AI Basics Quiz: What Do You Actually Know About AI?

When would you want a LOWER temperature setting for an AI task vs. a HIGHER temperature?

Temperature controls language formality: low for formal writing, high for casual writing Temperature only affects response speed, not content — lower is faster, higher is slower Higher temperature always produces better quality — you should maximize it for all tasks Lower for precise tasks (data extraction, code, factual answers) where consistency matters; higher for creative tasks (brainstorming, varied options, creative writing) where variation is desirable

According to McKinsey's 2025 survey, approximately what fraction of organizations report regular AI use in at least one business function?

About 25% — AI adoption is still in early phases for most organizations About 50% — half of organizations have started; half remain uninvolved 88% — AI is now mainstream in organizations, not experimental Less than 10% — AI is still primarily used only by technology companies

Which of the following is an example of AI that predates ChatGPT and has been running invisibly for years?

A credit card fraud detection system that flags unusual transaction patterns — a classic machine learning application deployed by banks for over a decade ChatGPT Plus, which was the first commercial AI product available to consumers A basic spreadsheet formula that calculates the sum of a column A dropdown menu that shows you your most recently visited websites

What is the 'thinking partner' use case for AI?

Using AI to make decisions for you when you're uncertain what to do Using AI to stress-test plans, identify weaknesses in arguments, and explore a decision from multiple angles — not for the answer, but to sharpen your own thinking Asking AI to agree with your existing conclusion to build confidence before a presentation A specific AI product designed for therapists and mental health professionals

What is the key difference between 'narrow AI' and 'general-purpose AI'?

Narrow AI runs on phones; general-purpose AI requires large servers Narrow AI is cheaper; general-purpose AI is always more expensive per use Narrow AI is designed for one specific task (spam filtering, recommendations); general-purpose AI handles many different tasks through a single model that users direct with language Narrow AI is for small companies; general-purpose AI is only for enterprise use