Systematized notes from Truman's business pre-judgment course. 15-character core mantra / 7-layer spectrum chart / 76% probability math / 4-stage deliverables / 9-character mindset. When to use it, how to use it, and extracted lessons from pitfalls.
A research report on AI Agent market investment trends compiled by newtype in January 2026. It contains full 2025 data on VC / sovereign wealth funds / unicorns / application layer / foundation model financing / sub-sectors (coding/healthcare/legal/enterprise/prediction markets). It covers OpenAI's valuation rising from $500 billion to $830 billion / Anthropic from $183 billion to $350 billion / xAI's cumulative funding of $42.1 billion / $87 billion in global GenAI financing / 191 new unicorns / $46 billion from sovereign funds / the "kingmaking strategy" phenomenon of valuations doubling within 27–60 days / single-point data on Cursor / Cognition / Harvey / Mercor and others / analyst views from Gartner / McKinsey / BCG / IDC / 25x revenue multiple / 5x cash burn multiple / Sequoia's three-stage "Agent Economy" thesis / bubble warnings.
Anthropic's "AI Economic Impact Measurement" research series. From its launch in early 2025 to May 2026, it has released 5 major reports plus 1 monthly survey project. Coverage: **the real distribution of what people use Claude for** (coding is not the only use case) / **uneven geographic and enterprise distribution** (40% of US workers use AI; China, India, Brazil, Africa) / **economic primitives** (new metrics: scope / breadth / depth) / **81K user survey** (occupational exposure vs concern + largest productivity gains at both the high- and low-wage ends) / **AI's impact on programming** (the industry chain has already changed) / **economic futures UK+Europe** (policy project). This wiki compresses the 5 reports + 3 news items into 1 map of "AI economic impact timeline + 5-dimension framework + Anthropic measurement methodology".
57 IPOs + 55 M&As = 112 exit transactions. Hong Kong Stock Exchange Chapter 18C / cross-border mega M&A deals (Silicon Labs US$7.5 billion / Terns Pharmaceuticals US$6 billion / Moonton over US$6 billion) / A-share private placements / state-owned asset restructuring
Statistical boundaries of 2973 financing list records, and industrialization, product reuse, and capital mechanisms in associated historical reports
A panoramic view of 1135 financing events from 36Kr Pitchhub in 2026 (January–May), covering industry × round × top investors × mega deals × monthly trends, based on real data.
210 healthcare financing deals. Major M&A for innovative drug outbound (Terns Pharmaceuticals $6 billion) / AI for drug (Huashen Zhiyao $787 million) / domestic substitution of medical devices / concentrated Hong Kong stock IPOs
201 frontier technology + tool software funding events. 5 leading large model companies / embodied intelligence explosion / quantum computing power taking off / AI for X application layer / profile of leading investors
Huang Yihe 2024-03 → 2026-05 Complete collection of AI business judgments, industry observations, and investment reflections. 452 posts, covering the commercial wars among OpenAI/Anthropic/xAI/Apple, the three-faction debate over Scaling Law between Zhu Xiaohu, Kai-Fu Lee and Cohere, the 5 levels of AI, LLM=OS, Page Rank→Agent Rank, the end of SaaS intermediary monopolies, the 10-year logic of NVDA accelerated computing, AI-era startup methodology (Context Matters / Do not build a house on someone else's foundation / Pro Users use multiple tools), personal business experiences (US company / Apple Developer / Substack subscriptions), the three-layer framework (technology stack / value chain / competitive landscape), and three things to do in 2026 (overseas bank card + US stocks + full AI access).
A large collection of AIGC industry reports amassed by Wang Kai in 2023, totaling over 20 PDFs. Coverage includes the Sparks of AGI paper + CAICT/JD AIGC white papers + industry research from Huaxi Securities/Qiming Venture Partners/Aifenxi/Colliers/Minute/ZhongAn Insurance/Fudan University and others + early lectures (Fu Sheng/Li Piji) + Azure OpenAI documentation + domestic and international large model evaluations. This is a collection of the industry's immediate reactions in the 6–12 months after the ChatGPT moment (2022-11).