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 conversation with Leslie Valiant about his new book, The Importants of Being Educable: A New Theory of Human Uniqueness.
Iterate by critiquing, interacting, and iterating to improve outpus. Part 7 in our How to Use Generative AI series.
AIX: The Apple Intelligence Experience, The Future of (Generative AI) Search, The Synergy of Human Creativity and AI, The ARC Prize and What it Means for AGI, and more!
Explore the future of search with generative AI. Discover how Apple Intelligence, context-based understanding, intent-driven interactions, and integrated workflows are transforming search. Learn about the trust challenges and the critical balance needed for reliable, AI-powered search experiences.
Discover how human creativity and AI collaborate in the face of advancements. Explore the unique qualities of human flexibility, diverse responses, and AI's ability to overcome creative blocks. Learn how architecture, analogical reasoning, and rap benefit from AI's divergent thinking capabilities.
Explore the debate on achieving AGI: scaling laws vs new approaches. Learn about the ARC prize, a $1M competition challenging the current consensus and proposing a benchmark focused on skill acquisition. Discover why benchmarks matter in shaping AI's future and driving industry perceptions.
Imagining a Hopeful Future with AI, Decoding the Complexity of Innovation with AI, Is AI Really as Creative as Humans, Jonathan Feinstein and The Context of Creativity, and more!
Recent studies claim AI outperforms humans in creativity tests, but these only measure "creative potential." Examples show AI ideas often lack practicality and appeal. The future of AI-enhanced creativity lies in designing tools that allow for exploration, playfulness, and guidance.
AI and network analysis reveal innovation's complex structure, manage creative tensions, and amplify human potential by uncovering patterns in invention data. AI guides the process, but human intuition remains crucial in navigating the unequal market of ideas.
A 42 hour retreat dedicated to Imagining a Hopeful Future with AI for imaginitive thinkers and innovators who share our hope for the future and are crazy enough to think we can collectively change things.
An interview with Jonathan Feinstein, professor at the Yale School of Management and author of Creativity in Large-Scale Contexts: Guiding Creative Engagement and Exploration.
Join us for our monthly research briefing on Tuesday June 11 at 1pm PT. This month's topic is generative AI search.
Writing and Conversations About AI (Not Written by AI)
