AIplain
An interactive Mandarin-language AI literacy course for non-technical professionals — journalists, policy researchers, small-business owners — that uses hands-on demos to explain how chatbots are trained, why they hallucinate, what RLHF actually changes, and how to spot AI-generated content, without writing a single line of code.
Mandarin-speaking professionals (reporters, policy aides, NGO staff) who need to understand AI well enough to write, regulate, or buy it
- Plain-language chapters mirroring the RLHF book's structure (instruction tuning, reward models, alignment) but stripped of code
- Interactive sliders showing how reward-model changes shift chatbot behavior live
- 'Hallucination lab' where users compare answers from differently-trained models on the same prompt
- Downloadable briefing packs tailored for journalists and policy briefings
The RLHF zh-TW translation's 105 stars show strong demand for serious AI education in Chinese; pivoting that rigor to non-engineers serves a far larger audience that the original repo doesn't reach.
Real evidence of demand: 105-star Traditional Chinese RLHF book translation with interactive labs (ai-twinkle/rlhf-book-zh-tw), plus multiple government- and school-led AI literacy initiatives in Taiwan (moe.gov.tw, aiforeveryone.aiacademy.tw) and Hong Kong (hkai-solve-academy.com).ai-twinkle/rlhf-book-zh-tw - GitHub ↗公民 AI 素養計畫 — 台灣人工智慧學校 ↗教育革新 AI助力 數位學習新時代 - moe.gov.tw ↗
Adjacent competitors exist (公民 AI 素養計畫, 香港 AI 培訓學院, 130+ generic Chinese-subtitle AI course lists, English-only nontechies.ai) but none specifically targets journalists/policy/NGO staff with hands-on, code-free interactive demos of hallucinations, RLHF mechanics, and AI-content detection.公民 Ai 素養計畫 ↗AI Literacy Course — NonTechies ↗香港ai培訓學院 ↗
Most Mandarin AI literacy offerings surfaced are free or government-funded (moe.gov.tw, 公民 AI 素養計畫, e等公務園+); paid channels concentrate in corporate B2B training (hkai-solve-academy.com), so direct willingness-to-pay from individual journalists/policy researchers remains unproven.e等公務園+ 科技資訊與媒體素養課程 ↗香港ai培訓學院｜Ai課程 ↗
AI literacy demand is structurally durable — Taiwan and Hong Kong are formalizing AI into curricula and civil-service training, and AI regulation/content-authentication needs will keep growing — but course content on RLHF and detection will need refresh as models evolve.公民 Ai 素養計畫 ↗
Build is moderate: content can leverage existing open materials (RLHF zh-TW translation, public lectures) and browser-based interactive demos; Mandarin production is straightforward, but creating polished no-code interactive labs (hallucination demos, detection exercises) requires nontrivial web dev and ongoing curation.ai-twinkle/rlhf-book-zh-tw - GitHub ↗mlnjsh/rl-book-labs: Interactive browser-based labs ↗