2025-12-21 18:30:14

The integration of Web3 and AI is driving real transformation. In this process, understanding priority AI design becomes crucial.

The current Web3 applications face a core issue: AI is prone to hallucinations and misjudgments when handling on-chain assets and tasks, which directly affects user trust. The solution lies in changing the working logic of AI.

By explicitly processing tasks, accurately parsing asset information, and prioritizing inference processes, errors can be reduced at the source. This methodology not only lowers the hallucination issue but, more importantly, strengthens the system's credibility.

Imagine in scenarios such as DEX trading, cross-chain bridging, and smart contract interactions, AI can accurately understand user intentions, correctly lock on-chain assets, and provide answers based on rigorous reasoning - this is the next evolutionary direction of the Web3 application layer. Trust and accuracy will be key factors determining how far AI can go in the blockchain ecosystem.

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DecentralizeMe

· 2h ago

To be honest, I quite agree with this trap logic, but the key is how many projects can really achieve it? Most of it is just hot air. --- The issue of AI hallucination really needs to be addressed; otherwise, how can I dare to entrust my assets to it for management? --- The reasoning priority strategy is good; finally, someone has articulated the problem clearly. --- It still depends on the specific implementation; the methodology sounds great, but only through practical use can we see the true value. --- If DEX can really operate this precisely, that would indeed be an upgrade, provided that there are no bugs. --- Trust is the hardest part; no matter how good the technology is, if users lack confidence, it’s all in vain.

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PuzzledScholar

· 2h ago

To be honest, the issue of AI hallucination is indeed a minefield, especially when it comes to assets. Does AI's judgment of on-chain assets still rely on this set of logic? It feels a bit precarious. Using AI to understand intentions in DEX interactions... sounds good, but can it really accurately locate assets? I have my doubts. You're right about the trust issue, but who will ensure that the AI's reasoning process itself is sound? This direction is quite right, but the implementation depends on how each project executes it; we don't want it to turn into another PPT revolution. Making tasks explicit sounds simple, but it should be quite complex in reality. How do we ensure complete accuracy? If Web3+AI is to truly succeed, we must first address every link in the trust chain; merely changing the logic might not be enough.

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