硅谷大佬齐聚“狼人杀”真人秀,亿万富翁上演权力博弈

marsbitPublished on 2026-06-08Last updated on 2026-06-08

Abstract

硅谷顶级投资机构Founders Fund推出真人秀节目《MAFIA》,召集了包括OpenAI创始人Sam Altman、Anduril创始人Palmer Luckey、Figma创始人Dylan Field、Signal创始人Moxie Marlinspike等在内的多位科技巨头及投资人,在旧金山传奇酒吧进行一场公开拍摄的“狼人杀”(黑手党)游戏。 节目旨在打破科技圈传统的标准化叙事模式,通过游戏中的高压决策和即兴互动,更真实地展现这些亿万富翁的思维模式与人格特质。游戏过程中,Sam Altman展现出冷静的分析能力,但过早的明确指控导致其被投票出局;Moxie Marlinspike则凭借一句话成功扭转集体推理框架。 Founders Fund此举被视为一场“人格显影实验”,也反映了硅谷权力阶层对“信息娱乐”(Infotainment)趋势的拥抱。在传统媒体式微的背景下,掌控流量、制造叙事和公开表演,正成为科技精英构建影响力的新方式。这场游戏中所体现的精密逻辑、快速决策和煽动性沟通,也正是他们在真实商业世界获得成功的核心能力。

撰文:叶桢

如果让你想象一场聚集了硅谷顶级权力人物的闭门聚会,你大概率会想到人工智能、芯片战争、机器人、国防科技或者下一代互联网。

毕竟,坐在房间里的可是OpenAI创始人Sam Altman、军工独角兽Anduril创始人Palmer Luckey、Figma创始人Dylan Field、Signal创始人Moxie Marlinspike,以及一批掌握着数千亿美元资本流向的投资人。

但最近发生在旧金山的一场聚会,却完全不是这样。

没有人讨论AI模型,也没有人聊融资和估值。相反,这群硅谷最聪明、最有权势的人围坐在一张圆桌旁,认真玩起了一场狼人杀。

准确地说,是美国版本的狼人杀——Mafia(黑手党游戏)。

更有意思的是,这并不是朋友之间的私人聚会,而是一档被正式拍摄、公开播出的真人秀节目。

节目名就叫《MAFIA》,出品方则是硅谷最传奇、也最具争议的风险投资机构之一Founders Fund。

Founders Fund或许不像红杉、高瓴那样耳熟能详,但如果提到它投资过的公司,人们会立刻意识到它的分量:Facebook、SpaceX、Palantir、Stripe、Airbnb、Anduril以及OpenAI,都曾出现在它的投资版图中。

这家由Peter Thiel等“PayPal黑帮”成员创立的投资机构,过去二十年几乎参与了硅谷最重要的几轮技术浪潮。而如今,它又做了一件看起来和投资毫无关系的事情——拍综艺。

当然,如果把《MAFIA》简单理解成一档科技圈真人秀,可能会低估Founders Fund的真实意图。

它更像是一场被包装成娱乐节目的公开实验。

一群亿万富翁,为什么沉迷狼人杀?

节目开场就很魔幻。

地点选在旧金山传奇酒吧Tosca Cafe,这里曾经留下过“PayPal Mafia”的经典合影。

(“PayPal Mafia”的经典合影,指的是一张在硅谷科技史上非常有名的团队合照,拍摄于PayPal早期核心成员聚会时期,后来被反复引用,用来象征这批人对后续硅谷创业生态的巨大影响)

而这一次坐在桌边的,则是新一代硅谷权力核心:

  • Sam Altman(OpenAI创始人兼CEO)
  • Palmer Luckey(Anduril Industries创始人)
  • Dylan Field(Figma联合创始人兼CEO)
  • Moxie Marlinspike(Signal联合创始人)
  • Bryan Johnson(“Don’t Die”计划发起人)
  • Trae Stephens(Founders Fund合伙人)
  • Ryan Petersen(Flexport创始人兼CEO)

如果把这些人的公司市值与影响力简单相加,这张桌子几乎可以被视为一个微型“全球科技经济体”。

但他们做的第一件事却是:闭眼、杀人、投票。

在Founders Fund市场负责人Mike Solana看来,这种看似荒诞的安排,其实是一种对传统VC内容形态的刻意反叛。

过去十几年,科技圈最常见的叙事方式,是创始人在播客里讲述标准化的人生故事:热爱编程、创业失败、改变世界。

听得多了,每个人都开始变得相似。

但狼人杀不一样。

它不会给你准备时间,也不会允许你包装叙事。

你必须在极短时间内判断他人的意图,并在信息严重不对称的情况下做出决策,而这种压力状态下呈现出来的行为模式,往往比任何采访都更接近真实人格。

于是,这场游戏本质上变成了一次“人格显影实验”。

Sam Altman像分析AI模型一样拆解每个人的发言逻辑;Palmer Luckey则延续了他一贯的戏谑风格,在游戏开始几分钟后就因为过于活跃成为众矢之的;而Signal创始人Moxie Marlinspike则上演了整场节目最精彩的一幕——他仅凭一句话,就成功改变了所有人的思考框架。

牌桌上的硅谷大佬

游戏从第一夜开始就迅速失控。

在Figma创始人Dylan Field被首轮“黑手党处决”之后,整个局势迅速进入信息真空,所有人开始依赖直觉与经验进行推理。

AI政策专家Ryan Beiermeister率先发难,质疑Trae Stephens与Bryan Johnson在听到死讯时反应过度,而生物黑客Josie Zayner则以“韩剧看多了”为Bryan辩护。

就在大家七嘴八舌时,Sam Altman开口了。他凭借极其冷静的防御和剖析能力,开始分析其他人的发言和辩解

当Signal创始人Moxie笃定地指控生物黑客Josie Zayner是黑手党时,Altman察觉到了异样:

“Moxie作为一个老玩家,冒着这么大的风险去指控一个新手,这很有意思......这种极其确定的发言方式,感觉非常‘黑手党’。Moxie,我觉得你最像黑手党。”

然而,这种明牌打法让他瞬间成了众矢之的。第三夜的举手投票中,Altman遗憾出局。

主持人宣布他被镇上的人“五马分尸”时,全场爆发出笑声。有人甚至补了一刀:“至少这证明他不是超级智能AI。”

信息娱乐时代的硅谷“新财富密码”

《MAFIA》真人秀在 YouTube 和 X 平台上线后,迅速在科技圈引发围观,第一期节目的播放量在短时间内轻松破万。

在传统媒体逐渐式微、部分谈话节目停播的背景下,硅谷的 VC 巨巨们正在高调接过内容创作的接力棒。从早期 a16z 对媒体矩阵的重金投入,到不久前 OpenAI 正式收购科技脱口秀 TBPN,再到如今 Founders Fund 亲自下场拍摄娱乐综艺,其背后的商业逻辑高度一致。

在这个被社交媒体重塑的现代社会中,走向权力和影响力的道路正越来越多地用“信息娱乐”(Infotainment)铺就。

无论是 Bryan Johnson 通过在网络上展示奇葩抗衰老日常来博取流量,还是马斯克依靠个人网红矩阵为商业帝国充值,硅谷的新一代精英们比任何人都清楚——在互联网时代,掌控流量、制造叙事、甚至在公开场合进行高明的表演,正在成为最核心的商业资本。

风投大佬们在这张长桌上虽然是在玩游戏,但他们展现出的精密防御、逻辑拆解、极具煽动性的口才,以及在缺乏足够信息时迅速做出的果断决策,恰恰就是让他们在真实商业世界里获得成功的底层基因。

Related Questions

Q文章描述的这场硅谷顶级人物的聚会,与人们通常预期的讨论主题有什么不同?

A这场聚会并没有讨论人工智能、芯片、融资等常见的硅谷话题,而是让这群最有权势的人围坐在一起玩起了狼人杀(美国版“Mafia”)游戏。

Q这档名为《MAFIA》的真人秀节目的出品方是谁?这家机构在硅谷投资领域有何重要地位?

A出品方是风险投资机构Founders Fund。它由“PayPal黑帮”成员创立,投资过Facebook、SpaceX、Palantir、Stripe、Airbnb、Anduril以及OpenAI等硅谷最重要的公司,在科技投资领域极具分量。

Q文章称这场狼人杀游戏是一场“人格显影实验”,其背后的逻辑是什么?

A因为在狼人杀游戏中,参与者必须在信息不对称的巨大压力下快速判断他人意图并做出决策,无法像接受采访那样有准备和包装的时间。这种状态下呈现出的行为模式和反应,被认为比任何标准化的采访都更接近其真实人格。

Q在节目中,Sam Altman(OpenAI创始人)在游戏中的分析风格和最终结局是怎样的?

ASam Altman在游戏中像分析AI模型一样冷静地拆解每个人的发言逻辑。他敏锐地指出了Signal创始人Moxie过于笃定的指控行为,并反指Moxie最像“黑手党”。但这种明牌打法使他成为众矢之的,在第三轮投票中被淘汰出局。

Q文章认为硅谷风投机构高调涉足内容创作(如拍综艺)背后的核心商业逻辑是什么?

A其背后的核心商业逻辑是掌控“信息娱乐”(Infotainment)。在社交媒体时代,流量、叙事能力和公开表演能力正成为最核心的商业资本。通过制造吸引人的内容,风投机构和科技精英们可以塑造影响力、吸引关注,这本身就是一种新的“财富密码”。

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While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

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What is AGENT S

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