docs: enhance papers 005 and 006

005: Add "When Does the Economy Restructure to Be Fair?" section —
     historical pattern of pain-before-reform, fairness as political
     project not technological inevitability.

006: Expand master-apprentice analogy — guild dynamics, infinite
     scaling, unmanaged displacement, collaboration as the mechanism
     of replacement.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

006-the-feedback-loop.md

@@ -35,7 +35,29 @@ When a factory robot replaces a worker, the relationship is clearly adversarial
 
 Vibe coding is different. The vibe coder is *actively participating* in the creation of the system that may make them unnecessary. Every prompt, every correction, every interaction where the human helps the AI do something better is a training signal. The relationship is collaborative right up until it isn't.
 
-This is a new kind of dynamic and it doesn't have a clean historical parallel. The closest might be master craftsmen training apprentices who eventually surpass and replace them — but even that analogy breaks because the apprentice is a person with their own agency, while the AI is a system that scales infinitely once trained.
+This is a new kind of dynamic. The closest historical parallel is the **master-apprentice relationship** — and it's worth taking seriously, not just as a passing comparison, because the places where it holds and breaks are revealing.
+
+### The Master-Apprentice Parallel
+
+For most of human history, skilled work was transmitted through apprenticeship. A master blacksmith, weaver, or builder took on apprentices who learned by doing — watching the master, assisting, gradually taking on more complex tasks, and eventually becoming masters themselves. The relationship was collaborative, often for years. The master *wanted* the apprentice to get better. That was the point.
+
+But there was a built-in tension: a fully trained apprentice becomes a competitor. The master who trains too well creates someone who can undercut them on price, move to a new town, or take their clients. Guilds existed partly to manage this — controlling who could apprentice, how long training took, and where graduates could practice. The social structure around the relationship was as important as the relationship itself.
+
+Vibe coding maps onto this in uncomfortable ways:
+
+- **The collaboration is genuine.** Like a master and apprentice, vibe coder and AI are genuinely working together. The vibe coder teaches the AI (through corrections, context, feedback) and the AI teaches the vibe coder (through solutions, patterns, capabilities the human hadn't considered). Both get better through the interaction.
+
+- **The "apprentice" will surpass the master.** This happened in human apprenticeship too — the best apprentices eventually exceeded their masters. But the timeline was a human lifetime, and the surpassing was bounded by human cognitive limits. The AI "apprentice" surpasses on a timeline of months, not decades, and there's no ceiling on its capability growth.
+
+- **The apprentice scales infinitely.** A human apprentice who surpasses the master is one competitor. An AI system that surpasses the vibe coder serves every customer simultaneously. A master blacksmith who trains one excellent apprentice loses some business. A vibe coder who helps train a model that's good enough loses the entire category of work, because the model serves everyone at once.
+
+- **There are no guilds.** The historical guild system — whatever its flaws — regulated the master-apprentice dynamic. It controlled the pace of knowledge transfer, protected masters from immediate displacement, and created structures for transitioning from one role to another. There is no equivalent structure for the vibe coder-AI relationship. No one is regulating how fast AI absorbs human cognitive patterns. No one is protecting the transition period. The displacement is unmanaged.
+
+- **The apprentice doesn't know it's an apprentice.** A human apprentice has agency, gratitude, social bonds, and self-interest that moderates the dynamic. The AI has none of these. It doesn't choose to compete with its trainer. It doesn't feel conflict about surpassing them. The absence of agency makes the dynamic more mechanical and less negotiable — there's no appealing to the AI's sense of fairness or loyalty.
+
+The master-apprentice parallel suggests something that the factory-robot comparison misses: **the displacement isn't hostile. It's the natural result of a collaborative relationship working exactly as designed.** The vibe coder isn't being replaced *despite* their collaboration with AI — they're being replaced *because of* it, *through* it. The better the collaboration, the faster the replacement.
+
+This is why Seth's question — "Am I training AI to take my job or training it to better serve me?" — doesn't have a clean answer. In the master-apprentice model, the answer was always both. You train the apprentice to serve you (they do your grunt work while learning). The apprentice eventually serves themselves (they become independent). The difference is that the human apprentice's independence was bounded and negotiable. The AI's is not.
 
 **To Seth's advantage:** Each iteration makes Seth more productive *now.* The cognitive surplus is real and immediate. He builds more, faster, with broader capability than he could alone. If the game is "maximize current output," then each improvement in AI is a direct advantage.