Tao通過社交活動排名AI加密項目的名單，因為對部門的興趣

Phoenix Group和Lunarcrush的最新統計數據揭示了基於社交媒體平台的提及和參與後的AI Crypto項目列表。

Phoenix Group and LunarCrush's latest data reveals a list of top AI crypto projects based on their mentions and post engagement on social media platforms. Here's a snapshot of the rankings within a single day:

Phoenix Group和Lunarcrush的最新數據根據社交媒體平台上的提及和訂婚，揭示了頂級AI加密項目的清單。這是一天之內排名的快照：

TAO leads the pack with 5.9K engaged posts and a whopping 2.5 million interactions, making it the most talked-about AI crypto project. Other projects include $FET and $INJ with 5.3K engaged posts and 4.9k but varying in interactions where $FET recorded 1.2 million interactions, and $INJ recorded 1.0 million interactions. Next came $RENDER and $AIXBT with 4.0K and 3.3K engaged posts and 1.2M and 1.0 Interaction respectively.

陶以5.9k參與的帖子和高達250萬的互動率領先，這使其成為AI最容易受訪的AI加密項目。其他項目包括$ FET和$ ING，具有5.3K參與的職位和4.9k，但在相互作用中有所不同，其中$ FET記錄了120萬次互動，$ ING記錄了1000萬次互動。接下來是$渲染和$ AIXBT，分別為4.0k和3.3k參與的帖子以及120萬和1.0互動。

Amongst Noteworthy AI Tokens: $VRA, $NEAR, and $ROSE

在值得注意的AI代幣中：$ vra，$附近和$ rose

Continuing in the ranks are $VRA and $NEAR with 3.4K and 3.0K engaged posts in the community, respectively. The social interactions for these projects were 841.5K and 854.1K, respectively. The $ROSE token, which is powered by artificial intelligence, had 2.8K posts with 509.4K interactions which demonstrates continuing interest in its progress.

在社區中，持續晉升為$ vra和$ $，靠近3.4k和3.0k參與的職位。這些項目的社交互動分別為841.5k和854.1k。由人工智能提供支持的$玫瑰代幣具有2.8K的帖子，並具有5​​09.4K互動，表現出對其進步的持續興趣。

$QUBIC and $PAAL follow the list with 1.9k engaged posts, with total interaction rates above 500k and 415.5k, respectively. These numbers show that even relatively tiny AI ventures continue to be socially engaged, thus bolstering the expansion of AI blockchain systems.

$ Qubic和$ paal遵循1.9k參與帖子的列表，總交互率分別超過500k和415.5k。這些數字表明，即使是相對小的AI冒險活動仍然在社會上參與其中，從而加強了AI區塊鏈系統的擴展。

High Social Engagement Signals Market Interest

高社會參與信號市場興趣

The high traffic levels on AI-related cryptocurrencies indicate that more people are interested in the sector. The projects mentioned above are being posted on different social media platforms where they receive likes, comments, shares, and retweets. These metrics give a picture of how AI-integrated blockchain projects are being received in the crypto space.

與AI相關的加密貨幣的交通水平較高表明，越來越多的人對該行業感興趣。上述項目已發佈在不同的社交媒體平台上，在這些平台上，他們會收到喜歡，評論，股票和轉發。這些指標給了加密貨幣空間中如何收到AI集成區塊鏈項目的圖片。

As AI utilization continues to grow, these projects may become a major factor in the development of AI applications based on the blockchain. The rankings reveal that community engagement is still a key metric in monitoring the increasing popularity of AI-based cryptocurrencies.

隨著AI利用率的不斷增長，這些項目可能成為基於區塊鏈的AI應用程序開發的主要因素。排名表明，社區參與仍然是監測基於AI的加密貨幣日益普及的關鍵指標。