I see quite a bit of confusion out there about this. Criticizing Web3 AI doesn't mean I prefer Web2 AI — they are completely different paths and both can coexist.

What really intrigues me is why so many AI projects in Web3 simply can't innovate. They have all the potential — tokenomics, decentralization, distributed trust structures — but they end up failing in execution. Mainstream project tokens have fallen to almost zero, and both old believers and newcomers have left.

The question is this: Web2 AI advanced because teams focused on talent, real innovation, and practicality. They deliver experiences users want. In Web3, I see a lot of hype and little technical substance. There's a lack of courage to explore Web3-specific narratives without trying to compete directly with giants that already dominate the space.

But here’s the point — Web3 doesn’t need to beat Web2 in pure computing power. It should focus on what really makes a difference: distributed trust, well-designed incentive networks, integrated on-chain communication. These are the areas where Web3 can truly shine and where AI innovation will inevitably surpass.

The true potential of AI + Crypto isn’t to revolutionize human technology. It’s to revitalize narratives that were previously purely speculative, using AI as a catalyst for real productivity. Both Web2 developers entering this space and Web3 builders seeking to innovate need to understand this.

Web3 advocates recognize that Web2 AI gained because it has scale and monopoly. But that doesn’t mean Web3 should give up. It means it needs to find its own path — focusing on innovating where Web2 doesn’t want or can’t go. That’s the real differentiator.