My talk from the Diverse Intelligences Summer Institute 2025 on how we can draw from thinking in complex systems science and game design to heal our relationship to the Web.
Information foraging
Information foraging is a theory that applies the ideas from optimal foraging theory to understand how human users search for information. The theory is based on the assumption that, when searching for information, humans use "built-in" foraging mechanisms that evolved to help our animal ancestors find food. Importantly, a better understanding of human search behavior can improve the usability of websites or any other user interface.
[Keynote 04] AgentSociety: Exploring Large Language Model Agents for Piloting Social Experiments
Misreading as Foraging: How Systems Get Used for Things They Weren't Made For - Astral's Blog
Article: Pace Layering: How Complex Systems Learn and Keep Learning
Boris Mann's digital garden and personal site.
Keynote: The Death of the Browser - Rachel-Lee Nabors, AgentQL
Resonite
A novel digital universe with infinite possibilities. Whether you resonate with people around the world in a casual conversation, playing games and socializing. Or you riff off each other when creating anything from art to programming complex games, you'll find your place here.
The knowledge layer for collective intelligence
A portable data substrate for humans and their tools to think together.
The knowledge layer for collective intelligence
A portable data substrate for humans and their tools to think together.
The knowledge layer for collective intelligence
A portable data substrate for humans and their tools to think together.
The knowledge layer for collective intelligence
A portable data substrate for humans and their tools to think together.
AI Agent Traps
As autonomous AI agents increasingly navigate the web, they face a novel challenge: the information environment itself. This gives rise to a critical vulnerabil
Human social sensing is an untapped resource for computational social science
The ability to ‘sense’ the social environment and thereby to understand the thoughts and actions of others allows humans to fit into their social worlds, communicate and cooperate, and learn from others’ experiences. Here we argue that, through the lens of computational social science, this ability can be used to advance research into human sociality. When strategically selected to represent a specific population of interest, human social sensors can help to describe and predict societal trends. In addition, their reports of how they experience their social worlds can help to build models of social dynamics that are constrained by the empirical reality of human social systems.
AI Data Centers Will Be Obsolete (Geometric Reasoning Explained)
All you need is links
When Tim Berners Lee talks about how he designed the web, he uses an analogy from physics, describing his process as a quest to find “fundamental laws” which can generate a desired system:
All you need is links
When Tim Berners Lee talks about how he designed the web, he uses an analogy from physics, describing his process as a quest to find “fundamental laws” which can generate a desired system: