Monthly Archives: January 2025

EP 279 Samuel Scarpino on H5N1 (Bird Flu) and Pandemic Risk



Jim talks with epidemiology expert Samuel Scarpino about the recent spread of H5N1 (bird flu) in dairy cows and its implications for public health. They discuss the historical context of H5N1, fatality rates, modeling the spread, network effects in disease transmission, current surveillance efforts, H5N1 transmission mechanisms, challenges of human respiratory transmission, lessons learned & mislearned from Covid-19, the current state of the H5N1 vaccine preparation, extreme pandemic response scenarios, Sam’s current risk assessment, economic impacts including egg & dairy prices, recommendations for immediate action, and much more.
Samuel Scarpino is the Director of AI + Life Sciences at the Institute for Experiential AI at Northeastern University and a Professor of the Practice in Health and Computer Sciences. He holds appointments in the Institute for Experiential AI and the Network Science, Global Resilience, and Roux Institutes. Prior to joining Northeastern in November 2022, Scarpino was the Vice President of Pathogen Surveillance at The Rockefeller Foundation and Chief Strategy Officer at Dharma Platform (a social impact, technology startup). Outside of these roles, he has over 10 years of experience translating research into decision support and data science/AI tools across diverse sectors from public health and clinical medicine to real estate and energy.

EP 278 Peter Wang on AI, Copyright, and the Future of Intelligence



Jim has a wide-ranging conversation with recurring guest Peter Wang on AI copyright frameworks and the rapidly changing tech landscape. They discuss “the Chattening” (ChatGPT’s release in November 2022) & its impact, parallels between current AI & the invention of science, humans as narrow-band sensors, cybernetics & control systems, the unbearable slowness of being, the Platonic Representation Hypothesis, language & intelligence, why eyeballs are white, copyright challenges with AI, the Anaconda ML Public License framework for AI rights & usage permissions, AI’s impact on various industries, impacts on software engineering careers, giant frontier models vs specialty models, AI models’ convergence on underlying reality, representation complexity, evaluation frameworks, and much more.

Peter Wang is the Chief AI and Innovation Officer and Co-founder of Anaconda. Peter leads Anaconda’s AI Incubator, which focuses on advancing core Python technologies and developing new frontiers in open-source AI and machine learning, especially in the areas of edge computing, data privacy, and decentralized computing.