entity Updated 2026-08-06 Topics: Technology, Economics

Meng Yan / 孟岩

Meng Yan is one of the speakers in E43 张潇雨、孟岩对话许哲:没有更好的生活 and the conversation partner in E42 孟岩对话韦青:沉默的主角. In E43, he often asks the ordinary-investor version of Xu Zhe / 许哲’s more technical claims: if Nassim Taleb and professional tail-risk funds have already made these ideas public, why are they not easier to copy, and what should non-specialists do instead?

His main contribution is to connect Fat-Tail Risk to long-term index investing, cash reserves, and insurance. That keeps the episode from implying that every listener should trade options; instead, Passive Investing, Insurance Risk Transfer, and Investment Risk Management become ordinary-person ways to survive a fat-tail world.

In E42, Meng Yan moves the same ordinary-person translation role into technology and management. His questions and examples connect Wei Qing / 韦青’s engineering frames to company transparency, organizational mistakes, attention control, AI anxiety, platform pressure on workers, body practice, and the closing injunction to preserve human flavor rather than live like a machine.

In E44, Meng Yan becomes the subject as well as the interpreter. In conversation with Li Xiaobo / 李晓波, he explains 有知有行 / Youzhi Youxing through Financial Platform Incentives, Investor Suitability Friction, Investment For Better Life, founder governance, and the question of Knowing Enough. The episode also makes his life-practice vocabulary explicit: Benfen / 本分, As It Is Practice / 如其所是, and Rumination Vs Reflection become ways to talk about user responsibility, company restraint, and personal calm.

145.基金投顾值得信任吗? mentions Meng Yan in the context of Chinese investment creators or platforms whose long-term public communication can provide investor accompaniment. The source uses him and 有知有行 / Youzhi Youxing to show why trust in fund advisory may come from repeated explanation and behavior support, not only formal license status.

In E45, Meng Yan returns to the AI-era human question through Li Jigang / 李继刚. His role is again translational: he turns Li’s abstract frames around AI As Time Compression, AI Company Deep Well, Prompt As Intent Transmission, Wet-State Human Agency, and Water And Fire Education into ordinary questions about investing, hiring, body pacing, AI workflows, education, and how a person remains present when models absorb more brain work.

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