Intercambiar CLever Token CLEV a SingularityNET AGIX

1. What is CLever? CLever gives CVX holders a continuous, automated way to harvest bribes and rewards AND allows users to claim their future bribes and rewards today. 2. Why use CLever? ● Automate the process of earning yield with CVX: locking, voting, collecting bribes, even re-locking in Convex as needed! ● Claim your future yields today! You can even swap them to CVX and re-deposit them to earn even more yields. ● Your future yield “loan” is non liquidating, low risk, and has certainty in funding costs 3. How does it work? Users lock their CVX and can immediately claim 50% of their future yields as clevCVX, for zero cost. Users can swap clevCVX for CVX using either the Curve liquidity pool or the clevCVX Furnace. For users that want to create leverage, they may re-deposit their CVX to claim and swap even more, looping as much as they wish to a maximum of ~2X their initial CVX deposit. All CVX locked with CLever will itself be vote-locked with Convex and used to vote for maximum bribe income, with all bribes swapped to CVX and claimable as more clevCVX. 4. What is CLever Token(CLEV)? CLEV will be a CVX producing #RealYield machine — vote-locked CLEV tokens will earn at least 75% of the CLever platform’s fee revenue (the rest goes to the treasury for growth & opex, final % TBA) and they will also boost your yield in the clevCVX-CVX LP. These LP rewards will create a powerful incentive for users to deposit their CVX into the liquidity pool, which in turn will enable instant swapping from clevCVX to CVX and thus allow future-yield-claimoors to take leverage! LPs earn yields on their fully liquid CVX and borrowers lever up their bribe income.

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.