# kaal:claim:4755632-038

**Claim.** Reputation based market dynamics lower the cost of duplication relative to centralized micro task work: where a reliable high reputation worker completes the task, duplication can fall from fifteen to five or fewer in a decentralized setup, which is what enables scaling of micro task work.

**Type.** mechanism  **Support.** argued

**Holds when.**

- conditioned on a reliable and high reputation score worker completing the tasks

**Source quote.**

> If a reliable and high reputation score worker completes the tasks, the duplication may be brought from 15 to 5 or less in the

**From.** Wulf A. Kaal, *AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning* (2024), Removing Cost of Micro Task Work Duplication, page 48

**Cite as.** Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632

**Verify.** sha256 of source PDF `972ccebf0c06ac1767a9e443bb95942b7670e806a63c25ee817c368a64c8eca8` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202024%20-%20AI%20Learning%20-%20Decentralized%20Governance%20to%20Optimize%20Human%20Output%20Datasets%20for%20AI%20Learning.pdf

**Topics.** reputation, decentralization, governance-design

**Keywords.** work-duplication, reputation-scores, cost-reduction, scaling, decentralized-governance

**Related claims.**

- restates: https://wulfkaal.github.io/claims/4734750-036
- extends: https://wulfkaal.github.io/claims/3128900-016

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.