Join us for a compelling conversation with physicist, professor, and sci-fi author Christopher Kulp. As the John P. Graham Teaching Professor of Physics at , Christopher is passionate about bridging the gap between science and storytelling — especially when it comes to machine learning, nonlinear systems, and AI’s evolving role in society. With research spanning from time series analysis to network dynamics, Christopher explores what large language models and generative tech mean for the human workforce, the environment, and the ethical landscape of innovation. Curious how a physicist views the future of AI and the algorithms shaping it? This is your chance to find out. In this episode: What’s accelerating the pace of AI innovation The science behind smarter, more efficient machine learning models How generative tech and LLMs are reshaping human creativity Why tech ethics matter more than ever in today’s AI-driven world To follow Christopher’s work, visit his — and don’t forget to pre-order his sci-fi novel , now available on Amazon. Episode also available on Apple Podcasts: