Skills that occasionally produce unexpected output may be more useful than perfectly predictable skills.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• A skill should do its work and stop, avoiding performative complexity and multi-stage flows when single-pass suffices.claim0.791
• Skills should interconnect with each other rather than operate independently; output of one feeds another.claim0.786
• Parallel sub-tasks within skills and across skill families should produce parallel outputs for legibility.claim0.757
• Every skill should have one unmistakable thing it does; sprawling skills violate the Strong Centers principle.claim0.750
• For feedback to be meaningful, the end-result must be unpredictable; a predetermined end-state shuts off the possibility of adaptation.claim0.750
  Unpredictability is a necessary condition for genuine adaptation.
• A skill's output length should match task complexity—short tasks produce short reports, long tasks produce structured hierarchical reports.claim0.747
• Most work in diverse intelligence emphasizes externally observable problem-solving competencies in unconventional media.claim0.746
  A characterization of the diverse intelligence field provided by the authors.
• Modern machines, including quantum computers and machine learning systems, achieve reliable function through uncertain events, making unpredictability a feature rather than a defect.claim0.746
  Argument that predictability is no longer an essential property distinguishing machines from life