AESxARG

Clean Games: Part 1

Mon, 25 May 2026 12:34:11 -0700

Applying clean game experiments on social media accounts (which I refer to as “stages”) is an interesting way to explore systems and their algorithms within a black box (the “stage”). Social media is a black box game stage.

What do I mean by “clean game”? I am defining it in this lens as having a somewhat newer account with very few followers in the double digits. It’s enough of a set to observe patterns of feedback loops and not enough to create additional noise that makes it difficult to discern the minimum observed rules within a stage.

Fair, Infinite Games with Asymmetrical Information

Sat, 28 Feb 2026 11:01:11 -0700

Fairness is defined by voluntary, revocable participation under evolving Unspoken Rules, not equality of data.
Asymmetry is intentional, not accidental
Open-endedness reflects the quality of shared commitment to the process, not a specific outcome.
Communication happens through meta-moves and frame alignment.
Continuous observation and participation matter more than fixed scorekeeping.
There is no financial incentive in these interactions.
The goal is continual collaborative world-building across asymmetric perspectives.

Discernment, Refinement and Taste in Adaptive Feedback Systems

Sat, 21 Feb 2026 10:14:01 -0700

The initial construction of a fluid system opens pathways where everything is unexplored and feels exciting. As a result of the synthesis of this feeling and unfamiliarity with the landscape observed we give leeway to exploration and branching out in novel and creative ways. As the branching reaches its observed state of limits, the system temporarily hardens into a structure that tends to prune most branches and maintains only the ones with the most stable feedback loops. When the stability reaches a state where nothing moves and is at its hardening limit, the reversal (softening) of the previous state enables branch regeneration but under a different observable phase shift.