The rise of decentralized physical artificial intelligence (DePAI): the integration of robots and Web3

Artificial intelligence technology is changing with each passing day, and decentralized physical artificial intelligence (DePAI) has brought revolutionary solutions to the control of robots and physical artificial intelligence infrastructure. DePAI is thriving from real-world data acquisition to intelligent robotic operations based on decentralized physical infrastructure (DePIN) deployment. As Nvidia CEO Jensen Huang said: "The ChatGPT moment in the field of general robots is coming soon."

The technological development history tells us that the digital age begins with hardware and then develops to software; while the artificial intelligence era starts with software and is now moving towards the final field of the physical world.

In the future, independent physical artificial intelligence agents will control robots, smart cars, drones, etc., and gradually replace traditional labor. The issue of ownership of these smart devices has become an important social issue. At a time when centralized forces have not yet fully dominated the market, DePAI offers an excellent opportunity to build a physical artificial intelligence ecosystem based on Web3.

Data acquisition: core driving force

DePAI infrastructure construction is accelerating, and the field of data collection is particularly active. This field not only provides the real-world data needed for physical AI agents on robots, but also transmits data streams required for environmental navigation and task execution in real time.

However, the acquisition of high-quality real-world data remains the main bottleneck in the development of physical artificial intelligence. Although Nvidia's Omniverse and Cosmos provide innovative solutions through simulated environments, synthetic data is only part of the ecosystem, and remote operation and real-world video data are equally indispensable.

Synergy between remote operation and DePIN

In the field of remote operations, Frodobots is deploying economical delivery robots worldwide through DePIN. During operation, these robots can not only capture human decision-making behaviors in the real environment and generate high-value data sets, but also effectively solve the problem of insufficient funds.

The virtuous cycle mechanism driven by tokens has accelerated the deployment of data acquisition equipment and robots. For robot companies that want to improve sales performance while reducing capital expenditure and operating costs, DePIN has more advantages than traditional models.

Video data: Building spatial cognition

In terms of video data application, DePAI can make full use of real-world video data to train physical artificial intelligence systems and build spatial understanding of the real-world. Hivemapper and NATIX Network are expected to be important data sources with their unique video database.

As Mason Nystrom, junior partner at Pantera Capital, said: "Single data is difficult to achieve commercial value, but there is great potential after data aggregation." The Quicksilver platform developed by IoTeX can aggregate data across DePINs, while ensuring data verification and privacy protection.

Space Intelligence and Computing: Decentralized Management

In the field of spatial intelligence and computing protocols, the industry is committed to achieving decentralized management of spatial coordination and real-world 3D virtual twins through DePIN and DePAI. For example, Auki Network's Posemesh technology ensures privacy and decentralization while implementing real-time spatial awareness.

The application of physical artificial intelligence agents has begun to show results, and SAM is using Frodobots' global robot network for geolocation inference. In the future, with the help of frameworks such as Quicksilver, artificial intelligence agents will be able to better access to the real-time data provided by DePIN.

For investors who are interested in entering the field of physical artificial intelligence, investing in DAO may be an ideal entry point. XMAQUINA is an example. It provides members with a diversified portfolio of physical artificial intelligence assets, covering physical assets of machine, DePIN protocols, robot enterprises and intellectual property rights, etc., and is equipped with a professional internal R&D team to provide support.

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