DeAgentAI Launches AlphaX Model With Community Feedback Mechanism

According to PANews, decentralized AI agent project DeAgentAI has announced the launch of its first model based on the DeAgentAI feedback training mechanism, named AlphaX. DeAgentAI is the first Web3 AI feedback mechanism incentive protocol, integrating feedback mechanisms tightly with the training process to realize the concept of Proof of Insight. This aims to address the challenge of rapidly implementing large models in various specific scenarios. AlphaX was developed by an AI team from top academic institutions such as Carnegie Mellon University, the University of California, Los Angeles, and the State University of New York. During its beta phase, AlphaX has received widespread recognition from industry leaders and traders. Users can leverage AlphaX to obtain BTC and ETH price prediction signals generated by DeAgentAI's proprietary AI model. By choosing to trust or not trust these signals, users provide feedback that helps the team train the model with more parameters. To promote the market adoption of AlphaX, DeAgentAI has entered into strategic partnerships with several ecosystem partners, including Bitlayer, KiloEx, and oooo, to jointly host market activities. Additionally, DeAgentAI has launched an incentive plan worth 1 million USDT, giving users the opportunity to share in 20 million tokens prepared for the AA’s Dog activity season. Earlier this year, DeAgentAI successfully completed a $6 million funding round and, in September, collaborated with over ten leading projects, including B2Network, to host the ecosystem joint event GUESS2049. This event saw participation from 300,000 users who conducted over 440,000 on-chain transactions.