Web3Caff Research releases DeAI research report: What explosive possibilities are emerging at the intersection of AI and Web3 and its subfields

ChainCatcher news, the Web3 industry research and analysis platform Web3 Caff Research recently released an in-depth 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 pain points in AI development, such as data shortages, algorithm breakthroughs, and computing power demands, while advancements in generative AI bring 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 free trading markets.

The report further notes that although Web3 introduces economic incentive mechanisms and attempts to establish an open trading market through data or model assetization, its actual effectiveness is limited due to the limited number of crypto users and the significant mismatch between the massive data and computing power requirements for AI model training. Additionally, the report emphasizes that while zero-knowledge proof technology helps achieve model verifiability, challenges remain significant in areas such as quantitative processing, RAM consumption, proof generation time, and responding to adversarial attacks.

At the same time, the efficiency and cost issues of the combination of AI and cryptography, deep fakes in AI, and communication bottlenecks in model training also pose severe challenges to the integration of the two. However, the report optimistically envisions that with technological advancements, the intersection of AI and Web3 will continue to strengthen, finding new ways to efficiently serve the digital world through the interaction of AI Agents and smart contracts.