DeepSeek動搖了AI市場，挑戰了美國的統治地位，並為加密貨幣帶來了新的機會

DeepSeek的R1模型在全球範圍內發送了衝擊波，因為它能夠匹配Openai的O1-Mini等競爭對手的性能，同時使用較少的資源和更少的資金。

DeepSeek, a Chinese AI company, has made waves with the launch of its R1 model, which has raised questions about the cost-effectiveness of AI and its implications for the tech and crypto markets.

中國人工智能公司DeepSeek隨著其R1模型的推出而引起了轟動，該模型引發了有關AI的成本效益及其對技術和加密市場的影響的疑問。

DeepSeek’s success stems from its ability to build a competitive AI model without access to advanced U.S. chips. Despite U.S. sanctions banning the export of Nvidia’s top-tier H100 chips to China, DeepSeek found a way to work around this restriction by using the less powerful H800 chips instead.

DeepSeek的成功源於其在不訪問Advanced US芯片的情況下建立競爭性AI模型的能力。儘管美國製裁禁止出口NVIDIA的頂級H100芯片到中國，但DeepSeek通過使用較小的H800芯片而找到了一種解決這一限制的方法。

According to Artificial Analysis, DeepSeek delivers results that outperform even some of the leading AI models from Google, Meta, and Anthropic. This has led to concerns about whether the estimated $1 trillion AI investment over the next few years will yield sufficient returns.

根據人工分析，DeepSeek提供的結果甚至超過了Google，Meta和Anthropic的一些領先的AI模型。這引起了人們對未來幾年中大約1萬億美元的AI投資是否會產生足夠回報的擔憂。

Goldman Sachs had already warned as early as August 2024 that AI spending might be excessive, and DeepSeek’s ability to achieve such feats with minimal resources has now amplified those doubts.

高盛薩克斯（Goldman Sachs）早在2024年8月就已經警告說，AI支出可能會過高，而DeepSeek通過最少的資源實現此類壯舉的能力現已擴大了這些疑問。

Adding to the hype, DeepSeek’s founder, Liang Wenfeng, a hedge fund manager who started dabbling in AI as a hobby, has taken an unorthodox approach by offering DeepSeek’s assistant and underlying code for free.

DeepSeek的創始人Liang Wenfeng是對沖基金經理Liang Wenfeng，他開始作為業餘愛好涉足AI，他通過免費提供DeepSeek的助手和基本的代碼來採取非正統的方法。

This move starkly contrasts with Western competitors, who rely heavily on commercialization and paywalls to recoup their high development costs. Liang’s assertion that “AI should be affordable and accessible to everyone” positions DeepSeek as a disruptor not only in technology but also in business models.

這一舉動與西方競爭對手形成鮮明對比，西方競爭對手在很大程度上依靠商業化和付費牆來彌補其高發展成本。 Liang的斷言“ AI應該負擔得起，每個人都可以使用”職位，不僅在技術中，而且在商業模式中也是破壞者。

However, despite the hype, DeepSeek also faced a cyber-attack on its debut day, highlighting vulnerabilities in its infrastructure and raising questions about the company’s preparedness to scale.

然而，儘管大肆宣傳，DeepSeek在首次亮相的日子也面臨著網絡攻擊，突出了其基礎設施中的脆弱性，並提出了有關公司對規模縮小的準備的疑問。

One of the most pointed allegations comes from speculation that DeepSeek might not be fully transparent about its hardware capabilities. Elon Musk suggested that DeepSeek “obviously” possesses approximately 50,000 Nvidia H100 chips despite U.S. export controls that restrict their sale to China.

最尖銳的指控之一來自猜測DeepSeek可能對其硬件功能不完全透明。埃隆·馬斯克（Elon Musk）建議，儘管美國出口控制限制了他們向中國的銷售，但DeepSeek“顯然”擁有大約50,000個NVIDIA H100芯片。

Musk’s comment implies that DeepSeek may have circumvented these sanctions, either through undisclosed channels or by acquiring the chips before restrictions tightened.

馬斯克的評論表明，DeepSeek可能通過未公開的渠道或通過在限制加劇之前獲取芯片來規避這些制裁。

If true, this could undermine claims that the R1 model achieved its benchmarks using only the less capable H800 chips, which were explicitly designed as a downgraded alternative for the Chinese market.

如果是真的，這可能會破壞R1模型僅使用功能較低的H800芯片實現其基準，這些芯片是在中國市場上明確設計的。

Doubts also linger about the company’s reported development costs. ZaStocks, a financial commentator, highlighted the implausibility of building a large language model of DeepSeek’s calibre for just $5.6 million.

對公司報告的開發成本的懷疑也存在。財務評論員扎斯托克（Zastocks）強調了建立DeepSeek口徑大型語言模型的不可思議性，僅為560萬美元。

“You can’t even buy a beachfront home in California for $6,000,000, but apparently, the trustworthy CCP built a better LLM than Meta for that price,” he quipped, referencing China’s history of overpromising on technological advancements.

他打趣說：“您甚至不能以600萬美元的價格在加利福尼亞購買海濱房屋，但顯然，值得信賴的CCP以該價格建立了比Meta更好的LLM。”

DeepSeek.I’m not buying it. Yes, they have a great model but the cost just doesn’t add up.You can’t even buy a beach front home in California for $6,000,000 but apparently the trustworthy CCP built a better LLM than Meta for that price.China has a long history of lying…

deepseek.i不買它。是的，他們有一個很棒的模型，但成本並沒有加起來。您甚至無法以600萬美元的價格購買加利福尼亞的海灘前房，但顯然值得信賴的CCP以該價格以比Meta建立了更好的LLM。說謊的歷史…

ZaStocks also noted that U.S. tech companies like Meta and Google have historically admitted to overspending on AI to avoid falling behind. DeepSeek’s ability to match or outperform these firms with limited resources seems to defy this industry norm.

Zastocks還指出，像Meta和Google這樣的美國科技公司歷史上已經承認超支了AI，以避免落後。 DeepSeek匹配或​​超越這些資源有限的這些公司的能力似乎無視這一行業規範。

As ZaStocks put it, “There’s no shot they’d admit to the actual cost of this LLM because it wouldn’t add up with the limited technology they’re able to access (legally).”

正如扎斯托克（Zastock）所說，“他們沒有承認該LLM的實際成本，因為它不會加起來他們能夠訪問的有限技術（合法）。”

The unveiling of DeepSeek’s advanced AI capabilities, promising high performance with reduced hardware requirements, also raised questions about the sustainability of GPU-dependent industries, triggering a ripple effect of uncertainty.

DeepSeek高級AI功能的揭幕，有望通過減少硬件要求的高性能，也提出了有關GPU依賴行業可持續性的問題，從而引發了不確定性的連鎖反應。

Crypto mining firms bore the brunt of the fallout. Riot Platforms (RIOT), a leading Bitcoin miner, saw its shares plummet by 15.5% on Jan. 27, while Cipher Mining (CIFR), another key player in the sector, faced a sharper decline of 25%.

加密礦業公司首當其衝。領先的比特幣礦工Riot Platforms（Riot）在1月27日看到其股票下降了15.5％，而該行業的另一個關鍵參與者Cipher Mining（CIFR）面臨的幅度下降了25％。

The turbulence wasn’t confined to mining stocks. AI-focused crypto tokens, a niche but growing segment of the market, also faced a significant sell-off.

湍流不僅限於採礦股。以AI為重點的加密代幣（一個利基市場），但不斷增長的市場也面臨著大量的拋售。

Tokens like Render (RENDER), which facilitates decentralized GPU rendering, dropped 11% over the last seven days. Similarly, The Graph (GRT), a blockchain indexing protocol, and Artificial Superintelligence Alliance (FET), which integrates AI and blockchain to create autonomous agents, declined by 15% and 14%, respectively.

像渲染（渲染）這樣的代幣促進了分散的GPU渲染，在過去的七天中下降了11％。同樣，圖形（GRT），一個區塊鏈索引方案和人工超級智能聯盟（FET），該聯盟（FET）集成了AI和區塊鏈以創建自主藥物，分別下降了15％和14％。

The downturn in both crypto mining stocks and AI-focused tokens highlights their deep reliance on Nvidia’s GPUs, or graphics processing units, which are specialized chips designed for parallel processing.

加密礦業庫存和以AI為中心的代幣的低迷強調了它們對Nvidia的GPU或圖形處理單元的深厚依賴，這些芯片是專門用於並行處理的專業芯片。

GPUs are critical for handling the intensive computational tasks required in industries like cryptocurrency mining and AI. For example

GPU對於處理加密貨幣採礦和AI等行業所需的密集計算任務至關重要。例如