web 3.0

What is web 3.0

The world is moving to the next phase of the internet it is the third generation of internet services that run on blockchain technology. Web 3.0 has advantages and disadvantages. Web 3.0 is similar to bitcoin and it is decentralized.

Web 3.0 is a new age iteration of internet services based on a decentralized blockchain. The data on web 3.0 is not held by a single party, it is on the public controlled by the users in the network.

The data will be stored on multiple computers and there won’t be any downtimes and the data can be accessed from any time from any device,

Web 3.0 is more private you can read, download, make payments without revealing who you are.

Web 3.0 has enough artificial intelligence and semantic web as the pillar

Web 3.0 the decentralized web

Web 3.0 is the next stage of the evolution of the internet, it is a semantic web that involves read-write execution, web 3.0 driven by three layers

Decentralized data networks

Edge computing

Artificial Intelligence coupled with Machine learning Algorithms.

Advantages of web 3.0

End users will have more control of the data.

More accurate results

No single point of control

No downtime, because data is stored in a decentralized environment


Technology is not ready

Some services may no longer free

It is easier to get any user’s public information.

On the web, 3.0 users would control the ads more than advertisers do. Web 3.0 users will have full control over their data and a third party gets to use it.

Advertisers can’t access personal data or show ads to users without permission

Digital advertising will go three-dimensional brands will use virtual reality to serve the users with the products. The best example would be Facebook, metaverse which builds a virtual reality environment where you can buy stuff in the virtual world by paying.


This was the simplified explanation of web 3.0 we also mentioned the advantages and disadvantages of web 3.0 The world will go more virtual with artificial intelligence, semantic, and machine learning at the back.

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