Everything returns in Taoist cycles; algorithmic systems designed for extraction must be redesigned as circulation, where data and value flow back to communities, not just corporations.
Laozi observes that all things return to their source; water flows to the ocean and rises again as clouds. Most algorithmic platforms operate on extraction: they pull data from users, process it through proprietary systems, and return only limited, curated outputs. This breaks natural circulation. A Taoist redesign would make platforms truly cyclical: data flows in, analysis happens, insights flow back to the source communities that generated them. Users see patterns from their own data; communities access aggregate intelligence about their political ecosystem. This isn't merely ethical; it's aligned with natural law. Extraction creates imbalance that eventually reverses violently; circulation maintains health. Practically, this means open data warehouses for research, algorithmic explainability that serves users not just regulators, and platforms designed to strengthen community capacity rather than extract engagement. The return principle suggests that sustainable algorithmic systems are those where the flow benefits the source, where users gain what they contribute. Concentration of benefit creates resentment and instability; circulation builds resilience and legitimacy.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
Explore related journeys or tell Peri what you're working through.