Understanding AI World Models w/ Chris Canal

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!





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
Understanding AI World Models w/ Chris Canal
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