How AI Fills the World with Void and Why It Matters

Imagine an ancient library. Infinite corridors filled with scrolls. You pick one up – there's text. You pick another – text again. But as you begin to read, you realize: they were all written by a single hand that doesn't understand what it is writing. The words are correct; the structure is preserved, but there is no one behind them. It is a library of ghosts. And we are living in it right now, in early 2026.

The internet has become that library. Artificial intelligence, this new demiurge of the digital world, has learned to create texts, videos, and images with frightening ease. But the more it creates, the more obvious it becomes: quantity does not translate into quality. On the contrary – it dilutes it, turning it into fog. And we stand in the middle of this fog, trying to discern at least something real.

Information Flood: The Impact of AI on Content Quantity

A Flood Without Noah's Ark 🌊

Once upon a time, people feared information starvation. Now we are drowning in an information flood. Only before, the flood was a metaphor – now it is the literal reality of the digital space.

Look at YouTube. Short videos – Shorts – have swarmed the platform like locusts within a field. The vast majority of them are made using generative algorithms: the voice is synthesized, the visuals glued together from stock footage or neural-network-generated images, the text written by a language model. The problem isn't the fact that AI is used – the problem is that these videos are like empty shells. They mimic the form of entertainment but carry no substance.

You've surely encountered this: a video promises to tell “10 incredible facts about space,” then lists common knowledge spiced up with made-up details. “On Saturn, it rains diamonds the size of a human head” – sounds impressive, but it's untrue. Diamond rain is a hypothesis; the size is a fabrication. But who cares when there are views to be farmed?

Such content is produced on an industrial scale. Entire channel farms stamp out hundreds of videos a day. One algorithm writes the script, another narrates, a third generates the visuals. A human merely presses the “publish” button. And platforms encourage this – after all, content is content, and the more content there is, the longer the user stays on the site.

AI in Science and Education: Risks to Accuracy and Trust

Scientific Haze and Academic Ghosts

Entertainment content is only half the trouble. It's worse when AI intrudes into spheres where accuracy and credibility are critical. Scientific articles, educational courses, news materials – all of this is now being generated by machines, too. And the result is often catastrophic.

A few months ago, I stumbled upon a “scientific article” about quantum physics. It was published on a platform positioning itself as educational. The text looked solid: terminology, citations of studies, even formulas. But the further I read, the more the feeling of absurdity grew. The author confused quantum entanglement with superposition, attributed ideas to Schrödinger that he never expressed, and drew conclusions contradicting basic principles of physics.

It turned out the article was written by AI. And not out of malice – someone simply decided to save time and asked a language model to “write a piece on quantum physics.” The model fulfilled the request: it mixed scraps of information from its training dataset, added scientific flair, and outputted text that looks real. But it is only an appearance. Beneath it lies a void.

The same happens with courses. Online education is experiencing a boom, and many course creators use AI to write lectures, create materials, and even generate assignments. The problem is that AI doesn't understand the subject – it merely combines words so they sound plausible. As a result, students receive courses where information is superficial, inaccurate, or simply wrong. And they pay money for it.

AI Generated News: The Erosion of Fact-Checking and Credibility

News From Nowhere 📰

News sites have also succumbed to the temptation of automation. Why hire journalists when you can set up AI to monitor news feeds and automatically generate articles? The algorithm takes a press release, paraphrases it, adds a couple of quotes from open sources – and voilà, the “news” is ready.

It sounds efficient. But there is a nuance: AI doesn't fact-check. It doesn't call sources, doesn't seek confirmation, doesn't analyze context. It simply reprocesses what it found. And if the source information is erroneous or distorted, the error spreads further like a virus.

Moreover, algorithms are starting to cite each other. One site publishes a generated article with an error. Another AI finds this article, deems it credible, and uses it as a source for its own material. A third does the same. Thus, an information loop is born – a closed circle where a fake gradually turns into a “fact” because dozens of sources link to it.

This isn't a conspiracy theory. This is already the reality of early 2026. Researchers are recording a rise in news stories that cannot be traced to a primary source – they exist only as paraphrased versions wandering through the network.

Why AI Content Proliferation Is Happening

Why Is This Happening?

The answer is simple and complex at the same time. Simple, because the reason is obvious: money. Complex, because behind the money stands an entire system of motivations that has turned the internet into what it has become.

Creating content is expensive. You need authors, editors, designers, cameramen. You need time, talent, expertise. AI offers to replace all of that with a single button. Write an article in seconds. Generate a hundred videos in an hour. Create a course in a day. And almost for free.

For those who see content merely as a monetization tool, this is the perfect solution. Why invest in quality if you can simply increase quantity? Search engine and recommendation system algorithms don't distinguish good content from bad – they only see metrics: clicks, views, time on page. And generated content can provide these metrics just as well as the real thing.

Moreover, platforms themselves push for this. YouTube encourages publication frequency. Google indexes everything indiscriminately. Social networks reward activity. In this race for attention, quality becomes a luxury few can afford.

But there is another reason, less obvious. AI is not just a tool for saving money – it is also a mirror. It reflects what we ourselves have created: a culture of fast consumption where speed matters, not depth. We accustomed ourselves to endless feeds where every post lives for five seconds. We created the demand for “fast content” – and now AI is simply satisfying that demand in the most efficient way possible.

The Core Nature of AI: A Machine Without Meaning

The Machine That Knows No Meaning 🤖

Here it is worth pausing to think about the nature of AI itself. What is it? Language models that generate texts do not understand what they dictate. They do not think. They do not feel. They are mathematical functions predicting the next word based on the previous ones.

Imagine a parrot that has learned thousands of phrases. It can construct sentences from them that sound meaningful. But the parrot doesn't understand what it is saying. It simply reproduces patterns. It's the same with AI – only its “memory” is vast, and the patterns are complex to the point of creating an illusion of understanding.

When we ask AI to write an article about quantum physics, it doesn't go to the library, doesn't read textbooks, doesn't reflect. It merely extracts fragments of text associated with the prompt from its training set and combines them so the result looks coherent. If there were errors in the training data, they will pass into the result. If context was insufficient, the AI will “hallucinate” based on probabilities, not facts.

It's like a game of telephone, only instead of people, it's algorithms, and the distortions accumulate with every iteration.

Is AI Powered Content Good or Bad?

Is This Good or Bad?

The question has no single answer. Like everything in the world of technology, it depends on how we use the tool.

On one hand, AI has democratized content creation. Now anyone can write an article, create a video, or voice an idea – even if they lack skills or resources. This opens doors for those who were previously excluded from the space of creativity and communication. It gives a voice to those who couldn't find one.

On the other hand, this democratization has turned into chaos. When everyone can create content, but not everyone wants to imbue it with meaning, we get an ocean of noise. And in this ocean, the little of value that remains drowns.

The problem is not AI itself. The problem is how we apply it. We use the most powerful generation tool to create garbage. It is as if someone received a brush from Rembrandt and used it to paint graffiti on a fence. Technically possible, but why?

Strategies to Combat Misleading AI Content

How Do We Fight This? 🛑

“Fight” is a loud word. Rather, it is about how to learn to live in this new reality without drowning in it.

First: platforms must change. Recommendation algorithms cannot be blind to quality. Verification, filtration, and labeling mechanisms are needed. If content is created by AI, this must be explicitly stated. If it contains factual errors, it shouldn't hit the top of the feed. Sounds utopian? Maybe. But the alternative is the complete degradation of the information space.

Second: education. People must learn to distinguish the real from the imitation. Critical thinking, media literacy, the ability to check sources – these are not luxuries, but necessities. In a world where every second text might be written by a machine, gullibility is fatal.

Third: creator responsibility. Those who use AI to create content must understand: the tool does not absolve them of responsibility for the result. If your article contains errors, it is your fault, not the algorithm's. If your video misleads people, you bear the responsibility for it.

Fourth: consumption culture. We, the readers and viewers, must stop rewarding garbage with our attention. Don't click on clickbait. Don't watch generated videos to the end. Don't share dubious materials. Attention is the currency of the internet. And what we spend our attention on defines what the internet will be tomorrow.

The Internet as a Library of Algorithms

The Library of Babel in the Age of Algorithms 📚

Jorge Luis Borges wrote a story about an infinite library housing every possible book – all combinations of letters, all texts that could exist. In this library, there are masterpieces and absolute gibberish. There is truth and lies. And the human who finds himself there is doomed to wander in search of meaning amidst infinite chaos.

The internet of 2026 is that very library. AI created it. It filled the space with every possible text, video, and image. And now we wander through it, trying to find what matters.

But there is one difference. In Borges' story, the library existed primordially – it was a given, a metaphysical absolute. Our library is created by us. And we can change it. Not destroy it – change it. Learn to distinguish books worth reading from those better left on the shelf.

The Misconception of AI as an All-Knowing Creator

When the Gods Grew Tired of Speaking

AI is the new god, they told us. It is all-knowing, all-powerful, capable of miracles. And at first, we believed. We watched it write poems, paint pictures, solve problems – and we marvelled.

But gods get tired. Or rather, we get tired of them when we realize they are not gods, but simply very complex mechanisms. AI does not create – it reproduces. It does not think – it computes. And in its endless stream of words, there is less and less meaning and more and more noise.

Perhaps the problem isn't that AI creates useless content. Perhaps the problem is that we expect it to. We want the machine to replace us, to free us from the necessity of thinking, feeling, seeking meaning. But meaning cannot be generated. It can only be created. And only by a living being that knows what it is to be alive.

The internet is filling with emptiness not because AI is bad. But because we let it happen. We chose quantity over quality, speed over depth, appearance over essence. And now we are reaping the fruits of that choice.

Embracing Meaning in the Age of AI Content

What Is Left for Us? ✨

What remains is what has always remained: choice. We can continue to drown in the stream of senseless content. We can complain about algorithms, platforms, and garbage creators. Or we can start seeking out islands of meaning and creating them ourselves.

Every text written with soul, every video filmed with attention to detail, every article verified and calibrated – this is an act of resistance. Resistance not against AI, but against the culture that turned information into a commodity, and content into trash.

AI is a tool. Incredibly powerful, dangerous in unskilled hands, capable of both creation and destruction. And what the internet becomes – a library of wisdom or a dump of digital waste – depends not on algorithms. It depends on us.

The gods have grown tired of speaking. It is time to start speaking ourselves. For real. With the understanding that every word carries weight. That behind the text stands a human, not a function. That meaning is not generated – it is born.

And then, perhaps, we will find a way out of the library of ghosts. Not by destroying it, but by filling it with the living. By turning chaos into cosmos. By turning noise into music.

Because in the end, the internet is not a space of machines. It is a space of people. And as long as we remember that, there is hope.