# kaal:claim:2959730-025

**Claim.** In the Numerai model, the use of artificial intelligence achieves efficiency and optimum capital allocation by reducing overhead costs, because there is no cost of human capital.

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

**Holds when.**

- crowdsourced data scientist models synthesized into a meta model
- cryptocurrency incentivized contribution

**Source quote.**

> In the Numerai model, the use of artificial intelligence ultimately helps achieve the goal of efficiency and optimum capital allocation by reducing overhead costs because there is no cost of human capital.

**From.** Wulf A. Kaal, *Blockchain Applications and Fee Structure Developments in Private Investment Funds* (2017), V. Private Investment Funds' Use of Blockchain Technology, page 14

**Cite as.** Wulf A. Kaal, Blockchain Applications and Fee Structure Developments in Private Investment Funds (2017). SSRN: https://ssrn.com/abstract=2959730

**Verify.** sha256 of source PDF `ebd86972d8817b0c1c80326ae5564476983cedba3f258ff3b2610f156b93fb50` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202017%20-%20Blockchain%20Applications%20and%20Fee%20Structure%20Developments%20in%20Private%20Investment%20Funds.pdf

**Topics.** ai-and-agents, risk-and-incentives

**Keywords.** artificial-intelligence, overhead-costs, barriers-to-entry, crowdsourcing

**Related claims.**

- extended_by: https://wulfkaal.github.io/claims/3002908-038
- extended_by: https://wulfkaal.github.io/claims/3409548-008

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