Interloops is a study of repetition with variation. A place where systems observe themselves, where thoughts recur altered by time, and where progress is understood as a spiral rather than a line.
An interloop is not a closed circle. It is a structure that revisits itself without arriving at the same position twice. Each pass carries residue from the previous cycle.
Interloops exist in cognition, ecology, code, and culture. Habits that evolve. Conversations that never fully end. Patterns that resist completion.
Systems are often designed as if inputs and outputs were stable. Interloops rejects this assumption. Every output becomes an input, altered by interpretation, delay, and noise.
Stability here is not equilibrium but adaptability. A system survives by learning how to bend without forgetting its structure.
Interloops pays attention to second-order effects — the consequences of consequences. What a system does to itself over time.
Feedback is the engine of all loops. Without it, motion collapses into repetition. With it, repetition becomes evolution.
Positive feedback amplifies. Negative feedback stabilizes. Interloops studies the tension between the two — where growth threatens collapse and restraint risks stagnation.
Memory is how loops remain continuous. Without memory, every cycle resets, erasing accountability and learning.
Interloops treats memory not as storage, but as transformation. What is remembered is never identical to what occurred.
Forgetting is not failure. It is compression. The art lies in choosing what to preserve and what to let dissolve.
Interloops does not seek endings. It designs for continuation. For handoffs across time, across people, across versions.
A project that survives its creator becomes an interloop — shaped by origins, but no longer owned by them.