#001 The evolution of Internet

What better way to begin than from the basics?

So, how exactly did we get to “Web 3.0”, the talk of the town? Stay with me . . .

WEB 1.0

World wide ‘Web’ 1.0 is the earliest version of the internet. It was notorious in the 20th century (1901 – 2000). You would say not too far from now, right? Right.

It is also called the Read Only Web. That is, if you’re using Web 1.0, you would only be able to read content (on text or image). It is a one-way communication whereby there are no feedbacks. Thus, its rank in interaction is very low, like a one-way road. You only read and take your leave when you’re done.

Examples below:

Click here to have a feel of web 1.0: elijahlist.com, a website created by Steve Shultz in 1997. Also, Cameronsworld.net, the Cameron’s world archive from the 1990s.

WEB 2.0

It is also called the ‘‘Read-Write Web’’ or ‘‘Social Web’’ and here we are today (well, at least for now)

It came with a shift in how the internet was used. We now enjoy a two-way communication. That is, you can do more than reading this post. You can comment, you can reply a comment. You can tell me if you understand what you’re reading or not. I’m able to know what to do better by also reading your comments and replies. In other words, there is more interaction, and this increases shared knowledge.

Examples below:

Examples include: YouTube, Wikipedia, Facebook, Twitter and Blogsites.

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Wait for it . .  . .

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Web 2.5!

Yes, the focus of everyone is on Web 3.0 and its imminent adoption.

Guess what? That’s not happening today and neither is it tomorrow. Hence, Web 2.5.

Consider Web 2.5 as the wind breaker between the passing of 2.0 and the slow adoption of 3.0. It is the era of much learning and experimentation. Take for instance, the upsurge in decentralized projects. The same for Artificial Intelligence, Metaverse and acquiring digital assets, to mention a few.

Here comes the big guy . . .

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WEB 3.0

This is called the “Read-Write-Execute Web’’.

Machine learning and artificial intelligence pop up here. With Web 3.0, AI and ML contribute to Web 3.0 by helping to analyze and understand data, providing more personalized and context-aware experiences for users. Examples include recommendation systems, virtual assistants, and predictive services.

Another key feature Web3 advertises is De-centralization.

Decentralization is a key aspect of Web 3.0, but it's not directly related to AI or ML. Decentralization aims to distribute power and control across a network, reducing the influence of centralized authorities. Blockchain is one technology that enables decentralization.

For instance, Mark Zuckerberg owns Facebook and he set the rules (this is centralization). This is not so on web 3.0. (Which Mark is working on, AKA Meta)

Everything on the internet will run on a decentralized platform e.g Blockchain (we'll talk about this soonest)

Being banned, blocked or sanctioned is nothing to worry about. Users can post anything and whenever.

That’s something, isn’t it?

Find out more on what makes Web3.0 special here

I’ll see you in the next one.