#nil $NIL @Nillion I usually start with the simple question: where does the private data actually go? That was the part I kept coming back to while looking into Nillion.
At first, I misunderstood the “blind computation” idea. I thought the main point was simply storing encrypted data. But the more I looked at it, the more interesting part seemed to be that computation can happen without exposing the underlying data.
That changes the question for me. It’s not just “can blockchains keep sensitive data private?” It becomes: can an application actually use that data without having to reveal it first?
That feels especially relevant for things like AI agents or trading systems, where the useful data can also be the data you really don’t want sitting in plain view.
But I’m still wondering about the practical side. How does the privacy hold up when workloads become large, frequent, and expensive?
Maybe that’s the part I need to dig into next.
@Nillion
$NIL
#nil
At first, I misunderstood the “blind computation” idea. I thought the main point was simply storing encrypted data. But the more I looked at it, the more interesting part seemed to be that computation can happen without exposing the underlying data.
That changes the question for me. It’s not just “can blockchains keep sensitive data private?” It becomes: can an application actually use that data without having to reveal it first?
That feels especially relevant for things like AI agents or trading systems, where the useful data can also be the data you really don’t want sitting in plain view.
But I’m still wondering about the practical side. How does the privacy hold up when workloads become large, frequent, and expensive?
Maybe that’s the part I need to dig into next.
@Nillion
$NIL
#nil