
Melanie Moses
Professor of Computer Science at the University of New Mexico, External Faculty at the Santa Fe Institute, and Chair of the New Mexico AI Consortium. Her work explores scaling theory and decentralized systems.
Best podcasts with Melanie Moses
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38 snips
Mar 13, 2024 • 34min
Physics of Life, Ep 4: The physics of collectives
Exploring the intelligent behavior of ants and its relevance to human societies. Discussing the role of city size in innovation and communication technologies. Highlighting the power of collectives in driving breakthrough inventions. Analyzing the necessity of rules for coherent functioning in complex systems.

Jul 29, 2025 • 51min
#21 – Melanie Moses: From Cells to Algorithms
Melanie Moses, a Professor of Computer Science at the University of New Mexico and Chair of the New Mexico AI Consortium, dives deep into the fascinating interplay of scaling theory in nature and technology. She reveals how decentralized systems like ant colonies can inform robust AI design. The discussion also highlights the costs of scalable infrastructure and advocates for innovative governance to address global challenges. Furthermore, Melanie examines the potential of biological principles in fostering collaboration and efficiency in AI, all while encouraging interdisciplinary research.