🔥 Biteye AI Daily, June 24
Today's Sector Market Cap: $8.83B +15.49%
A day of strong rebound, with Crypto AI applications and decentralized AI gradually making breakthroughs.
📈 24h Coingecko Trading Volume Top 10:
Token Trading Volume Market Cap Price Fluctuation
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 is partnering with $Vana @$vana to create the World AI Health DataDAO, 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 provide secure AI training support for $Vana in a decentralized environment.
Review: Data protection in the healthcare sector has always been an important issue and a major breakthrough for the development of decentralized AI. We look forward to the implementation of the World AI Health DataDAO solution.
- Yupp @yupp_ai, an AI model output scoring project that recently raised $33.00M, currently supports users asking questions on the platform and earning points for evaluating model output results. Points can be exchanged for USDC rewards.
Participation link: https://t.co/AK4uwDRcq1
Review: The data annotated by user reviews will participate in the training and optimization of the model as important training data. The current platform's incentive measures for users are also in place, but how to ensure the reliability of user-annotated data may require more design wisdom in the mechanism.
- Prime Intellect @PrimeIntellect today launched an important set of upgrades, releasing the next-generation open-source reasoning dataset SYNTHETIC-2, which can be used as cold start data for reasoning models and mid-term training data for basic models, and includes difficulty-labeled data for RL.
In addition, this upgrade also supports pipeline parallel reasoning through verifiable reasoning method TOPLOC v2, and integrates the asynchronous distributed reinforcement learning library prime-rl, as well as the Prime Intellect protocol infrastructure layer, enabling the point-to-point decentralized reasoning technology stack to be officially put into production.
Review: Prime Intellect's upgrade has made many good breakthroughs and contributions in the decentralized training and reasoning of models.
📊 Data source: @xhunt_ai, Cookie DAO, Coingecko
💡 Risk warning: The above is for information sharing only and does not constitute investment advice.