Designing algorithmic systems with radical simplicity—the uncarved block—avoiding complexity that serves institutional interests rather than genuine needs.
The Taoist symbol of the uncarved block (pu) represents simple, undifferentiated potential and the power of not-yet-separated wholeness. In contrast to the tendency to create increasingly complex systems, Laozi championed simplicity as the ultimate sophistication. Applied to algorithmic politics, this means resisting the constant expansion and complexification of systems. Many algorithmic governance systems become complex not because complexity is necessary but because it serves institutional interests—complexity creates dependence on experts, obscures responsibility, and prevents public understanding. The uncarved block principle suggests that the strongest systems are the simplest ones that cannot be simplified further without losing essential function. This might mean algorithms with few parameters rather than thousands; decision rules that are comprehensible to ordinary people rather than requiring specialized training; systems that work through clear incentives rather than opaque mechanisms. Simplicity also makes systems more resilient—complex systems fail in complex ways when conditions change. The move toward simplicity is not technological regression but deeper sophistication: finding the essential skeleton beneath unnecessary elaboration. This requires resisting pressure to add features, to customize endlessly, to engineer for every possible case.
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