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jbaxter avatar jbaxter commented on August 16, 2024 2

Love this. Very open to suggestions. Currently, we do release a note_status_history.tsv file which contains note status histories. It is possible (although very high-effort) to run the public code on the data at each time step: since we only run the algorithm once per hour, on the hour in production, you can pass every individual hour as a timestamp to main.py to filter out all ratings newer than that timestamp. Then you'd have manually verified that the public code, run on the public data, can re-create note_status_history.tsv (which you can verify matched production via screenshots or a web-archive-type approach). Be aware that caching and eventual consistency delays can cause it to take up to an hour in some cases for new note scores to propagate everywhere. So basically it is currently possible to do this verification, although is way too much effort, and I'd love to think of something much simpler to allow external verification more akin to a checksum.

from communitynotes.

maietta avatar maietta commented on August 16, 2024

Aside from displaying the git commit timestamps and commit hashes on the website/app, I don't know of a good solution.

The only other feasible option would be a 3rd party, independent DevOps verification team who could verify these deployments and provide the status reports publicly.

I think it's on us to trust that the algo is what's being used in production.

from communitynotes.

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