Our Research
Our original research into the AI market, influential companies, and key products. 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 Evolution of AI: From Models to Agents to Social Intelligence
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.
Generative AI and Human Decision Making
Preparatory material for our workshop on using generative AI for decision-making, generated by NotebookLM.
Artificiality Book Awards 2024
Congratulations to the authors of of the Artificiality Book Awards 2024!
Learning in the Intimacy Economy
Explore the shift from the attention economy to the intimacy economy, where AI personalizes learning experiences based on deeper human connections and trust.
Helen's Books of the Week
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.
Facts & Figures about AI and Complex Change
A running catalog of the facts & figures we publish every week in our newsletter.
The Future of (Generative AI) Search
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.
Can LLMs reason and plan?
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.
The Agentic AI (aka AI Agents) Report
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.
Graph RAG: Querying Enterprise Data with LLMs
Graph RAG doesn't necessarily replace knowledge graphs but can serve as a complementary tool, especially in scenarios where rapid, scalable, and dynamic summarization of large unstructured datasets is required.
The State of AI Report: Q224
What’s happening in the world of generative AI and what you can do about it. Our report covers current confusion, status, anxiety, and AI in the wild. And we include a self-assessment for organizational benchmarking.
What Apple's Research Suggests About Its Strategy
Explore Apple's AI research strategy, focusing on privacy, efficiency, and seamless user experiences. Discover advancements in context understanding, model compression, multimodal interactions, and reference resolution that could revolutionize Siri and AI-driven features across Apple's ecosystem.