Yesterday, I was about to give up, but I still tried to run the node configuration for <b>@Dusk </b> in the local environment. When compiling the rusk` core repository for the testnet, I got stuck at a comparison log related to a consensus state synchronization.
I went digging into the node staking logic in the consensus/staking module, and noticed a very interesting variable name: AttestationCapacity—I instantly became curious.
I originally thought it was just a normal field for recording a node’s locked amount, but after following the call chain into rewards_emission.rs, I found that Dusk is playing a very hardcore compute-binding strategy under the hood.
On most PoS chains in the past, node rewards were basically a “capital game.” What does that mean? You buy more coins, lock for a longer time, and you get more inflation rewards—so even if a node server is just a Raspberry Pi running there, nobody cares. But in Dusk’s code, it tightly binds the node’s staking rewards to the latency of the Piecrust virtual machine’s ZK computation responses.
If a node only has a high balance but, in the previous SA consensus round, it processed Poseidon hash operations or Plonk proof verification a beat behind, then the system’s attenuation algorithm will directly reduce its AttestationCapacity dynamic weight. In plain terms: “idle big-shot” nodes that can’t keep up with the compute will have their rewards forcibly cut by the system.
Another very interesting design is its gas burn logic. In the fee_collector module that processes transaction fees, the Base Fee of every valid transaction is hard-coded protocol-level burn. Only the Priority Fee is distributed—based on weights—to the compute nodes that actually participate in ZK verification.
I estimated from the compute logs I ran on the testnet: when the upper-layer RWA asset settlement reaches a certain transaction frequency, the burn rate of the base gas will quickly offset the system’s block reward inflation.
It didn’t try to hype any “super deflationary concept.” Instead, it directly encodes a mutually constraining triangular model in the base code: “compute contribution,” “staking allocation,” and “gas burn.”
Participating in consensus isn’t about passively collecting rewards—you must push real hardware compute onto the chain. And all these rewards are anchored to <b>$DUSK </b>.
#dusk
I went digging into the node staking logic in the consensus/staking module, and noticed a very interesting variable name: AttestationCapacity—I instantly became curious.
I originally thought it was just a normal field for recording a node’s locked amount, but after following the call chain into rewards_emission.rs, I found that Dusk is playing a very hardcore compute-binding strategy under the hood.
On most PoS chains in the past, node rewards were basically a “capital game.” What does that mean? You buy more coins, lock for a longer time, and you get more inflation rewards—so even if a node server is just a Raspberry Pi running there, nobody cares. But in Dusk’s code, it tightly binds the node’s staking rewards to the latency of the Piecrust virtual machine’s ZK computation responses.
If a node only has a high balance but, in the previous SA consensus round, it processed Poseidon hash operations or Plonk proof verification a beat behind, then the system’s attenuation algorithm will directly reduce its AttestationCapacity dynamic weight. In plain terms: “idle big-shot” nodes that can’t keep up with the compute will have their rewards forcibly cut by the system.
Another very interesting design is its gas burn logic. In the fee_collector module that processes transaction fees, the Base Fee of every valid transaction is hard-coded protocol-level burn. Only the Priority Fee is distributed—based on weights—to the compute nodes that actually participate in ZK verification.
I estimated from the compute logs I ran on the testnet: when the upper-layer RWA asset settlement reaches a certain transaction frequency, the burn rate of the base gas will quickly offset the system’s block reward inflation.
It didn’t try to hype any “super deflationary concept.” Instead, it directly encodes a mutually constraining triangular model in the base code: “compute contribution,” “staking allocation,” and “gas burn.”
Participating in consensus isn’t about passively collecting rewards—you must push real hardware compute onto the chain. And all these rewards are anchored to <b>$DUSK </b>.
#dusk