FLock.io price

Decentralized AI is no longer a side story. While centralized giants debated guardrails, DeAI sprinted ahead, quietly, then all at once. Now in mid-2025, the shift is real: more capital, more users, and more infrastructure than ever before 🧵

🔥 Biteye AI Daily Report June 27 Today's sector market cap: $8.38B -2.9% The sector continues to pull back, $SAHARA has completed TGE and is now listed on major CEXs, while $BANANAS31 has experienced significant volatility with sharp rises and falls in recent days. 📈 24h Coingecko Trading Volume Top 10: Token Volume Market Cap Price Volatility 1- $SAHARA $657.0M $170.3M $0.08 -41.4% 2- $BANANAS31 $211.1M $75.7M $0.01 -52.6% 3- $VIRTUAL $195.2M $926.8M $1.42 -1.9% 4- $TAO $129.7M $2.9B $323.18 -0.4% 5- $AIXBT $53.3M $121.4M $0.13 -2.1% 6- $AI16Z $52.2M $146.2M $0.13 -5.7% 7- $PROMPT $49.5M $28.8M $0.13 -2.1% 8- $TUT $44.0M $46.0M $0.06 -7.7% 9- $KAITO $41.8M $329.8M $1.37 -2.9% 10- $COOKIE $19.1M $88.4M $0.16 -3.5% ⭐️ Key Information - @CreatorBid has released the V2 user guide, detailing how to participate in the Agent Launchpad new token offering. The BID Level regulates users' priority in participating in the new token offering; the higher the BID Level, the greater the allocation weight and the lesser the impact of sell penalties. The determination of BID Level will be based on four dimensions: the duration of BID locked in the user's vault, the number of AI Agent tokens staked, the number of AI Agent tokens purchased, and the social InfoFi score. Comment: The Agent Launchpad mechanism is similar to @virtuals_io, but replacing the points system with BID Level is a good attempt and innovation; we will see how it performs in the future. - @near_ai tested and introduced @ASIMOV_Protocol and its inference results, obtaining accurate answers. Asimov Protocol is an innovative project built on the NEAR Protocol, aimed at solving data quality issues in AI model training through blockchain technology and knowledge graphs, particularly the challenge of "garbage in, garbage out." The Knowledge Graph stores structured facts as entities and relationships, allowing for the discovery of inconsistencies, omissions, and errors in the data, thus supporting data cleaning and quality improvement. Comment: The underlying design on NEAR consistently maintains a forward-looking perspective. - @base has enhanced the interactivity of its documents using AI: users can utilize the AI chatbot and AI smart search provided by Base to understand the content of the documents, or they can directly open documents in ChatGPT or Claude and learn within these mainstream AI chat interfaces; developers can also use the document MCP server to directly transfer context to the IDE to assist in programming. Comment: Reviewing documents has always been a tedious task, and Base has consistently excelled in capturing user needs; we look forward to its performance at the application level. 📊 Data sources: @xhunt_ai, Cookie DAO, Coingecko 💡 Risk Warning: The above is for information sharing only and is not investment advice.