The AI blockchain: What is it really?

Artificial intelligence does not need any introduction, which leads to new innovation and transform the way people work. But the adoption of artificial intelligence and our increasing dependence on it also raises questions about the central nature of the infrastructure it works on, and the risks that are raised.

Crossed currencies have taught us the importance of decentralization, the risk of concentrating account resources and data in a small handful of facilities. While such an approach may seem effective, it also provides important weaknesses and interests on access and governance.

Central artificial intelligence systems are incredibly weak, as they represent the large server run by one failure point that can collapse hundreds of applications. Data centers that operate artificial intelligence models such as ChatGPT set an attractive target for infiltrators, also, given the huge quantities of the data they own.

Central servers also mean more headache in terms of organization. When the artificial intelligence system is present in one country, it falls under the vicinity of that nation, which can cause problems for users in other areas subject to the rules of sovereignty and the various data of the data. Of course, centralization also means monopoly, and we already have a lot of evidence of this with the likes of Openai, Google and the very secret anthropology about how to train the most advanced artificial intelligence models. The danger is that a handful of major companies will eventually become the gate guards of technology that becomes a vital part of modern life, restricting access to those who want to pay any price they demand.

Fortunately, there is a ready solution to these problems in the form of decentralized Amnesty International. With decentralized artificial intelligence, the infrastructure that indicates power models can be distributed in a wide network of users, eliminating the risk associated with centralization. Decentralization means that there is no single failure point, more transparency, user control, and access to everyone. Welcome to the world of Ai Blockchains – the basis of the most flexible, fair and sustainable intelligence industry.

The basic properties of Ai Blockchains

Blockchain and AI converge a lot of promise because of the way they complete each other. Blockchain’s inability to integrity and confidence can ensure data that operates artificial intelligence systems, while artificial intelligence can bring Automation and enhanced intelligence to Blockchain systems. The synergy is clear. Consider supply chains, as Blockchain can ensure transparency and full vision, while artificial intelligence can predict the changes in demand and improve logistical services accordingly. Health care is another example, as Blockchain can be used to secure medical records, while artificial intelligence helps diagnose diseases by analyzing images and predictive analyzes.

1: Supporting transparent data

One of the main ability in Ai Blockchains is to support transparent data, which uses consensus views “proof of dependency” to determine the source of the data used by artificial and credit intelligence systems. It provides vision in the data, and how it contributed to the outputs of artificial intelligence, the value it added, and how much the data provider should be compensated.

An example of this at work is OpenLedger, which ensures that every time the model lacks a person’s data, the person who created this data is rewarded with digital symbols. This model contrasts starkly with the central intelligence companies, which collected data without the knowledge or consent of the creator, which leaves it outside the value chain.

2: Amnesty International and Income Approaches

Let’s imagine that someone asks a question on the decentralized Chatbot, and responds by taking advantage of what he finds in a post on Substack or Medium. The system will record the fact that the model used this information to inform its response, and the use of smart contracts, and it will automatically process the pushing of the symbols to the creator of this content. This paves the way for a new creator’s economy, as people create specialized data groups for artificial intelligence models and hosts them on Blockchains, and therefore their contributions are fully attributed and rewarded.

3: Decentralized model bikes

Another major difference is that the Blockchain -based AI development process is open, from the initial proposal, to typical training, and finally its publication. It supports a more cooperative environment to create models owned by society that is controlled by its users, using democratic governance operations, where holders of the distinctive symbol vote on the new features they want to add.

4: An effective and developed infrastructure

AI Blockchain operation on the decentralized infrastructure offered by its users. For example, Render Network has built a network of graphics processing units, but it was not hosted in a central data center. Instead, the network participants rent the inactive GPU for laptops and their desktop computers, and these resources collect and are available for AI applications that need a processing power. The developers get the infrastructure they need at more affordable costs, and those who offer them can earn symbolic bonuses to do so.

OpenLedger plays a major role in enhancing decentralized infrastructure efficiency with Openora. It is a very developmental and very performance frame that can serve hundreds of artificial intelligence models seized in parallel with one GPU block, allowing them to run simultaneously with much lower operating costs. In contrast, this greatly increases the ability to access advanced artificial intelligence applications by making them more expensive for final users.

Why AI Blockchains important?

The vast majority of artificial intelligence services used today live in the central “black boxes” that are incredibly inappropriate, and do not reveal anything about how they work or the data they use. It is owned by a handful of powerful organizations, and this concentration of control undermines the potential of democracy for artificial intelligence technology. AI companies such as Google, Openai and Microsoft can collect a tremendous impact on our societies and our lives, while keeping all the revenues achieved by these systems, even replacing many current functions.

AI’s decentralized networks give us an opportunity to prevent this monopoly. It is clear that artificial intelligence is the most powerful new technology that appears since the emergence of the Internet, and it is extremely important to allow it to be fully controlled by a few companies. If the predictions become real, artificial intelligence will be instilled in everyone’s lives, diverting workplaces and mobility, providing dedicated experiences and revolutionizing health care.

With Ai Blockchains, we can build smart systems based on confidence, distribute control to prevent power concentration and motivate everyone to participate in their development. This will open the door to innovation at the base level, where anyone can present an idea and work with a society to achieve this, with decentralization governance to ensure their development in compliance with everyone’s needs, instead of providing the goals of companies directed towards profit. The AI ​​application scene will sponsor the most varied to everyone, while reducing its use for repressive purposes.

We cannot let artificial intelligence

The current scene of artificial intelligence carries the same level of danger as it is capabilities. Technology has made a lot in a short time to the point that there is a very real danger of monopoly, however the risk of misuse of its use.

AI Blockchains is the only way to prevent this, as it works as a basis for artificial intelligence systems that can be reached freely and decentralized and that will be developed in a cooperative manner, with tests and balances to prevent any abuse.

The construction of this decentralized future for Amnesty International requires coordination in each layer, from the data used in typical training and infrastructure it hosts. With a transparent chain of transmission, we can stimulate this type of cooperation, ensure recognition of everyone’s contributions, and each user is rewarded for participating in the following technological revolution.

(Photo source: Unsplash)