In recent days, I have been working on @SaharaLabsAI's closed test network AI "labeling to earn", which is also one of the huge financing projects in the AI track, and it is limited to 10,000 whitelists for testing. After the test, I summarized the highlights and problems: 1. There are two roles, labeler and reviewer, which are randomly assigned 2. The user experience and guidance are very good, and you can basically start without any obstacles. You can win points by completing tasks, or you can punch in every day to receive the minimum living allowance. 3.
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CM
@cmdefi
12-08
AI这个赛道,起初我最先想到的就是labeling to earn,因为它最容易发挥区块链特质,优势显而易见,比如全民打标签带来数据的透明、多样化、规模化,用户通过贡献数据获得奖励,AI获得更专业的数据,甚至可以针对某个领域进行垂直激励,最终 AI转化来的商业收益,可能也会打破play to earn的困境。 x.com/SaharaLabsAI/s…
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