A result can look correct without giving you enough reason to trust how it was produced. Think about a financial application calculating eligibility for a reward or assessing whether certain conditions have been met. Users need more than a number on the screen; they need confidence in the process behind it. This is why verifiable computation matters. @primus_labs is exploring ways to make computation verifiable while protecting sensitive information through technologies like FHE. The interesting part is that trust doesn't have to depend entirely on taking a system at its word. Verification can provide stronger evidence that a computation was carried out correctly. That's an important building block for financial applications that need both confidentiality and accountability. gPrimus 🦉 Explore Primus XP tasks: https://t.co/gUC9drIILb