Introduction: A New Paradigm for Decentralized Intelligence
Artificial intelligence, powered by large language models (LLMs), has transformed how we interact with technology—but its potential remains shackled by centralization. Single-point control introduces risks: bias baked into training data, censorship by unaccountable entities, and opacity that erodes trust. We propose a radical shift: a distributed layer of LLMs where intelligence is safe, transparent, and owned by the community.
Our project introduces a network of nodes, each running a DeepSeek LLM—a high-performance, open-source model—connected via a peer-to-peer (P2P) system. Today, an orchestrator coordinates these nodes, aggregating their outputs into a unified response. Tomorrow, we envision a fully decentralized ecosystem governed by proof-of-stake (PoS) validation, leveraging the Solana network for staking and validator management. This is not a blockchain—it’s a dynamic, adaptive layer of intelligence, free from centralized chokeholds.
Why does this matter? Centralized AI concentrates power; decentralized AI redistributes it. By embedding safety, cryptographic integrity, and community governance into the system, we’re building more than a tool—we’re forging a foundation for humanity’s collective consciousness. This whitepaper outlines our current architecture, our roadmap to full decentralization, and the principles that make this vision possible.
Technical Architecture
A Peer-to-Peer LLM Layer with Solana-Backed Governance
Our system is a decentralized layer of intelligence built on a peer-to-peer (P2P) network of nodes, each running a DeepSeek large language model (LLM). Unlike traditional blockchain architectures, this layer prioritizes dynamic model coordination over static data storage, enabling a resilient, community-driven AI ecosystem. The technical architecture integrates P2P communication, LLM inference, and a Solana-based proof-of-stake (PoS) mechanism for governance and incentives.
P2P Network and Node Operations
Each node in the network hosts a DeepSeek LLM, a lightweight yet powerful model optimized for local execution. Nodes communicate via a P2P protocol, initially orchestrated for request distribution and response aggregation. Users submit queries to the network, which are broadcast to all active nodes. Each node processes the request independently, generating a response based on its LLM instance. Responses are then collected and subjected to a consensus mechanism (detailed below) to produce a final, unified output delivered to the user.
Solana Integration and Validator Governance
Network governance and incentives are managed through smart contracts on the Solana blockchain, leveraging its high throughput and low latency. Validators—nodes that participate in consensus and network maintenance—are permissionless: anyone can join by deploying a validator node and staking EVE, the network’s native currency. Stake can be self-funded or delegated from other EVE holders, with validator rankings determined by total stake. Top-ranked validators process requests and earn rewards, paid in EVE with an inflationary model to sustain network growth. Malicious behavior, such as replacing the DeepSeek model with an unauthorized version, triggers slashing—reducing the validator’s stake as a penalty—enforced by Solana contracts.
Consensus on Responses
To ensure consistency and reliability, the network employs a consensus mechanism for LLM outputs. Nodes accumulate responses to each user request, and a weighted voting system—based on validator stake—determines the final answer. This approach mitigates outliers (e.g., from misconfigured or compromised nodes) while preserving the decentralized ethos. In the current orchestrated phase, a central coordinator aggregates and finalizes responses; in the fully decentralized future, this role will dissolve, with consensus handled entirely P2P.
Scalability and Resilience
The architecture scales via validator participation, with Solana’s infrastructure ensuring efficient stake management and payout distribution. Local LLM execution reduces centralized compute bottlenecks, while the P2P design enhances fault tolerance—nodes can drop or join without disrupting the network. This lays the groundwork for a robust, self-sustaining AI layer.
Cross-Chain Connection via Chainlink Oracles
Our decentralized LLM network thrives on interoperability, connecting seamlessly to Solana, Ethereum, Aptos, Sui, and Base through Chainlink oracles. This cross-chain integration ensures the network can leverage the strengths of diverse blockchain ecosystems, from Solana’s high throughput to Ethereum’s robust DeFi infrastructure, Aptos and Sui’s scalability, and Base’s Ethereum-aligned efficiency.
Chainlink oracles serve as the backbone of this connectivity, providing secure, real-time data feeds and transaction capabilities across chains. Validators stake native tokens—SOL, ETH, APT, SUI, or BASE—alongside the network’s EVE currency, with oracles aggregating and normalizing stakes into the proof-of-stake (PoS) system. Smart contracts on Solana, enhanced by Chainlink, manage validator rankings, reward payouts, and slashing events, while oracles relay these updates to other chains as needed. This ensures a unified governance layer despite the multi-chain architecture.
By tapping into multiple blockchains, the network maximizes accessibility—anyone with tokens from these ecosystems can participate as a validator or delegator. Chainlink’s decentralized oracle network guarantees data integrity and transaction security, making our LLM layer a versatile, blockchain-agnostic platform for decentralized intelligence.