Конвертация Newton NEWT в SingularityNET AGIX

What Is Newton Protocol (NEWT)? Newton Protocol is the decentralized policy layer that makes onchain compliance verifiable, programmable, and automatic. Builders define how digital assets can move by setting rules that check every transaction for things like sanctions, identity, or risk before it goes through. By turning compliance into code, Newton Protocol replaces manual reviews with real-time, upgradeable enforcement. Financial institutions, stablecoin issuers, RWA platforms, and AI agents can now meet evolving regulatory requirements directly at the point of transaction without giving up transparency, privacy, or decentralization. Builder defined rules, called policies, use both onchain and offchain data to decide whether a transaction should be approved or blocked. A decentralized network of operators, secured through Ethereum restaking and NEWT, evaluates each policy inside Trusted Execution Environments (TEEs) and generates proofs to show the checks were done correctly. The results can be verified by anyone through the Newton Explorer. NEWT is the native utility token and is used for: *Fees for compliance compute. *Rewards for network operators and delegated staking. *Governance votes that shape the protocol. Who Are the Founders of Newton Protocol? Newton Protocol is the vision of Magic Labs and its co-founders Sean Li and Jaemin Jin. Magic Labs created the first embedded wallet in the crypto industry, helping 200K+ developers create 50M+ wallets to get onchain with trailblazing customers such as Polymarket, Forbes, Helium, WalletConnect, Mattel, and Naver. The Magic Newton Foundation is responsible for driving adoption, enabling open development and supporting decentralization of the Newton Protocol. Management of the Magic Newton Foundation is led by an independent board of directors. What Makes Newton Protocol Unique? Newton Protocol introduces compliance-as-code, a way to make rules verifiable and enforceable directly onchain. Just as smart contracts made execution programmable and oracles made data composable, Newton Protocol makes compliance itself part of the transaction process. Its policy layer, operator network, and oracle adapters work together to check every transaction against defined rules, producing cryptographic proofs that confirm those checks were done correctly. Builders can write and update policies in familiar languages like Rego, while decentralized operators evaluate them and verify results in real time. Because Newton Protocol is fully composable, any dapp, stablecoin, or AI wallet can integrate its policy client to enforce business or regulatory rules automatically, creating a neutral, decentralized compliance layer that connects institutions, regulators, and autonomous agents through verifiable trust.

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.