Biteye AI Daily August 13

Today’s zone market capitalization: $13.04B +5%

The zone has rebounded significantly, and with the recovery of the cryptocurrency market, the market fluctuations are quite intense.

📈24h Coingecko Trading Volume Top 10: Token trading volume market capitalization price volatility 1- $VIRTUAL $159.2M $872.1M $1.33 +0.1% 2- $TAO $138.6M $3.7B $388.21 +6.6% 3- $AI16Z $56.6M $151.6M $0.14 +5.1% 4- $SHELL $55.0M $45.7M $0.17 -0.1% 5- $AIXBT $49.9M $128.9M $0.13 +5.6% 6- $SAHARA $43.9M $193.1M $0.09 -0.5% 7- $BANANAS31 $39.7M $72.0M $0.01 +0.1% 8- $KAITO $37.1M $290.2M $1.20 +4.3% 9- $GOAT $30.0M $106.7M $0.11 +9.5% 10- $WAI $28.7M $10.6M $0.04 -19.0%

⭐️Key Information

1. Grayscale launched a trust product for Walrus @WalrusProtocol

• Grayscale has launched two trust products for the Sui ecosystem: DeepBook Trust and Walrus Trust.
• DeepBook @DeepBookonSui is the leading DeFi liquidity layer on Sui, providing high-performance liquidity infrastructure;
• Walrus supports large-scale decentralized data management, and @WalrusProtocol can achieve data storage, sharing, and real-time management on any blockchain, making it one of the important infrastructures for on-chain AI.

Comment: Sui is gradually establishing its influence among traditional financial institutions, while Walrus, as a leading solution in the on-chain AI storage field, is expected to gain more attention for its value.

2. PrismaX @PrismaXai launched the remote training platform Teleop

• On the Teleop platform, users can remotely control robots, train visual-language action models, and earn PrismaX points.
• Points Rule: You can earn 3,000 PrismaX points for your first operation, and then you can earn 90 points every 5 minutes of operation.
• Platform link:

Comment: The current platform is relatively small in scale, and training tasks may require queuing, but this innovative remote training method that allows for distributed user participation is both interesting and practical. Looking forward to future expansion that attracts more users to join.

3. Kunlun Wanwei @Skywork_ai released Matrix-Game 2.0 — the world’s first open-source, real-time, long-sequence interactive world model

• What is different about the world model: A “virtual reality simulation” that the AI system is capable of building internally, which can predict causal relationships and event developments in the environment through learning, allowing the AI to perform common-sense reasoning and decision-making like a human, rather than just responding based on memory.
• Matrix-Game 2.0 uses the technology of “one image generates ten thousand realms” to automatically generate videos of an extended 3D world from a single image.
• 25FPS: Achieving 25 frames per second generation with a single GPU. In video, the higher the frame rate, the smoother the visuals. The generation speed of the closed-source world model Genie 3 released by Google was 24FPS.
• Minute-level interaction: supports generating dynamic content for several consecutive minutes, with consistent logic, no interruptions or delays.
• Application Scenarios: Game Prototype Development, AI Agent Training, Virtual World Generation, Autonomous Driving Simulation Environment, etc.

Comment: Domestic open-source models have surpassed top proprietary models in many aspects. The release of Matrix-Game 2.0, the first open-source “world model,” has sparked enthusiastic discussions within the community.

📊 Data source: @xhunt_ai, Cookie DAO, Coingecko

💡Risk Warning: The above is for information sharing only and is not investment advice.