To understand AI, think in layers
🚀 Many people think AI progress is about bigger models or new buzzwords.
But that’s not the real shift.
To understand AI, think in layers:
🔹 Rules-based AI followed instructions written by humans.
No thinking. No learning.
🔹 Deep Learning learned patterns from data.
It didn’t know things — it recognized them.
🔹 Generative AI creates content.
Text, images, code — impressive, but mostly reactive.
You ask → it responds.
🔹 Agentic AI is different.
It doesn’t just answer.
It plans steps, chooses tools, and takes action to reach a goal.
That’s why this matters 👇
The real breakthrough isn’t what AI can say.
It’s what AI can do next without being told.
So instead of asking:
❌ “Is this the newest model?”
Start asking:
✅ “Can this AI think ahead and act on its own?”
That shift — from response to action — is where the next wave of AI is coming from.
This was originally posted here.

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