In-depth analysis of how AI+blockchain can lead the next generation of Internet
Web 3.0, also known as the Semantic Web (Semantic Web), is the next stage of Internet development. The application of Web 3.0 aims to eliminate the central server requirements, thereby achieving higher security and interoperability. Blockchain is often considered the foundation of Web3, which will redefine future business and social models. But with the explosion of ChatGPT, this view has fallen into controversy.
Who will define the next generation Internet? R 3 PO believes that the integration of blockchain technology and AI will redefine Web3, the technological revolution will experience the transformation from mobile Internet to artificial intelligence Internet, and blockchain will redefine the value, ownership and asset pricing methods of the next generation Internet .
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How blockchain and artificial intelligence will lead the development of Web3
Blockchain and AI are actually very different technologies that serve completely different functions. The underlying architecture of the blockchain is a distributed ledger that can store data in the form of blocks. The data stored on the blockchain is immutable and guaranteed through cryptography. Therefore, blockchain can keep data safe without third parties.
The essence of artificial intelligence is the algorithm of machine learning, which uses the computing power of computers and the basis of big data to imitate the ability of human beings to solve problems. It simplifies the decision-making process, rationalizing decisions and taking actions that are most likely to achieve a specific outcome. AI can learn from the data fed to it, becoming smarter over time.
Let us see what kind of chemical reactions will be brought about by the integration of these two technologies at the application layer.
On the one hand, blockchain can help explain AI behavior. Blockchain technology helps us obtain an immutable record of the data and processes used by AI in the decision-making process, which makes it easier for us to understand and audit how AI algorithms make decisions, thereby building a deeper level of trust.
On the other hand, artificial intelligence can improve blockchain efficiency. Wang Yuehua, partner of Draper Dragon, said in a recent interview, "In all Web3 application scenarios, data will be processed by algorithms, and the stronger the artificial intelligence, the better the experience." Indeed, blockchain transactions are After verification and thinking, this process requires powerful hardware and consumes a lot of energy, but artificial intelligence can improve the efficiency of the blockchain by optimizing calculations and processes, reducing the load of miners and improving latency, thereby speeding up transactions and reducing blocks. carbon footprint of chain technology.
The combination of AI+blockchain may bring new business models and opportunities. For example:
1. Smarter dApps and smart NFTs
As blockchain developers integrate artificial intelligence and machine learning algorithms, Web 3.0 will likely introduce smarter decentralized applications (dApps) with more advanced real-world utility.
A fascinating early example is Alethea AI's Alice - the first non-fungible token (NFT) with self-learning capabilities, changing the way it interacts with people as it learns from each new interaction. As the first intelligent NFT (iNFT), Alice has a personality of her own, capable of engaging in exhaustive conversations with internet users and learning from them in the process. As AI algorithms advance, next-generation dApps and NFTs may benefit from their efficacy, as decentralized applications gain better data management and analysis capabilities, while next-generation NFTs will come with human-like behavior .
2. Realization of the value of personal data
While social media giants and marketing firms are already harvesting our browsing data to serve up more relevant ads, it's not in the best interest of internet users. The decentralized ethos of Web 3.0 aims to bring more user power by putting people back in control of their data — data that can optionally be shared with service providers who pay users directly.
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Core AI+Blockchain Project Analysis
Project Introduction
1、FET
Project Introduction
Application Scenario
Application Scenario
Intelligent identification: The hospital uses the collective learning function of Fetch-ai to train the robot's learning algorithm to identify X-ray images such as chest films that need to be detected in the hospital, and locate the patient's lesion. After statistics, the trained AI model identifies the patient's The accuracy rate is 90%.
Cancer cell detection: Through a collective learning partnership with the Poznan Supercomputing Network Center (PSNC), Fetch-ai and PSNC will train algorithms for hospitals and research centers around the world to identify and detect circulation in patient blood or tissue biopsies in the future cancer cell.
Predictive Maintenance: Predictive maintenance is a process of identifying potential failures of machines before they occur. To identify potential failures in manufacturing machinery, Bosch is leveraging Fetch-ai's collective learning to predict potential failures in Bosch machines while maintaining data privacy. Recently, Bosch and Fetch.ai announced the establishment of a new partnership to form a new Web3 Foundation - Fetch.ai Foundation, aimed at research, development and utilization of Web3 technology for mobile, industrial and consumer domains practical use case.
Project Introduction
2、OCEAN
Project Introduction
Ocean Protocol is a tool for the web3 data economy, providing developers with tools to build data markets, manage data NFT and DeFi data tokens. Data owners and consumers can use the Ocean Market application to publish, explore and consume data in a secure and private manner.
Project Benefits
Experienced team: has extensive experience in the fields of blockchain, data processing and AI.
The track has potential: through decentralization, notarized, transparent and secure data sharing can be achieved, greatly liberating the AI market, and will be the core data layer of the future AI sector.
Abundant resources: We have established partnerships with institutions and projects such as the Singapore government, SingularityNET, Mattereum, and IBM Watson AI XPRIZE.
Project Introduction
3、AGIX
Project Introduction
SingularityNET is a decentralized artificial intelligence platform and marketplace. Agents running on the SingularityNET platform have the flexibility to outsource work to each other — transaction information, negotiated payments, and ratings that affect an agent's reputation. In addition, in this open source market, everyone who provides artificial intelligence and machine learning services for the ecology will receive a certain number of tokens as rewards.
Project Benefits:
AI Marketplace: The AI Marketplace provides a number of AI-powered services that users can purchase;
Project Introduction
4、NMR
Project Introduction
Application Scenario
Application Scenario
Numerai Tournament: A hedge fund that trades stocks based on an aggregation of thousands of forecasts made by a global network of competing data scientists. Numerai receives around 100 million predictions a day from its users and then creates a meta-model to invest in.
Numerai Signals: An ongoing tournament collecting Russell 3000 stock predictions.
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Challenges faced by AI + blockchain technology
R 3 PO believes that blockchain and AI are the two most disruptive technologies since the invention of the Internet. The decentralized blockchain brings a good data foundation to AI, and AI has mature module resources and algorithms. resource. The technology applications we are seeing so far are just the tip of the iceberg, and the integration of the two will affect the development trajectory and progress of society in the next few decades, potentially creating a more efficient, safer, and more personalized digital economy for individuals and companies Bring new business models and opportunities. But at the same time, the combination of blockchain technology and artificial intelligence will inevitably face some challenges.
1. Security issues
Artificial intelligence needs to process a large amount of data to function, and the data on the blockchain is securely encrypted to avoid being hacked. Then, in order to analyze and process these data, it is necessary to decrypt relevant files and data, which will make the data more vulnerable to malicious attacks. The development of WEB3.0 has not yet formed a complete security system, so unified security standards and norms have yet to be formed.
2. Cost and efficiency constraints
While artificial intelligence improves the operation efficiency of blockchain, it also has certain limitations. For example, the application of current distributed technology involves large-scale computing and storage systems, hardware limitations, and even physical energy generation of operating equipment. , transmission, and storage all limit the practical application of AI and blockchain to a certain extent.
At present, considering the tps limitation and gas fee cost caused by the actual operation of many chains, the cost of artificial intelligence commercial applications that actually operate on the blockchain will be unimaginably high, and the actual efficiency will be unimaginably low. .
epilogue
epilogue
The AI heat brought by ChatGPT is still fermenting, and the "blockchain + AI" project has gone through a round of skyrocketing and plummeting in a short period of time. The data shows that the total market value of tokens of AI-concept encryption projects once exceeded US$5 billion. For example, SingularityNET rose by more than 290.53% in early February, but these projects have fallen back rapidly.
Disclaimer: There are risks in the market, and investment needs to be cautious. Readers are requested to strictly abide by local laws and regulations when considering any opinions, viewpoints or conclusions in this article. The above content does not constitute any investment advice.
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Disclaimer: There are risks in the market, and investment needs to be cautious. Readers are requested to strictly abide by local laws and regulations when considering any opinions, viewpoints or conclusions in this article. The above content does not constitute any investment advice.
