Sorry for this AI-generated image. Otherwise, nobody will read this article.
I opened my medium feed. There was not even a single article that was not just a variation of an existing idea.
I opened Instagram, people want to visit the most trending places or make reels on the same audio on which already 10000 people have made reels.
Open X. People will keep posting and commenting on the same topic on which everyone else has made 10000 comments.
Open News website, every news website will report on the same 10 -20 stories on which everybody else is reporting.
Despite more than four billion people connecting through social media. People are more lonelier than ever.
Despite widely accessible information, people are drowning in misinformation. Now elections are a competition on who can spread more disinformation.
Now Generative AI is only making this problem even worse. To avoid paying money, news websites increasingly use AI-generated images in their articles.
It is like information is being generated at explosive pace. But under gravity of its own mass, information is collapsing towards 10 relevant topics of the day.
For wonder, despite access to tens of thousands of movies and series, people still watch the trash movie released this week.
One of the key reasons behind this is Social media algorithms. They actively reward uniformity. When a post “goes viral,” the platforms elevate similar content to feed users more of what has already proven to engage. In effect, this encourages creators to replicate formulas that already work — same reels audio, same trending topics, same clickbait headlines — because that’s how you get seen.
With an avalanche of information at our fingertips, many people feel overwhelmed. In that exhaustion, they return to what’s familiar or trending rather than exploring the obscure corners of the internet. People watch “the trash movie released this week” not because it’s necessarily good, but because it’s what everyone else is talking about and it’s easy to join the conversation.
