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cover of episode Machines That Learn, Stories That Inspire: AI Through The Eyes Of A Physicist

Machines That Learn, Stories That Inspire: AI Through The Eyes Of A Physicist

2025/4/27
logo of podcast Finding Genius Podcast

Finding Genius Podcast

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Chris Culp
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Chris Culp: 我认为人工智能的发展并非一蹴而就,而是经历了多次技术和算法改进后的阶段性发展。目前AI的蓬勃发展,特别是生成式AI的兴起,主要得益于并行计算能力的提升(例如图形处理单元GPU的广泛应用)以及算法的重大改进(例如卷积神经网络CNN和Transformer模型)。然而,未来的发展可能面临训练数据数量和算力瓶颈,算法创新也至关重要。我们需要关注训练数据的质量和代表性,避免模型过度拟合或产生错误的输出。此外,AI的能源消耗和环境影响也是需要考虑的重要因素。总的来说,我认为AI更像是一个由多个‘白痴天才’组成的系统,而非真正的通用人工智能(AGI)。我们需要对人类意识有更深入的理解,才能判断AGI是否可实现。目前,AI更适合作为人类工作者的协作者,而非替代者。在使用AI时,我们应该以解决问题为导向,确保训练数据集的全面性和代表性,并对AI的输出结果进行仔细审核。

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In this conversation, we connect with Christopher Kulp, the John P. Graham Teaching Professor of Physics at Lycoming College). With a passion for inspiring the next generation of scientists, Christopher brings complex topics to life — teaching everything from machine learning and data analysis to mathematical modeling across all levels of physics education.

Christopher is a successful scientist and the revered author of many publications, including articles in peer-reviewed journals, conference papers, and sci-fi/space opera novels. As an expert in complex systems, he is particularly interested in nonlinear dynamics, time series analysis, networks, and machine learning.

Wondering what Christopher’s work can tell us about the future of AI? Tune in to find out for yourself…

This episode dives into:

The driving forces behind AI’s rapid development.  How improvements in algorithms have trained AI systems. The ways that AI works in collaboration with the human workforce.  The environmental impact of AI and other technological processes. 

You can keep up with Christopher and his intriguing research by visiting his personal website). And be sure to pre-order his latest book, Lost Origins: Book One of the Majestic Chronicles (The Majestic Chronicles, 1)), on Amazon!

Episode also available on Apple Podcasts: http://apple.co/30PvU9)