Crawlers is a kinematic, interactive work with feedback loops on multiple levels. Its motion system is a mix of algorithmic and nature-inspired distributed models, inviting viewers to become curious about the underlying mechanisms. The look is similarly balanced: the point, square, and circle combine rigid technical expression with dynamic, lifelike movement.
The page interaction is an attempt to blur the boundaries between the artwork and the viewer, while also reflecting on the timely topics of web crawlers, bots, and data collection. The page generation introduces a simple generative system, a boiled-down LLM predictor, offering a chance to feel what machine learning is at its core. In the AI agent era, we often find ourselves personifying probabilistic algorithms. The work encourages reflection on this and deeper thought about what is alive, what is not, and what we are. How are we different from the machine?
