Today's Sector Market Cap: $8.83B +15.49%
A strong rebound day, with Crypto AI applications and decentralized AI gradually achieving breakthroughs.
📈24h Coingecko Trading Volume Top 10:
Token Trading 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 cooperated with Vana @vana to create the World AI Health DataDAO, which will become an important component of the World AI Health Hub, utilizing FHE (Fully Homomorphic Encryption) to achieve end-to-end privacy protection and provide secure AI training support for Vana in a decentralized environment.
Comment: Data protection in the healthcare field has always been an important issue and is a significant breakthrough for decentralized AI development. Looking forward to the implementation of World AI Health DataDAO's solutions.
- Recently raised $33 million for the AI model output scoring project Yupp @yupp_ai, which 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: yupp.ai
Comment: User-reviewed labeled data will serve as important training data for model training and optimization. The current platform's incentives for users are also quite adequate, but ensuring the reliability of user-labeled data may require more wisdom in design mechanisms.
- Prime Intellect @PrimeIntellect launched an important upgrade today, releasing the next-generation open-source inference dataset SYNTHETIC-2, which can be used as cold-start data for inference models and mid-term training data for basic models, and includes difficulty labeling data for RL, etc.
Additionally, this upgrade supports pipeline parallel inference through verifiable inference method TOPLOC v2 and integrates the asynchronous distributed reinforcement learning library prime-rl, along with the Prime Intellect protocol infrastructure layer, enabling the formal production of the peer-to-peer decentralized inference technology stack.
Comment: Prime Intellect's upgrade has made many commendable 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.