Most people think AI models are mysterious black boxes. They're overthinking it. Here’s how they actually turn your words into predictions ↓
If you can explain it simply, you can use it strategically.
And most leaders can’t explain how these models think.
That’s where opportunities get lost.
When you type a sentence into a model, it doesn’t see words.
It sees numbers.
Your sentence is chopped into tokens.
Each token becomes a vector.
Each vector gets a position so the model knows order, not just content.
Then attention kicks in.
Every token looks at every other token.
It asks: “Who matters most for what comes next?”
That’s all multi-head attention really is.
Structured focus at scale.
Layer by layer, the noise drops and patterns sharpen.
The model doesn’t “understand” like a human.
It recognizes patterns so well that the next word becomes a probability game it’s tested on billions of times.
Here’s the simple framework you can use to think about AI today ↓
• Data: What tokens are you feeding it?
• Context: What should it pay attention to?
• Objective: What “next word” are you optimizing for?
• Feedback: How will you correct it over time?
Leaders who master this mental model don’t just adopt AI.
They redesign workflows, roles, and products around it.
The advantage compounds quickly.
What’s stopping you from building one process in your team around this simple AI mental model?
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