# kaal:claim:5245185-040

**Claim.** The feedback loop mechanism that makes the proposed DAO centric web3 governance system adaptive to AI agent evolution and ubiquity is the same mechanism the author has advocated for almost a decade.

**Type.** design  **Support.** asserted

**Holds when.**

- WDAG based dynamic governance

**Source quote.**

> Leveraging feedback loops—as author has advocated for almost a decade—it adapts to AI agents' rapid evolution and ubiquity, ensuring efficient, fruitful oversight.

**From.** Wulf A. Kaal, *How can we Best Monitor AI Agents* (2025), 7.12. Scalable Convergence via Real-Time Data, page 17

**Cite as.** Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185

**Verify.** sha256 of source PDF `4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202025%20-%20How%20can%20we%20Best%20Monitor%20AI%20Agents.pdf

**Topics.** dynamic-regulation, dao, governance-design

**Keywords.** feedback-loops, dynamic-regulation, dao-governance, anticipatory-oversight

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