In recent years, blockchain and AI (artificial intelligence) have become two of the most trending and disruptive technologies. The idea of ​​combining them offers extremely promising innovations. This article will give you an overview of both technologies, the benefits and difficulties of their combination. At the same time, we will also learn about some outstanding projects in this field. What is Blockchain? Blockchain is a database system stored distributedly by many members in the network. The information stored in each block is arranged and inseparably linked through encryption algorithms. What is AI? AI stands for Artificial Intelligence. It is a model that simulates human intelligence using a computer system. AI can learn and make decisions independently. Benefits of combining Blockchain and AI To clearly understand the benefits of combining These two leading technologies together, we will first recall their properties. Properties of Blockchain and AI A combined system of Blockchain and AI will help it inherit many good properties of both . Here are some of the benefits that can be achieved: Better data mining capabilities The ability to mine data and self-learn is one of the outstanding strengths of Artificial Intelligence, but it is limited by data accessibility. For example, currently ChatGPT cannot access social data sources such as X (Twitter), Facebook directly, but users need to provide it. That's just a small example, there are many data sources that limited AI cannot access.This can be solved by the Permissionless and Transparent nature of Blockchain. AI freely exploits data without having to ask for a license from a third party. Not to mention, information authenticated on Blockchain is somewhat more secure than other sources due to its economic nature. Make more accurate decisions As mentioned, Blockchain helps AI freely exploit data sources. Quality data combined with its simulation and prediction capabilities lead to better decisions. On the contrary, because the blockchain is transparent, users can easily retrieve the information that the AI ​​uses to check whether the decision is trustworthy or not. Further, if each validator in the network All blockchains are operated by Artificial Intelligence, so the final decision made will be the decision of a multi-AI system, and thus reliability will be increased. We can imagine a new consensus mechanism, Proof-of-AI, replacing Proof-of-Work or Proof-of-Stake, for example. Increasing security and privacy Artificial intelligence has the ability simulate and predict situations based on real events, which can help the network predict attack situations in advance to make pre-emptive decisions. For users, AI has the ability enhances the privacy of their transactions. Similar to Zero-Knowledge Proof, users can ask AI to perform a transaction or certain action without revealing too much information because AI has the ability to predict and simulate execution.Increase transaction speed At first glance, it seems unconvincing because of the current incompatibility of the two technologies. But in the future, when they integrate together smoothly, the transaction speed will increase significantly. For example, by using its predictions, AI chooses the appropriate group of validators to help transactions go through correctly. accurate and quick. Not to mention, through the process of learning over time, AI can also offer faster and more accurate ways to resolve transactions. Promoting the common development of both industries From now on, things inside the systems AI is secure, it's like a black box that never opens. Blockchainization of AI helps it inherit all the properties of Blockchain, especially "open source". Not to exaggerate, but "open source" is one of the key things promoting development. of Blockchain so fast. In just one night, programmers can clone a hot trending dApp into their own. Since then, it has evolved into better things. Not to mention the system that combines the two also takes advantage of the crypto-economic economy that is the trademark of blockchain. This combination will make the expansion speed of both faster than ever.Challenges for AI in BlockchainPerformance and speedAI systems are operated by artificial neural networks (ANN) ) with hundreds of billions of parameters. Number of parameters of GPT-3 and GPT-4 To operate effectively, data transmission needs to flow throughout the network at high speed. As you all know, the current Blockchain is slow, it only takes a few projects to have an event and the network is overloaded. Although expansion solutions are being deployed aggressively, this is a problem. is still not enough for AI systems to operate stably. ScalabilityStorage and usage costs are also a barrier for AI systems to move towards true decentralization. AI data needs to be continuously transmitted, changed and stored to serve its self-learning process. Unfortunately, at the present time, the cost of storing on the blockchain is too expensive, so fully integrating AI into the blockchain will not be economically viable. Data privacy and securityTrue If successfully combining the two technologies, it will bring privacy and increase data security. But before that, we need to find a way to make AI capable of learning and using data on the blockchain without revealing details of that data. Because to ensure privacy and security, information Usually the data posted to the network will be encrypted, so if AI wants to use it, it must decode or have another method to use when needed while still achieving high speed. Outstanding projects Render Network ( RNDR)Render Network is defined as a decentralized GPU rendering platform. This system allows users to contribute GPU (video card) power from their devices to help those who need to render videos, images or 3D effects. The operating model of Render Network is as follows: following:- Job creation: Through the OctaneRender web interface, customers create jobs and submit files to be rendered (ORBX format). The system relies on file information to calculate costs, time and form of payment through a smart contract. If the client accepts the terms, they will send RNDR tokens to the smart contract for the job to be performed. - Job assignment: Render Network's MTP protocol will automatically assign appropriate node operators (GPU sharers) appropriate to perform the rendering job requested from the customer. - Completing the job: The node operator uses OctaneRender to process the assigned job. Once completed, the node operator will send the product to the customer via Render Network. - Verify product standards: During work execution, customers can monitor and report on behavior wrong if necessary. Product previews are blurred until the job is confirmed and paid by the customer.- Payment: After agreeing with the product quality, the customer verifies to pay the node operator . Render Network collects a small percentage of RNDR tokens ranging from 0.5% to 5% to support transactions and operate the platform. Integration of Stable Diffusion - an application that creates images from text using AI and releases API Allowing applications to easily access the node system has made the platform go one step further into the AI ​​segment. In fact, for Render Network, AI is still only very small integration steps. Computational power is still only isolated in each node, but we have not yet seen a Decentralized AI that uses computing power from the entire network. Fetch.AI (FET) Fetch.AI is an infrastructure layer combining Blockchain and Artificial Intelligence that allows creating a free open economy on top of it.Fetch.AI is organized into 4 main layers: User communication tool Network communication tool On-chain ledger interaction tool Ledger chainLedger - Fetch.AI chain is built on Cosmos-SDK using the mechanism Useful Proof of Work consensus. The Fetch chain where smart contracts are built and state stored for members. Two other important components we need to pay attention to are:- Autonomous Economic Agents – Autonomous Economic Agents (AEA): are entity registered by users to participate in the system, it can be the devices, services they bring into this economy.- AEA Framework - Autonomous Economic Agent Framework: also known as OEF (Open Economic Framework) - Open economic framework. It is a network connecting many agents that allows them to search, explore and interact with each other, thereby allowing them to make their own decisions based on mutual learning. It can be seen that Fetch's Machine Learning is integrated merged into this paragraph, in the AEA Framework class. This integration helps entities in the network communicate and process tasks with each other automatically and at the same time learn from each other to develop. The results of the work will be transferred down and stored on-chain in the Ledger ledger. In terms of the level of AI integration, the new Fetch is still only integrated at the off-chain level to handle the above tasks. As for the blockchain infrastructure layer, there is not much yet.SingularityNET (AGIX)SingularityNET is a platform that connects AI services through the blockchain network. This platform allows people in need of using AI to find and use the desired service provided.SingularityNET is implementing 3 main areas: - AI Marketplace: AI application market, where customers can search and buy desired services. - AI Publisher: Information portal to help developers manage and publishes its AI service.- AGIX Staking: Staking Portal where users can lock their tokens to secure activity on AI Marketplace and receive rewards. How SingularityNet works is as follows:- AI service providers are called Agents, they act as Nodes in SingularityNet.- Many Agents in the network provide many different AI services, all connected connected and can communicate back and forth. - Agents are ranked after each transaction to discover the advantages and disadvantages of each of them. This is for the purpose of identifying which Agent is good at which job, thereby navigating and dividing the work later. - When a job arises, the system will automatically search for the appropriate Agent to perform and return the results. results for users. - Payment activities take place on-chain through two components: Daemon and Multi-Party Escrow. The goal that AGIX aims for is to build a general Artificial Intelligence - AGI (Artificial General). Intelligence), an Artificial Intelligence system that gathers many artificial intelligences. Although this solution cannot yet be called truly Decentralized AI, it is quite promising if the connection network between them is truly decentralized. and each agent in the network must open the black box (open source) for other members of the network to exploit data and learn from each other. Phase 2 of SingularityNet is trying to solve the speed problem by implementing Deployed on Layer 2 and expanded to Cardano. At the present time, SingularityNET is still in the form of a Decentralized AI Marketplace which is true to its nature. Conclusion You see, Blockchain and AI are the two most popular technologies today. Theoretically, the system combining both technologies brings many outstanding benefits, opening up new economic models and solutions with many applications. But because of its complexity and unique characteristics, of them, so this combination is still mainly superficial, unable to fully promote the good properties of both. Maybe we need to wait more for both to develop to a level enough to reach each other.