Overview
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Explore a comprehensive analysis of the Alberta Plan, a new paper from DeepMind Alberta outlining their 5-10 year strategy for advancing artificial general intelligence (AGI). Delve into the plan's core focus on reinforcement learning and continual learning in complex environments. Examine the 12 key steps proposed, including the Common Model concept, meta-learning approaches, and potential paths to intelligence amplification. Gain insights into how this plan shifts perspectives on existing AI challenges and proposes novel solutions for achieving AGI.
Syllabus
- Intro
- Core problems
- Alberta Plan tenets
- The Common Model
- 12 step overview
- Steps 1-6
- Steps 7-12
- Intelligence amplification / Singularity
- Thoughts
Taught by
Edan Meyer