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12 Steps to AGI

The Alberta Plan is a new paper by the team from DeepMind Alberta that details their plans and core focuses over the next 5-10 years. While it puts a focus on Reinforcement Learning (RL) and touches on many areas that are already being explored, it takes a different perspective and focuses on a slightly different problem, which shifts how some of the mentioned problems may be tackled. The plan primarily focuses on continual learning in a vastly complex world where the agent needs to learn, and learn to learn (meta-learning) to achieve it's goals. Outline 0:00 - Intro 1:58 - Core problems 5:33 - Alberta Plan tenets 11:33 - The Common Model 13:55 - 12 step overview 15:57 - Steps 1-6 30:14 - Steps 7-12 39:38 - Intelligence amplification / Singularity 41:14 - Thoughts Social Media YouTube -    / edanmeyer   Twitter -   / ejmejm1   Sources: Alberta Plan Paper - https://arxiv.org/abs/2208.11173 CBP Paper - https://arxiv.org/abs/2108.06325 My video on CBP -    • Learning Forever, Backprop Is Insufficient   STOMP Paper - https://arxiv.org/pdf/2202.03466.pdf