Is AI "sinking down" an opportunity for Web3?

Question

> Only when AI truly "sinks" into every device will Decentralization collaboration transform from concept to necessity?  **Written by: Haotian**  Recently, observing the AI industry, I have noticed a change that is increasingly "sinking": evolving from the original mainstream consensus of concentrating computing power and "large" models to a branch leaning towards local small models and edge computing.  This can be seen from Apple Intelligence covering 500 million devices, to Microsoft launching the Windows 11 dedicated model Mu with 330 million parameters, and to Google's DeepMind's robot "offline" operations, etc.  What will be different? Cloud AI competes on parameter scale and training data, with the ability to burn money as the core competitiveness; Local AI competes on engineering optimization and scenario adaptation, making further progress in privacy protection, reliability, and practicality. (The hallucination problem of major general models will severely impact the penetration of vertical scenarios.)  This actually presents a greater opportunity for web3 AI. When everyone was competing for "generalization" (computing, data, algorithms) capabilities, they were naturally monopolized by traditional giant companies. Trying to compete with Google, AWS, OpenAI, etc., under the concept of Decentralization is simply wishful thinking, as there are no resource advantages, technical advantages, and even less user base.  But in the world of localized models + edge computing, the situation faced by blockchain technology services is quite different.  When AI models run on user devices, how can we prove that the output results have not been tampered with? How can we achieve model collaboration while protecting privacy? These issues are precisely the strengths of blockchain technology...  Noticed some new web3 AI-related projects, such as the data communication protocol Lattica recently launched by @Gradient\_HQ with a zero investment of 10M from Pantera, aimed at addressing the data monopoly and black box issues of centralized AI platforms; the brainwave device HeadCap from @PublicAI\_ collects real human data to build an "artificial verification layer," which has already generated 14M in revenue; in fact, they are all trying to solve the "trustworthiness" issue of local AI.  In one sentence: Only when AI truly "sinks" into every device will decentralization collaboration transform from a concept into a necessity?  #Web3AI projects should seriously consider how to provide infrastructure support for the localized AI wave, rather than continuing to compete in the generalized track.