The bottleneck of verifiable AI has never been in the concept, but whether the Computing Power can keep up!
Inference Labs collaborates with Cysic to jointly introduce decentralized computing power for ZK and AI into the actual execution layer of zkML. Cysic is a ComputeFi network specifically designed for zero-knowledge proofs and AI workloads, which is crucial!
When AI systems start to enter high-risk scenarios such as finance, automation, and robotics, correct execution is no longer an optional add-on but a basic requirement. However, the reality is that proof time and computing cost have always been the core bottlenecks for the implementation of zkML. Without scalable Computing Power, even the most rigorous verification models can only remain theoretical or in small-scale experiments.
The significance of this collaboration lies in directly connecting hardware acceleration and decentralized Computing Power to verifiable inference processes, allowing Proof of Inference to not only exist but also to operate, be audited, and reused in real-time scales.
In a truly autonomous system, trust cannot rely on brands or promises. It must be provable and subject to continuous audit.
Computing Power is the last piece of infrastructure that makes verifiable AI a reality in the real world!
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The competition of concepts and Computing Power
The bottleneck of verifiable AI has never been in the concept, but whether the Computing Power can keep up!
Inference Labs collaborates with Cysic to jointly introduce decentralized computing power for ZK and AI into the actual execution layer of zkML. Cysic is a ComputeFi network specifically designed for zero-knowledge proofs and AI workloads, which is crucial!
When AI systems start to enter high-risk scenarios such as finance, automation, and robotics, correct execution is no longer an optional add-on but a basic requirement. However, the reality is that proof time and computing cost have always been the core bottlenecks for the implementation of zkML. Without scalable Computing Power, even the most rigorous verification models can only remain theoretical or in small-scale experiments.
The significance of this collaboration lies in directly connecting hardware acceleration and decentralized Computing Power to verifiable inference processes, allowing Proof of Inference to not only exist but also to operate, be audited, and reused in real-time scales.
In a truly autonomous system, trust cannot rely on brands or promises. It must be provable and subject to continuous audit.
Computing Power is the last piece of infrastructure that makes verifiable AI a reality in the real world!
#KaitoYap @KaitoAI #Yap @inference_labs