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Author: FLOCK.IO; Translation: 0xjs@作 作 作 作 作 作
We are entering a decisive era of AI development. In this era, the integration of generation AI and blockchain is opening up a new field of digital innovation.
We deeply discussed this paradigm change and depicts the process of decentralized innovation from the established centralized artificial intelligence framework to Web3 from the established centralized artificial intelligence framework.
Web2 AI and Web3 AI stacks and track projects
Basic: web2’s AI technology stack
The artificial intelligence landscape of the web2 era can get the best understanding through layered methods. Each method represents a key aspect of artificial intelligence development and deployment.This subdivision provides a clearer perspective to understand how each component interacts and how to contribute to the entire artificial intelligence ecosystem.These layers include:
Computing engine
The core of AI functions is centralized cloud services such as AWS and Azure.These platforms are the cornerstone of AI operations, which provide complex data analysis and large -scale computing capabilities necessary for machine learning.
Basic model
The centralized model training platform represented by entities such as Openai and Anthropic has played a vital role in artificial intelligence democratization.These platforms make advanced artificial intelligence functions available, which has caused a wide range of artificial intelligence applications in various fields.
Data management
The efficiency of artificial intelligence in Web2 relies to effective data management systems to a large extent.Tools such as Scale AI and Mechanical Turk simplify data pre -processing and ensure that they are prepared for analysis.At the same time, platforms such as PineCone, DataBricks and Snowflake played a key role in managing and storing large data sets, thereby promoting easy access and operation.
Smart and applications
AI’s versatility in Web2 is vividly reflected in its extensive application.From the breakthrough innovation of marketing tools such as Jasper and Copy.ai to the medical care field brought by Glass, the applicability of artificial intelligence has spanned multiple fields and shows its potential for change.
Tools and frameworks
This layer has greatly shaped artificial intelligence development in the Web2 era, and has basic tools and frameworks for artificial intelligence agency development, such as Langchain and LlamAINDEX.Babyagi, AutoAgi, and Camel and other platforms are essential to enhance agency development and provide a special environment for the creation and improvement.In general, these elements have enriched the complexity and advanced functions of artificial intelligence agents, marking the key progress of artificial intelligence capabilities during this period.
Market mechanism
The emergence of platforms such as Huggingface and Github foster a collaborative ecosystem to allow sharing and discover artificial intelligence models and tools.
Evolution: The decentralized AI framework of web3
To web3, our exploration of AI has entered a new dimension.Based on the layered method of web2, we conducted a deeper study and clarified how decentralization and blockchain redefine artificial intelligence projects.Web3’s unique attributes require extra layers, especially privacy and authentication, showing how these transformer technologies cultivate more secure, transparent and collaborative AI environments.This meticulous method reveals the far -reaching impact of decentralization on the development of artificial intelligence, and has paved the way for the future of trust, ownership and innovation.
Computing collaboration
Blockchain technology is completely changing computing collaboration, and transforming from centralized cloud services such as AWS to a decentralized global resource network.Projects such as Render, Akash, and Gensyn prove that this evolution enables participants to contribute computing power and cultivate more inclusive ecosystems.
Model development
Different from centralized platforms such as OPENAI leading Web2, Web3 is embracing decentralized model construction.This new method (take Bittersor network as an example) has promoted collective contribution of global communities.
Data democratization
Web3 rewrite the rules.No more data is locked in the enterprise insurance library.On the contrary, imagine a dynamic community cooperation annotation data for breakthrough research, from medical analysis to autonomous vehicle training.Tools such as IPFS and Filecoin can ensure safe distributed storage, enable individuals to control their data and get rewards for contributions.This is not just data -it is a new society contract about ownership, collaboration and sharing progress.
Data privacy
The blockchain becomes your shield.Imagine that with advanced encryption and zero -knowledge proof, train artificial intelligence on sensitive medical data without exposing patient identity.Companies such as PRIVASEA and Modulus Labs are leading the trend to transform paradigms from invasive and centralized models into artificial intelligence with privacy priority.This is the promise of web3: artificial intelligence can learn and grow, while ensuring your data security and under your control.
verify
Solutions such as EZKL and WorldCoin provide safe and autonomous sovereignty management, and do not require centralized platforms to save your login credentials.Imagine that you can log in to artificial intelligence applications without relying on Facebook or Google to enhance security and let you control your digital identity.
Analysis of AI driver
Dune Analytics and Numerai platforms use cutting -edge AI algorithms to transform data analysis in Web3.Imagine, seamlessly explore complex DEFI protocols, identify investment opportunities, and make wise decisions. All these are supported by AI in transparent and community -driven ecosystems.
Intelligent body
Web3 supports the development of intelligence such as Autonolas and FETCH.AI, which can navigate decentralized networks and represent your self -execution tasks.Imagine the AI agency managing your investment, negotiating decentralized transactions, or optimizing your resource allocation by crossing the Web3 protocol, thereby opening a new era of automation and personalized services.
Final idea
The synergy of blockchain and AI in the field of web3 indicates a new era of innovation, and combines the advantages of blockchain in data ownership, transparency and moral governance with the advanced function of AI.This integration has enhanced data ownership, increasing the transparency of artificial intelligence systems, and promoting direct data currency to pave the way.It also promises to minimize the energy footprint of artificial intelligence and promote the development of moral artificial intelligence.
