Many Web3 products seem to be quite bull before use, but they always make people frown when actually used.
It's not that the functionality is insufficient or the technology is lacking, but rather that every step you take must be "interrogated" by the system once: Even this, sign that, prove that you are you, prove that you really did that thing just now. Over time, as technology becomes more advanced, the experience becomes more cumbersome.
@miranetwork gives me the intuitive feeling that it is not creating a "more complex system", but rather returning the processes that should be smooth to the users.
It does not address the question of "how to add another layer of verification," but rather a more realistic issue: Can the results stand on their own without needing someone to endorse them?
Mira uses AI to validate the behavior itself, rather than revolving around identity. Whether you did it or not, and whether the result is correct, the system will provide a verifiable answer. instead of relying on platform statements, manual reviews, or trust assumptions.
So what you see with MIRA-20, on-chain certificates, and AI native infrastructure is not a piecemeal stacking of materials. They are essentially working together to accomplish something: Extract "trustworthiness" from the process and turn it into a default attribute.
The point that really makes me feel this project is different is: Its design premise is not "how users should operate." but rather "how people will definitely use it in a real environment."
We don't force you to understand the system, nor do we ask you to change your habits. It automatically helps you leave value and credibility on the chain only after you have completed a task.
This engineering approach based on real actions is not common in today's Web3. But once you get used to it, it's hard to go back to those systems that rely on explanation and trust.
This point is well done by @miranetwork, and @brevis_zk is also good, both belong to the AI track.
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Many Web3 products seem to be quite bull before use, but they always make people frown when actually used.
It's not that the functionality is insufficient or the technology is lacking, but rather that every step you take must be "interrogated" by the system once:
Even this, sign that, prove that you are you, prove that you really did that thing just now.
Over time, as technology becomes more advanced, the experience becomes more cumbersome.
@miranetwork gives me the intuitive feeling that it is not creating a "more complex system", but rather returning the processes that should be smooth to the users.
It does not address the question of "how to add another layer of verification," but rather a more realistic issue:
Can the results stand on their own without needing someone to endorse them?
Mira uses AI to validate the behavior itself, rather than revolving around identity.
Whether you did it or not, and whether the result is correct, the system will provide a verifiable answer.
instead of relying on platform statements, manual reviews, or trust assumptions.
So what you see with MIRA-20, on-chain certificates, and AI native infrastructure is not a piecemeal stacking of materials.
They are essentially working together to accomplish something:
Extract "trustworthiness" from the process and turn it into a default attribute.
The point that really makes me feel this project is different is:
Its design premise is not "how users should operate."
but rather "how people will definitely use it in a real environment."
We don't force you to understand the system, nor do we ask you to change your habits.
It automatically helps you leave value and credibility on the chain only after you have completed a task.
This engineering approach based on real actions is not common in today's Web3.
But once you get used to it, it's hard to go back to those systems that rely on explanation and trust.
This point is well done by @miranetwork, and @brevis_zk is also good, both belong to the AI track.