Thala THL in SingularityNET AGIX tauschen

Thala is a decentralized finance (DeFi) protocol native to the Aptos blockchain. The protocol revolves around two key products: Move Dollar and Thala Swap. Move Dollar, or MOD, is an Aptos-native stablecoin used to transact, facilitate, and interact with various other DeFi protocols in the ecosystem, while acting as a store of value, a medium of exchange, and a unit of account. MOD is an over-collateralized, yield-bearing stablecoin backed by a basket of on-chain assets. Its diverse collateral base of liquid staked derivatives, liquidity pool tokens, deposit receipt tokens, and RWAs ensures its decentralized, censorship-resistant nature without compromising capital efficiency. Thala Swap is an automated market maker that enables dynamic pool weightings. The protocol supports weighted pools, stable pools, and liquidity bootstrapping pools, among others. Thala Swap unlocks additional use cases for MOD, and the protocol's ownership of liquidity enables deep, long-term liquidity that can exist largely un-incentivized. Dynamic pool weightings, and more specifically, the liquidity bootstrapping pool (LBP), powers Thala's third product. Built on top of Thala Swap, Thala's launchpad provides a safe and equitable way of distributing tokens for both projects and market participants. $THL is the governance token of Thala, where token holders can vote on crucial decisions and enact protocol-wide changes. This includes but is not limited to: adjustments to protocol parameters such as swap fees, vault interest rates, mint fees, etc, contract upgrades that are executable only through governance to ensure the continued development of the protocol, treasury deployments, including treasury swaps with partner protocols, contributor compensation, audits, and more, additional product and cross-chain deployments to expand Thala’s product suite.

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.