Lunyr (pronounced Lunar), however, is one of the most unique implementations of blockchain yet, aiming to be a decentralized, and peer-to-peer knowledge database, aka the “Blockchain-based Wikipedia”. It strives to be the most innovative and comprehensive source of knowledge in domains like crypto projects, technology, finance, law, investment, and more, on the web. The cofounders of Lunyr are Arnold Pham, Andrew Tran, and Christopher Smith. The Lunyr ICO ended on 26th April 2017, with around USD 0.3 million in capital being generated. The open beta was then launched on 30th January 2018. It is based on the Ethereum network. The reward system which enables writers to earn rewards for authoring articles was also launched at the same time, allowing writers to earn LUN coins in exchange for quality pieces. Initially, Lunyr will mostly focus on the world of cryptocurrencies and related domains, with emphasis on up and coming projects. After an active and dedicated community of readers and writers is developed, Lunyr will branch into other areas such as science and technology, investment, finance, etc. Lunyr is unique in its vision, and usage of the blockchain technology in order to provide a comprehensive, decentralised, crowdsource, and peer-reviewed vault of knowledge, open and free to everyone. Lunyr aims to not only be a knowledge encyclopedia for the web, but also intends to enhance the blockchain technology by giving DApps (Decentralised Applications) the ability to tap into the knowledge base and access real-time data. This innovative feature can be used in applications ranging from Virtual Reality to Artificial Intelligence. The decentralised and peer-to-peer nature of Lunyr allows all content on the knowledge-base to be free from manipulation, and censorship. Since all submissions are peer-reviewed by the community, the chances of incorrect or dubious data making its way onto the encyclopedia are very low.
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.