AI uses a context window — a fixed amount of working memory it can see at once. Once you go past it, the AI starts forgetting. Here's how this works in practice.
These three terms get used interchangeably but they mean different things. Here's a clear breakdown that'll help you talk about them accurately with your students and clients.
AI improvements happen at a pace that feels almost reckless. Here's what's driving that speed and what it means for how you plan your AI-assisted teaching practice.
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.