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Data-owner (client) rewards: off at launch; if offered later, paid in a stablecoin, not DIN

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#283 0 comentarios 0 reacciones 1 asignado Ver en GitHub

Los mantenedores suelen responder en 1 día

@umermjd11 ya está trabajando en esto.

Desde el 26/10/2026.

Evaluación

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Descripción

enhancement

Decision (Abraham)

  1. No token rewards to data owners (clients) at launch. Many participants are put off by crypto and digital currencies, so taking part as a data owner should not involve tokens by default.
  2. If data-owner rewards are offered later, for example by an enterprise training a model that wants to reward contributors, they will be paid in a stablecoin, not DIN.

Current state (conflicts with the decision)

  • Each GI's reward pool is funded and paid in DIN (DINTaskAuditor.depositRewards and claimReward), and the design docs say the same (Developer/design/tokenomics-design.md: "model owners pre-fund each GI's reward pool in DIN").
  • DINTaskAuditor.rewardSplit defaults to 60% clients / 20% auditors / 15% aggregators / 5% treasury, so every model pays clients unless its owner changes it. The protocol's emission subsidy (DinEmission.fundGI) is split the same way.
  • setRewardSplit (owner-only, per model) already lets a model owner set clientBps to 0, but there is no stablecoin payment path.

Proposal

  1. Default to 0% clients at launch, redistributing that share across auditors, aggregators and treasury. For example, keeping their current ratios gives 50% / 37.5% / 12.5%. Final values to be set in #155.
  2. Design an optional, stablecoin-denominated client reward path for later: who funds it (e.g. the enterprise model owner), which stablecoin, and how it's distributed. Design only for now; no implementation before testnet.
  3. Update the design docs (tokenomics-design.md, MECHANISM_DESIGN.md) to record both decisions.
  4. Review public wording (README, partner introduction, white-paper summary) so nothing promises DIN or token rewards to data owners.
Lenguaje dominante
Python
Estrellas
4
Forks
7
Merge medio
3 d 58 min
PR fusionados (30 d)
39

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