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Author: Admin | 2025-04-28
Mine for “training data”, to participate in training a large and powerful language model.The key challenge in building a powerful oracle AI is creating a comprehensive database of question-answer pairs for the AI to learn from. Previous attempts have relied on manual annotation, curation or scraping of existing databases, which are time-consuming and prone to errors. To address this issue, we propose a novel approach called “information mining”, which incentivises users to ask unique and useful questions by rewarding them with Luci Credits.Information Mining (IM) is the process by which humans are rewarded for transfering their expertise and knowledge to the AI, in annotated question-answer format.Users participate in the information mining process whenever they ask a unique, specific, and useful question on the LUCI platform. Users can choose to get paid for their efforts in the native currency of the LUCI platform, i.e. LUCI Credits. These credits will be used to avail of premium LUCI AI assistant features in the future — and they can also be traded on decentralised exchanges. The total supply of LUCI credits ever minted will be capped at 100 Billion tokens — and this amount would only get minted if our goal of collecting 100 Billion unique, high-quality question answer pairs is reached.Since the process of minting new LUCI credits is linked solely to the process of information mining, the token supply will directly correspond to the size of the dataset that LUCI has collected so far — which can be seen as a proxy
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