The future of AI is verifiable. And powered by @cysic_xyz? TL;DR on Cysic's Vision for Scaling ZK-verified Inference - Cysic addresses the primary computational bottleneck of Verifiable AI by delivering real-time, ZK-powered inference for neural networks through a massively parallel, GPU-accelerated platform. It reports a ~10x performance increase over state-of-the-art benchmarks on models like CNN-4M. - The core technical advantage is twofold: a GPU-parallelized sumcheck protocol that atomizes cryptographic computations across thousands of CUDA threads to fully saturate hardware, and custom CUDA kernels for prime-field arithmetic that maximize ALU throughput by prioritizing fast on-chip memory (registers, shared memory) over slow global memory. - The platform abstracts away cryptographic complexity via seamless integration with major ML frameworks (e.g. PyTorch, TensorFlow). Devs can wrap existing models in a "VerifiableModule" to generate proofs alongside model outputs without rewriting code or deep crypto expertise. - The immediate roadmap includes extending support to more complex architectures, including large-scale LLMs like Llama and DeepSeek, rolling out live application demos, and a full open-source release to foster a community-driven ecosystem around the technology. - This initiative serves as a core pillar of Cysic’s broader "ComputeFi" vision, which aims to create a decentralized compute layer where AI operates as a trust-minimized, verifiable service, enabling a new class of on-chain agents and secure AI apps. Recommend to DYOR (and yap) anons.