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January 27, 2025 199 mins

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
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