Group 1 - The core idea of the article revolves around the evolution of AI, particularly the contributions of Terrence Sejnowski and Geoffrey Hinton, highlighting the significance of the Boltzmann machine in modern deep learning [1][19] - Sejnowski emphasizes that while AI technology has advanced rapidly, a true understanding of intelligence may require generations of research and patience [6][22] - The conversation touches on the limitations of current AI models, such as ChatGPT, which lack essential components of human cognition, including memory and self-generated thought processes [3][21][38] Group 2 - Sejnowski argues that the current AI models primarily simulate a small part of brain function, specifically the cerebral cortex, and miss out on critical structures like the basal ganglia and hippocampus [4][26][40] - The discussion highlights the need for AI to integrate both cognitive and reinforcement learning, akin to human development, to achieve a more holistic understanding of intelligence [27][28] - The article suggests that understanding the mechanisms of intelligence in various species could lead to a more comprehensive theory of knowledge and understanding, rather than solely focusing on replicating human brain functions [51][52]
我和辛顿一起发明了复杂神经网络，但它现在需要升级
3 6 Ke·2025-12-14 23:26