Our original research into the human experience of AI. We aim to find signal in the noise, giving our readers a clear picture of today and an understanding of what might be possible in the future.
The skills that can be taught quickly can be automated quickly. What's left is the slow work universities were built for: helping people become who they are.
The AI Adaptation Cube maps, in three dimensions, the roles we put AI in based on the three traits: Cognitive Permeability, Symbolic Plasticity, and Identity Coupling.
AI usage is too complex for any single research approach to capture completely. We summarize and compare three recent studies: Anthropic's Economic Index Report, OpenAI's How People Use ChatGPT, and the Artificiality Institute's Chronicle project.
People are forming psychological relationships with AI systems that feel unprecedented to them. The Chronicle maps the psychological changes happening as people incorporate AI into their thinking, creativity, and daily relationships.
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.
Explore the shift from the attention economy to the intimacy economy, where AI personalizes learning experiences based on deeper human connections and trust.
As meta-researchers, we consume ideas and research from a variety of sources. Books, in particular, are an important source. And Helen reads a lot of them. Each week she profiles one book in our newsletter—and this is the the full list.
