Sample Efficiency and Continual Learning Challenges

Adam Gleave is co-founder and CEO of FAR.AI. In this cross-post from The Cognitive Revolution Podcast, he joins to discuss post-AGI scenarios and AI safety challenges. The conversation explores his three-tier framework for AI capabilities, gradual disempowerment concerns, defense-in-depth security, and research on training less deceptive models. Topics include timelines, interpretability limitations, scalable oversight techniques, and FAR.AI’s vertically integrated approach spanning technical research, policy advocacy, and field-building.

LINKS:
Adam Gleave - https://www.gleave.me
FAR.AI - https://www.far.ai
The Cognitive Revolution Podcast - https://www.cognitiverevolution.ai

PRODUCED BY:

https://aipodcast.ing

CHAPTERS:

(00:00) A Positive Post-AGI Vision
(10:07) Surviving Gradual Disempowerment
(16:34) Defining Powerful AIs
(27:02) Solving Continual Learning
(35:49) The Just-in-Time Safety Problem
(42:14) Can Defense-in-Depth Work?
(49:18) Fixing Alignment Problems
(58:03) Safer Training Formulas
(01:02:24) The Role of Interpretability
(01:09:25) FAR.AI's Vertically Integrated Approach
(01:14:14) Hiring at FAR.AI
(01:16:02) The Future of Governance

SOCIAL LINKS:

Website: https://podcast.futureoflife.org

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Twitter (Gus): https://x.com/gusdocker

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Spotify: https://open.spotify.com/show/2Op1WO3gwVwCrYHg4eoGyP