แปลง Indigo Protocol INDY เป็น SingularityNET AGIX

What is Indigo Protocol? Indigo is an autonomous synthetics protocol for on-chain price exposure to real-world assets, built on Cardano, and has brought the first Native Stablecoin to the Cardano ecosystem, iUSD. How does Indigo work? Indigo allows anyone to create synthetic assets, known as iAssets. iAssets can be created using currencies such as stablecoins and ADA. They have the same price effect as holding the asset being replicated. This allows you to gain profit from the increase in price of an asset without owning the original asset itself. What are Synthetic Assets? Synthetic Assets give users exposure to a variety of assets without the need to actually own the underlying asset. These assets can be anything that has value in the real world. With its transparency, efficiency, low barriers to entry, and decentralized traits, the Blockchain can smoothly deliver all these assets to anyone with access to the Internet. The INDY governance token comes from its use in the Indigo DAO voting process. The total supply of INDY will be 35M tokens with a 6-decimal precision. The max supply of INDY will be distributed to protocol users, stakers, and LPs over the course of four years. We believe in a fair distribution of the INDY tokens to the early adopters of the protocol, therefore there will be NO community pre-sale via ICO/ISO/ISPO. What is the Indigo DAO? Indigo is a decentralized community-led project. The Indigo DAO owns the Indigo Protocol, including the application, website, and all intellectual property. A DAO (decentralized autonomous organization) is like a company, but instead of being incorporated in a country is established in a blockchain. You, the Indigo community, control the decisions for the Indigo DAO. You can cast your votes using the INDY token. A forum has been established to help facilitate community votes. All Indigo community members are encouraged to join the forum to propose, discuss and vote on ideas to guide Indigo’s future direction.

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.