AI was trained on data up to a specific point in time — and it doesn't automatically know anything that happened after that. Here's why this matters in practice.
The short answer is: it depends on the tool, the plan, and your privacy settings. Here's what you actually need to know to protect yourself and your clients.
Subscriptions, API fees, and enterprise deals. Understanding the business model helps you understand why these tools exist, what's free, and what the trade-offs look like.
This is called hallucination — and it's not a bug, it's how AI works. Here's why it happens and what you can do to protect yourself when using AI for teaching.
A prompt is what you type into an AI tool. But here's why the wording matters far more than most beginners expect — and how to write one that actually works.
The honest answer is somewhere in the middle — and understanding where the line sits changes how you use AI as an educator.
Type the same question into ChatGPT, Claude, and Gemini and you'll get three different answers. That's not a glitch — it's by design. Here's why.
AI training is how the model learned everything it knows. Understanding this explains why AI is powerful, why it has a cutoff date, and why it sometimes gets things wrong.
Even AI researchers debate this. Here's the practical breakdown of what AI actually does with your words — and what that means for how you use it.
Google finds existing content. AI generates new content on the spot. Once you see that difference clearly, you'll use both tools much better.