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梁文峰：DeepSeek的幕后推手，数学天才，差点与汪滔一起创立大疆？本文译自Youtube，原标题：The Man Behind DeepSeek (Liang Wenfeng)You know whats funny these stories are kind of similar around the world. Its always exciting to be around at the start of the industry. Also china implemented ai into almost everything way before most countries did..thats why the ai progress will be faster in china..because what government promotes gets done exponentially fast there.有趣的是，这些故事在世界各地都很相似，能亲身参与这个行业的起步总是令人兴奋。此外，中国在大多数国家之前就将人工智能应用到了几乎所有领域……这就是为什么中国的人工智能发展会更快的原因，因为政府推动的事情在中国会以指数级的速度完成。
Mr. Liang is tech and math genius by any standard anyway in the world.无论用什么标准衡量，梁先生都是世界上的科技和数学天才。
Holy shit, this is an absolute beast. Grew up in a poor area, disrupted trillion dollar companies and has a level of conviction unheard of. He’s not after profits, he’s trying to enable access of technology to all to improve the world我靠，这绝对是一头猛兽。他在贫困地区长大，却颠覆了市值上万亿美元的公司，并拥有前所未闻的坚定信念。他追求的不是利润，而是让所有人都能利用技术改善世界。
You see, He didn't have to leave his country for opportunities, unlike others from around the world. This makes China different.你看，与世界上其他国家的人不同，他不必离开自己的国家去寻找机会，这让中国与众不同。
The fact that the Chinese hierarchy "doesn't even take these guys seriously" is a testament to how DEEP their bench is, if these guys are considered small fry then the US really doesn't stand a chance in this bullyboy game they've been playing中国高层“根本不把这些人当回事”，这足以证明他们的板凳有多深，如果这些人都被视为小虾米，那么美国在他们一直在玩的这场恶霸游戏中就真的没有机会了。
He is a legend on stock market history too. One man brought down the stock market by more than a trillion dollars.他也是股市史上的传奇人物，一个人就让美国股市跌去了一万多亿美元。
Only take one Chinese guy can shaking the US stock economic is unbelievable this week. China having 1.4b people.令人难以置信的是仅凭一个中国人就能撼动本周的美国股市经济，而中国有14亿人口。
For a long time, most of the Chinese math champions of the top 2 universities like Tsinghua and Beida went to the US and became engineers in silicon valley. Liang didn’t go to the top 2 universities, but he surpassed his peers of those schools.长期以来，清华、北大等中国顶尖院校的数学冠军大多去了美国，成了硅谷的工程师。梁文峰没有进入最顶尖的两所大学，但他超越了这些学校的同龄人。
Can you imagine not even being an AI guy, but developing an AI model as a side project that shook the entire US stock market? The massive irony of OpenAI being called "open" too你能想象自己根本不是人工智能专家，但却开发了一个人工智能模型作为副业，从而撼动了整个美国股市吗？OpenAI 被称为“开放的AI”也是个巨大的讽刺。
My guess is China has a lot of talented and very smart intelligent people like Liang WenFeng.Very impressive technology breakthrough with the "Reinforcement Learning".Now Liang Wenfeng is a legend in the tech world !我猜中国有很多像梁文峰这样才华横溢的聪明人。
他在“强化学习”方面的技术突破令人印象深刻。
现在，梁文峰已成为科技界的传奇人物！
The Chinese are very calm. There leaders are very calm. Nothing like they must be the leaders in AI in the motivation and encouragement given to the young ones.中国人很冷静，他们的领导人也非常冷静。在对年轻人的激励和鼓励方面，他们一定是人工智能领域的佼佼者。
@loopyzreal Liang is a good responsible capitalist. Sure he need funds for future and healthy development of deepseek with profit. He didn't charge an arm or leg for work of deepseek like openAI. This is his different between him and others AI startup.梁是一个负责任的好资本家。当然，他需要资金为DeepSeek的未来和健康发展提供利润，但他没有像OpenAI 那样对DeepSeek收取任何费用，这就是他与其他人工智能创业公司的不同之处。
Have you noticed, many Chinese tech CEOs in the headlines are quite young, whereas most CEOs in the U.S. tend to be much older.你有没有注意到很多上头条的中国科技公司的首席执行官都很年轻，而大多数美国首席执行官的年龄往往要大得多。
@Isaac_D_Huang , the Indians used to tell others that many multinational corporations CEOs are Indians. But they are not the founders or one who set up and established those multinational corporations. They are just hired to keep on corporations running whereby all the systems are in place and corporations are already well established already.印度人常跟别人说很多跨国公司的CEO都是印度人，但他们并不是这些跨国公司的创始人或建立者，他们只是被雇佣来维持公司的运转，因为所有的系统都已经就位，公司也已经建立得很好了。
We Indians are currently researching ancient interplanetary systems. India as a neighbour of China could have progressed just by competing with them but here we are researching cow dung .我们印度人目前正在研究古老的星际系统。作为中国的邻国，印度本可以在与中国的竞争中取得进步，但我们却在研究牛粪。
Why is just this Deepseek AI? I mean, why is this now a wakeup call for U.S. or the rest the world that they can build tech more efficiently and at a cheaper cost? Just look at their infrastructure. Everything of their is more efficient. I've been asking, people have been asking this for decades. They are building things at a faster rate, cars, roads, trains, rail roads. Why does it cost so much in North America to do things?为什么只有这个DeepSeek AI（做得更好）？我的意思是为什么现在他们可以以更低的成本更高效地构建技术？这对美国或世界其他国家来说是一个警钟。看看他们的基础设施就知道了，他们的一切都更加高效。几十年来，我一直在问，人们也一直在问。他们建造东西的速度更快，包括汽车、公路、火车、铁路。为什么在北美做事要花这么多钱？
Amazing. Jiang almost became the founder of DJI. The world loses a top drone engineer but gains one AI talent.了不起。梁差点成为大疆创新的创始人。虽然世界失去了一位顶级的无人机工程师，却得到了一位人工智能人才。
The things that stand out in this video is that unlike most other developing countries, China invested heavily into its own talent and industry. They also hire back all the capable and talented Chinese engineers who are working in top companies from around the world so that those engineers can invest in China and the fact that the company specifically looked for recent grads instead of experienced engineers also shows good foresight and an understanding of the difference between taking someone else talent as well as their baggage vs molding your own. Unlike most other CEO's the guy wasn't an MBA but like all the great companies of the past it was a person who specialized in the field and had a deep understanding.这段视频中最引人注目的一点是与大多数其他发展中国家不同，中国对本国的人才和产业进行了大量的投资。他们还聘请了所有在全球顶尖公司工作的有能力、有才华的中国工程师，以便这些工程师能在中国投资，而且该公司专门寻找应届毕业生而不是经验丰富的工程师，这也显示了良好的远见卓识以及对利用别人的才能和成果与塑造自己的才能和成果之间区别的理解。与其他大多数首席执行官不同的是他不是一个MBA，但与过去所有伟大的公司一样，他是一个专注于该领域并对此有深刻理解的人。
The big tech companies might have thought about it, but as someone else's comment put it, "money and greed" (and an astounding lack of pressure from the competition or all those big tech companies' rivals) may just be what led them to "operate" on a comfortable basis...and as a result of that along came Lian Wenfeng into the AI world scene ❤.It's a nice story! The narrative reinforces my fondness for tech due to the fact of it being almost always filled with unexpected discoveries大型科技公司也许想过这个问题，但正如有人评论的那样，“金钱和贪婪”（以及来自竞争对手或所有这些大型科技公司的对手的惊人的压力）可能只是导致他们“运作”得心安理得的原因......结果，梁文峰出现在了人工智能世界的舞台上。
这是个不错的故事！这个故事让我更加喜欢科技，因为它几乎总是充满了意想不到的发现。
China showed the world how ambition, hard work and dedication can beat the best ones. An absolute hero who bought revolution in AI industry中国向世界展示了雄心壮志、辛勤工作和敬业精神是如何战胜最优秀的人的，他是为人工智能行业带来革命的绝对的英雄。
In U.S., most of the tech ppl is from China and India. The computer / engineering background graduate each year maybe more than some counties’ population. I am so glad that China’s start up company provides such low cost AI system to the world. I prefer the world becomes better instead America great again.在美国，大多数技术人员都来自中国和印度，他们每年计算机/工程背景的毕业生可能比某些国家的人口还多。我很高兴中国的新公司能为世界提供如此低成本的人工智能系统。我更希望世界变得更好而不是美国再次伟大。
I understand your intentions are good, but I strongly disagree with this approach. It reflects the typical Western narrative of innovation, which falsely attributes groundbreaking work to a single individual. In China and many other parts of the world, such achievements are understood as collective efforts—the result of collaboration, shared knowledge, and the dedication of countless people over time.This myth of the "lone genius" is pervasive in Silicon Valley culture. Figures like Sam Altman, Elon Musk, or Steve Jobs are celebrated as inventors or visionaries, but their success is built on the labor, expertise, and creativity of entire teams. By idolizing individuals, we erase the contributions of engineers, researchers, and workers who pour their time and effort into making these innovations possible.This obsession with individualism distorts how progress actually happens. It’s not about one person’s brilliance; it’s about communities, institutions, and generations building on one another’s work. We need to shift the focus away from glorifying singular "heroes" and instead acknowledge the collective humanity behind every advancement.我知道你的初衷是好的，但我坚决不同意这种说法。它反映了典型的西方创新叙事，错误地将开创性的工作归功于某一个人。在中国和世界其他许多地方，这种成就被理解为集体努力的结果--合作、知识共享以及无数人长期奉献的结果。
这种“孤独天才”的神话在硅谷文化中无处不在。萨姆-奥特曼、埃隆-马斯克或史蒂夫-乔布斯等人被誉为发明家或远见卓识者，但他们的成功是建立在整个团队的劳动、专业知识和创造力之上的。通过将个人偶像化，我们抹杀了工程师、研究人员和工人为实现这些创新所付出的时间和努力。
这种对个人主义的迷恋扭曲了进步的实际发生过程。进步不是一个人的辉煌，而是社区、机构和几代人在彼此工作的基础上取得的。我们需要将焦点从歌颂单一的“英雄”转移到承认每项进步背后的集体人性上来。
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关键字：梁文峰,DEEPSEEK 专题：人物责任编辑：管理员
来源：https://www.youtube.com/watch?v=FMU0j_ly4kk
