Protocols are getting more complex, and applications are becoming more specialized, but privacy is still stuck in the 'either fully public or fully black-box' stage. This binary structure simply can't support the next phase of scaling. More and more projects are starting to explore technical solutions that can retain both verifiability and privacy at the same time. The emergence of @zama feels like pulling the two extremes to the middle, achieving 'verifiable confidential computing.' It ensures data isn't exposed while still allowing on-chain proof of its authenticity—this is a must-have. What's even more critical is that they're not building a 'privacy island,' but rather creating plugins for existing chains, packaging hardcore tech like Fully Homomorphic Encryption (FHE) into frameworks that developers can easily use. This approach makes privacy no longer a heavy engineering task but a foundational capability that's readily accessible. If the competitive focus for chains in the past few years was on TPS, then in the coming years, the real competition will be about 'who can make high-value data willing to go on-chain.' And the key to this is confidential execution and a privacy layer with controllable permissions. Zama is productizing this capability. This also explains why there's been a recent acceleration in testnet activities, projects starting trial runs, and new ecosystem applications quietly launching. Privacy isn't just a nice-to-have; it's the threshold for the next wave of application-level breakthroughs.