gPrimus Another important thing I think about when looking at @primus_labs is how much financial information blockchain users expose just to make transactions verifiable. For example, imagine sending money to someone and having the transaction confirmed, but anyone who knows your wallet address can also study your balance, follow your spending, and connect your activity over time. That is one of the trade-offs with public blockchains. Transparency makes it easier to check what happened, but it also means financial information can become visible to people who have no reason to access it. For everyday users, this can be uncomfortable. For businesses and institutions handling larger transactions, it becomes an even more important consideration. 𝗧𝗵𝗲 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗜𝘀 𝗕𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴 𝗕𝗼𝘁𝗵 I don't think the answer is to remove transparency completely. Blockchain applications still need ways to confirm that transactions are valid, balances meet requirements, and operations follow their rules. The real question is whether all the information behind those checks needs to be publicly exposed. This is where confidential computing becomes interesting. Fully Homomorphic Encryption (FHE) allows certain computations to happen directly on encrypted data. The information can be processed without first revealing its original values. For example, a financial application could need to check whether someone has enough funds for a transaction. Instead of making the person's entire balance public, encrypted computation offers a way to work with protected information while evaluating the required condition. That changes how we can approach privacy in financial applications Primus labs is working on confidential infrastructure that combines cryptographic privacy with verifiable computation. What interests me is the possibility of protecting sensitive financial information while still allowing applications to check whether important operations were performed correctly. FHE helps with computation over encrypted data. Verifiable computation helps establish that a computation followed the required process and produced a valid result. These are different problems, but they can complement each other. Keeping information encrypted is not enough by itself. An application also needs confidence that the operation it relies on was actually carried out correctly. That is why combining privacy with verification matters. A private transaction can still have rules. A payment may need to satisfy certain conditions, a financial application may need to confirm eligibility, or a system may need evidence that an operation was valid. The important part is deciding what information is necessary to prove those things. There is a difference between confirming that a transaction meets its requirements and exposing someone's complete financial history. This is the direction I find valuable about confidential infrastructure. It creates room for applications to verify specific conditions without automatically revealing every sensitive detail involved. Of course, the actual privacy protection depends on the cryptographic design, implementation, and information the application still makes public. As blockchain adoption grows, financial applications will need more than public transaction records. Users want control over their financial information. Businesses need confidentiality around their operations. Applications still need reliable ways to verify activity. These requirements should not automatically conflict. That is why I believe the work primus is exploring deserves attention. The goal is not to make financial activity impossible to verify. It is to make verification more selective, so sensitive information does not have to become public simply because a transaction happens onchain.