This bears more study…Zach Kinzler writes:

Loom Theory:

Owning knowledge no longer sets anyone apart; what matters is pattern literacy—the ability to frame a goal, spot exactly what you don’t know, and pull in just the right strands of information while an AI loom weaves those strands into coherent solutions.

In this view, facts are cheap threads; large-language-model stacks act as an on-demand loom; and competitive edge comes from sketching clear patterns: asking incisive questions, identifying which data, code, or insights belong together, and running rapid human-AI loops until the woven fabric fits the real-world need.

Because knowledge itself is now almost valueless raw material, the scarce skill is meta-knowledge—knowing which gaps to fill and directing the loom to fetch and fuse the missing pieces. Hallucinations become loose threads trimmed through fast iterations, and a brief human gatecheck supplies ethics, taste, and final context. Mastery, therefore, isn’t memorizing content; it’s orchestrating these loops to turn zero starting expertise into functional prototypes, strategies, or inventions—often in hours instead of months—proving that anyone can invent, build, or make almost anything once they learn to loom knowledge together.

Great job on this description of context engineering, as if we needed another term . It sounds good, anyway!