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Join date: Sep 20, 2022

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At procoders.tech you can read about Web 3.0. It's still far from being fully adopted, but its basic concepts are mostly already defined. The four topics highlighted below are generally considered to be the most important aspects of the future of Web 3.0.


Semantic markup

Over time, machines have become better at understanding the data and content that people create. Nevertheless, there is still a long way to go to create an ideal experience in which semantics is fully understood. For example, using the word "bad" can in some cases mean "good". For a machine to understand this can be incredibly difficult. However, with big data and more information to learn, artificial intelligence is starting to better understand what we write online and present it intuitively.


Blockchain and cryptocurrencies

Data ownership, the online economy and decentralization are important aspects of the future of Web3, according to Gavin-Wood. We'll look at this topic in more detail later, but blockchain provides a proven system for achieving many of these goals. The ability for anyone to tokenize assets, put information on the web, and create digital identities is a huge innovation that is right for Web 3.0.


3D visualization and interactive presentation

Simply put, the appearance of the Internet is going to change a lot. We are already seeing a movement towards 3D environments that even include virtual reality. The metaverse is one of the areas where this experience first appeared and we are already familiar with communication through 3D video games. The fields of UI and UX are also working on providing information in a more intuitive way for web users.


Artificial Intelligence

Artificial intelligence is the key to transforming human-generated content into machine-readable data. We are already familiar with customer service bots, but this is just the beginning. Artificial intelligence can both present us with data and sort it, making it a versatile tool for Web 3.0. The best part is that artificial intelligence will learn and improve, reducing the work required for human development in the future.

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