🔥 Biteye AI Daily, June 24 Sector Market Cap Today: $8.83B +15.49% On a day of strong rebound, Crypto AI applications and decentralized AI gradually made breakthroughs. 📈Top 10 24h Coingecko Trading Volume: Token trading volume, market capitalization, and price fluctuations 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 Info - Mind Network @mindnetwork_xyz partnered with Vana @vana to create the World AI Health Data DAO, which will be an important component of the World AI Health Hub, using FHE (fully homomorphic encryption) to achieve end-to-end privacy protection and provide Vana with secure AI training support in a decentralized environment. Comments: The protection of data in the medical and health field has always been an important topic, and it is also an important breakthrough in the development of decentralized AI. - Yupp @yupp_ai, a recently funded $33 million AI model output scoring project, now allows users to ask questions on the platform and evaluate the model output results to earn points, which can be exchanged for USDC rewards. Participation Links: Comments: The data labeled by user reviews will be used as important training data to participate in the training and optimization of the model, and the current platform's incentives for users are also relatively in place, but how to ensure the reliability of user labeling data may need more wisdom in the design mechanism. - Prime Intellect @PrimeIntellect today released a set of major upgrades, announcing SYNTHETIC-2, a next-generation open-source inference dataset that can be used as cold-start data for inference models, mid-term training data for basic models, and includes difficulty annotated data for RL. In addition, this upgrade also supports pipelined parallel inference through the verifiable inference method TOPLOC v2, and integrates the asynchronous distributed reinforcement learning library prime-rl, as well as the Prime Intellect protocol infrastructure layer, so that the peer-to-peer decentralized inference technology stack can be officially put into production. Comments: Prime Intellect has many good breakthroughs and contributions in decentralized training and inference of models. 📊 Source: @xhunt_ai, Cookie DAO, Coingecko 💡 Risk Warning: The above is for information sharing only and is not investment advice.