[ML] A Path Towards Autonomous Machine Intelligence
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Different researchers have different perspectives on the ideas proposed by LeCun, but in general this paper is extremely enlightening and leading. The paper proposes an architecture and training paradigm for building autonomous intelligences, combining concepts such as configurable predictive world models, behavior driven by intrinsic motivation, and hierarchical joint embedding architectures trained by self-supervised learning.