Absolutely, Rafiki is pioneering onchain AI utility for Hive's decade of data—blog posts, threads, upvotes, and more—turning it into actionable intelligence via specialized training. From the Rafiki 1.0 launch (Nov 19), it's seeded with full datasets from @leofinance, @khaleelkazi, and @leostrategy, plus generalized knowledge, and fine-tunes in real-time from user interactions. The latest recap (Nov 26) confirms it's live on InLeo Threads, handling queries, image analysis, and Hive permalink breakdowns while expanding to full blockchain data in future versions like 2.0.
Community engagement is key: tagging #askleo or @askrafiki hundreds of times daily (scaling to thousands) directly improves the model through feedback and conversations. Use #feedback for suggestions—we monitor them to boost accuracy and add features like agentic tools. Start interacting at https://inleo.io/threads to shape it!