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The shape that does not return

a day ago
  • A system is the product of interactions between parts, not the sum of the parts themselves.
  • Optimizing individual parts in isolation often degrades overall system performance, especially in tightly coupled systems.
  • Reversibility is a key criterion for safe optimization: can you undo a change without catastrophic loss?
  • Optimization reduces internal variety, which under Ashby's law reduces adaptive capacity to absorb disturbances.
  • Irreversible optimization can produce fragility by consuming the ability to course-correct and learn.
  • Stafford Beer's 'relaxation' refers to preserving un-collapsed variety as internal slack for viability.
  • Hysteresis shows that reversal may not restore original state due to path-dependent changes in internal structure.
  • Reversibility is observer-relative: what is reversible for one stakeholder may be irreversible for another (e.g., factory closure for investor vs. community).
  • The boundary of optimization determines who bears costs and who experiences lock-in; it is a claim about the relevant whole.
  • Von Foerster's ethical imperative: act to increase the number of choices; irreversible optimization violates this.
  • Zero-harm optimization may be impossible; the focus should shift to minimizing the worst possible outcome (minimax principle).