Cysic @cysic_xyz Beyond applications in ZK, the real strength of Cysic lies in its applications in AI. This is why I’m so bullish on Cysic! ▰ Verifiable AI Current AI systems are like black boxes—users can only see the results but can’t confirm if they were truly generated by the model. In fields like finance, healthcare, and law, errors or fraud can lead to massive risks. Cysic can “translate” the AI inference process into mathematical proofs, then accelerate it with hardware, allowing anyone to quickly verify the results. This way, verifiers only need to check the proof without rerunning the AI model to confirm the results are trustworthy. ▰ GPU-accelerated AI & ZK hybrid workloads The Cysic @cysic_xyz network can mobilize idle GPUs for both AI training/inference and ZK proof generation. The same GPU can be allocated to AI or ZK tasks at different times. ▰ Data privacy in AI model training In current AI training processes, especially for large models, user data might be exposed. With Cysic, AI projects can use zero-knowledge proofs, homomorphic encryption, and other methods to train or validate AI models without ever exposing the underlying data. These are the core competitive advantages of Cysic. Compared to Mira, which recently launched, Cysic clearly has broader application scenarios and is easier to implement.