We often say that ZK is the ultimate form of Web3 infrastructure, but the real large-scale implementation of ZK must answer a practical question: how to efficiently convert real-world computing into zero-knowledge proofs? 🤔 Especially for large systems like Bitcoin and EVM, the instruction sets run are extremely complex. Traditional zkVMs want to simulate these calculations, and often "can afford it, but can't afford to wait". Proof generation takes tens of minutes, which simply cannot be applied to real-time interaction, cross-chain verification, and modular execution. That's why the combination of a common instruction set architecture (e.g. MIPS) + zkVM is gaining traction. It's naturally compatible with mainstream systems, and could theoretically make ZK more efficient and standardized – but what was missing in the past was a truly "usable" version. zkMIPS 1.0, jointly launched by @ProjectZKM and @GOATRollup, brought a landing version that successfully completed the Ethereum mainnet block validation in the ETHProofs benchmark and submitted the paper in first place. Compared with version 0.3.0, the performance is improved by up to 19 times, making it the first MIPS zkVM with large-scale deployment capabilities. This is not only an acceleration of ZK technology itself, but also a leap forward in the Bitcoin ecosystem. zkMIPS 1.0 has been officially launched as the core execution layer of GOAT Network, providing the underlying computing power guarantee for this BTC revenue network, and making GOAT the first BTC Layer 2 to implement high-performance zkVM. The performance is broken, and the landing of ZK has been accelerated since then. What do you think will be the biggest application scenario of ZK technology? Welcome to leave a message 👇 in the comment area