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尽管 Nvidia 的 NNVDA 最近的会议激发了传统市场人工智能股票的看涨情绪,但人工智能 AAI 加密代币未能实现其 2024 年的崇高目标。
Artificial intelligence (AI) tokens, which surged last year on anticipation of AI becoming a major theme for 2024, are yet to live up to their lofty goals.
人工智能 (AI) 代币去年因预期人工智能成为 2024 年的主要主题而飙升,但尚未实现其崇高目标。
Last March, a surge in interest ahead of Nvidia's annual conference saw the NEAR token clock double-digit gains, a move that was mirrored across the broader crypto AI market. Fetch.ai (FET), the graph (GRT) and singularityNET (AGIX) all posted strong gains to the upside in unison with the conference.
去年 3 月,在 Nvidia 年度会议之前,人们的兴趣激增,NEAR 代币出现了两位数的涨幅,这一举措也反映在了更广泛的加密 AI 市场上。 Fetch.ai (FET)、Graph (GRT) 和 SingleityNET (AGIX) 均与会议同步强劲上涨。
This year, however, AI tokens have shown their fragility. NEAR is down more than 8% in the past 24 hours, while FET slid nearly 9%. NVDA, in contrast, started the year trading at $133 and rose by 15% to $153 on Monday as the conference commenced.
然而今年,人工智能代币却显示出了其脆弱性。 NEAR 在过去 24 小时内下跌超过 8%,而 FET 则下跌近 9%。相比之下,NVDA 年初的交易价格为 133 美元,并在周一会议开始时上涨 15% 至 153 美元。
There are several potential reasons why AI tokens are no longer garnering the attention they once did. One is the emergence of AI agent tokens, which share some similarities with memecoins in their volatility and cult-like followings. Investors are more likely to trade these tokens, as they have the potential for triple- or quadruple-digit gains compared to regular AI tokens, which are harder to move due to their larger market caps. Like memecoins, AI agent tokens also have the potential for deeper losses.
人工智能代币不再像以前那样受到关注,有几个潜在的原因。一是人工智能代理代币的出现,它与模因币在波动性和狂热追随者方面有一些相似之处。投资者更有可能交易这些代币,因为与常规人工智能代币相比,它们有可能获得三位数或四位数的收益,而常规人工智能代币由于市值较大而更难移动。与模因币一样,人工智能代理代币也有可能造成更大的损失。
Another reason is simply a lack of interest; Google search trends show that searches for "NEAR token" and "Fetch.ai" are down 47% and 84%, respectively, since March.
另一个原因就是缺乏兴趣。谷歌搜索趋势显示,自 3 月份以来,“NEAR token”和“Fetch.ai”的搜索量分别下降了 47% 和 84%。
The fall from grace is hardly surprising, as the crypto market is known to be fickle and has a habit of punishing sectors that rise rapidly in a speculative manner. Last year's rally was just that: people piled into AI tokens because they thought it would be the primary narrative of the crypto bull market, but instead it was Bitcoin that stole the show with tens of billions of dollars in ETF inflows and bullish sentiment around Donald Trump's presidential victory.
失宠并不令人意外,因为众所周知,加密货币市场变化无常,并且习惯于以投机方式惩罚快速崛起的行业。去年的反弹就是这样的:人们纷纷买入人工智能代币,因为他们认为这将是加密货币牛市的主要叙述,但相反,比特币以数百亿美元的 ETF 流入和唐纳德周围的看涨情绪抢尽了风头。特朗普的总统胜利。
AI tokens are still in their early days, however. Few mainstream crypto AI projects were used by the masses, as many of the products are still being built out. Nvidia, meanwhile, announced a $3,000 mini supercomputer called Digits, which will be available to purchase in May.
然而,人工智能代币仍处于早期阶段。主流的加密人工智能项目很少被大众使用,因为许多产品仍在构建中。与此同时,Nvidia 宣布推出一款名为 Digits 的售价 3,000 美元的迷你超级计算机,将于 5 月上市。
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