Title:
Yann LeCun has a bold new vision for the future of AI
Authors:
Melissa Heikkilä & Will Douglas Heavenarchive
Published:
MIT Technology Review, 24 June 2022
From the article:
One of the godfathers of deep learning pulls together old ideas to sketch out a fresh path for AI, but raises as many questions as he answers.
ALSO SEE
LeCun,Yann (2022). A Path Towards Autonomous Machine Intelligence. OpenReview, 27 June 2022.
Abstract:
How could machines learn as efficiently as humans and animals? How could machines learn to reason and plan? How could machines learn representations of percepts and action plans at multiple levels of abstraction, enabling them to reason, predict, and plan at multiple time horizons? This position paper proposes an architecture and training paradigms with which to construct autonomous intelligent agents. It combines concepts such as configurable predictive world model, behavior driven through intrinsic motivation, and hierarchical joint embedding architectures trained with self-supervised learning.