將 Vertex Protocol VRTX 轉換為 SingularityNET AGIX

Vertex’s VRTX token serves as the cornerstone of Vertex Edge's decentralized exchange (DEX) network, integrating spot trading, perpetuals, and money markets into a unified order book across multiple EVM-compatible chains. The tokenomics of VRTX are designed to promote sustainable growth, incentivize participation, and optimize the ecosystem's efficiency. Trading Rewards & Emissions To foster active engagement, Vertex regularly distributes VRTX tokens as trading rewards to users participating across the chains supported by Vertex Edge. The current phase, known as the Ongoing Incentives Phase, allocates 34% of the total VRTX supply—amounting to 340 million tokens—over more than 72 weekly epochs. Each epoch spans seven days, with a predetermined pool of VRTX tokens distributed to traders based on their proportional trading activity during that period. Staking Mechanism VRTX staking encourages long-term commitment and rewards participants effectively. Key features of the staking model include: - Sustainable Rewards Model: The staking rewards structure is diversified across three primary streams: 1. Base APY: A portion of the reduced VRTX emissions is allocated to provide an initial annualized yield of 15%, tapering to 1.5% over three years. 2. Fee APY: Trading fees are used to repurchase VRTX, which is then added to the staking pool. Initially, 50% of all protocol fees are dedicated to these buybacks, with a planned increase to 100% over time. 3. Loyalty APY: Revenues from early unstake penalties are redistributed as additional yield to long-term participants. - Auto-Compounding Rewards: Staking rewards are automatically compounded, increasing the user's staked balance without manual intervention. This process utilizes USDC from the protocol's trading fees to buy back VRTX, which is then distributed back into the staking pool. - Immediate Access to Maximum Rewards: VRTX stakers can earn the highest possible yield immediately upon staking, simplifying participation and enhancing accessibility. - Flexible Unstaking Options: Users can unstake their VRTX tokens at any time, subject to a 21-day cooldown period. For those preferring immediate access, an option to bypass the cooldown is available with a 10% early withdrawal penalty. Penalties collected from early withdrawals are redistributed to the subsequent week's yield pool, benefiting long-term stakers. Market Maker Incentives Recognizing the pivotal role of market makers in maintaining liquidity, Vertex maintains a tiered rebate system linked to the amount of VRTX staked: - 3 million VRTX or more = 0.75 basis points rebate - 1 million VRTX = 0.65 basis points rebate - 300,000 VRTX = 0.55 basis points rebate - 3,000 VRTX = 0.15 basis points rebate The tiered rebate structure incentivizes deeper liquidity provision by offering higher rebates to market makers with greater stakes, thereby aligning their interests with the protocol's long-term growth. The VRTX token is natively available on Ethereum L1, Arbitrum L2, Base L2, and Blast L2 networks. In summary, Vertex’s VRTX tokenomics are strategically designed to foster sustainable ecosystem growth, incentivize active participation from various stakeholders, and ensure the long-term alignment of interests within Vertex Edge's network of exchanges.

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.