Nine wikis · 200+ chapters · Chinese, with English terms
Method.
Each wiki is an attempt to map one domain end to end — ownership, incentives, mechanisms —
rather than to opine on it. All are open-source static sites on GitHub Pages: plain
Markdown, public-domain illustrations, verifiable sources, no paywall. Figures age;
each site says so on every page. Corrections are welcome as issues on
GitHub.
The physical value chain of AI — chips, HBM memory, power, data centers; how sector profit pools are being redrawn; what is good and bad for VCs and retail investors; which jobs and businesses survive. 21 chapters.
A typology and atlas of global capital — sovereign funds, asset managers, PE/VC, family fortunes, crypto and stablecoins — by country and by kind, ending on whether capital has borders. 36 chapters.
Who owns the media, what funds it, how left/right ratings are made (and contested), and how AI chatbots became the new gatekeepers. Strictly neutral; ratings attributed to third parties. 24 chapters.
How the attention economy industrializes the seven deadly sins; then a layer-by-layer guide to plugging the leaks — network, browser, system, identity — and taking your privacy back.
A hardcore, anti-influencer Europe travel wiki: 30+ cities, each with one well-chosen monarch as your guide, plus scam-avoidance, booking windows, and named old restaurants. 53 chapters.
An interactive single-page guide to engineering with AI agents: context engineering, spec-driven design for change, orchestration patterns, copy-ready prompts, anti-patterns.