Why is the integration of AI and blockchain crucial?

In the wave of digital transformation, artificial intelligence drives innovation in various industries with its powerful pattern recognition and decision-making abilities. And blockchain, with its decentralized, tamper-proof, and trustworthy characteristics, has become an important cornerstone of building a new economic system. If the two can be deeply integrated, not only can they create a completely new technological ecosystem, but they can also solve the privacy, security, and trust issues in centralized AI systems.

For example, in decentralized finance (DeFi), AI can analyze market data in real time to provide optimized decision support for smart contracts; in on-chain identity management, AI can generate more accurate user profiles based on on-chain activities, thereby enabling more intelligent personalized services. However, the inherent differences between AI and blockchain have made their integration difficult.

Technological Divide: The Core Challenge of Integrating AI and Blockchain

The integration difficulties of AI and blockchain can be divided into three levels:

1. Logical Conflict: The Confrontation between Determinism and Probability

• The calculation results of the blockchain must be completely consistent to ensure the consensus of all network nodes.
• AI-generated results based on probability may fluctuate due to hardware differences or model structure.
• This fundamental logical conflict leads to incompatibility between the two in data interaction.

2. Resource Conflict: Bottlenecks in Computing and Storage

• AI model operation requires a large amount of computing resources, while the blockchain environment is limited by gas fees and storage costs.
• A simple neural network inference operation could consume hundreds of times the computing resources of blockchain and is not economical.

3. Differentiation of Data Structures

• Blockchain is mainly based on flattened data, while AI models rely on complex high-dimensional matrices.
• Adapting complex AI data to the chain not only requires a large amount of storage, but may also lose the context between the data.

Figure: AI System-Blockchain Integration Issue Relationship Diagram

Breakthrough innovation of the REI framework

The founder of REI is@unit00x0REI provides a practical solution for the integration of AI and blockchain through a clever dual-layer architecture design.

1. Bifurcated Architecture: Separation of Computing Responsibilities

• REI did not attempt to directly embed AI into the blockchain, but rather separated the computing scenarios, allowing AI and the blockchain to each perform their respective duties.
• Blockchain focuses on data validation and storage, while AI is responsible for complex pattern recognition and reasoning, avoiding resource conflicts between the two.

2. Oracle Bridge: Intelligent Context Translator

• As a translator between AI and blockchain, Oracle Bridge not only transmits data but also understands the context and meaning of AI-generated data.
• For example, when AI generates a trading pattern analysis result, Oracle Bridge will convert it into an on-chain executable data format, while ensuring the output determinism.

3. ERCData: New On-chain Storage Standard

• ERCData provides efficient and structured on-chain storage for AI-generated data.
• Compared with traditional flat storage, ERCData supports relationship mapping, context preservation, and multidimensional data parsing, laying the foundation for blockchain intelligence.

4.Memory Systems: Introducing the “memory” of blockchain

• Traditional blockchain smart contracts do not have memory, but REI enables blockchain to have pattern learning and long-term cognitive capabilities by introducing a memory system.

Introduction to REI Token Economics

According to the official white paper data, the introduction to the REI token economics is as follows

Total Supply: 1,000,000,000 coins

Fundraising Status: Approximately 400,000 USDC / 120 ETH (54% of tokens released, ETH price $3,333.33).

Liquidity Distribution:

• 36% of the total.
• Including 220k BASE ETH / 66 ETH paired tokens.
• 6% for additional liquidity on Uniswap v4, Aerodrome, and Wormhole (subject to community vote).
• 40k tokens used for liquidity balance injection.

Circulating Supply:

• The circulating supply at launch is 84%.
• Community/team decides to add extra liquidity after reaching 90%.

Team and Fund Allocation

1. Funding and Research: 5% allocated to multi-signature wallets for research funding and experiments.

2. Team Allocation: 5% allocated to the Sablier vesting contract, unlocking rules: 6-month cliff period, 6-month linear unlocking.

3. Operating costs: 140k for development costs and recruitment.

The token economics design aims to balance liquidity, incentivize development, and support the long-term development of the ecosystem.

Image source:https://0xreisearch.gitbook.io/0xreisearch/tokenomics

Future Scenario: How does REI change the blockchain ecosystem?

1. Smarter DeFi: The REI framework enables smart contracts in decentralized finance to have the ability to analyze complex patterns and optimize in real-time. For example, AI can analyze on-chain fund flows and automatically adjust trading parameters to improve the yield and security of DeFi protocols.

2. Dynamic NFT: Through REI’s intelligent system, NFTs can dynamically update attributes based on on-chain and off-chain data, enabling more interactive application scenarios.

For example, NFT avatars can automatically change based on the holder’s on-chain activities, increasing both fun and practicality.

3. Decentralized Identity Management: The Oracle Bridge of REI, combined with ERCData, can build a more intelligent on-chain identity system, achieving dynamic user profiles and precise services.

4. Intelligent DAO: Through REI, DAO can achieve the intelligence of the decision-making process, such as analyzing member voting behavior and predicting the long-term impact of decisions on the community.

Summary: Insights from technical architecture to ecological layout

REI does not simply splice AI and blockchain together, but creates a new mode of collaboration by deeply understanding the characteristics of both. In the long run, REI not only introduces true intelligence to blockchain, but also provides important references for the evolution of the entire decentralized ecosystem. In the future, with the expansion of the REI ecosystem and the enrichment of application scenarios, we may see a truly intelligent, trustworthy, and open blockchain ecosystem.

The current market value of REI token is about 120 million (as of January 8, 2025), which has increased nearly fourfold in the past month. Please invest rationally and be aware of the risks.

REI is now listed on the gate Innovation Zone, click to trade!

https://www.gate.io/en/pilot/base/unit-00-rei-rei