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

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 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 RLHF prevents AI from using any data it scraped without permission

Which of the three habits of effective AI users is most important for working with AI in a professional context?

Keeping the judgment — AI generates options and drafts; the human remains accountable for decisions and final outputs Using AI for every task, no matter how simple, to build maximum fluency Never verifying AI output to avoid slowing down the productivity gains Delegating final decisions to AI to remove human bias from the process

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 stores the overflow in external memory and retrieves it when needed The AI stops responding and requires a new conversation to be started

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

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

What usage pattern consistently predicts high-value AI adoption?

Waiting for AI tools to mature further before integrating them into real workflows Trying every new AI tool as soon as it launches to stay current Starting with a specific, recurring real problem; using AI for first drafts with human review; building task-specific prompting habits; knowing which tasks to keep fully human Using AI to replace human involvement in all written tasks entirely