kaal:claim:4855607-032

GNNs and web3 systems optimize each other through mutual feedback effects, and it is this bidirectional learning, rather than one system merely serving the other, that produces an evolutionary dynamic optimization process.

The integration and optimization of AI models such as GNNs and web3 systems happens in feedback effects between the two systems. Through these feedback effects both systems learn constantly from and with each other which results in an evolutionary dynamic optimization process.

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024), GNN Optimization, p. 48
https://ssrn.com/abstract=4855607 · source PDF

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

• GNNs deployed inside the web3 systems they analyze

mechanismsupport: assertedai-and-agentscitation-and-knowledgeinstitutional-design

The quote above is an exact substring of the source PDF, whose sha256 is eb0b3e62374b45a8fa888c6bde9725e606bcb46cf4b5e74a6e851d9f25099113. Extraction method: pdf-text-layer.
Attestation record: colloquium/attestations/bbc40b23197a49f6...json
Verify the binding yourself: curl -s https://wulfkaal.github.io/claims/4855607-032.md | sha256sum