儘管 Nvidia 的會議激發了看漲情緒，但 AI 加密代幣未能實現 2024 年的崇高目標

儘管 Nvidia 的 NNVDA 最近的會議激發了傳統市場人工智慧股票的看漲情緒，但人工智慧 AAI 加密代幣未能實現其 2024 年的崇高目標。

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.

人工智慧 (AI) 代幣去年因預期人工智慧成為 2024 年的主要主題而飆升，但尚未實現其崇高目標。

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 年度會議之前，人們的興趣激增，NEAR 代幣出現了兩位數的漲幅，這一舉措也反映在了更廣泛的加密 AI 市場上。 Fetch.ai (FET)、Graph (GRT) 和 SingleityNET (AGIX) 皆與會議同步強勁上漲。

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，人工智慧代幣卻展現出了其脆弱性。 NEAR 在過去 24 小時內下跌超過 8%，而 FET 則下跌近 9%。相比之下，NVDA 年初的交易價格為 133 美元，並在周一會議開始時上漲 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.

人工智慧代幣不再像以前那樣受到關注，有幾個潛在的原因。一是人工智慧代理代幣的出現，它與迷因幣在波動性和狂熱追隨者方面有一些相似之處。投資者更有可能交易這些代幣，因為與常規人工智慧代幣相比，它們有可能獲得三位數或四位數的收益，而常規人工智慧代幣由於市值較大而更難移動。與迷因幣一樣，人工智慧代理代幣也有可能造成更大的損失。

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.

另一個原因就是缺乏興趣。谷歌搜尋趨勢顯示，自 3 月以來，「NEAR token」和「Fetch.ai」的搜尋量分別下降了 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.

失寵並不令人意外，因為眾所周知，加密貨幣市場變化無常，並且習慣於以投機方式懲罰快速崛起的行業。去年的反彈就是這樣的：人們紛紛買入人工智慧代幣，因為他們認為這將是加密貨幣牛市的主要敘述，但相反，比特幣以數百億美元的ETF 流入和唐納德周圍的看漲情緒搶盡了風頭。

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，人工智慧代幣仍處於早期階段。主流的加密人工智慧專案很少被大眾使用，因為許多產品仍在建構中。同時，Nvidia 宣布推出一款名為 Digits 的售價 3,000 美元的迷你超級計算機，將於 5 月上市。