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Imagine a future where AI works together with blockchain. This is happening now as these technologies revolutionize the digital landscape. Jimmy Zhao, Chief Solutions Architect at BNB Chain, draws on his extensive experience from previous roles at technology giants such as Alibaba, HSBC, Huawei, and IBM, giving him exposure to cutting-edge technologies and agile development methodologies, and fostering a culture of innovation. And cooperation. Mike Ermolaev spoke with Jimmy about how AI and blockchain technologies are mixing together today and what this means for the future of the industry. This conversation, brought to you by GoMining, is part of our ongoing GoCrypto interview series.
Transition from Web2 to Web3
Zhao discussed the key benefits of transitioning from Web2 to Web3 and how BNB Chain facilitates this transition for developers and users.
“There are distinct benefits to moving from Web2 to Web3. One of the key benefits is the shift from a centralized approach to a decentralized approach. Web3 promotes transparency, efficiency and adaptability of digital platforms, which is key to today’s digital environment. It is an attribute that is increasingly valued in the world,” he explained.
He believes that the convergence of Web3 technology and AI has the potential for unprecedented change and is the cornerstone of building the next generation of the Internet.
“Viewed through the lens of these developments, BNB Chain emerges as a key player driving the transition to Web3. BNB Chain serves as a tool platform for developers, providing a robust, high-performance, developer-friendly infrastructure and toolset for developing powerful AI applications. It is positioned not only as a transformation tool, but also as an innovative platform. This design allows businesses to leverage AI's big data moat and leverage the power of analytics to deliver user-centric experiences and gain data-driven insights.
Despite the challenges, the future of decentralized AI and how it can potentially transform operations across multiple sectors is exciting. For example, the integration of AI in industries such as healthcare or autonomous driving is already starting to transform operations, optimize processes, and improve user experiences. As AI continues to advance, it promises to fundamentally reshape industries, spur economic growth, and create new opportunities. Due to the practical applications and far-reaching impact of Web3 AI, platforms like BNB Chain can play an essential role in fast-tracking this digital transformation,” Jimmy emphasizes.
Integration of AI and blockchain
Zhao detailed some of the most promising applications of AI and blockchain integration and how these technologies will enhance capabilities in areas such as data security, trust, and efficiency.
“The decentralized and encrypted nature of blockchain enhances data ownership and security, while AI enhances the overall safety of the system by monitoring and predicting potential threats. Blockchain’s transparent and immutable transactions strengthen trust, and AI further strengthens it through intelligent insights and autonomous contract execution. The combination of AI’s data processing capabilities and blockchain’s easy auditability streamlines operations to improve efficiency across multiple sectors, from real-time supply chain tracking to secure healthcare data sharing,” he explains.
Despite these promising synergies, Zhao acknowledges challenges such as scalability, AI interoperability, and seamless integration of AI and blockchain.
“BNB Chain continues to improve its decentralized storage network (BNB Greenfield) and infrastructure such as BNB Smart Chain and opBNB’s EVM Chain for better scalability, creating a favorable environment for AI-blockchain integration, and complex We address these challenges by focusing on guidance and infrastructure for managing AI. algorithm. Initiatives such as Binance Labs and the MVB program enable developers to experiment and innovate, unlocking the full potential of AI and blockchain technologies,” he explains.
Advantages of Web3 AI Project
Discussing the advantages of Web3 AI projects over traditional AI initiatives, Zhao emphasizes the shift from centralized to decentralized operations. “In the context of the rapid growth of the AI sector, it is expected to reach $136.55 billion in 2022 and reach $1.8 trillion. “In 2030, the idea of decentralization offers the potential to be transparent, efficient and inclusive.”
He points out that decentralizing AI optimizes ownership, security, and privacy, minimizing the risk of breaches and unauthorized access.
“Existing AI systems often have a single point of failure, leaving the entire network exposed to potential threats. In contrast, decentralized systems distribute data across the network, minimizing the risk of breaches and unauthorized access.
Additionally, the Web3 AI project improves scalability and efficiency. Centralized systems can suffer from increased load, which can create bottlenecks and reduce performance. Decentralized AI, on the other hand, leverages a network of nodes to improve overall performance and capacity to adapt and meet demand,” explains Jimmy.
According to him, the Web3 model uses diverse data inputs and decentralized decision-making to reduce bias and ensure fair results.
“Unlike centralized AI systems that can be influenced by proprietary or biased data sources, distributed systems democratize access and create an environment of collective intelligence.
Lastly, decentralized AI projects, especially on platforms like BNB Chain, deliver real economic and social impact. By allowing broad participation, these projects make AI technology accessible to smaller players and individual developers. This approach ensures that the benefits of AI are widely distributed across society rather than concentrated in the hands of big tech companies. It also fosters a competitive environment, drives innovation, and protects individual interests.
In summary, the Web3 AI project combines the power of AI with the decentralized, transparent, and user-centric spirit of the Web3 model. This convergence will enable these projects to not only overcome the limitations inherent in existing centralized AI systems, but also amplify their potential to deliver meaningful and far-reaching benefits,” Zhao adds.
Case studies and industry insights
Jimmy Zhao emphasizes that the BNB Chain ecosystem is a hub for innovative AI projects that enhance user interaction, content creation, data management, and developer resources. Notable projects include MyShell, which supports AI-based application development and provides a transparent rewards system, and ChainGPT, which provides tools for smart contract creation, NFT creation, and cryptocurrency trading models.
Content creation platforms like NFPrompt and StoryChain use Web3 technology to allow users to create, own, socialize, and monetize their work. Smart bots like Web3go build a data preprocessing layer for decentralized AI, improving data flow and AI agent development.
In the area of data management and processing, Glacier Network and Web3go xData focus on scalable blockchain infrastructure and efficient data processing, respectively. Infrastructure services like NetMind use idle GPUs to create a global network of computing power, while Aggregata improves data flow and decentralization. Developer tools like Aspecta and CodexField help developers create advanced AI applications. Lastly, zkML projects such as zkPass and BAS use zero-knowledge proofs to enhance privacy and security and verify information within the BNB ecosystem to ensure data privacy and control.
Future implications and vision
Zhao expects the convergence of AI and Web3 to advance significantly in the coming years.
“By leveraging blockchain technology, decentralized AI will eliminate the central points of control that currently dominate AI development. These changes will democratize access to AI resources, allowing a broader range of participants, including small businesses and individual developers, to contribute to and benefit from AI advancements. “By breaking down the monopolies held by big tech companies, decentralized AI will create a more competitive and diverse ecosystem, foster innovation, and ensure that AI technologies evolve to meet diverse societal needs,” he predicts.
Zhao believes that decentralized AI will promote smart cities and autonomous driving.
“By tokenizing data, decentralized AI can establish a market mechanism for data ownership, creating a more equitable and sustainable data ecosystem. This approach allows users to maintain control over their personal information and increases trust in AI systems. The integration of edge computing will further enhance distributed AI by allowing data processing to occur closer to the data source. “This reduces latency, reduces bandwidth usage and enables real-time AI applications that are critical for scenarios such as autonomous driving and smart city infrastructure,” he asserts.
Finally, Zhao predicts that decentralized AI will leverage federated learning and other distributed learning techniques to promote collaborative intelligence.
“AI models can learn from diverse datasets from around the world, resulting in more powerful and unbiased results. This collective approach to AI training will make AI systems more accurate and culturally aware. Additionally, the emergence of DAOs will provide a new governance framework for AI projects, allowing stakeholders to make decisions transparently and democratically. As these trends continue to evolve, the future of decentralized AI will feature improved security, greater inclusivity, and a more equitable distribution of AI benefits across society,” says Jimmy.
“As these trends continue to evolve, the future of decentralized AI will feature improved security, greater inclusivity, and a more equitable distribution of AI benefits across society,” he says.
Jimmy emphasizes that BNB Chain will play a pivotal role in the future of Web3 and AI, leveraging the One BNB multi-chain approach that includes BSC, BNB Greenfield, and opBNB. Algorithm-related work through blockchain.
“This provides a cost-effective and efficient way to build and deploy AI applications. In particular, the “Greenfield Executable” project aims to keep data and computation together, enabling internal execution that reduces latency and improves efficiency, while fostering a market for computational resources and data processing services. Continuous performance optimization is also working to accommodate the needs of complex AI and Web3 applications through initiatives such as parallel EVM models to improve smart contract performance and “state expiration” mechanisms to manage growing data. BNB Chain is working to reshape the future of the digital world towards the decentralization and equitable use of AI by seamlessly integrating AI into the Web3 environment,” concluded Jimmy Zhao.
Disclaimer: This article is provided for informational purposes only. It is not provided or intended to be used as legal, tax, investment, financial or other advice.
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