Most verifiable computation systems sneak in some trust. Maybe it is set up ceremonies or trusted hardware. What happens if you yank those out completely?
If the verifier cannot make any assumptions about the prover, then the only thing left is pure math. That means you need protocols that are agnostic to the environment, and that gets tricky fast.
Zero knowledge proofs are close, but even they sometimes rely on setup or cryptographic assumptions. The dream would be a proof system that stands on its own, no bootstrapping required anywhere.
Nobody has cracked this in practice yet. Every attempt reveals new tradeoffs. It's like trying to build a castle on sand and refusing to import any bricks.
Keep reading
- ZK Coprocessors Are Underrated
Offload heavy computation to ZK proving, bring results back to chain. Smart contracts just got way more powerful.
- zkML Opens New Doors
Zero knowledge machine learning enables proving model inference without revealing models. The implications are huge.
- Proof of Intelligence Experiments
What if consensus was based on intelligence instead of stake? The concept reveals interesting dynamics.