The Risks
This is a member-only chapter. Log in with your Signal Over Noise membership email to continue.
Log in to readModule 2 · Section 1 of 3
You understand what LLMs are and how prompts work. That foundation matters — but it only tells half the story.
The other half is what goes wrong.
AI systems aren’t unreliable in obvious ways. They don’t crash or return error codes when they’re working incorrectly. They fail confidently, producing polished, plausible-sounding output that turns out to be wrong, outdated, or based on gaps you couldn’t see.
This module covers two failure modes that every professional using AI needs to understand: hallucination and training data limits. Neither is a reason to avoid AI. Both are reasons to use it more carefully.