ScalingLawPowerSet

Event Re-added v101 → v127, v133 → v219, v233 → v265, v273 → v277, v290 → current #21

Emitted when scaling law power parameter is changed.

Useful for: subnet ownersvalidatorsminersanalyticsdevelopers

The Big Picture

The scaling law power affects how rewards scale with stake or performance. It's a mathematical parameter that shapes the reward distribution curve. Higher power values can create more winner-take-all dynamics; lower values flatten the curve. Subnet owners tune this for their desired economic behavior.

Why This Matters

The scaling law power affects whether rewards are concentrated or distributed. Changes to this parameter alter the economic landscape of the subnet. Understanding this helps you predict how reward distributions might shift.

Example Scenario

Subnet 10 wants to encourage broader participation. They reduce scaling law power to flatten the reward curve. ScalingLawPowerSet fires. Previously top performers got much more than average; now the gap narrows. More participants earn meaningful rewards.

Common Questions

What's a typical scaling law power value?: Varies by subnet design. Check your subnet's current value and compare to others. The exact meaning depends on the reward calculation formula used.
Does this affect my current earnings?: Future reward calculations use the new power. Past earnings are unchanged. The impact on your future rewards depends on your relative position in the performance distribution.
How does this interact with other parameters like Kappa?: Multiple parameters shape the reward curve together. Scaling law power is one piece; Kappa, Rho, and others also contribute. Understanding the full picture requires modeling all parameters.

Use Cases

Track reward curve tuning on subnets
Model emission distribution under different parameters
Monitor subnet economic parameter changes
Build reward prediction tools

How to Use This Event

→ Monitor scaling parameters on subnets you operate
→ Track changes affecting reward distribution
→ Build economic modeling tools

From Chain Metadata

the scaling law power has been set for a subnet.

Triggers

Preconditions

Caller has admin/sudo privileges

Effects

Postconditions

ScalingLawPower updated for subnet

Side Effects

Affects reward curve shape

Event Data

#	Name	Type	Description
0	arg0	u16	Event field #0 (u16)
1	arg1	u16	Event field #1 (u16)

Code Examples

import { ApiPromise, WsProvider } from "@polkadot/api";
import { stringCamelCase } from "@polkadot/util";

const provider = new WsProvider("wss://entrypoint-finney.opentensor.ai:443");
const api = await ApiPromise.create({ provider });

// Subscribe to ScalingLawPowerSet events
api.query.system.events((events) => {
  events
    .filter(({ event }) =>
      event.section === stringCamelCase("SubtensorModule") &&
      event.method === "ScalingLawPowerSet"
    )
    .forEach(({ event }) => {
      console.log("ScalingLawPowerSet:", event.data.toHuman());
    });
});

Version History

Version:

v101 block 1 2 args

v133 block 1,404,224 2 args

v233 block 4,920,350 2 args

v273 block 5,659,032 2 args

v290 block 5,947,548 2 args Current

Runtime Info

View Source

Pallet Index: 7
Event Index: 21
First Version: v101
Current Version: v393

Back to SubtensorModule Events