AI is evolving from models to systems to agents—autonomous entities that act, adapt, and collaborate. As intelligence emerges from interactions, the future of AI depends on context, trust, and workflow integration. How we design social AI today will shape its role in amplifying human intelligence.
A lecture by Michael Levin, distinguished professor of biology at Tufts University and associate at Harvard's Wyss Institute
Preparatory material for our workshop on using generative AI for decision-making, generated by NotebookLM.
A research review of The Social Brain by Tracey Camilleri, Samantha Rockey & Robin Dunbar.
You may be familiar with the Dunbar Number, a theoretical cognitive limit to the number of individuals with whom one can maintain stable social relationships, typically estimated around 150. The Social Brain is a comprehensive expansion of this idea.
What it’s about: A combo of the latest from evolutionary psychology and leadership to explain how to get the most our of groups.
Why it matters: Going deeper on the science of our social brains will give you new insights into the way groups work, especially different sized groups in different contexts.
Highlight: The Dunbar Graph: go beyond understanding of the Dunbar Number (150, the maximum number of relationships we can manage based on the size of our brains) to understand states of stability in different group sizes: 1.5 (intimates), 5 (close friends), 15 (best friends) up to 5000 (known faces).
Read it if: You want deep insight into how groups work.
Buy on Amazon.
Writing and Conversations About AI (Not Written by AI)
