What happens to ZKML+DePIN?

DePIN (Decentralized Physical Infrastructure Network) aims to build a distributed network infrastructure. It involves choosing the right platform for specific needs and addressing challenges such as scalability and cost-effectiveness. DePIN aims to provide customized solutions for different application scenarios to meet their specific needs and facilitate the development of the entire ecosystem. ZKML (Zero-Knowledge Marking Language) is an abbreviation for zero-knowledge machine learning, which aims to protect the privacy of AI models and input data, and verify the correctness of the reasoning process. By putting model or inference proofs on-chain, ZKML enables blockchains to perceive the physical world and smart contracts to run AI models and make decisions while protecting data privacy.

The combination of ZKML and DePIN has important application potential in decentralized networks. By addressing cost and scale issues and making efficient use of idle resources, the combination of DePIN and ZKML opens up new opportunities for emerging areas such as IoT and edge computing. The innovative nature of this combination supports the continued development of the decentralized web.

This Bing Ventures research article will explore the intersection between DePIN and ZKML by studying them together, providing new thinking for more niche use cases. This research approach will provide us with a deeper understanding of the correlation between these two fields, reveal opportunities for synergies between them, and provide valuable insights for future developments.

Platform Selection Challenges

Both DePIN projects and ZKML face important challenges in platform selection. As a distributed network infrastructure project, DePIN projects need to carefully consider choosing the platform that best suits their needs. These options include different blockchains such as Solana, Polygon, Cosmos, Polkadot, and many more, each with its own unique advantages. Similarly, the development of ZKML also requires the selection of a suitable platform to support the on-chain and verification process of AI models. Both areas need to consider factors such as platform scalability, customization needs, and cost-effectiveness to make informed decisions.

Scalability is a common issue that both DePIN and ZKML projects need to deal with. As the DePIN project grows, scalability will become a key challenge. Traditional blockchain platforms face throughput constraints and high fees, so some projects have opted for custom platforms for specific applications or industries, such as Cosmos and Polkadot’s Appchains, as well as industry-specific platforms such as IOTEX. Similarly, ZKML needs to support the conversion of large-scale parameter neural networks into ZK circuits and improve the proof efficiency to meet its scalability needs. Both areas require the search for customized solutions to meet the growing demand.

Cost-effectiveness is another issue that needs to be a common concern for both the DePIN project and the ZKML project. In DePIN projects, projects with high storage requirements need to make decisions based on the cost-effectiveness of different platforms. For example, Solana has attracted some projects to migrate due to its state compression, reduced costs, and low storage requirements. For ZKML, choosing the right platform to implement the on-chain and verification process of AI models also needs to consider cost-effectiveness and other factors. In both areas, there is a need to focus on the optimal use of resources in order to reduce the operating costs of the project and improve the economic efficiency.

By sharing experiences and solutions, the DePIN project and ZKML can learn from each other and cross-apply, thus creating more inspiration and opportunities. DePIN projects can learn from ZKML’s experience in selecting the right platform to understand the applicability of each platform for the on-chain and verification process of AI models. At the same time, the customized solution of the DePIN project may provide ideas for ZKML to meet the on-chain needs of large-scale parameter neural networks.

Source: Bing Ventures

Combination of ZKML and DePIN

The combination of ZKML and DePIN has the potential to drive the development of decentralized networks, from solving cost and economies of scale, to efficient use of idle resources, to the potential for application in emerging fields. DePIN projects such as FIL, Arweave, Helium, and Render Network use blockchain technology and token incentive models to provide storage, network signaling, and rendering services at a low price, achieving cost reduction and rapid scale. Compared with the asset-heavy model of the traditional ICT industry, DePIN’s model innovation effectively reduces labor costs, plant costs, and O&M costs.

In addition to solving the cost problem, the combination of DePIN and ZKML can also develop a sharing economy model and make effective use of various idle resources. In addition to resources such as hard disk storage space, communication traffic, and GPU computing power, DePIN has the potential to utilize more types of idle resources, such as cameras, screens, and brain power. By pooling these resources and providing services to the business, DePIN creates additional market and value for the digital information space, while also providing individuals with the opportunity to earn additional income.

In emerging fields, the combination of DePIN and ZKML also presents great application potential. For example, in the field of the Internet of Things, DePIN can use decentralized hardware resources to provide more secure and privacy-preserving smart device connectivity and data processing services. By verifying data transmission and sharing between devices using ZKML technology, DePIN ensures the security and privacy of user data and drives the development of smart contracts that enable autonomous, flexible decision-making based on real-time data.

In addition, the combination of DePIN and ZKML can also be applied to the field of edge computing, bringing more opportunities and development space for it. By moving ML model inference and data processing to edge devices, DePIN can provide low-latency, high-performance edge computing services. Combined with ZKML technology, DePIN can ensure data privacy while verifying the accuracy and trustworthiness of inference results on edge devices. This application has the potential to be widely used in areas such as the Internet of Things, smart cities, and industrial automation.

Source: 1k(x)

Confront instability

First of all, there are instability and security risks in the hardware network of token incentive management. Token price fluctuations can lead to an imbalance in the network’s balance of payments, which in turn affects the stability of the network. In addition, node misoperation can lead to failures, while malicious nodes and hacker attacks are also potential risks. Therefore, the project team needs to have a high degree of business capability and further improve the overall blockchain infrastructure to solve these problems.

Second, the reuse of idle resources raises ethical issues. While it’s feasible to use idle resources during non-normal usage times, the question of whether or not you should pursue keeping all your hardware at full capacity is something that needs to be thought about. The core of the sharing economy model is trust, and mistakes in the design of token incentives can be exploited by a small number of people, resulting in losses for the majority of participants and users. In addition, the protection of personal data and privacy is also an important ethical issue, which needs to be given full attention and protection in the implementation of technology.

Addressing these issues requires a combined effort between the project team, the technical community, and relevant stakeholders. Through continuous technological improvement, the stability and security of the network can be improved. At the same time, strengthen security risk management measures, such as node monitoring and automated maintenance, as well as the detection and handling of malicious behaviors, to ensure the stable operation of the network. When it comes to ethical issues, there is a need for transparent policies and rules to ensure that users have full control over their personal data and privacy.

In addition, paying attention to ethical issues and developing a reasonable regulatory framework can provide better guidance and assurance for technology implementation. By working together to gradually solve the problems in the process of combining ZKML and DePIN, we can ensure its steady development in practice and create more value for this field.

Source: Bing Ventures

Future potential

The combination of ZKML and DePIN demonstrates great future potential, and we are bullish on the following investment directions to reap returns in this space.

First, in terms of data storage, invocation, and archiving, decentralized storage nodes like FIL and Arweave can optimize the solution and provide more secure, reliable, and durable data storage. This provides investors with the opportunity to participate in the data storage and data archiving market.

Second, ZKML can improve the efficiency of L3 expansion by renting external communication networks or GPU networks. This provides investors with the opportunity to participate in network scaling and address performance bottlenecks, especially in the context of the growing demand for blockchain and decentralized applications.

Third, by establishing new blockchain-based businesses, such as the Internet of Things, cloud computing, energy storage, transportation data, etc., it can bring innovation and value-added opportunities to investors. These projects can leverage existing hardware and blockchain network connectivity to provide more efficient, secure, and transparent services.

Fourth, the field of equipment customization has broad development prospects. Through the integration of various equipment and sensors, the use of drone photography, space weather stations, Internet of Vehicles information system and other hardware facilities, can bring more innovation and use to investors.

Finally, sector-specific services are also an important investment direction. The applications of ZKML can meet the growing needs of the Internet of Things, unlimited communications, GPU rendering, video transcoding, and other fields. By combining with real-life needs, investors can engage and drive growth in these specific areas.

Overall, the future potential of the combination of ZKML and DePIN is exciting. Investors can focus on data storage, network expansion, new business construction, equipment customization, and domain-specific services to reap returns in the sustainable development of this field.

Source: Bing Ventures