Post actualizado el día September 27, 2026 by DeiviSanzPlay
In this article about What Is Artificial Intelligence? It’s Not What You Think, You’re Already Using It Without Knowing – chusmeando. com | arenys de mar, we explore everything related to What Is Artificial Intelligence? It’s Not What You Think, You’re Already Using It Without Knowing – chusmeando. com | arenys de mar. Discover the most important details below.
Artificial intelligence today is the biggest scam of modern perception. And no, I don’t mean it’s a technological fraud, but rather that people think it’s that far-off thing with conscious robots, when in reality you’ve been using it in your pocket for years. Most people don’t even realize it.
When we talk about what artificial intelligence is, the technical definition is the simulation of human intelligence processes by machines. But that explanation falls short. The reality is that AI isn’t a single thing; it’s a catch-all drawer where we stuff everything from the damn assistant that recommends shows on Netflix to self-driving cars. That confusion is what makes people believe they don’t use it, when the reality is they use it all the time.
The uncomfortable truth: AI is already part of your daily life
According to Samsung data, 90% of users use AI features on their phone without being aware of it. Yes, you read that right. 90%. And only 38% knew they were using it. What does this mean? That when you unlock your phone with your face, when the screen brightness adjusts itself, when spam gets filtered automatically… that’s artificial intelligence. But since it’s not called ChatGPT, people don’t identify it as such.
This is the biggest misconception about artificial intelligence: we associate it with something futuristic, when in reality weak or narrow AI (the only kind that actually exists) is designed for very specific tasks. Your voice assistant isn’t conscious of anything; it’s just programmed to recognize patterns and respond in a certain way. But of course, since it responds with a certain naturalness, people think there’s something more behind it.
Types of AI: From the one that exists to the one cinema sells us
To understand what artificial intelligence really is, you have to separate the wheat from the chaff. The main classification distinguishes between weak (or narrow) AI, general AI, and superintelligence. The first is what we use every day: assistants, recommendation engines, facial recognition systems. The second is the one that would match human intelligence, and the third is the one that would surpass it. Well then, the last two don’t exist. They’re theory, they’re futurism, they’re the perfect excuse to sell movies and create media hype.
Strong AI or AGI is the holy grail of researchers, but there’s nothing remotely like it in the real world. However, marketing and sensationalist news have made many people believe we’re about to create artificial consciousness. Wrong. Current systems, however impressive they may seem, are reactive machines with limited memory. They learn from past data to improve at their task, but they don’t understand context beyond their specific function.
The great misunderstanding of artificial intelligence
What artificial intelligence really is today is a set of machine learning and deep learning algorithms that process data to find patterns and make decisions. When we talk about machine learning, we mean that the machine learns from data without the need for explicit programming. Deep learning goes a step further, using neural networks that mimic (in a very simplified way) how the brain works.
The artificial intelligence that is truly useful isn’t the one that thinks, but the one that predicts. And it does so with a precision that’s sometimes frightening. That’s why recommendation systems get it right so often, why AI-assisted medical diagnoses are improving, why self-driving cars are becoming safer. Not because the machine is conscious, but because it has processed millions of examples and has learned to recognize patterns that would take a human entire lifetimes to identify.
From mythology to reality: the origins of what we call AI
The idea of creating artificial beings isn’t new. Greek myths already spoke of automatons like Talos, the bronze colossus that protected Crete. But modern AI doesn’t begin until the 20th century, with Alan Turing and his famous question: “Can machines think?” His test is still the reference for measuring whether a machine can fool a human into thinking it’s one.
The term “artificial intelligence” was coined in 1956 at the Dartmouth conference. Since then, the history has been a roller coaster of euphoria and disappointments: the expert systems of the ’80s, the AI winters when funding dried up, the resurgence with Deep Blue and, more recently, the boom of deep learning and generative AI. What we now know as ChatGPT or Gemini is the result of decades of research, not a technological miracle that fell from the sky.
The myth of “I don’t use AI”
The study by Fad Juventud and the Pfizer Foundation reveals that nearly half of young people (46.7%) claim to have never used AI. The figure is devastating because it’s impossible. With the daily use of phones and applications that include AI, not using AI in 2025 is like saying you don’t use electricity. The problem is one of definition: when most people think of AI, they think of ChatGPT, image generation, or humanoid robots. They don’t think of email spam filters, facial recognition, phone battery optimization, or predictive keyboards.
The artificial intelligence that exists is so integrated into daily life that it has become invisible. And that invisibility is both its greatest strength and its biggest problem. Strength because it allows millions of people to benefit from it without having to learn how to use it. Problem because it creates a brutal disconnect between public perception and technological reality, fueling irrational fears and unrealistic expectations about what AI can and cannot do.
