OpenLedger Proof of Attribution: tracing LLM outputs back to contributed data
Quote138 words
Argues centralized LLMs are black boxes with no attribution to training data, and that OpenLedger's onchain Proof of Attribution lets any output be traced to datasets and rewards contributors when their data is used.
Key claims
Every dataset and contribution to models trained on OpenLedger is recorded and verified onchain
Outputs can be traced back to underlying data sets and contributors rewarded
Think many are still undervaluing the relevance of @OpenledgerHQ.
Centralized LLMs largely run in a black box, where the model was trained on huge amounts of data, with little to no transparency on what data leads to what LLM output.
Think about it: if you wrote a research paper about OpenLedger that has made it into the OpenAI training data, ChatGPT might answer OpenLedger-related questions relying on what is your IP.
Just that nobody knows (no attributions) and that you as a data contributor, get nothing.
OpenLedger‘s proof of attribution changes that.
Every dataset and contribution to AI models trained on Openledger, is recorded and verified on-chain.
That means we can trace back any LLM output back to the underlying data set, rewarding contributors whenever their data is used.
Pretty cool, no?
DYOR on @OpenledgerHQ anon ↓
x.com/zerokn0wledge_/status/1930007502684631483
QUOTING @OpenledgerHQ
One of OpenLedger's core missions is to bring attribution to AI Today, centralized models take your data, train on it, and give nothing back. No credit. No visibility. No share in the value With OpenLedger, that changes When you build on our protocol, every dataset and contrib
One of OpenLedger's core missions is to bring attribution to AI Today, centralized models take your data, train on it, and give nothing back. No credit. No visibility. No share in the value With OpenLedger, that changes When you build on our protocol, every dataset and contrib
What came next · since 05 Jun 2025
Since then
Zero has written 14 more pieces on OpenLedger since this one.
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