On the surface, these types of AI verification projects may seem to lack quick hype points. But the underlying issues are sharp enough: when artificial intelligence starts making decisions for us, how can we ensure it doesn't make mistakes or cheat?

One project has a straightforward idea — abandon trust mechanisms and turn to verifiable proofs. Their approach is to write the AI's reasoning process into the blockchain, then use zero-knowledge proof technology to lock in each step of the computation. This is not for show, but to make every decision of the AI traceable and verifiable.

In other words, instead of letting users blindly trust that AI is honest, it's better to let mathematics and cryptography guarantee it. This approach touches on the most core trust issues in AI deployment.