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AYi AI NotesUpdated Oct 27 21:49

Liang Wenfeng Debuts on Hurun Rich List at No. 7 with 280 Billion Yuan Fortune

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DeepSeek founder Liang Wenfeng debuted on the Hurun Rich List at No. 7 nationwide, with personal wealth of 280 billion yuan, making him the top newcomer on this year's list; DeepSeek alone has produced four top billionaires. At a closed-door investor meeting, he said AI may in the future account for more than 10% of humanity's overall GDP, and that to pursue AGI one must learn restraint and share underlying value with the ecosystem. Sources say he is shuttling between Beijing and Hangzhou, cramming on robotics and real-world interaction, and considering entering the embodied intelligence track.

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It was only after I finished reading the Weibo posts Liang Wenfeng wrote at age 26 that I understood: DeepSeek's success has nothing whatsoever to do with its technical approach. At 26, Liang Wenfeng drove a Fiat alone into the Ali no-man's-land in Tibet. He went 400 kilometers deep, was stranded for a week, he walked out, the car stayed there forever. Twelve years later he built DeepSeek; if you'd read this story, you wouldn't be surprised at all. At the end of 2011, he drove a beat-up Fiat to Tibet. His companions reached Lhasa, had their fun, and flew back. He didn't go back. Alone he kept heading west—Yamdrok Lake, Everest, Shishapangma—all the way 400 kilometers into the Ali no-man's-land. He used an entry-level Nikon D50 with a kit lens, but he could wait half a day just for a beam of light, and the photos he took looked like a professional photographer's. The captions read "The wind sighs and the Yi River runs cold," "On the ancient road, the west wind, a lean horse," "One rider traverses the world." The last Weibo post: Stranded in the no-man's-land for a week; fortunately I got out. But my Fiat didn't. It stays forever in that boundless alpine grassland. That's the END. That's the whole story, and when we look back at DeepSeek, it's all the same person playing the same game. Others turn back once they reach Lhasa; he goes another 400 kilometers in alone. Doesn't that look like now? Everyone is building applications, chasing commercialization, doing things that can be monetized quickly, while he goes it alone inward, building foundation models, pursuing AGI, not raising funds for a long time, not socializing, not showing up at all kinds of conferences. An entry-level camera, but waiting half a day for the light, capturing the best shot— doesn't that look like DeepSeek? No piling up resources, no burning cash, but pushing efficiency to the extreme, achieving something rivaling others at one-tenth the cost. The car was left in the no-man's-land, the man walked out, and wrote "That's the END." Doesn't that look like his style? Dare to bet, dare to lose, accept the loss, then keep going. Open source is open source, sanctioned is sanctioned, release the model and release it; the car is gone but the man is out, and next trip he'll go again. Everyone is analyzing DeepSeek's technical approach, cost structure, and national-luck backing, but look at what this man did at 26—the answer is all there. A man who dares to drive alone 400 kilometers into a no-man's-land won't follow behind others when running a company. A man who left his car on the plateau, walked out, and could still write "That's the END" won't care about short-term stock prices and funding news. A man who waits half a day for light with an entry-level camera will squeeze every bit of compute power when building models. So none of this is some business strategy; this is one person's character. DeepSeek is not the result of a business plan; it is one person's nature, naturally grown out twelve years later. That young man who walked for a week in the no-man's-land and the man who has turned the global AI industry upside down are the same person—and always have been.

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我翻完梁文锋26岁写的微博才明白DeepSeek的成功,跟技术路线半毛钱关系都没有。 梁文锋26岁那年,一个人开着菲亚特进了西藏阿里无人区。 深入400公里, 被困了一周, 人走出来了, 车永远留在了那里。 12年后他做了DeepSeek, 你要是读过这个故事,就一点都不意外。 2011年底,他开一辆破菲亚特去西藏, 同行的人到了拉萨玩完就飞回去了, 他没回。 一个人继续往西,羊卓雍措,珠峰,希夏邦马,一直扎进阿里无人区400公里。 用的是入门级尼康D50,套头, 但他能等大半天就为了一束光, 拍出来的照片像专业摄影师的。 配文写的是"风萧萧兮易水寒",写的是"古道西风瘦马",写的是"一骑走天下"。 最后一条微博: 被困无人区一个星期,所幸我出来了。但我的菲亚特没有出来。它永远地留在了那片漫无边际的高山草原。That's the END。 就这么个事, 我们回头看DeepSeek,全是同一个人的同一个打法。 别人到拉萨就回去了, 他一个人再往里走400公里。 像不像现在? 大家都在做应用、做商业化、做能快速变现的事情, 他一个人往里走,做基础模型,做AGI,很长时间都不融资,不社交,不出来参加各种大会。 入门级相机,但等半天光线,拍到最好, 像不像DeepSeek? 不堆资源,不烧钱,但把效率做到极致,用别人十分之一的成本做出匹敌的东西。 车扔在无人区了,人走出来了,写一句That's the END。 像不像他的风格? 敢赌,敢输,输了认,然后继续走。 开源就开源,被制裁就被制裁,模型放出去就放出去,车没了但人出来了,下一趟再来。 所有人都在分析DeepSeek的技术路线、成本结构、国运加持, 但你看看这个人26岁干的事,答案全在那。 一个敢独自把车开进无人区400公里的人,他做公司就不会跟在别人后面。 一个把车扔在高原走出来还能写That's the END的人,他不会在乎短期股价和融资新闻。 一个用入门相机等半天光线的人,他做模型就会把每一分算力都榨干。 所以这些都不是什么商业策略, 这就是一个人的性格, DeepSeek不是一份商业计划书的结果, 是一个人的本性,在12年后,自然长出来的东西。 那个在无人区里走了一周的年轻人,和那个把全球AI行业搅翻天的人,是同一个人,一直以来都是。

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Breaking: The code is given away entirely for free, yet in less than three years he has built up 280 billion in wealth. Today the Hurun Rich List was released, and DeepSeek founder Liang Wenfeng, appearing on the list for the first time, shot straight into the national top seven. Good grief—a geek who rents an apartment in Beijing and rarely appears in public has completely overturned the decades-old profit logic of traditional business.

The Hurun Rich List released its latest 2026 rankings today, and the most eye-catching name is DeepSeek founder Liang Wenfeng, who on his first appearance shot straight into the national top seven. With personal wealth of 280 billion yuan, he took the title of the year's top newcomer on the rich list, and DeepSeek alone directly produced four top-tier billionaires. In all of our established common sense, a wealth explosion is usually accompanied by high-profile commercialization, intensive media exposure and frenzied capital operations.

But the contrast Liang Wenfeng has torn open has shattered almost every inertial assumption in the history of domestic business: a geek whose public appearances across the entire internet can be counted on one hand, who still rents in Beijing and whose room has no extra decoration whatsoever,

by fully open-sourcing the world's most advanced model code, has created nearly 300 billion in personal wealth in less than three years.

Many people still cannot figure it out: the code has been open-sourced for free, the weights have been given away to the whole world for nothing—so where on earth did this 280 billion come from?

At this year's closed-door investor meeting, Liang Wenfeng personally laid out his counterintuitive calculus on business and open source: traditional software logic always assumes that open source and commercialization are irreconcilable contradictions,

but AI's scale is vast enough that in the future it may even account for more than 10% of humanity's overall GDP. Faced with such a terrifyingly huge pie, no single company can monopolize it on its own.

He left behind a harsh line that everyone building large models and running businesses should engrave in their minds: if you truly want to achieve artificial general intelligence (AGI), you must learn restraint.

If from the very start you are calculating how many percent of humanity's GDP you can swallow all for yourself, the more you think that way, the less likely you are to succeed.

In other words, the more you understand restraint, the more willing you are to share underlying value with the ecosystem, the more likely you are to secure the largest foundation stone in the industrial edifice of the future.

In the past, becoming the richest person in tech depended on using patents and moats to pen users tightly inside your own garden, terrified that others might understand a single line of code.

Today Liang Wenfeng's ascent to the top has completely changed the logic of the era: the greatest barrier is not blockade, but building trust in an infinitely expanding market through absolute technological leadership and goodwill toward the world.

Whoever can smash through the threshold of computing power and intelligence for the whole of civilization will be pushed onto the highest throne by the world's capital and ecosystems.

People familiar with the matter also revealed that this newly minted billionaire currently pays no attention at all to the numbers on the list; all his energy is being spent shuttling intensively between Beijing and Hangzhou, even cramming on robotics and real-world interaction, and considering a full-scale charge into the embodied intelligence track.

Mediocre businessmen spend all day thinking about how to defend their existing turf, while truly ferocious geeks, even as they scatter yesterday's technological fruits freely across the world, are already racing toward the battlefield of the next physical reality.

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