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

What does the history of AI 'winters' and breakthrough cycles tell us about the current AI era?

AI has had repeated cycles of hype and disappointment — the current era may be different in scale, but calibrated skepticism and attention to real results (not promises) remains the right posture Because we've had AI winters before, today's AI is definitely not as advanced as claimed AI winters prove that AI never delivers; the current excitement will also disappear The history of AI winters is irrelevant — current AI is categorically different from all prior AI

What made ChatGPT feel fundamentally different from previous AI products like Siri or Alexa?

ChatGPT was the first AI ever to understand English language ChatGPT was the first AI to use the internet in real time to answer questions ChatGPT was a general-purpose system — one interface could write, analyze, code, and answer questions across any domain, unlike assistants built for narrow command-response tasks ChatGPT was different because it ran on quantum computers unavailable to earlier AI

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

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

What is the transformer architecture, and why does it matter for modern AI?

A type of electrical transformer that powers AI data centers more efficiently A programming language used to build ChatGPT and similar AI products A hardware chip designed specifically for Google's AI research A 2017 research breakthrough that enabled models to track how words relate across long text — making it possible to train AI on vast amounts of text at a scale that produces today's LLMs

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

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 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

What does the Gartner Hype Cycle predict about technologies that go through a 'trough of disillusionment'?

The Hype Cycle predicts AI will be replaced by a completely different technology by 2027 Most eventually reach a 'plateau of productivity' where real, consistent value is delivered — the trough represents reality calibration, not permanent failure Technologies that enter the trough of disillusionment never recover and should be abandoned The trough of disillusionment only applies to hardware technologies, not software like AI

Which of these everyday products uses machine learning or AI?

A basic alarm clock — it does only what it's explicitly programmed to do A standard calculator — it follows fixed mathematical rules with no learning A physical thermostat with a timer — it executes pre-set rules without learning Netflix's recommendation engine — it uses machine learning to predict what content you'll enjoy based on your viewing patterns

What usage pattern consistently predicts high-value AI adoption?

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 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

Even the most capable AI models in 2026 cannot do which of the following?

Write code that executes correctly in common programming languages Produce grammatically correct text in English Summarize a long document into key bullet points Reliably verify whether their own output is factually correct — models can produce false information with the same confidence as true information

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

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