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加密貨幣新聞文章

了解DeepSeek AI

2025/04/26 01:51

DeepSeek AI通過其負擔得起的高性能AI模型引起了波浪,這些模型正在改變行業。

了解DeepSeek AI

The name DeepSeek is quickly becoming a buzzword in both the AI and crypto spheres. A Chinese startup, DeepMind has managed to create high-performing AI models like DeepMind-R1 and DeepMind-V3 at a fraction of the cost of industry giants, making its technology accessible to a wider audience.

DeepSeek這個名字迅速成為AI和加密球體中的流行語。一家中國初創公司DeepMind設法以行業巨頭成本的一小部分創建了高性能的AI模型,例如DeepMind-R1和DeepMind-V3,這使得其技術可供更廣泛的受眾訪問。

However, this affordability has come at a price. As DeepMind's models are heating up the AI industry, the startup's name has been used by opportunistic actors to launch speculative crypto tokens.

但是,這種負擔能力是有代價的。隨著DeepMind的模型正在加熱AI行業,機會主義參與者使用了創業公司的名稱來推出投機性加密代幣。

These tokens, such as "DeepMind AI Agent" and "DeepMind AI," mainly on the Solana blockchain, have no official connection to the company, which has repeatedly stated that it's not involved in any cryptocurrency projects and that users should be aware of potential scams.

這些令牌,例如“ DeepMind AI Agent”和“ DeepMind AI”,主要是在Solana區塊鏈上,與公司沒有正式聯繫,該公司一再表示,它不涉及任何加密貨幣項目,並且用戶應該意識到潛在的騙局。

Despite this, the tokens have attracted thousands of traders and generated millions in trading volume, with some even skyrocketing 600% in a single day to reach a market cap of nearly $12 million.

儘管如此,代幣還是吸引了成千上萬的交易商,並產生了數百萬美元的交易量,其中有些甚至在一天之內甚至飆升了600%,達到了近1200萬美元的市值。

This wild chapter in the crypto market began as DeepMind's technology began to revolutionize the industry. The company's DeepMind-R1 model, which was open-sourced under the MIT license in January 2025, displayed capabilities on par with OpenAI's GPT-4 in tasks like coding and reasoning.

加密市場中的這個野生章節始於DeepMind的技術開始徹底改變該行業。該公司的DeepMind-R1車型於2025年1月根據MIT許可開放,在編碼和推理等任務中與OpenAI的GPT-4相當。

Moreover, DeepMind's models were trained at an incredibly low cost. While GPT-4 had a price tag of $100 million, DeepMind-R1 was trained for just $6 million.

此外,DeepMind的模型經過了令人難以置信的低成本培訓。儘管GPT-4的價格為1億美元,但DeepMind-R1的培訓僅為600萬美元。

This affordability, especially in comparison to the high-value cryptocurrencies like Bitcoin and Ethereum, sparked opportunistic actors to create and launch their own tokens bearing the DeepMind name.

這種負擔能力,尤其是與比特幣和以太坊等高價值加密貨幣相比,激發了機會主義行為者創建和啟動自己的代幣。

These tokens were then sold to traders on decentralized exchanges like FTX and Mango Markets, who were quickly drawn to the hype around DeepMind's AI breakthroughs.

然後,這些令牌被出售給交易者,例如FTX和芒果市場等分散的交易所,他們很快就被DeepMind的AI突破所吸引。

While some tokens like "DeepMind AI, Agent" managed to reach a peak market cap of $48 million, most of them quickly crashed after burning through the initial investors' funds.

儘管有些令牌像“ DeepMind AI”,Agent”設法達到了4,800萬美元的峰值市值,但其中大多數在最初的投資者資金中燃燒後迅速崩潰。

This rapid rise and fall also brought about a temporary dip in the prices of major cryptocurrencies like Bitcoin and XRP. As investors began to realize the implications of DeepMind's low-cost AI models, concerns arose about reduced demand for high-end computing hardware, which is used to power blockchain networks and crypto mining.

這種迅速的上升和下降也使比特幣和XRP等主要加密貨幣的價格暫時下降。隨著投資者開始意識到DeepMind的低成本AI模型的含義,人們擔心對高端計算硬件的需求減少,這用於為區塊鍊網絡和加密挖掘提供動力。

This, in turn, led to a decline in the value of Bitcoin, which briefly fell below $100,000, and XRP, which tested monthly lows, erasing $130 billion from the total crypto market value.

反過來,這導致比特幣的價值下降,該價值短暫低於100,000美元,而XRP測試了每月的低點,從加密貨幣的總價值中刪除了1300億美元。

"DeepMind's efficiency is a double-edged sword—it's great for AI but shakes up markets tied to computing power," a market analyst noted in a recent report.

一位市場分析師在最近的一份報告中指出:“ DeepMind的效率是一把雙刃劍,這對人工智能非常有用,但搖晃與計算能力相關的市場。”

This synergy is already being realized as platforms like Venice AI are integrating DeepMind's models into their blockchain solutions to ensure privacy and censorship resistance for generative AI.

隨著像威尼斯AI這樣的平台將DeepMind的模型集成到其區塊鏈解決方案中,以確保生成AI的隱私和審查阻力。

However, concerns about data privacy, especially given DeepMind's Chinese origins, have sparked debates about its use in sensitive blockchain applications.

但是,對數據隱私的擔憂,特別是考慮到DeepMind的中國起源,引發了有關其在敏感區塊鏈應用中使用的辯論。

Ultimately, this chapter in the cryptocurrency market serves as a cautionary tale for blockchain enthusiasts who are urged to verify the legitimacy of any project, especially those tied to trending names like DeepMind.

最終,加密貨幣市場的這一章是一個警告性的故事,對於敦促區塊鏈發燒友核實任何項目的合法性,尤其是與DeepMind這樣的趨勢名稱相關的項目的合法性。

With regulatory challenges also looming large, especially in the wake of the recent collapse of FTX, any blockchain projects using DeepMind's models will need to navigate these complexities to ensure compliance while pushing innovation.

隨著監管挑戰的範圍,尤其是在FTX最近崩潰之後,使用DeepMind模型的任何區塊鏈項目都需要導航這些複雜性,以確保在推動創新時合規。

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