I’ll be diving into the Architecture of mira Network
Mira Network’s core architecture is a decentralized protocol that verifies AI-generated outputs
Think of it as a group of trustworthy referees who double-check what AI chatbots or tools say, making sure it’s accurate without relying on one single data. Instead of trusting a single AI blindly, Mira breaks down the AI’s answer into simple true-or-false statements
How does this simply work?
Mira network breaks down big answers get split into tiny facts that are easy to verify, like checking if a recipe step really works.
That tiny facts are then given to a team of checkers (Different computers run by people worldwide). These team of checkers use their own AIs to say yes or no to each fact; no one sees the whole thing to keep it private and fair.
A larger percentage of checkers have to agree for a decision to pass, and these checkers each get a digital “certificate” proving it’s right.
It’s like when you ask friends for advice: instead of trusting just one friend, you ask several who all check and confirm the answer.
Mira’s way ensures that AI doesn’t get to decide alone what’s true, the group consensus of referees certifies it.
>> This means more accuracy, fairness, and fewer mistakes for everyone relying on AI answers.
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Day 2 of exploring @miranetwork
I’ll be diving into the Architecture of mira Network
Mira Network’s core architecture is a decentralized protocol that verifies AI-generated outputs
Think of it as a group of trustworthy referees who double-check what AI chatbots or tools say, making sure it’s accurate without relying on one single data. Instead of trusting a single AI blindly, Mira breaks down the AI’s answer into simple true-or-false statements
How does this simply work?
Mira network breaks down big answers get split into tiny facts that are easy to verify, like checking if a recipe step really works.
That tiny facts are then given to a team of checkers (Different computers run by people worldwide). These team of checkers use their own AIs to say yes or no to each fact; no one sees the whole thing to keep it private and fair.
A larger percentage of checkers have to agree for a decision to pass, and these checkers each get a digital “certificate” proving it’s right.
It’s like when you ask friends for advice: instead of trusting just one friend, you ask several who all check and confirm the answer.
Mira’s way ensures that AI doesn’t get to decide alone what’s true, the group consensus of referees certifies it.
>> This means more accuracy, fairness, and fewer mistakes for everyone relying on AI answers.