Конвертация CV3 CV3AI в SingularityNET AGIX

🚀 What Is CV3ai? CV3ai is an agentic recruitment platform that uses AI + blockchain to serve both sides of hiring — helping candidates win better jobs faster, while giving employers access to authenticated, pre-vetted talent with real-world credibility. It’s not just a job board. It’s an AI hiring agent and on-chain trust layer designed to automate, enhance, and verify the most critical parts of recruiting. 🧠 For Candidates (Job Seekers) The Agent Does: Discovers high-fit roles based on your skills, goals, and preferences. Enhances your résumé using AI to better match each role. Scores and ranks jobs by match quality. Applies on your behalf (with approval). Verifies your experience (work history, GitHub, LinkedIn) on-chain. Core Tools: CV3 Engine – AI résumé enhancement + job fit scoring Selfcruitment™ – You pick the job, CV3 handles the rest Trust Layer – Verifies your claims with public data and APIs 1-Click Apply – Integrated job board submission with tailored résumé 🏢 For Employers and Agencies The Agent Does: Sources talent that actually fits the job spec — both technically and culturally. Validates candidate history via GitHub, LinkedIn, public records, and AI cross-matching. Generates shortlists of matched, verified résumés. Automates outreach and applicant tracking. Prevents fraud with on-chain résumé authentication. Core Tools: Verified Résumé Layer – LinkedIn, GitHub, and work history validation Talent Search Agent – Matches real candidates with active intent Score-Based Shortlisting – Prioritizes by fit and trust Agency Dashboard – Manage hiring pipelines across clients 🔗 Blockchain-Backed Credentials CV3ai uses the Base blockchain to create the first public, immutable résumé layer, ensuring: Tamper-proof work history AI-generated trust scores Resume + job matching audits Decentralized professional identity 💸 Token + Monetization Token: $CV3ai (ERC-20 on Base) Model: Credit-based system (buy credits with fiat or $CV3ai) Use Cases: Resume enhancements, job applications, credential verification Goal: Enable non-crypto users while building an on-chain credential economy

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.