Web3 imagines a decentralized, secure, and user-focused digital environment in the upcoming internet era. A handful of major technology companies will no longer monopolize the fundamental capabilities of the Internet once Web3 reaches full development. Consequently, users will enjoy increased control over their data, with rewards distributed more equitably and censorship reduced.
Despite the absence of a universally accepted definition, these two points below represent the critical features of Web3.
Numerous private companies currently dominate the creation and profit from content, leading to content creators needing compensation and being sidelined. In Web3, creators have complete control over digital assets, AI models, and data. While only a handful of companies are constructing blockchain platforms, this ensures creators have exclusive control over their data, allowing them to repurpose or share it at their discretion.
Merely granting users ownership or offering tokens as incentives isn’t sufficient for ensuring long-term sustainability. Tokens must deliver tangible value to users. In the Web3 context, the content generated and the creativity and intellect invested in it transforms into new value through a personal AI. Unlike the past decade, where big tech utilized centralized AI models to extract user value and insights, Web3 democratizes AI capabilities, making them accessible to everyone, not just those with substantial resources. AI models in Web3 are trained based on creators’ knowledge, passions, and experiences.
Web3 evolution is primarily driven by AI, contributing to a more decentralized, secure, and user-centered Internet. With AI capabilities integrated into various aspects of Web3, digital experiences can become increasingly intelligent, efficient, and personalized.
Automated Cyber Weapons & Exploitation of Code – Global cybersecurity faces threats from AI-driven cyberattacks. Strong security measures can help minimize the risks associated with AI-powered cyber attacks. AI-driven security systems play a crucial role in identifying and responding to cyber threats generated by AI. By analyzing patterns in code and pinpointing vulnerabilities, these systems can reduce the likelihood of AI-generated exploitation attempts. Additionally, integrating blockchain technology enhances the security of open-source software development.
Trust Collapse – The widespread use of AI-generated content may erode public trust, as scepticism about content authenticity grows. Restoring public trust is possible through methods like watermarking or labeling AI-generated content. Additionally, individuals can differentiate between genuine content and AI-generated fabrications by developing media literacy.
Fake News and Reality Collapse – AI-generated fake news is a significant problem. Techniques like linguistic analysis, metadata tracking, and reverse image searches help identify such content. Blockchain authentication ensures the traceability of news articles by storing metadata-author’s identity and publication date-on a tamper-proof ledger for readers to verify.
AI and Web3 are set to transform the digital landscape. The adoption of Web3 has the potential to democratize access to AI technologies, allowing individuals to develop their solutions on a decentralized platform and reshaping business strategies across the Internet.
Moreover, AI and Web3 will be crucial in shaping a user-centric Internet of Things. Beyond personalization, Web3 promises complete data autonomy, tailored internet experiences, and the development of ethical internet platforms for individuals.
Sources: hashstudioz.com, waracle.com
