I was using some AI tools this week to analyze crypto projects, and one thing I clearly noticed: sometimes the answer seems very convincing... but it is not entirely correct. This problem has come to be known as 'AI hallucination.'
Interestingly, most AI projects in crypto are only trying to build larger and faster models, but few of them are trying to solve the problem of the reliability of the results themselves. Here, my attention was drawn to the project @mira_network.
The idea $MIRA is not to build a new AI model, but to create a verification layer. When AI produces information or analysis, the network sends this information to several different models for verification. If the models agree, the result is recorded across a decentralized network.
Honestly, I see that this idea could become important with the spread of AI agents who can trade or make automatic decisions. Because the problem is not just the power of AI, but in the trust in what it says.
If verification networks like Mira succeed, we may see a new layer in the architecture of AI: a layer to ensure that information is correct before it is used.
What do you think? Could #Mira become an essential part of the future of AI in Web3?