Artificial intelligence doesn’t need to be introduced, it drives new innovations and changes the way people work. However, the increasing adoption of AI and its dependence on it also raises questions about the risks poses with the centralized nature of the infrastructure it implements.
Cryptocurrency has taught us the importance of decentralization and the dangers of concentrating resources and data in a small number of facilities. While such an approach may seem efficient, it also introduces important vulnerabilities and concerns to access and governance.
Centralized AI systems are extremely vulnerable as they represent a single point of failure where the large server farms running them can crash hundreds of applications. Data centers that power AI models like CHATGPT offer attractive targets for hackers, with a huge amount of data.
Intensive servers mean more headaches in terms of regulation. If the AI system is in a single country, it falls under the governance of that country and can cause problems for users in other regions subject to different data sovereignty and privacy regulations. Of course, centralization means monopoly and we already have a lot of evidence that Openai, Google, and humanity, etc. are very secretive about how they train the most advanced AI models. The danger is that only a handful of large corporations will become gatekeepers of technology, an important part of modern life, and limit access to those willing to pay the price they demand.
Fortunately, there are ready-made solutions to these problems in the form of decentralized AI. Decentralized AI allows the infrastructure that powers the model to be distributed across a wide network of users, eliminating the risks associated with centralization. Decentralization does not mean a single point of disruption, transparency and user control, and access for everyone. Welcome to the world of AI blockchain – the foundation of a more resilient, fair and sustainable AI industry.
Core characteristics of AI blockchain
The convergence of blockchain and AI holds many promises for ways to complement each other. Blockchain immutability can ensure integrity and trust in the data that enhances AI systems, allowing AI to bring enhanced automation and intelligence to blockchain-based systems. The synergy is clear. Considering supply chains where blockchains can ensure full transparency and visibility, AI can predict changes in demand and optimize logistics accordingly. Healthcare is another example, and while blockchain can be used to secure medical records, AI can help diagnose diseases via image analysis and predictive analysis.
1: Attribution of transparent data
An important feature of AI blockchain is transparent data attributes. This uses a “proof of interaction” consensus mechanism to identify and credit the source of data used in AI systems to enhance fairness. It gives you visibility into who provided the data, how it contributed to the output of AI, what value has been added, and whether data providers should be compensated.
An example of this behavior is OpenLedger’s reward system. This ensures that every time a model taps on someone’s data, the person who created that data will be rewarded with a digital token. This model is in stark contrast to centralized AI companies, accumulating data without the knowledge or consent of the creator and leaving it outside the value chain.
2: AI loyalty and monetization class
Imagine someone raising a question to a decentralized chatbot. It responds by drawing what it finds in a subsack or medium post. The system records the fact that the model uses this information to notify you of a response and uses smart contracts to automatically process payments for tokens to the creators of that content. This paves the way for a new creator economy to create specialized datasets of AI models and host on the blockchain, so contributions are entirely attributable and rewarded.
3: Life cycle of distributed models
Another important difference is that the entire blockchain-based AI development process is open from the initial proposal, model training, and finally its deployment. It supports a more collaborative environment for using the Democratic governance process to create user-controlled community-owned models.
4: Efficient and scalable infrastructure
It runs on a decentralized infrastructure provided by AI blockchain users. For example, Render Network builds a network of GPUs, but is not hosted in a centralized data center. Instead, network participants will rent idle GPU capacity on their laptops and desktops. These resources are pooled to make available to AI applications that require processing power. Developers get the necessary infrastructure at a more affordable cost, and those who provide it can get tokenized rewards to do so.
OpenLedger plays a key role in increasing the efficiency of distributed infrastructure using Openlora. It is a very scalable and highly performant framework that can deliver hundreds of finely tuned AI models in parallel on a single GPU block, allowing it to run at the same time with much lower operating costs. Second, this dramatically improves the accessibility of advanced AI applications by making them much more affordable for end users.
Why is AI blockchain important?
The majority of AI services currently in use live in incredibly opaque, centralized “black boxes” and reveal nothing about how they work or the data they are using. They are owned by a small number of powerful organizations, and this concentration of control undermines the potential for democratization of AI technology. AI companies like Google, Openai and Microsoft can, even if they replace many existing jobs, have a huge impact on our society and our lives, and can maintain all the revenue these systems generate.
Decentralized AI networks give you the opportunity to prevent this monopoly from happening. It is clear that AI is the most powerful new technology that has emerged since the rise of the Internet, and it is extremely important to have it fully controlled by a small number of companies. When predictions come true, AI will inject into everyone’s lives, transforming workplaces and mobility, providing personalized experiences, and revolutionizing healthcare.
With AI blockchain, you can build intelligent systems on the foundation of trust, distribute control to prevent concentration of power, and encourage everyone to participate in development. This opens the door to grassroots innovation. There, anyone can propose ideas and work with the community to make them come true. Decentralized governance ensures that it evolves to suit the needs of everyone, rather than achieving the goals of a profit-oriented company. Cultivate a more diverse AI application situation that everyone can access, while reducing its use for oppressive purposes.
You can’t monopolize AI
Existing AI landscapes are as dangerous as possible. This technology has made so many advances in very short periods, and there is a very real risk of monopoly, and with this it creates the risk of misuse.
AI blockchain is the only way to prevent this, and it acts as the basis for freely accessible, decentralized AI systems developed in a collaborative way, as it is checked and balanced to prevent abuse.
Building this distributed future for AI requires adjustments across every layer, from data to model training processes and the infrastructure that hosts it. Implementing transparent attribution encourages this type of cooperation, everyone’s contributions are recognized, and all users are rewarded for participating in the next technological revolution.
(Image source: onsplash)