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

What does a 'context window' determine in an AI conversation?

The size of the screen where AI output is displayed How much text the AI can 'see' and refer to at once — including your messages, shared documents, and the AI's own replies. Text outside the window is effectively forgotten The number of different topics an AI can discuss in a single session The time window during which a conversation is saved before being deleted

What fundamentally changed about AI in late 2022 with ChatGPT's release, compared to AI that existed before?

Generative AI crossed a quality and accessibility threshold — anyone could use it for genuinely useful work, without technical expertise, for the first time The 2022 breakthrough was AI becoming conscious and able to truly understand language AI was invented in 2022 — there was no meaningful AI before ChatGPT ChatGPT was the first AI to run on computers; previous AI required specialized hardware

What is RLHF (Reinforcement Learning from Human Feedback) and why did it matter for ChatGPT?

RLHF is the process of connecting AI to the live internet for real-time information RLHF is a hardware upgrade that made ChatGPT run faster than previous models RLHF prevents AI from using any data it scraped without permission A fine-tuning technique where human raters scored model responses, training the model to produce outputs humans preferred — turning a text completer into a helpful assistant

For which type of task would AI hallucination risk be LOWEST?

Finding the specific statute number of a regulation passed in 2025 Describing a competitor's product features from their latest press release Looking up the exact revenue of a private company last quarter Brainstorming a list of marketing tagline ideas — there are no 'correct' facts to get wrong; creativity and fluency are the objective

Why is 'Artificial Intelligence' considered a misleading name by many researchers?

The name is misleading because AI is more intelligent than humans in every domain AI systems don't think or understand — they perform sophisticated pattern recognition and statistical prediction, which produces human-seeming outputs without human-like comprehension AI is misleading because the system is not artificial — it uses real human data There is no controversy about the name — it accurately describes how the systems work

After completing AI Basics, what is the recommended next course in the AI Readiness curriculum?

There is no recommended next step — AI Basics is a standalone course with no further progression AI Landscape Essentials — which builds on this foundation to cover specific AI models, their capabilities, and how to choose between them for different use cases The Vibe Coding Economy course — which is the advanced technical course and assumes significant AI experience The AI Economy course — which focuses on macroeconomic trends and is best taken after building practical AI skills

What happens when a conversation exceeds an AI's context window limit?

The AI loses access to text that falls outside the window — it effectively 'forgets' earlier parts of the conversation and may give inconsistent responses Exceeding the context window triggers an automatic upgrade to a larger model The AI stops responding and requires a new conversation to be started The AI stores the overflow in external memory and retrieves it when needed

What is the recommended approach when starting with AI tools for the first time?

Take a certification course before using any AI tool in a professional context Wait until AI tools become more mature and reliable before starting to use them Pick one tool and use it consistently on real work for 30 days, building habits through hands-on experimentation rather than reading about AI or switching between tools Try every major AI tool simultaneously to quickly determine which is best

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

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 Temperature only affects response speed, not content — lower is faster, higher is slower Temperature controls language formality: low for formal writing, high for casual writing

Which of the following is the correct relationship between AI, machine learning, and generative AI?

Generative AI is a type of machine learning, which is a type of AI — they are nested categories, not separate things AI is only about robots; machine learning is about software; generative AI is a marketing term Generative AI came before machine learning, which came before AI Machine learning and generative AI are the same thing with different names