Network3 founder: DePIN-EdgeAI collaboration will change people's digital lives

A I industry is under the monopoly control of centralized companies, which has a negative impact on startups and ordinary users. However, web3 technologies like DePIN can intervene to democratize the AI ​​industry.

In this interview, we discuss DePIN’s relevance in the AI ​​industry, EdgeAI, and the potential for collaboration between these technologies with Rock Zhang, founder of Network3.

Q: Hello. Can you introduce yourself to our readers and share your professional journey?

Hi, I’m Rock and I’m happy to be here. I am the founder of Network3, an AI Layer2 that uses DePIN to help AI developers reason, train, and validate models at scale.

I'm also the founder of Rock TechX, a platform that makes people's digital lives safer. Before that, I was the product lead at iHealth Labs, socialbook.io and Anchorfree, as well as 360.

My academic background is in science and business, and I studied at Beijing Institute of Technology, Tsinghua University, Beihang University, National University of Singapore and Stanford University Graduate School of Business.

As an entrepreneur and technology leader, I am passionate about decentralized technology and the AI ​​industry. However, I find that centralized companies dominate the AI ​​field, creating privacy and unfairness issues for users and startups.

Through Network3, I try to create a level playing field by building an AI Layer2 network for the AI ​​industry. I believe combining DePIN and AI will democratize the field of AI by training small models using simple and idle edge devices.

Q: Before focusing on Network3, can you explain the relevance of DePIN in general and in the AI ​​industry specifically?

Decentralized Physical Infrastructure Networks (DePINs) enable users to contribute and maintain physical infrastructure by exchanging token incentives.

Typically, large companies control infrastructure management as it is a capital-intensive process with multiple logistical hurdles. However, DePIN expands the infrastructure sharing economy through collective ownership, decentralized costs, and decentralized security.

DePIN requires physical infrastructure and middleware for off-chain computing to process and analyze real-world data. This is where I think DePIN can contribute to the AI ​​industry.

Currently, some companies have a monopoly on AI development by controlling large data pools and cloud computing resources. As a result, startups require huge capital expenditures to run AI models or access shared data. Users are also compromising data sovereignty and privacy without any financial gain.

DePIN decentralizes the AI ​​industry by distributing data processing across multiple devices at the edge of the network. Therefore, DePIN can directly contribute to EdgeAI and expand its possibilities.

Q: As far as we know, EdgeAI is a relatively new development in the field of AI, which is different from traditional AI models. How does EdgeAI work, especially with DePIN?

EdgeAI deploys AI algorithms and models on smartphones and home-based Internet of Things (IoT) devices. It does not rely on centralized cloud data processing, but analyzes data locally on each device.

Because EdgeAI processes data on devices at the edge of the network, it reduces latency, increases speed, and improves response times. It further reduces bandwidth usage, enhances scalability, and provides more security and privacy protection against data leakage.

DePIN and EdgeAI work together by leveraging IoT devices to simultaneously provide computing power and direct access to data sets. This private and valuable data can be processed locally on the device without being sent to a cloud server, ensuring better privacy.

It accelerates the machine learning (ML) process as local data becomes available to train AI models on edge devices. Additionally, it improves the accuracy of AI models by using real-time, localized data entries.

DePIN also ensures token incentives that encourage device owners to share processing power and personal data. Incentive models promote active user participation and resource availability across geographic boundaries and demographic groups.

At Network3, we enable AI algorithms to work directly on edge devices, combining DePIN and AI.

Q: Please tell us more about your company Network3. How does it combine DePIN and AI to help developers and users?

Network3 is an AI Layer2 that provides services to AI developers around the world. Our protocol enables users to contribute to AI training by sharing their internet bandwidth, IP addresses, datasets, and computing power of their devices in exchange for token rewards.

So Network3 does two things at the same time. First, it transforms users' smart devices into value-generating physical assets, bringing continuous passive income. Second, it lowers the barriers to entry for startups in the AI ​​field by promoting fair resource sharing within our network.

Network3 combines privacy computing, edge computing and federated learning to train AI models.

Privacy computing is performed through the Certificateless Signature Cryptozoology (CLSC) algorithm, providing encryption and signing to ensure data confidentiality. Additionally, our data correctness verification mechanism prevents the transmission of falsified data.

Network3’s edge computing utilizes edge servers to offload computing-intensive tasks from terminal devices such as mobile phones to improve our operational performance. Finally, our federated learning uses local-global mechanisms, proof of contribution, and incentive structures to facilitate participation in the ecosystem.

I'm happy to share that Network3 recently partnered with Jambo Phone, a web3 mobile device. This collaboration will make Network3 applications available on Jambo, enabling users in emerging countries to participate in the DePIN-EdgeAI space.

Q: How do you see the future of DePIN and EdgeAI? How will these technologies affect us?

I believe the DePIN-EdgeAI synergy has the potential to fundamentally change our digital lives. It will encourage AI-based startups and internet users to collaborate to build a future driven by humane and smart technologies.

If you look at the Messari report from early 2023, the DePIN industry is expected to have an addressable market of approximately $3.5 trillion by 2028. Likewise, the EdgeAI market is expected to grow to over $186 billion by 2032.

So, we have data-driven market insights and can legitimately claim that the future of the DePIN-EdgeAI partnership is bright. We just need the right tools to tap into this emerging market and make the most of it.

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