I agree re the algos. Attestation can form part of the raw data that the algos needs to surface and extrapolate from.
Will dive into GrapeRank; looks cool.
Trust is a vector: about what and to what extent. Direction AND magnitude.
We’ve been talking about trust attestations for almost two years.
After many panel discussions and Nostr threads, a “few of us” came to the realization that, while having a NIP for “explicit trust attestation” would be great, getting clients to implement and end users to author “explicit attentions” reliably … would be a big ask … with little actual reward in the end.
In order to determine “actual” trustworthiness (of content or users), having an incomplete (low usage) or imprecise (poor usage) collection of “explicit” trust markers will not replace the need for algos to process any number of “implicit” trust markers that are already abundant and available to harvest on Nostr.
This is why nostr:npub1e2vcfcr6yea25e67ryktrtd0a24dsedzwlprj6v45997uhw27p3qtzkq3u and I developed the GrapeRank library … a pluggable, extensible, and configurable algo engine for determining trusted users and content. It can (easily be extended to) ingest any number of content “kinds” (including explicit attestations) to calculate a weighted list of trusted users on any given topic in “your network”.
https://github.com/Pretty-Good-Freedom-Tech/graperank-nodejs
nostr:npub1cn670f663n3ks02jnnlsvd5y88zjnefy8343ykaxs7y3nzzketrsrjwt8a, I’m glad you’re working on explicit trust attestations … but in the end we’re still gonna need algos to extract implied trust from Nostr. Happy to discuss further.
I agree re the algos. Attestation can form part of the raw data that the algos needs to surface and extrapolate from.
Will dive into GrapeRank; looks cool.
Trust is a vector: about what and to what extent. Direction AND magnitude.
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