According to ChainCatcher, Web3 Caff Research, a Web3 industry research and analysis platform, recently released an in-depth research report on DeAI. The report pointed 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 AI development, such as data shortages, algorithm breakthroughs, and computing power requirements, while the advancement 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, and emphasizes 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. Although Web3 has introduced economic incentive mechanisms and attempted 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.
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. 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. The report optimistically predicts 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.
