中国的DeepSeek与美国人工智能的犯罪世界 — China’s DeepSeek and the Criminal World of American AI
第一部分——崛起 — Part 1 – The Emergence
译文：珍珠
人人都称赞DeepSeek — The Emergence of DeepSeek
DeepSeek的诞生 — DeepSeek’s Innovative Advantages
大家都感到惊讶 — Everybody was Surprised
一些坏消息——DeepSeek是一个“副业项目” — Some Bad News – DeepSeek was a “side project”
更多坏消息——股价 — More Bad News – Stock Prices
还有更坏的消息——DeepSeek是免费的 — Still More Bad News – DeepSeek is free
然而，还有更多坏消息——其他中国企业也在这么做 — Yet Still More Bad News – Other Chinese firms are doing this too
This is an essay in three parts. Most readers today are already familiar with the story of the emergence of DeepSeek so I won’t spend much time reiterating the event. This isn’t so much the story of DeepSeek as it is the revelation of the underlying circumstances of American AI development, details which the Western media have conveniently ignored and which no other writers seem to have noticed. This is also an essay documenting that our world is seldom as we imagine it to be. See Parts 2 and 3.
本文分为三个部分。如今，大多数读者已经对DeepSeek的诞生故事有所了解，因此我将不再赘述。本文的重点并非讲述DeepSeek的故事，而是揭示美国人工智能发展的潜在情况，这些细节被西方媒体有意忽略，似乎也没有其他作家注意到。本文还旨在证明，我们的世界很少如我们所想象的那样。请参阅第二部分和第三部分。
DeepSeek的诞生 — The Emergence of DeepSeek
An unknown Chinese company “ignited panic” in Silicon Valley (and the White House) after releasing a new AI model named DeepSeek that outperforms America’s best. In a recent article, Mike Whitney wrote that “DeepSeek is a nuclear bomb detonated in the heart of Silicon Valley.” He went on to say that it was a challenge (and is really a slap in the face) to the tech experts in the US who thought they were gods and that “their reign would last forever”. [1]
一家不知名的中国公司在发布了一款名为DeepSeek的新人工智能模型后，在硅谷（和白宫）引起了“恐慌”，该模型的表现优于美国最好的模型。迈克·惠特尼（Mike Whitney）在最近的一篇文章中写道：“DeepSeek就像一颗在硅谷心脏地带引爆的核弹。”他接着说，这对那些自认为是神、认为“他们的统治将永远持续下去”的美国技术专家来说是一个挑战（实际上是一记耳光）。 [1]
Why the “panic” and the “nuclear bomb” analogy?
为何使用“恐慌”和“核弹”的类比？
Why the “panic” and the “nuclear bomb” analogy? Well, mostly because American AI firms spent a decade or so, and hundreds of billions of dollars to develop their models using hundreds of thousands of the latest and most powerful Graphic Processing chips (GPUs) (at $40,000 each), while DeepSeek was built in only two months, for less than $6 million and with much less-powerful GPUs than the US firms used. DeepSeek uses 97% less power and cost 50 times less to run. And maybe the worst part was that they did it entirely with Chinese talent – no Americans necessary.
为何用“恐慌”和“核弹”来比喻？这主要是因为，美国的人工智能公司花费了大约十年时间，耗资数千亿美元，使用数十万块最新、最强大的图形处理芯片（GPU）（每块价值4万美元）来开发其模型，而DeepSeek仅用两个月时间就建成，耗资不到600万美元，且使用的GPU远不如美国公司所使用的强大。DeepSeek的能耗降低了97%，运行成本降低了50倍。也许最糟糕的是，他们完全依靠中国人才完成这一切——无需美国人参与。
Further, DeepSeek scored as high or higher than OpenAI’s o1 on a variety of third-party benchmarks. DeepSeek’s model outperformed Meta’s Llama 3.1, OpenAI’s ChatGPT-4o and Anthropic’s Claude Sonnet 3.5 in accuracy ranging from complex problem-solving to math and coding. To add insult to injury, DeepSeek quickly also released its Version r1, a reasoning model that also outperformed OpenAI’s latest and best o1 in nearly all tests. [2]
此外，在各种第三方基准测试中，DeepSeek的得分与OpenAI的o1相当或更高。在从复杂问题解决到数学和编程的准确性方面，DeepSeek模型的表现均优于Meta的Llama 3.1、OpenAI的ChatGPT-4o和Anthropic的Claude Sonnet 3.5。雪上加霜的是，DeepSeek还迅速发布了其r1版本，这是一款推理模型，在几乎所有测试中的表现都优于OpenAI最新且最优秀的o1。 [2]
Not only that, the American AI firms, with the exception of Facebook (Meta) considered their models “proprietary” and thus closed-source, meaning that users had to pay high or very high fees to use them. OpenAI’s o1, which is available only to paying ChatGPT subscribers of the Plus tier ($20 per month) and more expensive tiers (such as Pro at $200 per month), while enterprise users who want access to the full model must pay fees that can easily run to hundreds of thousands of dollars per year.
不仅如此，除了脸书（Meta）外，美国的人工智能公司都将其模型视为“专有”模型，因此是闭源的，这意味着用户必须支付高额或非常高的费用才能使用。OpenAI的o1仅对Plus级别（每月20美元）和更昂贵级别（如每月200美元的Pro级别）的付费ChatGPT订阅者开放，而想要访问完整模型的企业用户必须支付的费用每年可能轻易达到数十万美元。
But DeepSeek (all versions) was released as fully open source, which means anyone can download and use free of charge, and can also adapt and amend it for their own purposes. [3] This explains why DeepSeek quickly rocketed to the top of apps downloaded on both the Apple Store and on Google, which is a tremendous feat for a company that no one had even heard of a few days before.
但DeepSeek（所有版本）均以完全开源的形式发布，这意味着任何人都可以免费下载和使用，并可根据自己的需求进行改编和修改。[3] 这也解释了为何DeepSeek在苹果商店和谷歌商店的下载量迅速攀升至榜首，这对于一家几天前还无人知晓的公司来说，可谓是一项了不起的成就。
DeepSeek can produce AI models that are an order of magnitude more efficient than the current state of the art from OpenAI, Google, Anthropic, and others. “Even by the most cynical projections, it still cost them only a fraction of what others have spent. And it’s free.” Instead of paying OpenAI or Google $20 per month or $200, for their advanced models, you can use DeepSeek and get exactly the same level of results free.” [4]
DeepSeek可以生成比OpenAI、谷歌、Anthropic和其他公司的当前技术水平高效一个数量级的人工智能模型。“即使是最愤世嫉俗的预测，它的成本仍然只是其他人花费的一小部分。而且它是免费的。”你可以使用DeepSeek，免费获得完全相同水平的结果，而不是每月向OpenAI或谷歌支付20美元或200美元，购买他们的高级模型。”[4]
DeepSeek的创新优势 — DeepSeek’s Innovative Advantages
It is the difference between being taught a narrow range of things, and learning independently without restrictions.这是被教授范围狭窄的东西和不受限制地独立学习之间的区别。
DeepSeek surpasses OpenAI’s top model in math and software engineering. It doesn’t use the traditional “supervised learning” that the American models use, in which the model is given data and told how to solve problems. Instead, it uses what is called “reinforcement learning”, which is a brilliant approach that makes the model stumble around until it finds the correct solution and then “learns” from that process. It is the difference between being taught a narrow range of things, and learning independently without restrictions. This alone prompts experts to speculate that AI could evolve beyond human oversight.
DeepSeek超越了OpenAI在数学和软件工程方面的顶级模型。它没有使用美国模型使用的传统“监督学习”，在这种学习中，模型被赋予数据并被告知如何解决问题。相反，它使用了所谓的“强化学习”，这是一种出色的方法，可以让模型蹒跚而行，直到找到正确的解决方案，然后从这个过程中“学习”。这是被教授范围狭窄的东西和不受限制地独立学习之间的区别。仅此一点就促使专家推测，人工智能可能会超越人类的监督。
A great advantage of DeepSeek is that it is open-source, permitting everyone to use and adapt it to their own needs. Also, DeepSeek reveals its thinking which the American AI models refused to do, from a fear that others could use that information to build their own model. Now, nothing is classified; it is all in the open. [5] One of the most remarkable things about DeepSeek is that it can do what is called “chain of thought”, and it “explains” its reasoning, step by step in its responses. The program actually appears to “think through” the problems, and displays its reasoning processes which are remarkably human in appearance. [6] ChatGPT does this too, but nowhere as well. Also, DeepSeek can even be run on an ordinary computer. [7]
DeepSeek的一大优势是它是开源的，允许每个人使用它并根据自己的需求进行调整。此外，DeepSeek揭示了其想法，而美国人工智能模型拒绝这样做，因为担心其他人可能会利用这些信息来构建自己的模型。现在，没有什么是机密的；一切都是公开的。[5]DeepSeek最引人注目的一点是，它可以做所谓的“思维链”，并在响应中逐步“解释”其推理。该程序实际上似乎“思考”了问题，并展示了其推理过程，这些过程在外观上非常人性化。[6]ChatGPT也能做到这一点，但没有一个地方能做到。此外，DeepSeek甚至可以在普通计算机上运行。[7]
DeepSeek trained its LLM with a mind-boggling 670 billion parameters, but they didn’t “copy” that from OpenAI or anyone else. Partly, they used a very innovative programming approach called “Mixture of Experts”, programming various portions of the large model for specific tasks so that the entire huge model needn’t be accessed for every question on every topic. [8]
DeepSeek 使用令人难以置信的 6700 亿个参数训练其 LLM，但他们并没有从 OpenAI 或其他任何人那里 “复制 ”这些参数。部分原因是，他们采用了一种名为 “专家混合”（Mixture of Experts）的创新编程方法，针对特定任务对大型模型的不同部分进行编程，这样就不必针对每个主题的每个问题访问整个庞大的模型。[8]
To assist the “Mixture of Experts”, they created advanced algorithms that would break down tasks into small manageable bits, so that many things could be processed simultaneously. This kind of optimization requires serious technical expertise, because it isn’t just understanding the software, but also the intricacies of the hardware itself, making the process much faster and infinitely more efficient. And this is what sets DeepSeek apart from the others. DeepSeek looked for elegance and efficiency while the Americans were focused only on raw power.
为了帮助 “混合专家”，他们创造了先进的算法，将任务分解成易于管理的小块，这样就可以同时处理许多事情。这种优化需要非常专业的技术知识，因为这不仅仅是对软件的理解，还包括对硬件本身错综复杂的理解，从而使处理过程更快，效率无限提高。这正是 DeepSeek 与众不同之处。DeepSeek 追求的是优雅和高效，而美国人只关注原始动力。
But more than this, they actually re-programmed the GPUs to accommodate this process. This is speaking directly to the hardware itself. It is extremely efficient, but requires hugely more expertise to do it. Their abstract specifically mentions that the engineers at DeepSeek reconfigured the GPUs, dedicating parts of them to specific tasks. This is far beyond the abilities of most people, and no indication that the “experts” at OpenAI or Meta had the ability to do this. They actually re-designed how the data traffic flows within the GPU itself, which increased the efficiency by orders of magnitude.
但更重要的是，他们实际上重新编程了GPU以适应这一过程。这直接与硬件本身有关。它非常高效，但需要更多的专业知识。他们的摘要特别提到，DeepSeek的工程师重新配置了GPU，将部分GPU专用于特定任务。这远远超出了大多数人的能力，也没有迹象表明OpenAI或Meta的“专家”有能力做到这一点。他们实际上重新设计了GPU内部的数据流量流动方式，从而将效率提高了几个数量级。
大家都很惊讶 — Everybody was Surprised
The open-source availability of DeepSeek-R1, its high performance, and the fact that it seemingly “came out of nowhere” to challenge the former leader of generative AI, sent shockwaves throughout Silicon Valley and far beyond. Observers were unanimous in stating that this development was a total surprise, that no one in Silicon Valley or in the US government had any idea that China was doing anything significant in AI and uniformly believed the Chinese were “years behind” the US in development. They were suddenly faced with an accomplished fact; that Chinese researchers had produced an AI model that exceeded or matched the performance of the best that the US had produced, and was “cheaper, more accessible and more transparent.”
DeepSeek-R1 的开源性、高性能，以及它似乎 “横空出世 ”向生成式人工智能领域的前领导者发起挑战的事实，在整个硅谷内外掀起了轩然大波。观察家们一致认为，这一发展完全出乎意料，硅谷或美国政府中没有人知道中国在人工智能领域做了什么大事，并且一致认为中国多年来在发展方面一直 “落后于 ”美国。突然之间，他们面临着一个既成事实：中国研究人员开发出了一种人工智能模型，其性能超过或赶上了美国生产的最佳模型，而且’更便宜、更易获得、更透明'”。
The first huge surprise was the cost. An unknown Chinese lab produced a better product with an expense of little more than $5 million, while US firms had collectively spent literally hundreds of billions of dollars. People close to OpenAI’s management claim the company spent a staggering $540 million in 2022 training ChatGPT. Even worse (if things could be worse), the research firm SemiAnalysis said OpenAI is paying as much as $700,000 per day to keep ChatGPT servers up and running, just from the amount of computing resources it requires. [9]
第一个巨大的惊喜是成本。一家不知名的中国实验室以略高于500万美元的成本生产出了更好的产品，而美国公司总共花费了数千亿美元。接近OpenAI管理层的人士声称，该公司在2022年培训ChatGPT上花费了惊人的5.4亿美元。更糟糕的是（如果情况可能更糟的话），研究公司SemiAnalysis表示，OpenAI每天支付高达70万美元的费用来保持ChatGPT服务器的正常运行，仅从它所需的计算资源量来看。 [9]
Google’s 2024 expenditures alone were $51 billion. Microsoft put more than $13 billion into OpenAI, which investment may now be lost. The actual running cost is also extremely low. One Chinese AI CEO said, “If you want to build a new model, you can pay Open AI $4.40 per million tokens, or you can pay the Chinese firm only $0.10.” [10] AI users had three huge problems with OpenAI-o1: It was (a) too slow, (b) too expensive, and (c) lacked control for end user/reliance on OpenAI. DeepSeek R1 solved all of these. [11]
仅谷歌2024年的支出就达到510亿美元。微软向OpenAI投入了130多亿美元，这笔投资现在可能会损失。实际运行成本也极低。一位中国人工智能首席执行官说：“如果你想建立一个新模型，你可以向Open AI支付每百万代币4.40美元，或者你可以只向中国公司支付0.10美元。”[10]人工智能用户对OpenAI-o1有三个巨大的问题：（a）太慢，（b）太贵，（c）缺乏对最终用户的控制/对OpenAI的依赖。DeepSeek R1解决了所有这些问题。 [11]
一些坏消息——DeepSeek是一个“副项目” — Some Bad News – DeepSeek was a “side project”
One aspect of this development that almost no one seemed to notice was that DeepSeek was not an AI firm. The model was developed by the parent company High-Flyer, which is a quant company (a quantitative trading firm), a small hedge fund that uses mathematical and statistical models to develop stock trading strategies. In 2021 everyone laughed at DeepSeek’s founder, Liang WenFeng, spending millions on AI chips, calling it a “rich man’s hobby”, [12][13] assuming Liang was engaged in a pathetic attempt to enter the AI field. But he was instead using the AI chips to build a model for investment trading. Somewhere in that process, they realized they could use what they already had created to also produce a high-level AI model, so they did that. The truth is that DeepSeek was just a little side project by a small Chinese investment hedge fund. [14][15][16]
几乎没有人注意到这一发展的一个方面是DeepSeek不是一家人工智能公司。该模型由母公司High Flyer开发，High Flyer是一家量化公司（一家量化交易公司），一家使用数学和统计模型制定股票交易策略的小型对冲基金。2021年，每个人都嘲笑DeepSeek的创始人梁文峰在人工智能芯片上花费数百万美元，称其为“富人的爱好”，[12][13]认为梁文峰是在可悲地试图进入人工智能领域。但他转而使用人工智能芯片来构建投资交易模型。在这个过程的某个地方，他们意识到他们可以利用已经创建的东西来生成一个高级AI模型，所以他们这样做了。事实上，DeepSeek只是中国一家小型投资对冲基金的一个小项目。 [14][15][16]
更多坏消息-股价 — More Bad News – Stock Prices
The news from China about DeepSeek sent US tech stocks plummeting. Nvidia’s stock had the biggest single-day loss of any company in history, shedding around $600 million in value, and the entire US stock market lost more than $1 trillion – all this in only one day. Many AI and tech stocks were down by 10%, 15% and more, in all Western countries. The US dollar also dropped by 0.5% on the news. All because of the release of a Chinese chatbot. That’s not bad for a small Chinese company that no one had ever heard of.
来自中国的DeepSeek消息导致美国科技股暴跌。Nvidia的股票是历史上任何公司中单日跌幅最大的，市值下跌了约6亿美元，整个美国股市在一天内损失了1万亿美元以上。在所有西方国家，许多人工智能和科技股下跌了10%、15%甚至更多。消息传出后，美元也下跌了0.5%。这一切都是因为中国聊天机器人的发布。对于一家从未听说过的中国小公司来说，这并不坏。
“And all of this was from fear that a small Chinese company had developed a new AI model in only two months at a small fraction of the cost of the American versions which were infinitely more expensive and required a decade or more to create. This development has “thrown a wrench” into the entire works of the American Investment community.” [17][18] The assumption had always been that the US had an insurmountable lead in AI, which was going to be the “next industrial revolution”, and this potentially changes everything. The Americans obviously have no lead or advantage in AI, which has huge implications for not only investment markets but in geopolitical terms as well.
“所有这一切都是因为担心一家中国小公司在短短两个月内就开发出了一种新的人工智能模型，其成本只是美国版本的一小部分，而美国版本的成本要高得多，需要十年或更长时间才能创建。这一发展给美国投资界的整个工作带来了“麻烦”。”[17][18]人们一直认为，美国在人工智能领域处于不可逾越的领先地位，这将是“下一次工业革命”，这可能会改变一切。美国人在人工智能方面显然没有领先优势，这不仅对投资市场，而且对地缘政治也有巨大影响。
The large American AI firms led everyone to believe that AI required massive computing resources and expensive hardware, but DeepSeek proved this was not true. One result of this breakthrough was the realisation that tech stocks, not only the AI firms, but companies like Nvidia, were grossly overpriced, perhaps beginning a long-term slide in the stock values of all these companies. [19]
美国大型人工智能公司让每个人都相信，人工智能需要大量的计算资源和昂贵的硬件，但 DeepSeek 证明事实并非如此。这一突破带来的一个结果是，人们意识到科技股，不仅是人工智能公司，还有像 Nvidia 这样的公司，都被严重高估了，这或许会导致所有这些公司的股票价值开始长期下滑。[19]
Gary Marcus, US university professor and AI expert: “I think OpenAI is highly overvalued. I think we saw their business model blow up, with DeepSeek giving away for free what they wanted to charge for. Also, DeepSeek is much more open than OpenAI. I think a $157 billion valuation is difficult to justify when you’re losing $5 billion a year. And their product, the large language models, aren’t that reliable; we know that it hallucinates, makes stuff up, makes weird errors. We may see their valuation plummet. [20]
美国大学教授、人工智能专家加里·马库斯（Gary Marcus）：“我认为OpenAI被高估了。我认为我们看到他们的商业模式崩溃了，DeepSeek免费提供他们想收费的东西。此外，DeepSeeg比OpenAI开放得多。我认为，当你每年亏损50亿美元时，1570亿美元的估值很难证明是合理的。他们的产品，即大型语言模型，并不那么可靠；我们知道它会产生幻觉、编造东西、犯奇怪的错误。我们可能会看到他们的估值暴跌。[20]
更多坏消息–DeepSeek是免费的 — Still More Bad News – DeepSeek is Free
After all, if the free Chinese model can do the same job as well or better, why would you pay the American firms their very high prices for the same thing?
毕竟，如果免费的中国模式能做得一样好或更好，你为什么要为同样的事情向美国公司支付很高的价格？
“If you want to build powerful AI models, you need powerful AI chips, and those are made only by Nvidia at the moment. The US government prohibits Nvidia from selling those chips to Chinese firms, so the Chinese compensated by creating an infrastructure that made the training of these models extremely efficient. Thus, they needed less than 1/100th of the power to accomplish the same thing.” Moreover, the announcement of the Chinese model as “open source”, in other words, free, severely threatening the long-term value of the very expensive American models – which may depreciate to nearly zero. After all, if the free Chinese model can do the same job as well or better, why would you pay the American firms their very high prices for the same thing? [21]
“如果你想构建强大的AI模型，你需要强大的AI芯片，而这些芯片目前只有英伟达制造。美国政府禁止英伟达向中国公司出售这些芯片，因此中国人通过创建基础设施来补偿，使这些模型的培训非常高效。因此，他们只需要不到1/100的功率来完成同样的事情。”此外，中国模式宣布为“开源”，换句话说，是免费的，严重威胁到非常昂贵的美国模式的长期价值——这些模式可能会贬值到接近零。毕竟，如果免费的中国模式能做得一样好或更好，你为什么要为同样的事情向美国公司支付很高的价格？[21]
还有更多坏消息——其他中国公司也在这么做 — And Yet More Bad News – Other Chinese firms are doing this too
To make matters worse, another Chinese company, TikTok’s parent ByteDance, released a new AI reasoning model that also outperforms OpenAI’s o1 in key benchmark test. At the end of January, 2025, Alibaba released its new AI model Qwen 2.5, which is also sending shockwaves through Silicon Valley because it seems to be a much superior model to OpenAI’s best, and is apparently outperforming Meta’s Llama and all the other models on benchmark tests. Like DeepSeek, it is also very inexpensive to run. [22] Another Chinese startup named Moonshot has released its new Kimi, which is claims is on a par with AI’s best. [23]
更糟糕的是，另一家中国公司TikTok的母公司字节跳动发布了一种新的人工智能推理模型，该模型在关键基准测试中也优于OpenAI的o1。2025年1月底，阿里巴巴发布了其新的人工智能模型Qwen 2.5，这也在硅谷引起了轩然大波，因为它似乎比OpenAI的最佳模型要好得多，并且在基准测试中明显优于Meta的Llama和所有其他模型。与DeepSeek一样，它的运行成本也很低。[22]另一家名为Moonshot的中国初创公司发布了新的Kimi，据称它与人工智能的最佳产品不相上下。 [23]
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Mr. Romanoff’s writing has been translated into 34 languages and his articles posted on more than 150 foreign-language news and politics websites in more than 30 countries, as well as more than 100 English language platforms. Larry Romanoff is a retired management consultant and businessman. He has held senior executive positions in international consulting firms, and owned an international import-export business. He has been a visiting professor at Shanghai’s Fudan University, presenting case studies in international affairs to senior EMBA classes. Mr. Romanoff lives in Shanghai and is currently writing a series of ten books generally related to China and the West. He is one of the contributing authors to Cynthia McKinney’s new anthology ‘When China Sneezes’. (Chap. 2 — Dealing with Demons).
罗曼诺夫的文章已被翻译成34种语言，并在30多个国家的150多个外语新闻和政治网站以及100多个英语平台上发表。拉里·罗曼诺夫是一位退休的管理顾问和商人。他曾在国际咨询公司担任高级管理职务，并拥有国际进出口业务。他一直是上海复旦大学的客座教授，为高级EMBA课程提供国际事务案例研究。罗曼诺夫先生住在上海，目前正在写一系列与中国和西方有关的十本书。他是辛西娅·麦金尼（Cynthia McKinney）新选集《当中国打喷嚏》（When China Sneeze）的特约作者之一。（第二章——对付恶魔）。
His full archive can be seen at
他的完整文章库可以在以下看到
https://www.bluemoonofshanghai.com/ + https://www.moonofshanghai.com/
He can be contacted at:
他的联系方式：
2186604556@qq.com
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NOTES
[1] China’s DeepSeek AI Moves the Capital of Tech from Palo Alto to Hangzhou
https://www.unz.com/mwhitney/chinas-deepseek-ai-moves-the-capital-of-tech-from-palo-alto-to-hangzhou/
[2] How China’s new AI model DeepSeek is threatening U.S. dominance
https://www.cnbc.com/2025/01/24/how-chinas-new-ai-model-deepseek-is-threatening-us-dominance.html
[3] China’s DeepSeek AI Moves the Capital of Tech from Palo Alto to Hangzhou
https://www.unz.com/mwhitney/chinas-deepseek-ai-moves-the-capital-of-tech-from-palo-alto-to-hangzhou/
[4] US needs to rethink
https://www.douyin.com/video/7464877444583935232
[5] Reasoning
https://www.douyin.com/video/7464856751351844106
[6] Reasoning
https://www.douyin.com/video/7464155074827226380
[7] Tech CEOs sound alarm on ByteDance, DeepSeek breakthroughs
https://www.cnbc.com/video/2025/01/23/tech-ceos-sound-alarm-on-bytedance-deepseek-breakthroughs.html?
[8] Some good technical information
https://www.douyin.com/video/7465331936261573928
[9] OpenAI’s ChatGPT is costing the company a shocking amount of money
https://www.tweaktown.com/news/91375/openais-chatgpt-is-costing-the-company-shocking-amount-of-money/index.html
[10] Why China’s DeepSeek is putting America’s AI lead in jeopardy
https://www.cnbc.com/video/2025/01/24/why-chinas-deepseek-is-putting-americas-ai-lead-in-jeopardy.html?
[11] Why everyone in AI is freaking out about DeepSeek
[12] Everyone laughed
https://www.douyin.com/video/7464588677419633920
[13] Rich mans hobby
https://www.douyin.com/video/7464588677419633920
[14] Deep seek
https://www.douyin.com/video/7464679744240422203
[15] Deepseek was for trading
https://www.douyin.com/video/7464889768942390587
[16] Side project
https://www.douyin.com/video/7464585655260073274
[17] Selloff
https://www.douyin.com/video/7464758265059101964
[18] Stocks and dollar dropped;
https://www.douyin.com/video/7464647992138681612
[19] Deepseek
https://www.douyin.com/video/7464779585578650895
[20] Deepseek
https://www.douyin.com/video/7465040429461900580
[21] Deep seek
https://www.douyin.com/video/7464205121250020668
[22] Alibaba model
https://www.douyin.com/video/7465919508784450874
[22] More Chinese AI
https://www.douyin.com/video/7465590719005183295
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Copyright © Larry Romanoff, Blue Moon of Shanghai, Moon of Shanghai, 2025
