V8 roadmap update: Scalable knowledge engine for convergence of crypto, internet, and AI
The upcoming Decentralized Knowledge Graph (DKG) V8 update represents a significant advancement in Decentralized AI, building on the achievements of previous innovations brought by V6. The DKG V6 materialized knowledge as a new asset class, with its core AI-ready Knowledge Assets setting the stage for advanced AI applications in the domains of real-world assets (RWAs), decentralized science (DeSci), industry 4.0, and more.
Moving forward, DKG V8 introduces autonomous DKG growth, support for Initial Paranet Offerings (IPOs), and also significantly increases scalability. With this, the Decentralized Retrieval Augmented Generation (dRAG) becomes a foundational framework instilled in the DKG V8, significantly advancing a spectrum of large language model (LLM) applications.
DKG V8 is tailored to drive the next generation of AI through multi-modal content, which is crucial for a diversified and robust AI ecosystem. The integration of dRAG and other decentralized AI functionalities allows for a more verifiable and secure application of AI technologies, addressing challenges such as misinformation, data bias, and model collapse.
The present roadmap update focuses on DKG V8 catalysts designed to bootstrap and accelerate these advancements, including enhanced knowledge mining processes, integration across multiple blockchain ecosystems, and scalability improvements aimed at supporting an expansive growth of knowledge assets. These initiatives ensure that DKG V8 not only extends its foundational network effects but also reinforces its position as a cornerstone of future AI developments.
The entire roadmap can be found here.
DKG V8 — Decentralized Retrieval Augmented Generation at scale
“…it (LLM) unfortunately hallucinates most when you least want it to hallucinate. When you’re asking the important and difficult questions that’s where it tends to be confidently wrong. So we’re really trying hard to say how do we be as grounded as possible so you can count on the results?” Elon Musk at Lex Fridman podcast
The truth, however, is an elusive concept, especially if attempted to be captured by a single organization/product. A better approach is through connectivity and transparency achieved by leveraging multiple open-source technologies. Turing Award winner Dr. Bob Metcalfe explained this idea, saying,
“… through connectivity, decentralized knowledge graphs, blockchains and AI are converging — and it’s an important convergence, because it is going to help us with one of the biggest problems we have nowadays, which is the truth.”
Inspired by Turing award winner Dr Bob Metcalfe and his pioneering work, including “Metcalfe’s Law” and the creation of the first computer network, the OriginTrail Metcalfe phase aims to leverage network effects through building a web of verifiable Knowledge Assets for decentralized AI.
The Genesis period of the Metcalfe phase bootstraps the growth of the AI-native V8 Decentralized Knowledge Graph (DKG V8), driving the verifiability of AI via Decentralized Retrieval Augmented Generation (dRAG). Supported by a unique knowledge mining system through the NeuroWeb blockchain, the Genesis period is followed by a “Convergence” period, which further leverages network effects via autonomous knowledge inferencing. The DKG V8 aims to offer a user-centric, trusted knowledge foundation with decentralized AI functionalities, enabling individuals and organizations to participate in a knowledge economy based on neutrality, inclusiveness, and usability — the core principles of the OriginTrail ecosystem.
Genesis — The V8 Foundation (Q4 2023–2025)
“When you connect things together, the value rises really fast because of all the possible connections that can be made, and the friction that’s reduced, and the collaboration that’s enhanced. So it’s good to bet on connectivity.” — Dr Bob Metcalfe
The Genesis period leverages connectivity to achieve network effects across the multi-chain OriginTrail Decentralized Knowledge Graph to reach a growth target of 1B Knowledge Assets. With the introduction of the community-driven NeuroWeb blockchain supporting DKG growth, Genesis bootstraps the OriginTrail AI-Native version 8 for Decentralized Retrieval Augmented Generation (dRAG), introduced to drive a multi-modal ecosystem of AI solutions. The V8 Foundation impact stages were initially described here and are now being expanded.
Genesis period targets:
1B knowledge assets available on the DKG
Minimum 40% of TRAC circulating supply activated for utility
- TRAC locked for network security: 100MM+ TRAC
- Average security collateral per node: 300k+ TRAC
Impact base: Trantor (established in Q1 2024)
One of the prominent features of Trantor was the Library of Trantor, in which librarians indexed the entirety of human knowledge by walking up to a different computer terminal every day and resuming where the previous librarian left off.
Catalyst 1: Knowledge Mining
Incentivized growth of high-quality knowledge in the DKG with Initial Paranet Offerings and Autonomous Knowledge Mining.
✅ Genesis Knowledge Mining RFC
✅ Genesis Knowledge Asset mining
✅ Beta Mining Program
Catalyst 2: Delegated staking
Expanding inclusivity of the DKG infrastructure by enabling TRAC stake delegation across all integrated chains.
✅ Delegated staking dashboard
✅ Documentation
✅ Delegated Staking RFC
✅ DKG node TRAC token delegation release (Gnosis integration)
Whitepaper 3.0
Verifiable Internet for Artificial Intelligence: The Convergence of Crypto, Internet, and AI.
This whitepaper presents a vision for the future of Artificial Intelligence through the concept of a Verifiable Internet for AI, leveraging synergies of crypto, internet, and AI technologies. It introduces the Decentralized Knowledge Graph (DKG) and Decentralized Retrieval Augmented Generation (dRAG) approach to ensure the provenance, integrity, and verifiability of information utilized by AI. It aims to address the challenges posed by misinformation, data ownership, and bias inherent in AI, by synergizing neural and symbolic AI approaches with Web3 technologies.
Impact base: Terminus (established in Q2 2024)
The founding population of Terminus consisted of 100,000 especially healthy scientists, whose ostensible purpose was to publish an Encyclopedia Galactica in order to preserve science and technology. The lack of natural resources forced Terminians to develop extremely high-efficiency tech, as their knowledge due to their position as the inheritors of the Imperial Library allowed them to do so.
Catalyst 1: Multichain growth
Bringing the DKG to any EVM-compatible ecosystem with significant demand (more information in OT-RFC-17).
◻️ NeuroWeb delegated staking release
◻️ Additional blockchain integrations (based on OT-RFC-17)
Catalyst 2: 100x scalability
Increasing scalability in the capacity of publishing Knowledge Assets by implementing random sampling and other scalability improvements.
◻️ NeuroWeb scaling: Asynchronous backing
◻️ DKG V8 random sampling update
Catalyst 3: Paranets and Initial Paranet Offerings (IPOs)
The autonomously operated collections of Knowledge Assets owned by its communities residing on the DKG.
◻️ Initial Paranet Offerings (IPOs) launch
◻️ First IPO launched — the ID Theory decentralized Science (DeSci)
◻️ Cross-chain knowledge mining
◻️ Decentralized Identities on the DKG — name service integration
Catalyst 4: ChatDKG.ai
Interact with the DKG and its paranets using natural language and the power of multiple AI models and agents. Build your own Decentralized Retrieval Augmented Generation (dRAG) product seamlessly.
◻️ Multi modal LLM ChatDKG
✅ OriginTrail World Launch Trusted AI platform
✅ Google Vertex AI support
✅ OpenAI support
✅ NVIDIA Platform support
✅ Chainlink support
◻️ xAI (Grok) support
✅ V1 of unified framework (Whitepaper 3.0)
✅ AI-based knowledge publishing
◻️ AI agent integrations
✅ Additional ChatDKG grant waves
Impact base: Gaia (established in H2 2024)
The human beings on Gaia, under robotic guidance, not only evolved their ability to form an ongoing telepathic group consciousness but also extended this consciousness to the fauna and flora of the planet itself, even including inanimate matter. As a result, the entire planet became a super-organism.
DKG V8
Scalable and robust foundation for enabling the next stage of Artificial Intelligence adoption with Decentralized Retrieval Augmented Generation (dRAG), combining symbolic and neural decentralized AI.
◻️ AI-native Knowledge Assets: native vector support (e.g. knowledge graph embeddings for native Graph ML)
◻️ AI-native search based on DKG V8 decentralized vector index
◻️ Knowledge Contracts
Catalyst 1: Autonomous knowledge mining
Mine new knowledge for paranets autonomously by using the power of symbolic AI (the DKG) and neural networks.
◻️ AI-agent driven knowledge mining
◻️ Knowledge mining library integrations for popular data science languages (e.g. Python, R etc)
Catalyst 2: DePIN for private knowledge
Keep your knowledge private, on your devices, while being able to use it in the bleeding edge AI solutions.
◻️ Private Knowledge Assets repository (Knowledge Wallet)
◻️ Private data monetization with Knowledge Assets (Knowledge Marketplace)
◻️ DKG Decentralized File Storage integration libraries (e.g. IPFS, Filecoin)
