將 Gilgeous GLG 轉換為 Gems GEM

Gilgeous is here to unite the whole meme crypto world, inspired by the top memes Doge, Shiba Inu, Baby Doge, Dogelon, Saitama and Cult. We are a versatile community driven project that will transcend space & time with a roadmap focused on entertainment. Our community is constantly growing and talented people are joining us, therefore it is sure that the utility of our GLG will be expanded. Gilgeous was created by a group of crypto enthusiasts & lovers of old school cartoons. Join our fun filled community for lots of memes, contests, giveaways & much more.

Gems is a protocol for contracting workers to perform micro tasks. Workers stake tokens in order to prove validity of their tasks and earn a reusable computed trust score, enhancing the cost-efficiency of the network while democratizing access to scalable micro task workers. Gems, a decentralized, open-sourced, human task crowdsourcing protocol built on top of the Ethereum blockchain. Using the Gems Protocol, anyone can tap into the power of scalable micro task workers without needing to worry about task verification, trust, or payments. Gems is designed to disincentivize malicious actors and reward fair players. The Gems Protocol is comprised of a staking mechanism to ensure task completion, a trust mechanism to track worker integrity, and a payment system to reduce transaction fees. The GEM token, a multi-utility token, fuels the Gems Protocol. Gems uses its token mechanism to enforce the behavior of all participants, instead of being regulated by a single operator. Gems Protocol, aptly named the Gems Platform. The Gems Platform connects those who want work done (henceforth known as “requesters”) and human workers (henceforth known as “miners”). By using the Gems Protocol, the Gems Platform removes socioeconomic barriers that exist in centralized alternatives (e.g. large fees, market inefficiencies, need for bank accountants, etc.). Anyone can build on top of the Gems Platform, creating “modules” that are interfaces for particular human tasks. The first module the Gems team will build focuses on labeling data for AI.