[Open Chat is about to be released: How to achieve data attribution and incentives for on-chain AI chat?] 】
When ChatGPT became the world's most mainstream AI interface portal, most people were accustomed to talking to a black box system: question input, answer output, data whereabouts, and usage rights were unknown. The Open Chat module being built by OpenLedger attempts to completely reconstruct this process - making AI chat not only an experience, but also a contribution. Not only is there a response, but it is also rewarded.
1. Not a chat tool, but an on-chain attribution container
Open Chat is an upcoming on-chain AI chat module in the OpenLedger ecosystem, and its core is not the UI or the chat model itself, but "turning user interactions into on-chain traceable behaviors". Every question, response, and feedback is not just an interactive behavior, but an on-chain operation that can be recorded, attributed, and motivated.
Specifically, Open Chat will:
(1) Record the data source, the model called, and the version of the response used in the conversation;
(2) Match the user's question with the model response as an "interaction event" to generate a PoA record;
(3) Automatically trace relevant contributions (such as providing data, training models, and tuning prompts) to specific addresses, and distribute points or future token incentives accordingly.
This means that you are not "talking to a bot", you are participating in the co-construction of on-chain AI.
2. On-chain incentives: contribution is asset, input is equity
Open Chat will use OpenLedger's points and reputation system to price and distribute user behavior. Example:
(1) If you provide a high-quality dataset and the model uses it multiple times to answer other people's questions, you will automatically receive a PoA score;
(2) If you perform prompt tuning multiple times in a dialog, the system can attribute your impact on the optimization of model performance;
(3) This attribution information will serve as the basis for you to earn token incentives such as points and $OPEN, and may also determine your future access rights and governance weight.
This mechanism makes "every word" no longer a free data gift, but a claimable production behavior on the chain.
3. The true value of Web3 chat: transparent + composable + sustainable
The hidden concern of traditional AI chat products is: Who does the data belong to? Where do models come from? What do users get? Open Chat tries to give the on-chain version of the answer:
(1) All data call links are publicly available and visible, and transparency is the default option;
(2) All model calls and data paths can be combined, which can be used for secondary training, transfer learning and incentive linkage;
(3) All user behaviors are recorded as reputation assets, forming an "on-chain history".
This is not only a product breakthrough, but also a real preview of the integration of AI and blockchain. If Open Chat can run smoothly, it will become the first commonly used daily interaction terminal of the "on-chain AI collaboration city".
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