多年来，神经科学一直是推动人工智能（AI）进步的关键驱动因素。本文作者提议，为了加速AI的进展，必须投资于神经AI的基础研究。其中的核心组成部分是具身图灵测试，它挑战AI动物模型以与其生活对应物类似的技能水平与感知-运动世界进行交互。具身图灵测试将重点从那些非常发达或独特的人类能力，如游戏和语言，转移到从5亿年的进化中继承的所有动物共享的能力上。建立能够通过具身图灵测试的模型将为下一代AI提供路线图。
标题：Catalyzing next-generation Artificial Intelligence through NeuroAI
论文：https://doi.org/10.1038/s41467-023-37180-x
作者：Anthony Zador, Sean Escola, Blake Richards, Bence Ölveczky, Yoshua Bengio, Kwabena Boahen, Matthew Botvinick, Dmitri Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad Körding, Alexei Koulakov, Yann LeCun, Timothy Lillicrap, Adam Marblestone, Bruno Olshausen, Alexandre Pouget, Cristina Savin, Terrence Sejnowski, Eero Simoncelli, Sara Solla, David Sussillo, Andreas S. Tolias & Doris Tsao
LeCun在得知此消息时却发推表示：已经out
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