make Workers Less Productive?
• No Mercy/No Malice article - How to Survive the Next Four Years by Scott Galloway