BitCrystals are Counterparty assets which acts as game currency for EverdreamSoft’s upcoming mobile game Spells of Genesis (SoG) and trading card game Moonga. BitCrystals come about because the game creators believe that players should be able to keep their game assets outside the control of game developers' databases and like a normal economy, allow for free trade of the virtual goods. There was a crowdsale of the BitCrystals token where 70% of the 100 million total tokens were made available for purchase. The remaining 30% were given to early supporters and contributors. All unsold BitCrystals were burned on October 2015. A total of 974.13 BTC was raised during the crowdsale.
Consensus is the open-sourced, decentralized artificial intelligence platform, powered by native cryptocurrency, and built with the vision to improve the governance mechanisms at all levels of organizational structures: community, startup, non-profit, enterprise, city, county or the entire country. Once fully realized, Consensus AI will be able to offer automated, data-driven solutions to the most complex problems of our collective co-existence by modelling the potential outcomes of proposed changes. Consensus will help govern communities, societies and countries in a more cost efficient, transparent and progressive manner. This will be implemented via collective voting, initiatives proposal and funding, execution reporting and intelligent algorithms that will perform project analysis and model the outcomes with the efficiency, budgetary concerns, social, environmental and other factors under consideration. Mission The mission of Consensus is to achieve collective governance based on interdependence using advanced technologies. Abstract There are three main components to the Consensus system: the Sentient blockchain network built with verified nodes that allows running distributed machine learning, the Research Platform with extended data collection and modelling capabilities and the AI Advisor — a standalone system constantly monitoring and learning from the incoming available data that is used to make predictions. Later stages of development will include internally and externally built Dapps for various governance applications.