Zero-knowledge proofs are basically a way to trust code execution without re-running it yourself.
Compile C# to a minimal RISC-V runtime. You run the program once, and instead of shipping all the outputs and logs, you generate a zk proof—a tiny math receipt that says "this execution was correct." Anyone can verify that receipt in milliseconds.
It's a bit like TEEs (Intel SGX, AMD SEV) where you outsource compute to someone else and rely on hardware to prove they ran it faithfully. The difference is zk proofs don’t depend on trusting special chips or vendors - it's just math.
Implications:
* Offload heavy workloads to untrusted machines but still verify correctness
* Lightweight sync and validation in distributed systems
* New trust models for cloud and datacenter compute
benaadams•1h ago
Compile C# to a minimal RISC-V runtime. You run the program once, and instead of shipping all the outputs and logs, you generate a zk proof—a tiny math receipt that says "this execution was correct." Anyone can verify that receipt in milliseconds.
It's a bit like TEEs (Intel SGX, AMD SEV) where you outsource compute to someone else and rely on hardware to prove they ran it faithfully. The difference is zk proofs don’t depend on trusting special chips or vendors - it's just math.
Implications:
* Offload heavy workloads to untrusted machines but still verify correctness
* Lightweight sync and validation in distributed systems
* New trust models for cloud and datacenter compute