For most internet users who avidly scroll through social media and casually browse the web, it’s clear that recent technological advancements are changing the way we interact online and challenging our understanding of privacy and control in the digital space. In this article, we discuss one specific aspect of this technological evolution—the convergence of artificial intelligence (AI) and Web3 technologies.
Current digital directions and developments
Web3 represents a much-needed shift toward a decentralized Internet structure that emphasizes user ownership and control of data, in stark contrast to the centralized models of Web1 and Web2. This decentralization opens up new ways to personalize user experiences and create secure, transparent interactions without the oversight of large tech entities.
In 2024, we will witness a major shift toward more efficient and accessible AI models. New open models will democratize AI by allowing more institutions to research, train, and improve existing models. These models can run natively on the device, providing enhanced privacy and security, and making AI more interpretable by reducing the complexity of the decision-making process.
In addition, the increasing emphasis on model optimization is promoting the use of artificial intelligence in various real-world scenarios. Open source tools and datasets enable organizations to quickly develop custom AI models without the need for expensive infrastructure. These advances are particularly important in professional fields such as law, healthcare, or finance, where custom solutions can run on local hardware, bypassing privacy and third-party concerns.
The International Monetary Fund (IMF) highlights the economic transformation that artificial intelligence is expected to bring. Nearly 40% of jobs worldwide will be affected by artificial intelligence, including high-skilled tasks and routine tasks. Advanced economies may enjoy greater benefits from AI integration, but there is also a risk of increasing income and wealth inequality within countries. Policymakers are urged to address the social impacts of AI and ensure that its benefits reach all segments of society.
The integration of AI with Web3 promises to apply these developments to a decentralized future, enabling everything from smart blockchain protocols to enhanced data marketplaces and personalized services on the decentralized web. When combined with SourceLess’ products such as Web3 Wallet and STR Domains, it is possible to achieve superior security, user control and innovative digital identity solutions that are aligned with the latest technology changes.
Welcome to the complex world of Web3
As an upgraded Internet framework, Web3 promises to provide a decentralized environment that gives users more control over their data, identities, and transactions. However, its adoption has been slow, in part due to the steep learning curve associated with its platform and the technical expertise required to manage digital wallets and interact with smart contracts and dApps. This complexity poses a challenge to widespread adoption, creating a gap between technology potential and practical applications. The complexity of Web3 lies not only in its technical foundation, but also in the paradigm shift it requires from users and businesses. (Hackernoon)(Analytics Vidhya).
Despite the promise of a decentralized future, the issue of trust has become a critical issue. The collapse of the FTX exchange is an example of the disastrous consequences that can occur when users trust centralized institutions in the cryptocurrency space. Additionally, the complex technologies involved in using the Web3 platform can be intimidating to newbies, potentially hindering the inclusivity and accessibility that Web3 strives to achieve (Analytics Vidhya).
In addition to these adoption challenges, the potential impact of Web3 on content distribution and monetization is worth noting. It offers an opportunity to replace the traditional centralized model dominated by giants such as YouTube, Netflix and Spotify. Web3 enables content creators to connect directly with their audiences, enabling fairer revenue distribution and more secure digital content ownership. The model is also expected to bring new revenue streams, such as micropayments and peer-to-peer transactions.
To fully harness this potential, businesses and individuals must understand the complexities of Web3 and AI and explore how they can be leveraged to create systems that are not only more efficient but also fairer and more inclusive. As these technologies continue to evolve, they offer opportunities to redefine digital experiences and lay the foundation for a more equitable and connected world.
AI and WEB3: A happy marriage?
The integration of AI in Web3 can be seen at multiple levels of the technology stack. We are observing the gradual but definite development of “smart blockchains,” in which machine learning (ML) models are embedded into core blockchain infrastructure to enhance transaction processing and security protocols. This could lead to blockchains that can not only execute transactions, but also predict and adapt to user behavior.
In the world of decentralized applications (dApps), integrating machine learning to create a more dynamic and responsive user experience is a notable trend. For example, non-fungible tokens (NFTs) can transcend static assets and become more interactive and behaviorally adaptable, enhancing their appeal and functionality. This is consistent with Web3’s broader goal of delivering more user-centric services that protect privacy while enabling complex digital interactions.
When it comes to the role of AI in Web3 smart protocols, such as those used in decentralized finance (DeFi), there is potential for more granular smart contract logic based on ML models. This will revolutionize DeFi services by providing smarter risk assessment, pricing models and overall financial management.
The potential of AI in Web3 marks a critical shift towards a more personal, equitable and user-centric digital ecosystem. Here is a brief exploration of why the integration of AI into Web3 promises to bring revolutionary changes in various dimensions:
1. Emphasize individuality rather than generalizations
Historically, big tech companies have used centralized artificial intelligence to mine user data for insights, often benefiting a few. However, Web3’s goal is to democratize the benefits of AI, cultivating a more inclusive digital world by customizing AI models to reflect each creator’s unique knowledge, passion, and experience.
2. Turn users into owners
In the current paradigm, content creators are often shortchanged and large corporations monopolize profits from user-generated content. Web3 introduces a paradigm shift where creators retain full control over their data, AI models, and digital assets, giving them autonomy over their creations.
3. Bridging scarcity and practicality
Sustainability in Web3 goes beyond token ownership; it requires that tokens provide tangible value. Personal AI models in Web3 unlock new realms of creativity and collaboration, turning social tokens into tools of real-world utility and public value.
4. From passive consumption to active participation
Unlike traditional platforms designed for passive consumption, Web3 fosters a collaborative network where creators and communities interact directly through personal artificial intelligence and social tokens, redefining the dynamics of value creation and exchange.
5. Rethink subscriptions and investing
Web3 reimagines the creator economy, enabling communities to invest directly in creators and their AI tools, creating a more sustainable model for creators to thrive and communities to share their success.
6. Key areas for AI integration in Web3
- smart contract: Artificial intelligence enhances smart contracts with complex decision-making capabilities, automating complex transactions and optimizing efficiency and security.
- Decentralized Autonomous Organization (DAO): Artificial intelligence simplifies governance and decision-making, ensuring transparency and adaptability to foster community trust.
- Decentralized artificial intelligence: Combining artificial intelligence with decentralized technologies can bring benefits such as enhanced privacy, security, and distributed computing, paving the way for collaborative model development and incentivizing participation.
- personalise: AI-driven personalization tailors Web3 experiences to individual user preferences, increasing engagement and user satisfaction.
- Web3 applications: Natural Language Processing (NLP) enhances user interaction, making Web3 applications more intuitive and accessible.
- Data analysis and insights: AI’s data processing capabilities reveal insights in Web3, guiding optimization and innovation.
- Security and privacy: AI enhances Web3 security with advanced threat detection and ensures user privacy with sophisticated encryption technology.
Each of these components not only demonstrates the potential of artificial intelligence combined with Web3, but also points to future trends where these technologies can redefine how digital services are delivered and consumed.
However, as pointed out in the first part of the article, integrating AI into Web3 also brings big problems and challenges. There are technical barriers to decentralized AI services, particularly because AI solutions have traditionally relied on centralized data processing. Overcoming these obstacles requires new approaches to training and executing AI models in decentralized environments.
Having said that, the interplay between AI and Web3 is expected to lead to a more connected and intelligent digital ecosystem, offering innovative solutions that prioritize user control and privacy.
SourceLess: Vision for the next wave of Internet development
All of these insights paint a picture of a future where Web3 technologies play a vital role in shaping new, democratized digital experiences.As part of this evolving landscape, SourceLess’ Web3 solutions integrate Ares Artificial Intelligence and the company’s suite of products – including Passive Web3 wallet, STR field (Digital Identity Management Solution), STR talk (private, decentralized communication tools) and more—enhancing user control, security, and innovation in digital identity and finance.Through these tools, SourceLess aims to simplify the complex processes of Web3 and make them more accessible, allowing users to take advantage of the transformative potential offered by blockchain and AI technologies
To learn more about SourceLess’ AI development within the global blockchain Web3 framework, visit https://www.sourceless.io and connect to our growing Web3 community of technology enthusiasts and creators: https ://t .me/无源
refer to:
https://www.ibm.com/blog/artificial-intelligence-trends
https://hackernoon.com