Gnosis is a prediction market platform built as a decentralized application (dapp) on the Ethereum network. The platform includes a multisig wallet as well as a Dutch Exchange, but we’re just going to focus on their flagship product, the prediction market, for this guide. More than just building a prediction market, though, Gnosis is creating an entire infrastructure layer that you can use to build your own prediction market app. A prediction market utilizes user predictions to aggregate information about future events. Users in the market trade tokens that represent the outcome of a certain event. Because some outcomes are more likely to occur than others, these tokens end up having different values in the open market.Olympia is Gnosis’s test version of their prediction market app. They host free tournaments in this product, so you get a chance to try it out without having to spend money. Every two days, the team allocates you a certain amount of Olympia (OLY) tokens that you use to bet on different prediction markets. If you do well in the market, you win Gnosis (GNO) tokens. You can sell GNO on the open market which gives them some monetary value. The next phase of Gnosis is its Management Interface. The team released a beta version in December 2017 but haven’t announced a date for the main net release. The Management Interface is basically your dashboard for Gnosis’s prediction markets. It’s here that you check your balance, participate in markets, and even create your own market. Gnosis includes two types of tokens: Gnosis (GNO) and OWL. GNO are the ERC20 tokens that the team sold during their ICO. They created 10 million GNO tokens and aren’t minting any additional ones. These are the tokens that you see being traded on the open market. By staking GNO, you receive OWL tokens. To do this, you must lock your GNO in a smart contract making them non-transferable. The amount of OWL you receive is dependent on the length of your lock period as well as the total supply of OWL tokens in the market. The team is aiming to have 20x more total OWL than the average amount of monthly OWL usage over the previous 3 months. The Gnosis team is led by Martin Köppelmann (CEO), Stefan George (CTO), and Dr. Friederike Ernst (COO). Köppelmann and George began working on the platform in January 2015 as one of the first ConsenSys partners. By August of that same year, they launched the alpha product as the first major dapp on Ethereum. In April 2017, the project held somewhat of a controversial Initial Coin Offering (ICO). Using a dutch auction style of raising funds, the team hit their $12.5 million hard cap in ten minutes while retaining 95% of the tokens. Amidst backlash, the team locked the tokens in a vault and have promised not to dump them on the market. They’ll give at least a three-month warning before selling any of the tokens. The team includes quite a list of reputable advisors including Joseph Lubin (Ethereum co-founder and ConsenSys founder) and Vitalik Buterin (Ethereum founder and chief scientist).
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.