Personal AI Server: Infrastructure for Decentralized AI Applications in the Future

By DMC Foundation ·  

As artificial intelligence (AI) technology continues to develop, large language models (LLMs) have become the core of the AI revolution. However, most AI services currently available on the market are centralized, with user data and applications relying on centralized servers. In order to achieve truly decentralized AI applications, we need to build an infrastructure that allows everyone to have a personal intelligent, and this is the Personal AI Server.

1. The Potential and Challenges of Large Language Models

Large language models (LLMs) have powerful computational abilities, but currently, we are only utilizing about 1% of their potential through chat interfaces. To view LLMs as interfaces between humans and computers, we need to enable them to help us manage everything in the virtual world. Additionally, AI needs personalization, allowing users to train LoRA models with their own photos and videos to provide personalized services for AIGC applications.

2. Advantages of Decentralized AI

Decentralized AI can empower LLMs with greater capabilities, allowing them to handle more information and processing. In contrast, centralized AI, while theoretically having stronger LLM capabilities, may face user reluctance to provide more personal information and power. Therefore, AI running on Personal Servers will inevitably become an alternative choice to AI running on the cloud.

3.Implementation of Personal AI Server

To achieve decentralized AI applications, the first step is to equip Personal Servers with sufficient computing power. This means that we need to install graphics cards on Personal Servers to support decentralized AI applications (DEC APP). In theory, LLMs can run on Personal Servers, and according to Moore’s Law for AI computing power, Personal Servers will have stronger computing power in the future and will be sold at reasonable prices so that everyone can have personal intelligence.

4.From Personal Computer to Personal Intelligence

With the development of technology, the transition from Personal Computer (PC) to Personal Intelligence (PI) will become increasingly evident. We can foresee that in the future, Personal AI Servers will become more and more popular, providing decentralized AI application services for everyone, and realizing a true era of personal intelligence.

In the era of AI, the issue of data ownership is becoming increasingly important. To protect personal data and ensure the rights of data creators are respected, we propose the following comprehensive solution:

1.Personal Data Server: By establishing a Personal Data Server, we provide continuous access control for everyone. These servers allow users to manage their data independently and decide who can access, use or share their information.

2.Decentralized Storage Protocol (CYFS): By utilizing a decentralized storage protocol, we enable mutual exchange of data between Personal Data Servers. Through a decentralized approach, we ensure the security, transparency, and traceability of data.

3.Public Blockchain Datamall Chain based on Nash-Consensus: The Public Blockchain Datamall Chain based on Nash-Consensus, uses blockchain technology to construct a free market that balances supply and demand. In this market, data creators and consumers can freely trade, maximizing the value of data while ensuring data security and ownership.

4.NFT Smart Contracts: NFT (Non-Fungible Token) smart contracts are used on the blockchain to record data ownership. This provides data creators with a proof of ownership and ensures the uniqueness and ownership of their data are fully protected.

5.Complete Legal Framework: Establishing a complete legal framework to protect the rights of data owners. This includes provisions for controlling, accessing, using, processing, and transmitting data, aimed at preventing data misuse and unauthorized use.

By implementing the above overall solutions, we can better protect personal data and ensure that data ownership is fully respected. In the AI era, the importance of data ownership cannot be ignored. We need to take effective measures to provide a safer and more controllable data management environment for everyone.

original source: