Fortune | FORTUNE 09月20日
AI浪潮下,28岁亿万富翁Alex Wang的“Vibe Coding”建议
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28岁的Alex Wang,作为世界上最年轻的白手起家亿万富翁,正引领Meta一项雄心勃勃的AI项目。他认为,在AI迅速发展的时代,传统编程技能将迅速过时,而“Vibe Coding”——即通过自然语言与AI交互生成代码——将成为核心竞争力。Wang鼓励年轻人,特别是Gen Alpha一代,应将大量时间投入到学习和实践AI工具的使用上,而非沉迷于传统爱好。他将当前视为一个巨大的技术转折点,就像PC革命初期一样,早期掌握AI工具的人将在未来的经济中获得显著优势。Meta正致力于构建支持超智能所需的基础设施和硬件,如智能眼镜,旨在实现数字与认知的深度融合。

💡 **AI时代的编程范式转变:** Alexandr Wang强调,随着AI模型生成代码能力的提升,传统编程的语法和语言学习将变得次要。他提出的“Vibe Coding”是一种新的编程方式,核心在于通过自然语言与AI工具交互,引导AI生成所需的代码和原型。这种转变要求工程师掌握的是与AI协作的能力,而非单纯的编码技巧。

🚀 **“Vibe Coding”的巨大优势:** Wang认为,在当前技术快速迭代的环境下,投入时间深入探索和熟练使用AI工具,能带来巨大的竞争优势。他将此比作PC革命初期,早期接触和掌握新技术的人获得了先发优势。对于青少年而言,拥有更多的时间和自由去沉浸式学习AI工具,将是在未来经济中取得成功的关键。

🏢 **Meta的超智能宏图:** Wang透露,Meta正投入巨资构建支持超大规模AI计算的基础设施,并组建了一支高度精炼的AI团队,专注于研究、产品和基础设施三大支柱。其目标是实现“超智能”,并借助如智能眼镜等创新硬件,将AI无缝融入人类感官和认知,实现“认知增强”的效果。

⏳ **抓住“代际时刻”:** Wang将当前AI发展视为一个“代际时刻”(generational moment),一个技术上的“不连续性”时期。他建议13岁的孩子就应该开始“Vibe Coding”,通过大量的实践来培养直觉和对AI工具的掌控力,为未来的经济竞争打下基础。这标志着工程师角色的根本性演变。

Alexandr Wang — who became the world’s youngest self-made billionaire at 24 — is now, at 28, running one of the most ambitious AI efforts in Silicon Valley. In his first 60 days at Meta, he built a 100-person lab he described to TBPN hosts John Coogan and Jordi Hayes as “smaller and more talent dense than any of the other labs.” 

His goal: nothing less than superintelligence.

Wang, with his aerial view of the industry, has advice for kids, especially those in Gen Alpha now entering middle school: Forget gaming, sports, or traditional after-school hobbies. 

“If you are like 13 years old, you should spend all of your time vibe coding,” he said in his recent TBPN interview. “That’s how you should live your life.”

A generational moment

For Wang, the reasoning is simple. Every engineer, himself included, is now writing code that he believes will be obsolete within five years.

“Literally all the code I’ve written in my life will be replaced by what will be produced by an AI model,” he said.

That realization has left him, in his words, “radicalized by AI coding.” What matters most now isn’t syntax, or learning a particular language, but time spent experimenting with and steering AI tools.

“It’s actually an incredible moment of discontinuity,” Wang said. “If you just happen to spend 10,000 hours playing with the tools and figuring out how to use them better than other people, that’s a huge advantage.”

Teenagers have a clear advantage over adults: time and freedom to immerse themselves in new technology. And while in the past, entrepreneurial teenagers leveraged this time to be “sneaker flippers” or run Minecraft servers, Wang says the focus should now be on the code.

He compares the moment to the dawn of the PC revolution. The Bill Gateses and Mark Zuckerbergs of the world had an “immense advantage” simply because they grew up tinkering with the earliest machines. 

“That moment is happening right now,” Wang said. “And the people who spend the most time with it will have the edge in the future economy.”

Building for superintelligence

Wang isn’t coy about Meta’s ambitions. He calls the company’s infrastructure, scale, and product distribution unmatched. 

“We have the business model to support building literally hundreds of billions of dollars of compute,” he said.

His team, just over 100 people, is deliberately designed to be “smaller and more talent dense” than rivals. “The other labs are like 10 times bigger,” Wang said, but their lab had “cracked” coders. 

The lab is split into three pillars: research, product, and infrastructure. Research builds the models Wang says will “ultimately be superintelligent.” Product ensures they get distributed across billions of users through Meta’s platforms. And infrastructure focuses on what he calls “literally the largest data centers in the world.”

Wang is particularly excited about hardware. Like many Meta executives now, he points to the company’s new smart glasses, which had a hilariously foppish demo, as the “natural delivery mechanism for superintelligence.”

Placed right next to the human senses, they will merge digital perception with cognition.

“It will literally feel like cognitive enhancement,” Wang said. “You will gain 100 IQ points by having your superintelligence right next to you.”

Why vibe coding matters

Vibe coding is the shorthand for this shift: using natural language prompts to generate and iterate on code. Rather than writing complex syntax, users describe their intent, and AI produces functioning prototypes.

The concept is spreading across Silicon Valley’s C-suites. Klarna CEO Sebastian Siemiatkowski has said he can now test ideas in 20 minutes, instead of burning weeks of engineering cycles. Google CEO Sundar Pichai revealed that AI already generates more than 30% of new code at the company, calling it the biggest leap in software creation in 25 years.

Wang takes that further. For him, vibe coding isn’t just a productivity hack, but a future cultural mandate. What matters isn’t the code itself — it’s the hours of intuition-building that come from pushing AI tools to their limits, which is why he urges Gen Alpha to start early.

“The role of an engineer is just very different now than it was before,” he said. 

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Alexandr Wang AI Vibe Coding Meta Superintelligence Gen Alpha Future of Work 人工智能 超智能 元宇宙 科技趋势
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