Tao通过社交活动排名AI加密项目的名单，因为对部门的兴趣

Phoenix Group和Lunarcrush的最新统计数据揭示了基于社交媒体平台的提及和参与后的AI Crypto项目列表。

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的最新数据根据社交媒体平台上的提及和订婚，揭示了顶级AI加密项目的清单。这是一天之内排名的快照：

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参与的帖子和高达250万的互动率领先，这使其成为AI最容易受访的AI加密项目。其他项目包括$ FET和$ ING，具有5.3K参与的职位和4.9k，但在相互作用中有所不同，其中$ FET记录了120万次互动，$ ING记录了1000万次互动。接下来是$渲染和$ AIXBT，分别为4.0k和3.3k参与的帖子以及120万和1.0互动。

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

在值得注意的AI代币中：$ 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.

在社区中，持续晋升为$ vra和$ $，靠近3.4k和3.0k参与的职位。这些项目的社交互动分别为841.5k和854.1k。由人工智能提供支持的$玫瑰代币具有2.8K的帖子，并具有5​​09.4K互动，表现出对其进步的持续兴趣。

$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参与帖子的列表，总交互率分别超过500k和415.5k。这些数字表明，即使是相对小的AI冒险活动仍然在社会上参与其中，从而加强了AI区块链系统的扩展。

High Social Engagement Signals Market Interest

高社会参与信号市场兴趣

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.

与AI相关的加密货币的交通水平较高表明，越来越多的人对该行业感兴趣。上述项目已发布在不同的社交媒体平台上，在这些平台上，他们会收到喜欢，评论，股票和转发。这些指标给了加密货币空间中如何收到AI集成区块链项目的图片。

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.

随着AI利用率的不断增长，这些项目可能成为基于区块链的AI应用程序开发的主要因素。排名表明，社区参与仍然是监测基于AI的加密货币日益普及的关键指标。