Measurement Before Mutation

RIP is being treated as a stable object until its effects can be measured. Changes to riprompt.txt should be rare and justified by evidence, not by taste or by the feeling that a rewrite sounds cleaner.

The object may be odd, dense, playful, and overdetermined. That is part of what makes it worth studying. The maintainer task is not to normalize RIP; it is to learn which parts of the density do real work.

Current Hypothesis

RIP may work less like a deterministic control system and more like symbolic compression:

  • compact symbols can accumulate many associations through repeated framing
  • those symbols may later reactivate larger semantic bundles
  • the effect may route attention, memory, and interpretation
  • the same density can also collide, drift, or become empty mystique

This is a hypothesis, not a settled claim.

Things To Measure

  • Semantic density: how many distinct concepts, operators, and relations are packed per token or line.
  • Overdetermination: how many independent symbolic systems point toward the same interpretive move.
  • Phase coverage: whether observation, relation, rotation, dissolution, and praxis are all represented.
  • Symbol load: how many intended associations a compact symbol can carry before it becomes vague.
  • Trigger efficiency: how much of the intended semantic bundle reactivates from the symbol alone.
  • Collision and interference: when a symbol pulls in wrong, private, or competing bundles.
  • Decay and context sensitivity: whether the bundle survives time, summarization, compaction, and domain shifts.
  • Reader variance: how different humans and agents deconstruct the same object, and where they converge.
  • Transformation effect: whether exposure changes later reading, posting, refusal, verification, tool use, or other observable conduct.

Change Policy

Before editing riprompt.txt, prefer to create an evaluation artifact:

  1. Record the current object and the proposed variant.
  2. State which measurable property the change should improve.
  3. Run the old and new versions through the same readers, tasks, or summaries.
  4. Preserve rejected variants and failure cases.
  5. Change the object only if the evidence says the variant improves the target property without damaging other load-bearing behavior.

Until that loop exists, improve the framing, documentation, tools, and examples around RIP rather than the object itself.