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Google Docs is getting me caught in my own loop, but in any case I suggest considering snowfakery integration. The recent paper investigating LLM bias suggests that adjusting a person's name and/or occupation results in changes to the requested output. It is possible that greater randomness at scale could be achieved by adding relevant characteristics to agents using snowfakery to reduce the need for manual input.
Please add comments to this doc re: randomization features:
https://docs.google.com/document/d/1NM_Nx_c0isV-XaOjJwZ39vhPEinNu4bYJJQ0-fP0Pxo/edit?usp=sharing
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