Now a bunch of projects are hard to ride the wave of AI + Blockchain, but Mira is different.
It hits a pain point: how can you trust the results output by AI models? Traditional AI is completely a black box operation; it gives you an answer, and you can only choose to trust it or not.
Mira's approach is to bring the "model credibility" issue onto the blockchain. Through a decentralized model network, different models can verify each other; then, with a stake mechanism as a constraint—if the model output has issues, the deposit will be forfeited, which compels the model providers to take their work seriously. The key point is that it has established this "model consensus" as a protocol layer, which is the first of its kind in the industry.
If this direction is successful, it will have a significant impact on scenarios like DeFi, oracle, and on-chain decision-making. After all, no one wants to use an AI that might spout nonsense at any time to handle matters involving real money.
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Now a bunch of projects are hard to ride the wave of AI + Blockchain, but Mira is different.
It hits a pain point: how can you trust the results output by AI models? Traditional AI is completely a black box operation; it gives you an answer, and you can only choose to trust it or not.
Mira's approach is to bring the "model credibility" issue onto the blockchain. Through a decentralized model network, different models can verify each other; then, with a stake mechanism as a constraint—if the model output has issues, the deposit will be forfeited, which compels the model providers to take their work seriously. The key point is that it has established this "model consensus" as a protocol layer, which is the first of its kind in the industry.
If this direction is successful, it will have a significant impact on scenarios like DeFi, oracle, and on-chain decision-making. After all, no one wants to use an AI that might spout nonsense at any time to handle matters involving real money.