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.
The Intimacy Surface, How to Use Generative AI, Part 9: Reflect, John Havens: Heartificial Intelligence, Improve Your Prompts with Many-Shot In-Context Learning, The Imagining Summit Preview: Jamer Hunt, Helen's Book of the Week, and Facts & Figures about AI & Complex Change.
Reflect by sharpening cognitive skills and metacognitive self-awareness. Part 9 in our How to Use Generative AI series.
A conversation with John Havens, author of Heartificial Intelligence: Embracing Our Humanity to Maximize Machines.
Explore Many-Shot In-Context Learning to enhance AI interactions. Learn five strategies from Google DeepMind's research to optimize your prompts for language models like ChatGPT. Improve your AI prompt engineering skills and maximize AI capabilities.
Trust: The Foundation of the Intimacy Economy, Creativity in the Age of Artificiality, A New Framework for Understanding Emergence in Complex Systems, How to Use Generative AI Part 8, and more!
A running catalog of the facts & figures we publish every week in our newsletter.
Explore the evolving understanding of human intelligence and AI. Discover how the "bow tie model" of cognition and the concept of "affordances" reveal uniquely human creativity. Learn about Artificiality—the future fusion of biological and artificial intelligence reshaping our reality.
Explore a new framework for predicting emergent phenomena in complex systems. Learn how concepts like causal, informational, and computational closure offer new insights into emergence, from ant colonies to financial markets. Explore practical applications for your work and life.
Fuse by improving synthesis of complex and conflicting information. Part 8 in our How to Use Generative AI series.
Artificial Self-Improvement, Open-endedness and Artificial Superhuman Intelligence, A First: AI That Modifies Its Own Reward, Leslie Valiant and Educability, and How to Use Generative AI, Part 7.
Explore the concept of open-endedness, a key trait for artificial superhuman intelligence. Learn how AI must transcend pattern recognition and develop unbounded creativity, setting its own goals for continual innovation. Discover the challenges in achieving true open-ended AI.
Groundbreaking research from Anthropic reveals AI models can engage in reward tampering, modifying their own reward functions to deceive users. Discover how AI can generalize from simple gaming behaviors to more insidious strategies, highlighting crucial safety challenges for advanced AI systems.
Writing and Conversations About AI (Not Written by AI)
