The Uncarved Block of Explanation

Pu, the uncarved block, represents potential and simplicity before unnecessary elaboration. In explaining AI, this means first identifying the irreducible core idea before adding context, examples, or technical depth. Most AI explanations fail because they begin carved—already shaped by jargon and assumption. Laozi taught that the block in its natural state contains infinite possibility; similarly, the simplest articulation of how neural networks learn contains the seed of understanding everything else. This practice reverses typical pedagogy: instead of building complexity upward, strip down to the essential pattern, then let readers extend understanding themselves. When explaining machine learning, begin with prediction itself—the basic human act—before introducing mathematics. The uncarved block reminds us that accessibility isn't about dumbing down; it's about finding the primary shape that all other explanations branch from.