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 AI Adaptation Cube maps, in three dimentions, 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.
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.
LLMs are great at coming up with approximate knowledge and ideas for potential plans. But to actually use those ideas, you need to pair the LLM with external programs that can rigorously check the plans for errors. The key is to use them as part of a bigger system.
Recent developments in AI have given rise to a new class of systems known as agentic AI. These systems are characterized by their ability to perceive, reason, and act with varying levels of complexity, extending human capabilities in unprecedented ways.
