Explaining Web 3.0 To A Six-Year-Old
“We are all now connected by the Internet, like neurons in a giant brain”- Stephen Hawking When you ask Siri to set the alarm for an important meeting tomorrow or for directions to an eatery that has just opened, you are able to do that because of the existence of Web 3.0. The internet is one of the greatest inventions of mankind and has transformed our lives completely. Its third-generation, Web 3.0, has just enhanced the experience ever more by using new-age technologies like artificial intelligence and machine learning to create a data-driven internet. Web 1.0 and 2.0 Vs Web 3.0 Web 3.0’s predecessors were quite different from it. The first version of the web, Web 1.0, existed till right before the turn of the century. Here, the websites were just information centres. People could access the websites to gather information posted on servers and interact with such servers in simple ways. E-commerce sites such as eBay and Amazon also existed during this phase. Web 1.0 depended on HTTP and HTML protocols with static pages, Hypertext Mark-Up Language, less real-time interaction and use of only common languages as its main features. When the 2000s hit, the second generation of the internet came along with more interactive and collaborative capabilities. Web 2.0 could support near real-time interactions leading to the emergence of social media platforms, multiplayer gaming, etc. This version of the internet also saw the emergence of data analytics, big data and machine learning algorithms coming in. Web 2.0 was more interactive, collaborative, flexible and business-oriented. And now, what started as mechanisms to sift through platforms during Web 2.0, has completely taken over in Web 3.0. This version of the internet is driven by intelligence and interactions between people, websites and people, websites and websites, and so on. While Web 2.0 was more frontend-oriented, Web 3.0 is more geared towards the backend of the internet. What makes the core of Web 3.0 AI: The major highlight of Web 3.0 is its intelligent capabilities, which is possible through the deployment of AI. Machines have been trained to process information from photos, audios, recordings to provide meaningful content that the user is asking for. AI is also crucial in business settings. It can conduct demand forecasting and better customer interactions, among others. Semantic Web: This will make machines derive meanings and emotions accurately to give the desired results while navigating the web. This is possible with the help of AI algorithms that enhance the quality of results. 3D Graphics: A big separating factor between Web 3.0 and its predecessors, 3D design helps create more real and engaging cyberspace. This has had a great impact on business opportunities, online gaming experiences, tourism, education, and e-commerce, among others. Better accessibility and connectivity: With the application of AI, the accessibility of information becomes a lot easier. The communications between devices are smoother with intelligence embedded in systems. Ubiquity: Due to the use of metadata, information is more connected in Web 3.0. 5G, IoT and other new-age technologies fuel it further. Every device is connected to the web, whose services can be used anywhere. Even bigger role in the future Though filled with advantages, Web 3.0 also suffers from issues such as uncertainty, inconsistency, information overload, etc. The internet has changed, and this transition has happened rapidly with AI, ML and big data, but more is yet to come. Almost everything we do on the internet now is due to the existence of Web 3.0 – from interacting with virtual assistants to real-time conversations on social media. Web 3.0 will play an even bigger role in the online experience in the coming years.
Web 3.0 has just enhanced the experience ever more by using new-age technologies like artificial intelligence and machine learning to create a data-driven internet
Web 3.0 has just enhanced the experience ever more by using new-age technologies like artificial intelligence and machine learning to create a data-driven internet
["AI (Artificial Intelligence)", "future", "Machine Learning"]
["big data", "future", "Go", "API", "artificial intelligence", "machine learning", "AI", "ML", "Machine Learning", "virtual assistants", "analytics", "R", "AI (Artificial Intelligence)"]
["AI", "artificial intelligence", "machine learning", "ML", "analytics", "virtual assistants", "R", "Go", "API", "big data"]
I am a technology journalist at AIM. What gets me excited is deep-diving into new-age technologies and analysing how they impact us for the greater good.

Reach me at sreejani.bhattacharyya@analyticsindiamag.com