http://ether.fi: la stagione 3 distribuirà 25 milioni di tok | Kun Lee su Binance Square

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http://ether.fi: la stagione 3 distribuirà 25 milioni di token ETHFI
#ETHFI 
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USDC's average weekly trading volume this year reached US$23 billion, and the stablecoin market share hit a new high According to Mars Finance, since Circle announced that its stablecoin USDC complies with European MiCA regulations, the daily trading volume of USDC and EURC has increased significantly. In 2024, USDC's average weekly trading volume reached US$23 billion, up from US$9 billion in 2023 and US$5 billion in 2022. Its market share is currently close to 14% of FDUSD, a record high. $PEPE $NOT $PEOPLE

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Data: A whale pledged 2 trillion PEPE to Sophon According to ChainCatcher, according to Thedatanerd monitoring, 13 hours ago, the whale 0x2da pledged 2 trillion PEPE (about 18.42 million US dollars) to sophon. Six months ago, he accumulated these tokens at a price of 2.33 million US dollars, and the unrealized profit was about 16.09 million US dollars. $PEPE $NOT $PEOPLE

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Web3Caff Research releases DeAI research report: What are the possible explosions arising from the intersections and sub-sectors of AI and Web3? According to ChainCatcher, Web3 Caff Research, a Web3 industry research and analysis platform, recently released an in-depth research report on DeAI. The report points out that the intersection of artificial intelligence and Web3 is attracting widespread attention. The decentralized nature of Web3 technology helps alleviate the pain points in the development of AI, such as data shortages, algorithm breakthroughs, and computing power requirements, while the progress of generative AI has brought new opportunities and challenges to the Web3 ecosystem. The report further analyzes the development prospects and market potential of the DeAI track, emphasizing that Web3's empowerment of AI is mainly reflected in external influences such as incentive mechanisms, digital assetization, and the establishment of a free trading market. The report further points out that although Web3 has introduced economic incentive mechanisms and attempts to establish an open trading market through data or model assetization, its actual effect is limited due to the limited number of encrypted users and the huge mismatch between AI model training's demand for data and computing power. In addition, the report emphasizes that although zero-knowledge proof technology helps to achieve model verifiability, its challenges in quantitative processing, RAM consumption, proof generation time, and coping with adversarial attacks are still huge. At the same time, the efficiency and cost issues of combining AI with cryptography, AI deep fakes, and communication bottlenecks in model training also pose severe challenges to the combination of the two. At the same time, the report also optimistically looks forward to the fact that with the development of technology, the cross-integration of AI and Web3 will continue to strengthen, and find new ways to efficiently serve the digital world in the interaction between AI Agents and smart contracts. $PEPE $NOT $PEOPLE

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