Yann LeCun, Meta's chief AI scientist, predicts a transformative shift in AI within the next three to five years, moving past today's generative AI systems like large language models (LLMs). He suggests that ongoing technological advancements in robotics and AI will create a new wave of intelligent applications. LeCun critiques the current LLM paradigm, stating it lacks essential capabilities such as understanding the physical world, persistent memory, reasoning, and planning, which are necessary for machines to exhibit true intelligence. He anticipates that these limitations will be addressed by emerging 'world models' that enhance machine cognition.
I think within five years, nobody in their right mind would use [LLMs] anymore, at least not as the central component of an AI system.
The limitations inhibit truly intelligent behavior in machines, due to a lack of understanding of the physical world, persistent memory, reasoning, and planning capabilities.
We're going to see the emergence of a new paradigm for AI architectures, which may not have the limitations of current AI systems.
World models promise to help machines understand the dynamics of the real world, including memory, common sense, intuition, and reasoning capabilities.
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