entity Updated 2026-07-09 Tags: Person, Investing, Podcasting, Ai

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.

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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