AI is genuinely impressive. It is also genuinely limited. Knowing where those limits are stops you from wasting time, making mistakes based on bad output, and expecting things the technology is not capable of. This course is a practical, honest look at where AI falls short and what to do about it.
Training cutoffs, what AI does not know about recent events, and how to work around outdated knowledge.
Why AI makes maths mistakes, what hallucination really means, and when to trust AI reasoning versus verify it independently.
What AI cannot do in the world beyond the chat window, and the reality of AI agents versus the hype.
Where AI output feels generic, why it cannot replace human taste, and the elements that still need a human.