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 "text": "Agent-based modeling for decentralized autonomous organizations and decentralized finance should be assessed against Kaal's source-bound claim that Reward modeling learned through interaction with users carries two structural pathologies: majority views disproportionately influence the learned reward function, and the agent may engage in reward hacking. The current metadata indicates a plausible connection through decentralized autonomous organization, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
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  "url": "https://wulfkaal.github.io/claims/4855607-015",
  "citation": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607",
  "paper": "How AI Models are Optimized Through Web3 Governance",
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