#dusk $DUSK @Dusk I was checking my small DUSK test position today and caught myself making a pretty basic assumption: I used to think Merkle trees and zero-knowledge proofs were doing roughly the same job.

Looking deeper into @Dusk changed that for me.

Dusk-Merkle and PLONK aren't interchangeable. They solve different problems, and that distinction matters when trying to understand where the privacy actually comes from.

Dusk-Merkle is a custom sparse Merkle tree that's hash-function agnostic. It can be used across different parts of the network, including Stake, Transfer and Citadel.

The simple way I now think about it:

Merkle = commit to state.
PLONK = prove a computation.

A Merkle tree can compress structured state into a root. A Merkle opening can then prove that a particular item belongs to that committed structure without requiring the verifier to process the entire tree.

PLONK goes somewhere else. It allows a prover to demonstrate that a statement or computation satisfies a circuit without revealing the private information used to produce that proof.

That separation actually made the $DUSK architecture easier for me to understand.

The tree organizes and commits to state.
The circuit defines what must be true.
The proof demonstrates that the rules were satisfied.
The contract can then determine what state transition follows.

But here's the part I find more interesting.

Flexibility isn't automatically security.

A hash-function-agnostic Merkle design still depends on choosing the right hash function and implementing openings correctly. Reusable PLONK circuits have a similar tradeoff: they reduce duplicated work, but a flawed assumption can potentially be reused across multiple applications.

So I'm not just watching whether DUSK uses ZK.

I'm watching whether each cryptographic component is doing exactly the job it's supposed to do.
#dusk $DUSK
@Dusk
$BTW
$TUT
$CYS

What matters most for Dusk privacy?
Merkle commits state
0%
PLONK proves rules
0%
Both have boundaries
0%
Which matters most?
0%
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