Конвертация Antfarm Token ATF в SingularityNET AGIX

What Is Antfarm Token (ATF)? Antfarm Token (ATF) is an ERC20 token used to pay all swapping fees on Antfarm Finance, a decentralized exchange (DEX) on Ethereum. It was introduced to fit all the needs of the different stakeholders in the ecosystem. What Makes ATF Unique? Being deflationary (15% of the paid fees are burned after every swap) is a core property of the ATF token. This mechanism aims at protecting its holders. With every burn, the value of ATF increases theoretically. Liquidity Providers can claim their fees at any moment, without any impact on the pool value or volume as these fees are paid with the ATF token. This has many advantages: - LPs can further custom their strategy by deciding if they should reinvest their collected fees, diversify into new pools or simply keep them in ATF. By introducing the ATF, we give LPs the ability to create new source of earnings, independently from their initial pool strategy. - Crypto-native projects are incentivised to launch liquidity pools with their own token in the Antfarm ecosystem. It gives them the opportunity to put their stack at work. They can use their collected fees (in ATF) to pay their day-to-day expenses as a company. It prevents them from selling their own token to do so. - For very risky pairs, if one asset value goes to 0, the LPs will lose all their stake in the pair. Thanks to Antfarm's fee system in ATF, even if one of the assets goes to 0, they would be compensated with a certain % from swapping fees. This is a strong risk mitigation. Antfarm is even greater when markets are turbulent! This is when most swappers will be drawn to our pools. As ATF are required to pay for all swapping fees, the demand for ATF will be become substantial in such times.

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.