Web 3.0 is the upcoming third generation of the internet where websites and apps. It will be able to process information in a smart human-like way. Through technologies like machine learning (ML), Big Data, decentralized ledger technology (DLT), etc. Web 3.0 was originally called the Semantic Web by World Wide Web inventor Tim Berners-Lee. The aim was to add more autonomous, intelligent, and open internet. The Web 3.0 definition can be expanded as follows.
Data will be interconnected in a decentralized way. This would be a huge leap forward to our current generation of the internet (Web 2.0). Where data is mostly stored in centralized repositories.
Furthermore, users and machines will be able to interact with data. But for this to happen, programs need to understand information both conceptually and contextually. With this in mind, the two cornerstones of Web 3.0 are semantic web and artificial intelligence (AI).
Web 3.0, Cryptocurrency and Blockchain
Web 3.0 networks will operate through decentralized protocols. We can expect to see a strong convergence and symbiotic relationship between these three technologies and other fields. They will be interoperable, seamlessly integrated, automated through smart contracts, and used to power anything from microtransactions in Africa. Censorship-resistant P2P data file storage and sharing with applications. Such as Filecoin, to completely change every company conduct and operate their business. The current slew of Defi protocols is just the tip of the iceberg.
There are a few details that we need to keep in mind when looking into Web 3.0 tech. First of all, the concept isn’t new. Jeffrey Zeldman was one of the early developers of Web 1.0 and 2.0 applications. Supported Web 3.0 back in 2006 in his blog. But talks around this topic had begun as early as 2001.
Evolution of the Web 3.0 Technologies
Web 3.0 will be born out of a natural evolution of older-generation web tools. Combined with cutting-edge technologies like AI and blockchain, as well the interconnection between users and increasing internet usage. Apparently, Internet 3.0 is an upgrade to its precursors: web 1.0 and 2.0.
Web 1.0 (1989-2005)
Web 1.0, also called the Static Web. It was the first and most reliable internet in the 1990s. Despite only offering access to limited information with little to no user interaction. Back in the day, creating user pages or even commenting on articles weren’t a thing.
Web 1.0 didn’t have algorithms to sift internet pages, which made it extremely hard for users to find relevant information. Simply put, it was like a one-way highway with a narrow footpath.
Web 2.0 (2005-present)
This paved the way for both social networks and user-generated content production to flourish since data can now be distributed and shared between various platforms and applications.
Web 3.0 (yet to come)
Web 3.0 is the next stage of the web evolution that would make the internet more intelligent or process information with near-human-like intelligence through the power of AI systems that could run smart programs to assist users.
Tim Berners-Lee had said that the Semantic Web is meant to “automatically” interface with systems, people, and home devices. As such, content creation and decision-making processes will involve both humans and machines. This would enable the intelligent creation and distribution of highly-tailored content straight to every internet consumer.
Key Features of Web 3.0
To really understand the next stage of the internet, we need to take a look at the four key features of Web 3.0:
- Semantic Web
- Artificial Intelligence
- 3D Graphics
Ubiquity means being or having the capacity to be everywhere, especially at the same time. In other words, omnipresent. In that sense, Web 2.0 is already ubiquitous since, for instance, a Facebook user can instantly capture an image and share it, which then becomes ubiquitous since it’s available to anyone no matter where they are, as long as they have access to the social media platform.
Web 3.0 simply takes this a step further by making the internet accessible to everyone anywhere, at any time. At some point, internet-connected devices will no longer be concentrated on computers and smartphones like in Web 2.0 since IoT (Internet of Things) technology will bring forth a plethora of new types of smart devices.
Semantic(s) is the study of the relationship between words. Therefore, the Semantic Web, according to Berners-Lee, enables computers to analyze loads of data from the Web, which includes content, transactions, and links between persons. In practice, how would this look? Let’s take these two sentences, for instance:
- I love Bitcoin
- I <3 Bitcoin
Their syntax may be different, but their semantics are pretty much the same since semantics only deals with the meaning or emotion of the content.
Applying semantics in the Web would enable machines to decode meaning and emotions by analyzing data. Consequently, internet users will have a better experience driven by enhanced data connectivity.
Wikipedia defines AI as intelligence demonstrated by machines.
And since Web 3.0 machines can read and decipher the meaning and emotions conveyed by a set of data, it brings forth intelligent machines. Although Web 2.0 presents similar capabilities, it is still predominantly human-based, which opens up room for corrupt behaviors such as biased product reviews, rigged ratings, etc.
For instance, online review platforms like Trustpilot provide a way for consumers to review any product or service. Unfortunately, a company can simply gather a large group of people and pay them to create positive reviews for its undeserving products. Therefore, the internet needs AI to learn how to distinguish the genuine from the fake in order to provide reliable data.
Google’s AI system recently removed around 100,000 negative reviews of the Robinhood app from the Play Store following the Gamespot trading debacle when it detected attempts of rating manipulation intended to artificially downvote the app. This is AI in action, which will soon seamlessly fit into Internet 3.0, enabling blogs and other online platforms to sift data and tailor them to each user’s liking. As AI advances, it will ultimately be able to provide users with the best filtered and unbiased data possible.
Spatial Web and 3D Graphics
Some futurists also call Web 3.0 the Spatial Web as it aims to blur the line between the physical and the digital by revolutionizing graphics technology, bringing into clear focus three-dimensional (3D) virtual worlds. Unlike their 2D counterparts, 3D graphics bring a new level of immersion not only in futuristic gaming applications like Decentraland, but also in other sectors like real estate, health, e-commerce, and many more.
Web 3.0 Applications
A common requirement for a Web 3.0 application is the ability to digest large-scale information and turn it into factual knowledge and useful executions for users. With that being said, these applications are still at their early stages, which means that they have a lot of room for improvement and are a far cry from how Web 3.0 apps could potentially function.
Some of the companies that are building or have products that they are transforming into Internet 3.0 applications are Amazon, Apple, and Google. Two examples of applications that utilize Web 3.0 technologies are Siri and Wolfram Alpha.
Over the years, Apple’s voice-controlled AI assistant has grown more intelligent and has expanded its abilities since its first appearance in the iPhone 4S model. Siri uses speech recognition, along with artificial intelligence, to be able to perform complex and personalized commands.
Today, Siri and other AI assistants like Amazon’s Alexa and Samsung’s Bixby can understand requests such as “where is the nearest burger joint” or “book an appointment with Sasha Marshall at 8:00 am tomorrow” and immediately come up with the right information or action.
Wolfram Alpha is a “computational knowledge engine” that answers your questions directly by computation, as opposed to giving you a list of web pages like search engines do. If you want a practical comparison, search “England vs brazil” on both Wolfram Alpha and Google and see the difference.
Google gives the results of the World Cup even if you didn’t include “football” as a keyword, since it is the most popular search. Alpha, on the other hand, would give you a detailed comparison of the two countries, as you asked. That’s the key difference between Web 2.0 and 3.0.
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