🔥 Biteye AI Daily Report June 24 Today's market cap: $8.83B +15.49% A strong rebound day, with Crypto AI applications and decentralized AI gradually making breakthroughs. 📈 24h Coingecko Trading Volume Top 10: Token Volume Market Cap Price Volatility 1- $VIRTUAL $404.3M $1.1B $1.68 +21.9% 2- $TAO $217.8M $3.1B $350.05 +14.4% 3- $AIXBT $130.6M $133.8M $0.14 +19.6% 4- $BANANAS31 $113.0M $122.9M $0.01 +59.0% 5- $AI16Z $83.1M $176.7M $0.16 +18.3% 6- $KAITO $67.9M $344.0M $1.43 +11.7% 7- $TUT $48.8M $41.7M $0.05 +22.5% 8- $PROMPT $48.7M $31.3M $0.14 +13.7% 9- $GOAT $34.5M $100.0M $0.10 +16.7% 10- $COOKIE $31.8M $99.3M $0.18 +19.2% ⭐️ Key Information - Mind Network @mindnetwork_xyz collaborates with Vana @vana to create the World AI Health Data DAO, which will become an important part of the World AI Health Hub, using FHE (Fully Homomorphic Encryption) to achieve end-to-end privacy protection and providing secure AI training support for Vana in a decentralized environment. Comment: Data protection in the healthcare field has always been an important issue and a significant breakthrough point for decentralized AI development. Looking forward to the implementation of the World AI Health Data DAO's solutions. - Recently, the AI model output scoring project Yupp @yupp_ai raised $33 million. It currently allows users to ask questions on the platform and evaluate model output results to earn points, which can be exchanged for USDC rewards. Participation link: Comment: The user-reviewed labeled data will serve as important training data for model training and optimization. The current platform's incentive measures for users are also quite adequate, but how to ensure the reliability of user-labeled data may require more wisdom in design mechanisms. - Prime Intellect @PrimeIntellect has launched a significant upgrade today, releasing the next-generation open-source inference dataset SYNTHETIC-2, which can serve as cold-start data for inference models and mid-term training data for foundational models, including difficulty-labeled data for RL. Additionally, this upgrade supports pipeline parallel inference through verifiable inference method TOPLOC v2 and integrates the asynchronous distributed reinforcement learning library prime-rl, as well as the Prime Intellect protocol infrastructure layer, allowing the point-to-point decentralized inference tech stack to be officially put into production. Comment: Prime Intellect's upgrade has made many excellent breakthroughs and contributions in decentralized training and inference of models. 📊 Data source: @xhunt_ai, Cookie DAO, Coingecko 💡 Risk Warning: The above is for information sharing only and is not investment advice.