“What I Learnt From Complexity” — @CedricChin
Why this is in the vault
Cedric on uncertainty as the ground state of business and career, not a problem to be solved. RDCO is itself a high-uncertainty bet (agent ops as a category is 18 months old) — these pieces are the operating manual for navigating that without overfitting to any single narrative.
The core argument
Cedric’s reading notes on M. Mitchell Waldrop’s Complexity. Key takeaway: the Santa Fe Institute frame on complex adaptive systems gives operators useful intuitions about emergence, path dependence, and the limits of reductionist planning — without falling into the framework-cosplay trap of ‘systems thinking’ as a brand.
Mapping against Ray Data Co
Two applications: (1) the founder’s own decision cadence — short OODA loops over long planning cycles, since the agent-ops landscape changes monthly; (2) how we advise clients on AI adoption — ‘no normal’ means refusing to give clean ROI projections and instead structuring engagements as cheap-to-run experiments with measurable learning output.
Related
- 2026-04-15-commoncog-no-truth-in-business-only-knowledge
- 2026-04-15-commoncog-process-improvement-is-hard
Source: What I Learnt From Complexity by Cedric Chin (Commoncog). 3697 words. Filed 2026-04-19 as part of Start-Here + Business-Expertise-Triad backfill cohort.