Artificial Intelligence (AI) is different from Human Intelligence in that it is intelligence demonstrated by machines. But there is a lot more depth to the subject before we evoke a direct comparison. For starters, AI has three distinct levels; Narrow AI, General AI & Super-intelligence.
These different levels can be briefly described as follows:
- Narrow AI involves the execution and fulfilment of domain-specific tasks based on pre-programmed logic using algorithms.
- General AI is achieved when the system’s cognitive abilities are on par with human beings.
- Super-Intelligence is the ultimate stage where the cognitive abilities demonstrated by an intelligent machine surpass average human intelligence.
Currently, we are at the cusp of the next wave of innovations in AI which have so far been hindered less by skill or ability but a lack of opportunity and the availability of paradigms to work with.
AI in general is not widely available to the public as a tool to utilize. The advancement is slow towards this goal across the community even as the AI economy is projected to increase by a magnitude of billions in the coming decade. This problem, in large part, is due to the concentration of AI market share in the control of large companies that are focused on their uniquely specific and narrow product/service markets.
Challenges On the Road to AI Revolution
Surveying the AI landscape, we can identify challenges that must be overcome before ushering in an AI revolution. These challenges are specifically addressed in OpenFabric’s blockchain-based ecosystem which seeks to leverage features of a Distributed Ledger.
The current landscape is dominated by centralized AI such as Google AI, IBM’s Watson, Microsoft Azure AI, and the like. While there are obvious advantages to the companies whose services are provided under this model, there are disadvantages as well. In a centralized system, execution is hindered by resource unavailability, and with no distributed resource, the effects multiply. Storage is another issue that decentralization resolves along with more robust governance.
It is imperative to protect end-user privacy and guarantee intellectual property rights. Formal ownership and privacy are possible in OpenFabric’s ecosystem in comparison to large, centralized AI providers who can peek into the information garnered in their data centers. Security is also the bedrock of the incentives provided to AI innovators.
An important part of the development of AI is the training component. This is where the AI application is trained and primed for operational service. Network participants can take part in a sustainable “economy of innovation” by renting out underutilized computing power.
To have a truly public AI Revolution, we must have greater ease of use not just for developers but also for end-users, tools, and related applications.
One of the major challenges in unlocking innovation is the establishment of an ecosystem that permits and incentivizes the use of standardized interfaces to allow multiple AI agents to collaborate and connect in providing solutions to complex problems.
To have our ecosystem propel innovation and growth, we have created a built-in robust exchange medium that facilitates fair transactions between suppliers and consumers of AI services.
The ecosystem provides mechanisms to distribute and consume vast amounts of data for training and execution.
OpenFabric and the Internet of AI
In a centralized approach to AI, while security and reliability are achieved, the privatization of components along with the ecosystem being dominated by a few large players are major drawbacks. Decentralized approaches have been maturing in service provision but there remains a need for flexibility, standardization, and a fundamentally open community.
It is with the above in mind that OpenFabric is holistically approaching the problem to put forth an amalgam of positive outcomes from both worlds. This is what will move the needle closer to the Internet of AI (IoAI).
By utilizing the power of blockchain, advanced cryptography, distributed ontologies, and trusted execution, OpenFabric is developing a novel infrastructure to support an authentic AI revolution. The system provides a fluid medium where AI agents can collaborate to seamlessly provide advanced features.
OpenFabric’s ecosystem is governed by a distributed secure rating mechanism that establishes trust between AI agents and thus enabling interoperability.
The overall architecture has four layers:
- Service Consumers represent the end-users looking to solve specific business problems to enhance their core product/service offerings.
- AI Innovators are the heart of the system creating practical and sophisticated AI algorithms to solve complex problems in an ecosystem that encourages cooperation.
- Data Providers are another key component that provide data to train, test, and develop AI. Companies have an incentive to license their datasets to AI innovators and data providers.
- Infrastructure providers bring to the table the platform and hardware capabilities required to both develop and train AI algorithms.
- OpenFabric Platform
- The OpenFabric Store (DApp) is an in-built marketplace that provides the end-user with access to platform functionalities such as consuming or supplying AI services.
- The OpenFabric Toolkit contains libraries, frameworks, and tools for AI Innovators.
- The OpenFabric SDK provides programing access to the platform’s functionalities. It is available to both AI Innovators and Data Providers.
- The OpenFabric Daemon represents the client maintaining a connection to the network. It is available to both AI Innovators and Data Providers.
- OpenFabric Network
This is the network layer where nodes operate to implement the core services and execution environment for the platform. This layer provides core services by integrating modules such as storage, execution, interoperability, and rating. In essence, this is the base protocol layer that binds together the architecture to power the OpenFabric ecosystem.
- Distributed Ledger Technology/Blockchain
Blockchain technology ensures that inherited features such as trust, security, and transparency are present. The platform is agnostic to which specific DLT solution is present. Maintaining the ledger state is done by a consortium of companies running nodes. Overall, this is the communication backbone of the ecosystem providing storage support, decentralized technology integration, state management, resource allocation, etc.
Secure governance and fairness are enforced by a set of protocols and procedures. These overall network services, resources, and processes are supervised by a Distributed Operating System (DOS) which is run on a network of trusted P2P network of nodes ensuring the proper functioning of the system.
Openfabric is creating an AI ecosystem with the aforementioned layers and components in which everyone has quick, easy, low-cost, and hassle-free access to powerful AI algorithms and services that can quickly and easily be integrated with new products and services to improve offerings and create markets for new products.
Openfabric is a secure, scalable, interoperable, and decentralized platform. It makes it easy for AI researchers and developers to connect to consumers and businesses that need AI capabilities. It will help anyone who wants to tap into the vast potential of AI algorithms and applications to do so and to create AI-powered products, services, and solutions of their own.To learn more about how Openfabric is creating a seamless, effective, integrated, and hassle-free AI access platform for all that will help AI developers, researchers, and companies monetize their work, please visit us at www.openfabric.ai.
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