Dusk's technical approach is indeed very interesting; I feel like I am playing a long game. The combination of zero-knowledge privacy and shared state means that most chains are either fully transparent or completely black box, but they are taking the route of data encryption execution while maintaining composability. What does this mean? Developers can build private yet verifiable DeFi products—such as batch processing orders without exposing transaction intentions at all.

The key issue will be in 2026. Once market testing of fees goes on-chain, the cost of privacy will be laid bare. Are institutions really willing to pay for compliant privacy? This is the moment to test the market.

My understanding is that this is actually redefining what "efficiency" means. It’s not just about pursuing high TPS, but about the net benefits brought by compliant privacy. Compared to scaling solutions like ZK-rollups, Dusk leans more towards infrastructure layer, targeting bank-level application scenarios.

The recent integration of FHE (Fully Homomorphic Encryption) is particularly promising—machine learning can now be performed on encrypted data. Imagine AI fund management that completely keeps strategies confidential; this is very attractive to institutional managers.

If you're interested in this area, you can dig into their GitHub commit history. The activity level is quite high, especially the compression ciphertext optimization in version 0.8, which is very practical. From these details, you can see which direction privacy chains are heading.