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15min chapter
Meta’s Chief AI Scientist Yann LeCun: The Path Toward Human-Level Intelligence in AI [Ep. 473]
Into the Impossible With Brian Keating
The Elusive Nature of Self-Supervised Learning and AGI
This chapter explores the parallels between self-supervised learning in AI and the concept of dark matter in physics, emphasizing their shared elusive characteristics. It discusses the significance of understanding self-supervised learning for developing human-level intelligence in AI and differentiates between artificial general intelligence (AGI) and advanced machine intelligence (AMI). The chapter also critiques existing intelligence assessment methods while proposing new concepts to refine the evaluation of AGI.
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