Intercambiar Victoria VR VR a SingularityNET AGIX

Victoria VR: Open-Source AI Platform for the 3D Internet Victoria VR is an open-source AI platform that transforms natural language prompts into 3D content and next-generation applications. It provides a full-stack environment for creating, publishing, and operating immersive spatial experiences across desktop, VR, and mobile — forming a foundation layer of Operating Reality and the Immersive Internet. Key Sectors and Applications • AI Platform & Infrastructure: Prompt-to-3D platform with hybrid cloud + decentralized contributors • Generative AI: Spatial models convert text to assets, worlds, and logic. • AI Robotics & Agentic AI: Autonomous, tool-using agents with planning and memory that execute multi-step tasks • AI-Powered Avatars: Voice-ready, self-sufficient NPCs/assistants across devices as fully rigged 3D characters with true spatial movement (navigation, gestures, lip-sync). • Spatial Computing: Production runtime for physics, networking, identity, deployment, and analytics across VR, mobile, and desktop. • Enterprise Applications: No-code twins, configurators, virtual stores and showrooms. • Education & Training: No-code modules for simulations, learning, and workforce training. • Gaming: Games and experiences building, AI avatars and cross-platform publishing. • AI Infrastructure: Orchestration of multi-model AI for text, image, and 3D data. • Generative AI: Prompt-based creation of environments, assets, and logic. • AI Robotics & Agentic AI: Autonomous avatars functioning as digital employees. • Spatial Computing: Cross-platform tools enabling real-time interactive applications. • Education & Training: No-code modules for simulations, learning, and workforce training. • Enterprise Applications: Collaboration, data visualization, and AI copilots for operations. • AI-Powered Avatars: Deployable assistants in retail, healthcare, and digital services. Core Components of the Platform • VR AI Builder – zero-code creation engine (prompt-to-assets/logic/worlds). Users can build maps, games, training modules, and enterprise automations. NFTs Land-gated publishing to VR/mobile/desktop; subscriptions + marketplace tie-ins. • AI Hub – scalable orchestration layer integrating multiple AI models (text, image, 3D). Powers prompt-to-world, prompt-to-texture, and prompt-to-3D object pipelines, and provides a no-code agent factory (persona, tools, memory, knowledge). • AI Avatars (agents) – autonomous “AI employees” with memory, personality, tool use, and multilingual conversation. Deployable across education, retail, healthcare, operations, and collaboration. • AI Verse — The networked runtime and economy layer for worlds and agents. Runs on a hybrid production cloud + decentralized participation, provides identity and access (profiles, land-gating), payments and participation rewards, telemetry/analytics, moderation/compliance, and asset/model/dataset catalogs with interoperability and SDKs/APIs for creators and enterprises. • Magic Madness – flagship PvP on-boarding game (Steam) used as a growth funnel (tournaments, esports, cosmetics) into the Builder/Agents/NFTs Land economy. Target Audiences • Independent creators & studios – zero-code content creation. • Brands & retail – virtual storefronts, AI-powered customer service. • Education & training providers – simulations and AI tutors. • Enterprises – AI copilots, collaboration environments, and spatial data rooms. • General users – immersive applications with built-in onboarding experiences. Why It Matters • Time-to-content collapses: Creation cycles shrink from weeks to hours. • Accessibility: Zero-code tools and cross-device access reduce entry barriers. • Economy with utility: $VR token underpins transactions, subscriptions, and rewards. • Sustainability: Utility-driven design replaces speculative models. • Market alignment: Positioned across AI infrastructure, spatial computing, and agentic AI—sectors forecasted to exceed $1 trillion in the next decade

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.