Lawted Wu
I teach the AI for Social Sciences track at Generation AI 2026 — the joint AI Maker program of Stanford Center at Peking University.
AI is finally cheap enough, and tools are finally good enough, that a teenager can ship a game a stranger actually wants to play. This course is built around that fact.
In eight weeks, students build a playable, AI-powered interactive narrative game about one social issue that quietly shapes Chinese teenagers — academic pressure, family relationships, or the online environment they grow up in.
The reference project is PUA Game — a black-comedy survival game I built that simulates a graduate student under an abusive advisor. Each student ships something in the same spirit, on a real public URL, with real players.
No prior code experience is required. You vibe-code with Claude Code and Codex, both running in the terminal. You describe what you want; the AI agents pair with you to scaffold a Next.js + Tailwind + Supabase app and ship it to Vercel.
Outside the course, I'm a research assistant at Stanford HAI, a research intern at Tsinghua HCI Lab (co-author of an ACM CHI 2026 paper), and incoming Harvard MDE '28. Before that, three years of frontend at Alibaba, MiniMax, and Tencent.
You can reach me at Email, lawted.tech, CV, GitHub, or X.