Better Ways to Use AI...
“Sunsets are beautiful, aren’t they?”
Thought the Fool.
He asked the Curious One, “What is AI, and how should I use it?”
Good Morning, Good Afternoon, Good Evening, and Good Night to all readers, wherever you may be.
Today, I’m diving into a topic that’s been swirling in my mind for quite some time. Yes, as you might’ve guessed from the title --- it’s AI.
(sound of thunder rumbling in the distance)
What Is AI, Really?
AI: Artificial Intelligence.
A mechanical brain built to help us with day-to-day tasks. A digital helping hand.
The concept was imagined long ago. The term “Artificial Intelligence” was first introduced in 1956, defined as a computer intelligence indistinguishable from that of humans.
The idea was fascinating — it sparked imaginations across the world.
You might’ve seen The Terminator (1984), a film that gave birth to both fascination and fear — fear of machines turning against their makers.
From Idea to Artificial Brain
Modern AI systems have come incredibly close to human intelligence, surpassing us in areas like speed, memory, and prediction.
These AI models or LLMs (Large Language Models) are built using artificial neurons.
And what better blueprint for intelligence than our own brains?
Just like neurons in a human brain, these artificial ones are connected together to form what’s called an Artificial Neural Network (ANN).
Each node connects to multiple others, passing signals back and forth, forming a rough, digital copy of the biological brain.
An artificial mind inside a machine.
Teaching the Machine
Of course, creating a brain isn’t enough --- we need to teach it.
When we were born, we opened our eyes, listened, and learned from what we saw and heard.
AI, however, doesn’t have eyes or ears. It learns from data, endless lines of text, numbers, and examples.
AI can be trained in three main ways:
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Supervised Learning → Giving it a clear task and the correct answers.
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Unsupervised Learning → Giving it data and letting it figure things out on its own.
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Reinforcement Learning → A mix of both, rewarding the AI for doing well.
And that’s how an AI comes to life, not born, but trained.
When AI Gets It Wrong
Now, let’s address the fools (and sometimes, we all are one).
Whenever you use an online AI model - use it for convenience, not creation.
Sure, AI can generate an image, write an article, or even code an entire system.
But here’s the catch --- half of the time, it’s wrong.
Why?
Because AI learns from the internet.
If, say, 20% of the internet’s data is misleading, that 20% sneaks into your AI-generated content too.
Then you post it online, increasing the amount of wrong information out there.
Now imagine 10,000 people doing that every second.
You can guess what happens -the more AI-generated data we add, the more the overall quality starts to decay.
So... How Should You Use AI?
Let’s take an example -baking a cake. 🎂
Don’t ask AI to bake the cake for you.
Instead, ask:
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“What ingredients should I use?”
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“What can I make with these ingredients?”
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“What should I do if I added too much sugar?”
Use AI like a kitchen assistant, not the chef.
Let it guide, suggest, and inspire, but keep your hands in the dough.
Because at the end of the day, creativity, intuition, and flavour are still human superpowers.
These are the words of the Curious One, wandering through the streets of Artificial Intelligence — sharing what he learns, one thought at a time.
If this sparked an idea or taught you something new, share it in the comments below. Let’s keep learning together.
