1.Introduction

In 2022, with the emergence of ChatGPT, generative AI reached a groundbreaking milestone. The astonishing capabilities of large language models (LLMs) not only demonstrated AI's exceptional progress in natural language processing but also revealed the dawn of artificial general intelligence (AGI). From DALL-E to Midjourney, from GPT-3 to GPT-4, breakthroughs in generative AI across text, image, audio, and even video domains are leading us into an unprecedented era of creativity.

This series of breakthrough advancements has not only changed the technological landscape but also opened up new prospects for the integration of Web3 and blockchain technologies. From intelligent management of decentralized autonomous organizations (DAOs) to AI-based smart contract optimization and personalized decentralized finance (DeFi) services, AI empowerment is unleashing the market potential of blockchain applications.

In recent years, the progress of AI technology has grown exponentially. From early symbolic AI to today's deep learning and large language models, AI's capabilities have far exceeded our expectations. As Franklin and Graesser (1997) pointed out, AI Agents differ from traditional software in their ability to autonomously perform tasks and adapt to new data and environmental changes. This adaptability has laid the foundation for AI applications across various fields.

However, with the development of AI technology, we also face a series of challenges such as data privacy, computing power allocation, and algorithm transparency. These challenges highlight the importance of Web3 technology. The core concepts of Web3, such as decentralization, transparency, and user autonomy, provide new ideas for solving the pain points in AI development.

Web3 technology can play an important role in various key modules of AI development:

  1. Data: Web3's decentralized storage solutions can provide AI with more secure and transparent data management methods while protecting user privacy.

  2. Computing power: Decentralized computing networks can achieve fair distribution of computing power, avoid monopolies, and improve resource utilization efficiency.

  3. Algorithms: Smart contracts and blockchain technology can ensure the transparency and auditability of AI algorithms, enhancing user trust in AI systems.

The AI-Centric approach is not just about applying AI technology to existing blockchain systems, but fundamentally rethinking and redesigning the entire blockchain technology architecture and reshaping the ecosystem. This approach can bring about the following revolutionary changes:

  1. Intelligent decision-making: AI can process and analyze massive amounts of data to make faster and more accurate decisions.

  2. Personalized experience: Through deep learning and natural language processing, AI can provide highly customized services for each user.

  3. Automation and efficiency: AI agents can autonomously execute complex tasks, greatly improving efficiency and reducing costs.

As a globally renowned AI pioneer public chain, Near Protocol provides strong technical support for the integration of AI and Web3. Its modular design concept and advanced technical features in chain abstraction provide a solid foundation for innovative projects like Sender Network:

  1. Data Availability (DA): Ensures AI systems can quickly and securely access required data while ensuring system security.

  2. Interoperability: Enables seamless communication and interaction between different AI systems and blockchain networks.

  3. Chain Abstraction: Simplifies the complexity of blockchain operations, making it easier for AI Agents to collaborate.

Against this background, Sender Network emerges as an AI-Centric decentralized AI transaction execution network. Built on the OP Stack and supported by Near Protocol's technology, Sender Network has the following core features:

  1. Intelligent interaction: Through AI-driven natural language interaction interfaces, users can easily interact with the blockchain without needing to understand complex technical details.

  2. Optimized execution: Dynamic Solver bidding mechanisms ensure that each transaction is executed in the most optimal way, improving efficiency and reducing costs.

  3. Cross-chain compatibility: Powerful chain abstraction capabilities allow Sender Network to seamlessly connect with multiple blockchain networks, providing users with a wider range of choices.

  4. Developer ecosystem: Sender Network provides developers with an innovative platform for developing and deploying intelligent AI Agents, driving the development of the entire ecosystem.

Looking ahead, Sender Network has the potential to become a key bridge connecting traditional users and the blockchain world. By integrating user experience, cutting-edge AI technology, and the advantages of modular blockchains, Sender Network is opening up the market landscape for the next generation of decentralized finance (DeFi) and Web3 applications.

Just as the early Bitcoin community envisioned autonomous economic entities, and Mike Hearn's vision of autonomous vehicles at the 2013 Turing Festival, Sender Network represents the latest progress in AI+Web3 integration. It is not just a trading platform, but an intelligent ecosystem that has the potential to fundamentally change how we interact with the digital economy.

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