"LeCun says today's transformer-based large language models are useful enough to be applied in valuable ways, but he also believes they are unlikely to achieve the general or human-level intelligence needed to perform many high-value tasks now reserved for human brains."
"AMI says its 'building a new breed of AI systems that understand the world, have persistent memory, can reason and plan, and are controllable and safe.' The company said Wednesday that it raised a $1.03 billion funding round from a group of investors including Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions."
"LeCun believes that AI systems need more than an understanding of words to truly understand and navigate the real world. They need to model the world in a very different way-one that starts with an ability to represent spatial data and develop a native understanding of physics."
Yann LeCun, a pioneering AI researcher and former Meta chief AI scientist, has long contended that large language models alone cannot achieve human-level intelligence across most tasks. Despite disagreement from AI commentators, LeCun is backing his conviction through Advanced Machine Intelligence (AMI), which secured $1.03 billion in funding from investors including Cathay Innovation, Greycroft, Hiro Capital, HV Capital, Bezos Expeditions, former Google CEO Eric Schmidt, and Tim Berners-Lee. AMI aims to build AI systems with persistent memory, reasoning, planning, and safety features. LeCun believes AI requires training on diverse data types and must develop native understanding of physics and spatial representation, moving beyond the word-based focus of current transformer models. This architectural shift represents a fundamental departure from existing large language model approaches.
Read at Fast Company
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