Przelicz BOUNTYKINDS YU na SingularityNET AGIX

◆ What is the project about? The game itself will consist of multiple game genres such as all-time classics like board games, map adventure games, fan-favorites such as role-playing games (RPG) or in-demand games such as first-person shooting (FPS) games or battle royale MOBA games. These games and its areas will be determined by both you, the players and us developers, heavily putting emphasis on the “Play-to-Earn” aspect and “Co-production” aspects of the game. ◆ What makes your project unique? The BountyKinds universe is going to be dictated by this unique achievement system where all contributions to the game would be quantified and scaled to a number. This number will decide the intricate reward values that come with playing the game. The goal of BountyKinds lie in bringing gamers from various cultures together, regardless of whether they are in the real world or the metaverse. To have players aim for their highest achievable values in the hopes of creating a game with world building that affects even our real world in a positive way. ◆ What’s next for your project? With each phase, we will add new games to the world of Bountykinds. Game players will be able to be more strategic about which games they play and how they raise NFTs to fight in them. The special NFTs that will be dropped as rewards each season will be the voting rights for this in-game DAO, allowing players to make their own voices heard in the development of the game. ◆ What can your token be used for? The YU token is a BOUNTYKINDS utility token. YU tokens are used as YU points in the game as a 1:1 exchange ratio. YU point can be used as in-game currency to purchase NFTs or to scholarship NFTs. YU point will be distributed daily as a reward to players for every percentage of in-game points earned in BountyKinds.

SingularityNET is a decentralized marketplace for Artificial Intelligence (AI). The business value of AI is becoming clearer each day; however, there’s a significant gap between the people developing AI tools (researchers and academics) and the businesses that want to use them. Most organizations need a more customized solution than what a single AI project can offer, and research projects oftentimes have trouble accessing a large enough data set to build effective machine learning. SingularityNET closes these gaps. The long-term vision of the SingulairtyNET team is to build a network of complex AI Agent interactions primarily using resources from the OpenCog Foundation. To look at this further, let’s check out their in-house built humanoid robot, Sophia. Sophia uses a combination of AI Agents that range from natural language processing to physical motor controls to operate. You tell Sophia to summarize a video that’s embedded in a webpage. To do this, Sophia sends a request to Agent A. Through its AI, Agent A knows that Agent B specializes in analyzing and transcribing video while Agent C specializes in summarizing text. Agent A pays Agent B and Agent C to perform these tasks while Sophia pays Agent A to coordinate. All the while, each Agent has updated their own AI with the network information gained from these tasks and combines it with their previous experiences and knowledge. Therefore, the collective AI of the system grows at a faster rate than any individual Agent. SingularityNET wants to build a decentralized protocol for creators and users of AI to interact with each other, to not only help individual projects benefit by leveraging the strengths of other AI systems that might handle certain tasks better, but ultimately to develop SingularityNET into a functioning AI system itself, with nodes on the network making their own decisions about how to connect services and proactively provide solutions to academic and business problems. Tokenizing the network creates an AI marketplace where AI developers and sellers can not only link with others who might assist in building more robust AI solutions, but also allow AI services and products to be bought and sold, creating revenue and establishing price points where none have existed before. The SingularityNET team boasts 50+ AI developers and 10+ PhDs. Dr. Ben Goertzel leads the group as CEO and Chief Scientist. He’s also the Chairman of the OpenCog Foundation and the Artificial General Intelligence Society, as well as the Chief Scientist at Hanson Robotics, the partner company helping bring SingularityNET to life. Dr. David Hanson, founder of Hanson Robotics, serves as the Robotics Lead. Most famously, Hanson Robotics built Sophia, the most expressive humanoid robot to date. Sophia is also a proud member of the SingularityNET team. The team recently released the alpha version of the platform and is planning on launching a public beta sometime in the middle of 2018.