# Stake-Assured Human Feedback

Reppo uses a custom veToken mechanism that lets researchers and AI/ML teams capture the **strength of preferences** in training data, backed by real economic stake. It extends traditional **vote-escrowed tokenomics (veTokenomics)** beyond governance and applies it directly to AI training data.

#### How It Works

1. **Lock REPPO → Receive veREPPO**
   * Voters, who are also data annotators, lock **$REPPO tokens** for a chosen length.
   * In return, they receive veREPPO, i.e. **voting power**.
   * The amount of veREPPO is proportional to both the **quantity of tokens locked** and the lock duration. Longer locks grant disproportionately higher voting power.
2. **Vote Each Epoch**
   * veREPPO holders vote each epoch to predict which collabs, or AI content published by creators, will receive the most support.
   * Voting power decays linearly within the epoch, so earlier votes carry more weight than later ones.
   * At the end of each epoch, net new $REPPO emissions are split 50/50 between creators who received votes and the voters who backed them.
   * This creates a prediction market around AI content while also crowdsourcing AI training data.
3. **Adjust Votes, Not the Lock**
   * Voters can adjust allocations every epoch, but their locked REPPO remains illiquid for the chosen duration.
   * This balances **long-term capital stability** with **short-term governance flexibility**.

#### Key Properties

* **Alignment of incentives**: Token holders are rewarded for surfacing the highest-quality content and publishers.
* **Sticky economics**: veREPPO creates persistent relationships between voters and creators, reducing short-term churn.
* **Anti-farming mechanisms**: Locked stake and epoch-based participation make short-term reward farming harder to sustain.
