Maintaining political systems in their most basic, unspecialized state allows for greater adaptability and diverse local interpretation.
The 'uncarved block' or pu in Taoist philosophy represents potential in its raw state, before specialization and division limit its possibilities. Applied to algorithmic governance, this principle suggests that overly-carved, highly-specialized political algorithms may actually reduce adaptability and responsiveness. Instead, governance systems benefit from remaining somewhat general, allowing local jurisdictions and communities to carve their own specific applications. A federal political algorithm that is too finely carved for specific urban contexts will fail in rural environments; one kept at the block level allows regional adaptation. This requires designing systems that can be instantiated differently across contexts while maintaining coherence at the foundational level. The uncarved block is not primitive—it requires sophisticated design to remain appropriately general while still functional. This approach contradicts the tendency toward centralized algorithmic control; instead it empowers distributed governance where the algorithm provides framework but preserves local autonomy in implementation.
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