Network3’s decentralized EdgeAI framework solves legacy AI Infra risks

by

As a seasoned analyst with over two decades of experience in the tech industry, I have witnessed the evolution of technology and its impact on society. The current state of AI infrastructure is reminiscent of the early days of cloud computing, where a few dominant players control the market. This centralized dominance not only stifles innovation but also creates barriers for smaller entities to participate.

AI Infrastructure, much like Platform as a Service (PaaS) in cloud computing, serves as a crucial link between the underlying AI Computing layer and the user-interactive Application layer. It bridges these layers effectively.

As a researcher in the field, I’m acutely aware that AI systems require robust infrastructure to operate effectively. Regrettably, a small number of tech giants such as OpenAI, IBM, Amazon, and Google dominate this crucial layer, which also extends to other areas. Consequently, access to AI for millions of users and a staggering 72% of global enterprises is contingent upon these firms’ goodwill.

As a crypto investor, I’ve come to realize the importance of decentralization in the world of AI. The dominance of centralized systems has been an issue for quite some time. However, I believe Decentralized EdgeAI could be the solution we’ve been searching for. It promises to level the playing field, enhancing democratization and making AI more accessible.

AI that runs anywhere

Beyond issues related to security and confidentiality, a significant disadvantage of large AI systems is their heavy resource consumption. The cost of training language models like GPT-3 can range from half a million dollars to as much as 4.6 million dollars. This high cost creates a barrier that mainly smaller organizations find challenging, thereby strengthening the dominance of big tech companies even more.

Using EdgeAI, developers have the ability to train and implement models on a variety of devices, ranging from smartphones to Internet of Things (IoT) gadgets. This has several benefits:

In other words, for AI systems utilizing EdgeAI technology to develop optimally and operate efficiently, it’s crucial that these devices are able to interact or pool resources. Without this ability, the computation and storage capacity available to the AI is restricted.

Towards collaborative AI

Instead of sticking with traditional ways of creating models such as Federated Learning and Distributed Deep Learning, Network3’s unique approach called Decentralized Federated Learning encourages collaboration in the development of artificial intelligence through a collective training process.

As an analyst, I’m excited to delve into this emerging paradigm where DePIN and EdgeAI collaborate, empowering numerous devices or ‘nodes’ to collectively utilize computational and other resources. Additionally, Anonymous Certificateless Signcryption (CLSC) serves as a crucial tool for securely sharing sensitive data, bolstered by robust homomorphic encryption. Furthermore, the framework leverages Reed-Solomon coding for unparalleled data precision and incorporates anti-tracking mechanisms to maintain privacy.

In the Network3 system, edge devices carry out on-site data analysis swiftly, ensuring rapid reaction times. This is achieved because these devices primarily send model updates, thereby minimizing bandwidth usage and allowing them to operate efficiently even with restricted bandwidth.

A Decentralized EdgeAI Infrastructure signifies a significant change towards community-driven Artificial Intelligence, as it simultaneously addresses the issue of centralized monopolies and resource scarcity.

Furthermore, combining crypto assets with blockchain economics opens up new sources of income for developers and users. Not only can they capitalize on surplus computing power and storage space from their own devices, but also benefit from ‘Earn-as-you-Use’ and various other income generation methods.

To round things off, Network3’s Local Language Model (LLM) can be utilized for free everywhere on the planet, regardless of geographical boundaries. This underscores how a decentralized infrastructure enhances the availability of artificial intelligence.

Technology like Artificial Intelligence (AI) has been a game-changer, comparable in impact to the advent of the Internet. Every person, regardless if they’re an individual or a large company, should harness its potential. However, it’s crucial that no entity monopolizes or gains undue advantages from this technology.

The future lies in AI systems that everyone owns, without being owned by anyone. That’s the only way AI can benefit humanity as a whole—the ideal purpose of a technology this powerful. 

Read More

2024-12-03 21:59