แปลง The Employment Commons Work WORK เป็น SingularityNET AGIX

The $WORK Rewards (“$WORK”) of the Employment Commons (the “Commons”) aligns economic incentives between Commons Members to support the future of the independent, self-sovereign worker. There are two types of Members in the Commons; Employee and Coalition. - Employee Members are independent workers actively co-employed through the ecosystem - Coalition Members provide new Member referrals, technology and/or services to the Commons - Initially, Employee Memberships are limited to those who are qualified to work in the United States - The Commons anticipates eventual global expansion - All U.S. and international persons, organizations, and DAOs are qualified to be Coalition Members The Commons economic model allows for Stakeholder Capitalism in a collectively owned, for-purpose (and profit) digital employment cooperative, as discussed in the Opolis Off-White Paper. $WORK is designed as a Cooperative Patronage Rewards token used as a means of incentivizing stakeholders to engage in certain patronage activities deemed valuable by the Commons. $WORK tokens are a unit of account to determine the amount of patronage profits a Member is entitled to if/when they are declared by the Commons. Functionally, the Commons offers Employee Members the ability to: - Reap the benefits of group purchasing power for reduced costs on products and services (e.g. group healthcare insurance, technology tools, and shared services) - Share in profits with other stakeholders based on patronage - Become an “owner” in a shared network that protects its Members’ best interests - Participate in the governance of the Commons Members earn $WORK for patronage in the Commons ecosystem via: - Using the Commons for the processing of payroll, employment benefits, and shared services as an Employee Member - Direct referrals of new Employee Members - Staking rewards by staking $WORK - The Commons Trustee, Opolis, Inc., as a team member, contributor, advisor, or shareholder

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.