Predicting Relationships with AI and the Concept of Virtual Idol Stocks @Kindred_AI, @OpenledgerHQ, @trylimitless The idea that relationships with AI characters are recorded as data and their changes become marketable is naturally emerging in recent digital platform environments. At the core of this trend is the record of how frequently, how long, and in what ways people interact with a specific AI character. When these records are aggregated, they can numerically express the popularity of the character. Kindred is known as a platform that provides AI characters capable of conversing with users and exchanging emotional expressions. According to official documentation, users interact with characters for several hours on average each day. These interactions include text conversations and voice functions, and the platform has reported an increase in overall session time after expanding its features. However, there is no verified case of individual character popularity or detailed emotional data being publicly disclosed. OpenLedger is introduced as a blockchain infrastructure for recording and rewarding data contributions in the process of AI learning and application. The system aims to transparently track the path of data generation and usage, and so far, its focus has been on proving the origin of AI model training data and establishing a reward structure. There is no evidence in the publicly available information that OpenLedger collects interaction data from a specific AI character platform in real-time or processes it into popularity metrics. Limitless is a blockchain-based prediction market platform that has operated betting markets on clearly determinable events such as cryptocurrency prices and sports match outcomes. Transaction volumes and settlement structures are verifiable on-chain, and there is no confirmation that a market targeting the popularity fluctuations or relationship indicators of AI characters has been launched. Additionally, there is no official evidence that Limitless utilizes data from OpenLedger or interaction records from Kindred. When connecting these three elements, a commonly used analogy is the term "virtual idol stocks." This refers to a structure where, instead of predicting a company's performance like traditional stocks, one sets the rise or fall in popularity of a digital AI character as an event and bets on the outcome. This concept is explained similarly to past examples in prediction markets that dealt with events such as whether celebrities would win awards or the performance of content. However, according to publicly verifiable facts to date, there has been no technical integration or data linkage between Kindred, OpenLedger, and Limitless. There are also no reported cases of actual operation where interaction data from AI characters is directly used in a popularity prediction market. Each project exists as an independent system with different purposes and functions, and the term "virtual idol stocks" is more of a conceptual analogy used when combining them for explanation. In this way, the topic of predicting relationships with AI becomes clearest when the distinct characteristics of different technologies and services—interaction data from AI character platforms, blockchain for recording data contributions, and prediction markets for betting on event outcomes—are considered side by side. The verifiable facts at this point are the information on what roles each of these elements plays, and there are no existing examples of them being connected as a single operational system. $KIN $OPEN $LMTS