Observing and understanding the strange quirks of individuals and crowds What makes humans truly “human” - not perfectly logical machines, but complex beings whose decisions are shaped by psychology, social context, and evolutionary history? By understanding human quirks, we can design better systems that work with human nature rather than against it.
Exploring the evolution of technology and its impact on society Understanding the past is crucial for shaping the future. By studying the evolution of technology, from early computing to modern AI systems, we can better understand how technological innovations have transformed society and anticipate future developments. This theme explores key technological milestones, their societal impacts, and the lessons we can learn from them.
What becomes possible when language models can hold context, make decisions, and execute across long horizons? The interesting question isn’t how to use AI agents as tools — it’s how to structure work when agents can hold context, make decisions, and execute across long horizons without human intervention at every step. The org chart changes. The spec-writing changes. The definition of a “team” changes.
Different places run on different assumptions — and traveling is the fastest way to see them. Every city I’ve lived in or visited runs on a different set of defaults: how people pay, who they trust, what they do after work, which apps own their attention. Spending time with people in different markets is the cheapest way to discover that your assumptions are local, not universal. A product that wins in one context can fail completely in another for reasons that have nothing to do with the core technology — and everything to do with the assumptions baked into the design.