The world Is Getting Smaller

Since the development of the telegraph, the world has become smaller. Obviously, the planet itself is not shrinking, but technology has brought each of us closer together. A groundbreaking discovery by Watts, D. J., and Strogatz, S. H. (1998) showed that shortcuts in a network allow information to travel faster. This concept can be applied to many fields, especially mathematics and communication networks.

For example, information in the 1950s traveled far more slowly than information does in 2025. We know this largely because of social media and modern communication technologies.

Consider this question: how many degrees of separation are you from your favorite celebrity? Basic mathematics suggests about six, but this is not always accurate because it depends on the structure of the network.

To understand this, we define the following concepts:

• Nodes (vertices) → people

• Edges (links) → relationships

• Degree → the number of connections a node has

• Path → a sequence of edges

• Shortest path → the minimum number of hops between nodes

Within this web, clustering occurs when certain paths become the shortest and most efficient routes for communication. We see this clearly on platforms like Instagram and TikTok, where algorithms begin to resemble the accounts and posts you frequently follow or like. Every like or follow acts as a node in your network and contributes to clustering.

If you feel that your social media feed is filled with content you no longer enjoy, one solution is to reset your nodes—by unfollowing accounts and deliberately creating new connections aligned with your current interests. Being intentional about what you like and engage with directly reshapes your network.

As the world becomes increasingly connected, rage-baiting has become a common strategy for creating nodes, as emotional triggers drive interaction. People across the globe are constantly playing, watching, commenting, liking, and sharing. It is important to be aware of the effects of this global stage, how it influences behavior, and how it shapes communication.

AI and How It Relates

Large Language Models (LLMs) appear intelligent because they compress and traverse dominant patterns in language. They generate the most statistically coherent continuation of text, not verified truth. As a result, widely repeated information can exert a strong gravitational pull, regardless of its factual accuracy.

As we continue to traverse the internet into the future, this model of information generation can become detrimental to factual evidence. Currently, Kreatur Limited is attempting to address this issue by creating a safer space for LLMs through its company, Logically, which aims to prevent the formation and spread of false informational nodes.

Today, we must be more aware than ever of the information being fed to us, because it is easier than ever to be misled by a mirage.