Yann LeCun在巴黎创办的AMI实验室募集了1.03B美元,以建立人工智能,利用现实世界物理学和因果关系模仿人类的推理。 Yann LeCun’s Paris startup AMI Labs raised $1.03B to build AI that mimics human reasoning using real-world physics and causality.

Meta AI公司前董事和图灵奖得主Yann LeCun为他35亿美元的巴黎AMI实验室启动募集了10.3亿美元,目的是通过以因果关系和现实世界物理学为核心的“世界模型”建立模拟人类推理的AI系统。 Former Meta AI chief and Turing Award winner Yann LeCun has raised $1.03 billion for his $3.5 billion Paris-based startup AMI Labs, which aims to create AI systems that mimic human reasoning through "world models" centered on causality and real-world physics. AMI力求开发耐久记忆、规划和预测能力的人工智能,用于机器人、医疗保健和制造业,与现有的大型语言模型形成对照。 AMI seeks to develop AI with persistent memory, planning, and prediction capabilities for use in robotics, healthcare, and manufacturing, in contrast to existing large language models. 该公司正在扩大在新加坡的业务,打算释放开放源码工具,增加劳动力,重点是负责任的AI开发和人力监督。 The company, which is expanding its operations in Singapore, intends to release open-source tools and grow its workforce, with a focus on responsible AI development and human oversight. Temasek、Bezos Expeditions和Cathay创新是投资者之一,显示出对除基因模型以外的人工智能结构的浓厚兴趣。 Temasek, Bezos Expeditions, and Cathay Innovation are among the investors, demonstrating a keen interest in AI architectures other than generative models. LeCun驳斥了对AI将超越人类智慧的担忧,而认为它将提高生产力而不是取代人类。 LeCun rejects concerns that AI will surpass human intelligence, arguing instead that it will increase productivity rather than replace humans.