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Lagrange and Intel's collaboration hits the nail on the head.
Today's AI is like a wild horse, diagnosing illnesses, trading, and even making judgments by watching surveillance screens, but no one can be sure whether it's truly following the rules.
DeepProve already used zk-based technology to verify AI's authenticity, and now, with Intel's help, it's taking this work to a new level of efficiency.
Intel's support is no small feat: the computing power of the Tiber AI Cloud, the acceleration of next-generation hardware, and the hands-on tuning of a team of engineers.
This is like giving DeepProve a "super engine." Verifying AI decisions could become as quick as the blink of an eye. Whether it's real-time risk control in high-frequency trading or AI-powered diagnosis in hospitals, a "credibility report" can be obtained instantly.
The most intriguing aspect of this combination is the underlying strategy: Intel makes AI run faster, and @Lagrange Official makes it more reliable. One focuses on performance, the other on trust, addressing AI's biggest shortcomings.
Speed and trust are both essential—this is what AI should be.
#lagrange $LA
Today's AI is like a wild horse, diagnosing illnesses, trading, and even making judgments by watching surveillance screens, but no one can be sure whether it's truly following the rules.
DeepProve already used zk-based technology to verify AI's authenticity, and now, with Intel's help, it's taking this work to a new level of efficiency.
Intel's support is no small feat: the computing power of the Tiber AI Cloud, the acceleration of next-generation hardware, and the hands-on tuning of a team of engineers.
This is like giving DeepProve a "super engine." Verifying AI decisions could become as quick as the blink of an eye. Whether it's real-time risk control in high-frequency trading or AI-powered diagnosis in hospitals, a "credibility report" can be obtained instantly.
The most intriguing aspect of this combination is the underlying strategy: Intel makes AI run faster, and @Lagrange Official makes it more reliable. One focuses on performance, the other on trust, addressing AI's biggest shortcomings.
Speed and trust are both essential—this is what AI should be.
#lagrange $LA
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