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加密货币新闻

了解DeepSeek AI

2025/04/26 01:51

DeepSeek AI通过其负担得起的高性能AI模型引起了波浪,这些模型正在改变行业。

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这个名字迅速成为AI和加密球体中的流行语。一家中国初创公司DeepMind设法以行业巨头成本的一小部分创建了高性能的AI模型,例如DeepMind-R1和DeepMind-V3,这使得其技术可供更广泛的受众访问。

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,这种负担能力是有代价的。随着DeepMind的模型正在加热AI行业,机会主义参与者使用了创业公司的名称来推出投机性加密代币。

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.

这些令牌,例如“ DeepMind AI Agent”和“ DeepMind AI”,主要是在Solana区块链上,与公司没有正式联系,该公司一再表示,它不涉及任何加密货币项目,并且用户应该意识到潜在的骗局。

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.

尽管如此,代币还是吸引了成千上万的交易商,并产生了数百万美元的交易量,其中有些甚至在一天之内甚至飙升了600%,达到了近1200万美元的市值。

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.

加密市场中的这个野生章节始于DeepMind的技术开始彻底改变该行业。该公司的DeepMind-R1车型于2025年1月根据MIT许可开放,在编码和推理等任务中与OpenAI的GPT-4相当。

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的模型经过了令人难以置信的低成本培训。尽管GPT-4的价格为1亿美元,但DeepMind-R1的培训仅为600万美元。

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.

这种负担能力,尤其是与比特币和以太坊等高价值加密货币相比,激发了机会主义行为者创建和启动自己的代币。

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.

然后,这些令牌被出售给交易者,例如FTX和芒果市场等分散的交易所,他们很快就被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.

尽管有些令牌像“ DeepMind AI”,Agent”设法达到了4,800万美元的峰值市值,但其中大多数在最初的投资者资金中燃烧后迅速崩溃。

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.

这种迅速的上升和下降也使比特币和XRP等主要加密货币的价格暂时下降。随着投资者开始意识到DeepMind的低成本AI模型的含义,人们担心对高端计算硬件的需求减少,这用于为区块链网络和加密挖掘提供动力。

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.

反过来,这导致比特币的价值下降,该价值短暂低于100,000美元,而XRP测试了每月的低点,从加密货币的总价值中删除了1300亿美元。

"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.

一位市场分析师在最近的一份报告中指出:“ DeepMind的效率是一把双刃剑,这对人工智能非常有用,但摇晃与计算能力相关的市场。”

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.

随着像威尼斯AI这样的平台将DeepMind的模型集成到其区块链解决方案中,以确保生成AI的隐私和审查阻力。

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

但是,对数据隐私的担忧,特别是考虑到DeepMind的中国起源,引发了有关其在敏感区块链应用中使用的辩论。

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.

最终,加密货币市场的这一章是一个警告性的故事,对于敦促区块链发烧友核实任何项目的合法性,尤其是与DeepMind这样的趋势名称相关的项目的合法性。

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.

随着监管挑战的范围,尤其是在FTX最近崩溃之后,使用DeepMind模型的任何区块链项目都需要导航这些复杂性,以确保在推动创新时合规。

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