Written by: Haotian

The large-scale real adoption of ZK has been held back by two major obstacles: it is too difficult to write, and the computing power is too expensive. However, two upcoming "Step functions" in the field are expected to improve this issue:

One is the OpenVM V2, which will be launched by @openvm_org. It allows developers to write business logic using familiar general-purpose languages, while the underlying engine will automatically and robustly "translate" it into ZK proofs;

The other is the production-grade auto-precompiles brought by @powdr_labs, where the compiler can automatically identify time-consuming cryptographic operations and route them directly to the optimal hardware for processing, freeing developers from the pain of manually concerning themselves with underlying optimizations.

These two breakthroughs are like equipping developers with a "foolproof compiler" and an "automatic acceleration gear."

But why is this a good thing for the ZK field?

We can clarify this through a bit of commercial logic: because when the development threshold approaches zero and ZK applications experience an explosion, it will undoubtedly give rise to a massive demand for proof computation. Meanwhile, the current ZK field's Proving Market solutions are already ahead, but the demand from ZK applications is still not sufficient....

This is precisely why open proof markets like @boundless_xyz hold expectations for these technological advancements. After all, without the large-scale application landing demands for ZK, where would the massive proof computation demand come from? And how can one demonstrate the superiority and commercial value of their ZK Prove technology in the current atmosphere of technical nihilism?

Thus, the arrival of these two Step Functions is actually quite important for the overall progress of the ZK field. Because it completely decouples the front-end ZK development compilation from the back-end computation proof, allowing front-end developers to focus on finding application scenarios, while back-end computation hubs concentrate on improving proof efficiency and cost.

Both sides must advance in sync and showcase results to truly drive a breakthrough in the ZK field.

免责声明：本文章仅代表作者个人观点，不代表本平台的立场和观点。本文章仅供信息分享，不构成对任何人的任何投资建议。用户与作者之间的任何争议，与本平台无关。如网页中刊载的文章或图片涉及侵权，请提供相关的权利证明和身份证明发送邮件到support@aicoin.com，本平台相关工作人员将会进行核查。