Artificial General Intelligence
Artificial General Intelligence (AGI) aims to create AI systems possessing human-level cognitive abilities across diverse domains, encompassing reasoning, learning, and problem-solving. Current research heavily focuses on leveraging large language models (LLMs) and their extensions, such as multimodal LLMs and LLM-based agents, to achieve this goal, exploring their capabilities in various tasks and environments, including game playing, scientific discovery, and even autonomous driving. This pursuit holds immense significance, potentially revolutionizing numerous fields through the development of more adaptable and versatile AI systems capable of tackling complex real-world problems. The integration of techniques like mixture of experts and the exploration of "specialized generalist" AI models are also key areas of investigation.
Papers
OpenCog Hyperon: A Framework for AGI at the Human Level and Beyond
Ben Goertzel, Vitaly Bogdanov, Michael Duncan, Deborah Duong, Zarathustra Goertzel, Jan Horlings, Matthew Ikle', Lucius Greg Meredith, Alexey Potapov, Andre' Luiz de Senna, Hedra Seid Andres Suarez, Adam Vandervorst, Robert Werko
Generative AI vs. AGI: The Cognitive Strengths and Weaknesses of Modern LLMs
Ben Goertzel
Agents: An Open-source Framework for Autonomous Language Agents
Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Xiangru Tang, Ningyu Zhang, Huajun Chen, Peng Cui, Mrinmaya Sachan
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, Wenzhan Song