At least 80% of the time that more than three billion people are awake, they use Web 2.0 services. Even though the Web 2.0 wave is still strong, a new paradigm shift in internet applications is starting. This shift is called Web 3.0.
Web 3.0 is the third change to the Internet, and it will let people talk to each other in real-time using machine learning, A.I., and blockchain technologies.
Still, before we fully understand Web 3.0, we need to know how the Web has changed from its early days to the present.
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How the Web has Changed
As time went on, the Internet’s best features became clear. How people use the Internet is a big change from when it first started. Most new features focus on making it easier for users to participate and giving more people access to the Internet. Web 1.0, Web 2.0, and Web 3.0 are the three different times in the history of the World Wide Web.
Web 1.0 (1989 – 2005)
Tim Berners-Lee in Switzerland made the first reliable Internet, called Web 1.0, in the 1990s. It was called the “read-only web” during its first generation because it only allowed one-way communication, like reading content. Balachander Krishnamurthy and Graham Cormode said that there were only a small number of content creators and that most users were just content consumers.
Web 1.0’s page layout was based on four main ideas: fixed-layout pages, content served directly from the server’s file system, pages built with the help of the Common Gateway Interface (CGI) or Server Side Includes, and the use of both tables and frames to make sure the different parts of a web page are in the right place.
Web 2.0 (2005 – Present)
Web 2.0 comprises three main parts: social networks, cloud services, and mobile devices. Web 2.0 applications are easy to use and flexible, making it easy for the site owner and visitors to share information.
Web 3.0 (Yet to Come)
Web 3.0, also called the Semantic Web and named by Tim Berners-Lee, is the next step in the evolution of the Internet. It will make the Web smarter or allow it to process information with near-human intelligence using A.I. By turning the Web into a database; people will be able to interact with each other and use forms in new ways. In Web 3.0, data will be shared instead of owned.
Web 3.0 will eliminate the need for middlemen in transactions where people and machines in different parts of the world who don’t know or trust each other trade information, labor, and money. Web 3.0 will reduce the amount of trust that is needed for coordination on a global scale. It will be the first step toward trusting all network members instead of making them trust specific people.
Even though web3 technology is still young, a web3 development company can help businesses immediately prepare for the change. Considering the positives, the switch can only help a company grow and make more money in the future.
With Web3, people and machines can talk to each other in ways that have never been done before. When potential counterparties have more choices, they can interact more, like sharing more information, making payments easily, and sending data that can be trusted. When Web 3.0 is fully in place, machines and people can talk to each other without intermediaries charging for their services.
What is Web 3.0?
In Web 3.0, the next version of the Web, technologies like Big Data, Machine Learning, Artificial Intelligence, decentralized ledger technology, and others will let apps and websites process data in a way that is hard to tell from how a human brain does it. The goal of Web3 is to make the Internet smarter, more open, and more able to run itself. This is why it is called the “semantic web.” Web 3.0, also called the Semantic Web, combines the best parts of Web 1.0 and Web 2.0 and adds A.I.
In the May 2001 issue of Scientific American Magazine, Tim Berners-Lee, James Handler, and Ora Lassila laid the groundwork for the Semantic Web. They said, “A new type of Web content that computers can understand will open up a revolution of new possibilities.”
In Web 3.0, machines and people work together to make content and judge it. It changes the Internet’s role from being a sidekick to a key player in creating content and processes.
The most important parts of Web 3.0 are:
- Semantic Web
- A.I. and M.L.
- 3D Graphics
- Coherence and Pervasiveness
- Unauthorized and Untrusted
Web 3.0 Correlation with Blockchain & Cryptocurrency
Because both Web3 and technologies like blockchain and cryptocurrency are based on decentralized protocols, we can expect them to work well together and converge. Using smart contracts will make it easier for these three technology platforms to connect, be automated, and work with each other. So, Web 3.0, blockchain, and cryptocurrencies can make possible everything from censorship-resistant P2P data storage and microtransactions to a complete change in how businesses are run and done.
The Pros and Cons of Web 3.0
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Benefits of the Web 3.0:
- Because Web3 will make it easier to connect to data, it will be easier to share data over the Internet.
- Better presentation of data
- It’s easy to talk to each other and share information.
- How information is kept secret and how data is managed
- Access to information is easy, and the ability to process data has improved.
- You can quickly and easily get around the Web based on your wants.
- Advanced software that is portable and unique
What Web 3.0 Can’t do:
- Web 3.0 technology is still in the works.
- It might be hard to understand for newcomers.
- Older devices can’t handle how complicated Web3 is.
- More time will be spent online.
- Without privacy policies, it will be easier to get a hold of sensitive information about a person.
The Future of Web3
But cryptocurrencies are only the tip of the iceberg regarding the Internet’s next generation. It will give users personalized suggestions, an improved virtual assistant that works like a real person, and other decentralized benefits that make the Web more responsive. In Web 3.0, machines, people, and businesses can connect their data securely. This will lead to new business models and markets. This will be done with the help of algorithms that help machines learn independently.