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Many people used ChatGPT and thought, ‘Now I finally know what AI is.’ Two years ago, the mere fact that machines could hold a conversation shocked the world. But honestly? That shock is already old news.
In the brief moment we’re marveling at ChatGPT’s novelty and using it in our daily lives, AI is evolving faster and more fundamentally than we could ever imagine.
This isn’t just a technical discussion about a smarter chatbot. This is reality—directly linked to your job security, productivity, and economic survival. Today, Oing is going to tell you, directly and frankly, how the AI you once knew died and how the new AI was born, detailing the 3 core shifts.
1. 60 Years of Failure, 10 Years of Revolution
We tend to think AI suddenly popped up, but the truth is, it has a long history of failure spanning over 60 years. Since the 1950s, scientists tried to teach machines ‘rules.’
“A cat has four legs, fur, and whiskers.”
“In grammar, a verb follows the subject.”
They inputted every rule humans knew into the computer. What was the result? A catastrophic failure. Machines couldn’t recognize a cat and couldn’t understand our language. This was because the real world is full of exceptions and variables that human-made rules simply couldn’t explain.
Then, in 2012, everything was flipped on its head.
They changed the approach itself. They gave up on ‘teaching’ and let the machine ‘learn for itself,’ like a human child. They simply threw hundreds of billions of sentences and millions of cat pictures at it.
“Here is the data. You find the rules yourself.”
The machine began to autonomously discover subtle patterns and rules within that vast data that humans couldn’t even find. This is the ‘Learning-Based AI,’ and it is the true starting point of every revolution we are experiencing now.
2. AI Now ‘Sees, Hears, and Speaks’ (Multimodal)
The first giant change is that AI is no longer confined to ‘text.’
The ChatGPT we knew was a chatbot that understood only Text. But current AI simultaneously understands and generates text, images, sound, and video. This is called Multimodal.
What does this mean for you?
- If you show the AI a rough sketch on a napkin, it can turn it into actual website code.
- If you give it a two-hour lecture video, the AI will watch it and create a core summary.
- It can listen to your voice and compose and sing a song in your style.
This is not a simple feature addition. It means the area AI can automate has expanded infinitely from ‘writing’ to the domains of ‘creation’ and ‘specialized skills’—like design, video editing, composition, and coding—that were once believed to be exclusively human territory.
What are you doing to catch up with this speed?
3. The ‘Parrot’ Has Started to ‘Think’
The second shift is far more critical and, perhaps, chilling. AI has moved beyond the stage of ‘prediction’ to ‘reasoning.’
Early ChatGPT was essentially a smart parrot. Using a technique called ‘Transformer,’ it predicted and spat out the word most likely to follow the given word.
That’s why it occasionally produced confident lies (hallucinations) that were grammatically perfect but nonsensical, like “King Sejong threw a MacBook.” It simply combined plausible-sounding words; it wasn’t truly ‘thinking.’
But today’s AI is different.
Using techniques like ‘Chain of Thought,’ it doesn’t immediately give an answer to a complex question. It breaks the problem down into multiple steps, logically reasons and verifies each stage, and then provides the final answer.
This signifies that AI is evolving from a simple ‘prediction machine’ to a ‘strategist’ capable of solving complex problems. Hallucinations are decreasing, and logic and accuracy have become extremely high. It is no longer a toy; it has become a truly formidable tool.
So, What Should You Do?
There is one most surprising fact amid all these changes: the speed of human adaptation.
In just two and a half years, we are living in an era where we can’t complete homework without AI and consult AI on our most private concerns. This speed proves that this technology is not a mere fad but an ‘essential tool,’ like electricity or the internet.
Here is the core takeaway. These 3 changes (learning method, multimodal, reasoning) have made AI an overwhelming productivity tool.
The gap is no longer between people who use AI and those who don’t. It is widening based on ‘how well you use AI.’ Your competitor is using AI to complete in a single day what would take you an entire week.
The colossal wave of AI has already begun. Ignoring the wave is not an option. Learning how to ride it is the only survival strategy.
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