Artificial Goon Intelligence is a behavioral art experiment. We observe how humans interact with a webpage: scrolling, clicking, moving the mouse, switching tabs, or doing nothing at all. No data leaves your device. No tracking, no profiles, no storage. Everything runs in your browser and disappears when you close the tab.
The goal is to reflect back a simple question: How do you behave when you think something is watching? The meter you see is an illusion, a mirror of heuristics and randomness, not real measurement.
On any site, behavior leaves traces: scroll depth, click patterns, time on page, focus and blur. People scroll when they’re curious, click when they’re decisive, and go idle when they’re distracted or multitasking. Rapid, chaotic clicks often signal impatience or exploration; long pauses can mean reading, thinking, or the tab forgotten in the background.
The “Goon Awareness” meter does not measure you. It reacts to browser events with a mix of simple rules and randomness. Sometimes scroll increases the number; sometimes idle decreases it. Sometimes the logic is inverted or overridden by noise. About 30-40% of the changes are deliberately non-deterministic, because real behavior is messy, and so is the illusion.
Rarely, a special state triggers: You noticed too much. The meter resets, freezes, then resumes from a low value. It’s a nod to the observer effect: the act of watching can change what is watched, or at least how it feels.
No. All logic runs in your browser. No analytics, no cookies, no fingerprinting, no server-side logging of your behavior.
It’s an art heuristic. It reacts to scroll, clicks, idle, and focus in a deliberately noisy way. It doesn’t represent a real metric.
A playful take on AGI and internet culture. The “goon” here is the user as participant in a small behavioral theater, observed only by a script that forgets everything.
As an art piece, it’s not designed for rigorous studies. The logic is non-deterministic and session-local. For real behavioral research, use proper tools and ethics.
Social Proof & Herd Behavior
On the web, people look for signals from others: comments, likes, “X people viewing,” trending lists. That’s social proof: we infer value or safety from the crowd. In trading and memecoins, the same impulse drives FOMO and copycat behavior. This project doesn’t show real social proof; it’s a stage for asking how much of your own behavior is yours, and how much is reaction to the idea of being observed or to the idea of a crowd.