1. LLMs Are Really Smart Autocomplete (And That's Actually Amazing)
When you type "The horse jumped over the ___" into an AI model, it's doing something surprisingly simple: predicting the next word based on probability.
But to predict that next word accurately, the AI had to absorb essentially all of human knowledge during training. It studied every Wikipedia article, every published book, every website it could find. To know that horses jump over fences, it had to learn about animals, physics, language, context, and thousands of other subjects.
2. Know AI's Three Key Limitations
First: It's limited to training data.
Second: The data is frozen in time.
Third: LLMs sometimes hallucinate. And by "hallucinates," I mean it confidently makes things up.
The risk isn't in using AI, it's in being left behind while everyone else learns to work with it.
It's Not You vs. AI—It's You^AI
The most quoted thing about AI is: "AI won't take your job. Someone using AI will."
I think about it a bit differently.
AI will take your job… and give you one that's much better. One with less rote work, fewer mind-numbing repetitive tasks, and more help from digital assistants so you can focus on what matters most to you.
Think about it: Are you less valuable as a human because you use spell check instead of a dictionary? Because you use Google instead of memorizing encyclopedias? Because you use a calculator instead of doing long division by hand?
Of course not. You're more valuable because these tools amplify your capabilities.
I think AI isn't an existential threat, but an exponential opportunity.
It's not you versus AI. It's you to the power of AI.