In modern society, privacy is a fundamental right. However, in centralized structures, individuals lose control of their data and become the unprotected victims of numerous personal information leaks. While blockchain might offer a solution, existing protocols like Zcash and Monero are limited by their dependence on specific chains or their ability to provide privacy at the level of simple asset transfers. In particular, the technical limitations of requiring multiple parties to participate in computation make these chains particularly vulnerable to applications in DeFi models or AI. As an extension of this discussion, I've been researching new privacy chains, and I recently read Siwon's post about Arcium. Arcium is a project that adopts multi-party computation (MPC) as its core technology and attempts to overcome the limitations of existing privacy chains through distributed processing. Furthermore, I learned that Arcium is designed as a computation layer, rather than an independent L1, to provide privacy features as plugins across various chains, enabling use cases similar to Umbra. Ultimately, I believe Archium's goal is to make privacy a fundamental foundation, not a special feature. If it can serve as a universal computing layer between fragmented chains, it could accelerate institutional-grade on-chain finance and private AI learning. It will be interesting to see how general-purpose solutions like Archium address this structural flaw. In particular, it will be fascinating to see whether Archium can move beyond being a standalone solution and work in complementary ways with various emerging privacy chains, ultimately raising privacy standards across the entire ecosystem. The original article can be found here. The ecosystem section is worth a look! Full issue article (post) | Full issue article (website)