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 does an organization look like when a meaningful portion of the workforce is non-human? 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.
Technology built for one market rarely works in another without rethinking the product, not just the language. Localization isn’t translation. Different markets have different infrastructure constraints, payment behaviors, trust patterns, and distribution channels. 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.