💻 AI & Emerging Tech Trivia Questions & Answers
Machine learning, robotics and the technologies shaping what's next. Below are 30 free ai & emerging tech trivia questions with answers — part of Tech trivia on BUZZ. Want a real challenge that adapts to what you know? Play the Tech quiz — no signup needed to start.
30 AI & Emerging Tech trivia questions
Q1. In 2002, this squat disc became the first robot vacuum to really catch on, priced under $200.
Answer: Roomba
💡 iRobot's original Roomba launched at $199.95 in September 2002 and sold a million units a year within three years.
Q2. OpenAI's 2021 image-generating AI DALL-E mashed up Salvador Dalí's name with which animated robot?
Answer: WALL-E
💡 Its most-shared demo image showed a baby daikon radish wearing a tutu while walking a dog.
Q3. In January 2023, ChatGPT had reached roughly how many monthly users just two months after its debut?
Answer: 100 million
💡 UBS analysts said it was the fastest ramp they had seen in twenty years of tracking consumer internet apps.
Q4. What is 'machine learning'?
Answer: AI where systems learn patterns from data, not coded rules
💡 Arthur Samuel coined 'machine learning' in 1959 at IBM. The recent revolution is driven by deep learning — neural networks with many layers needing vast data and GPU compute.
Q5. What is 'cloud computing'?
Answer: Delivering computing services (servers, storage, databases, networking) over the internet on demand
💡 Amazon Web Services (AWS) launched in 2006 and popularized cloud computing. AWS, Microsoft Azure, and Google Cloud now run a huge fraction of the internet. Netflix, Airbnb, and most startups run on the cloud.
Q6. What is 'artificial intelligence' (AI)?
Answer: Computer systems that simulate human learning and reasoning
💡 The term 'artificial intelligence' was coined by John McCarthy at the 1956 Dartmouth Conference, widely considered the birth of AI as a field. McCarthy also invented the Lisp programming language.
Q7. What is 'blockchain' technology?
Answer: A shared, append-only ledger maintained across many computers
💡 Blockchain links transactions in cryptographic chains. Bitcoin, using blockchain, was introduced in 2008 by the pseudonymous Satoshi Nakamoto, whose identity remains unknown. It removed the need for central authorities like banks.
Q8. What is 'the cloud' in everyday language?
Answer: Remote internet servers that store and process your data
💡 The 'cloud' metaphor came from network diagrams where the internet was drawn as a cloud shape. iCloud, Google Drive, Dropbox, and OneDrive are consumer cloud services. Amazon S3 stores trillions of objects.
Q9. What is a 'neural network' in AI?
Answer: Layers of connected nodes that learn patterns from data
💡 Inspired by the brain, deep learning uses neural networks with many layers ('deep'). The 2012 AlexNet win on ImageNet triggered the current AI boom. Networks are trained using backpropagation.
Q10. What is 'GPT' in the context of AI language models?
Answer: Generative Pre-trained Transformer — a large language model for text generation
💡 OpenAI released GPT-3 in 2020 with 175 billion parameters. ChatGPT (GPT-3.5/GPT-4) launched in November 2022 and reached 1 million users in 5 days — the fastest product adoption in history at that time.
Q11. What is 'NFT' (Non-Fungible Token)?
Answer: A unique digital asset whose ownership is recorded on a blockchain — cannot be replicated or substituted
💡 The NFT craze peaked in 2021 — Beeple's 'Everydays' sold for $69 million at Christie's. The market collapsed ~95% in 2022. Critics noted that owning an NFT doesn't prevent copying the underlying digital file.
Q12. What is 'the metaverse'?
Answer: A network of persistent virtual worlds for social interaction
💡 The term was coined by Neal Stephenson in his 1992 novel Snow Crash. Mark Zuckerberg rebranded Facebook to Meta in 2021 to build the metaverse, spending over $40 billion with limited uptake.
Q13. What is 'big data'?
Answer: Extremely large data sets needing specialized tools to analyze
💡 Big data is often described by the 3 Vs: Volume, Velocity, and Variety. Hadoop and Spark are common frameworks used to store and process it at scale.
Q14. What does 'SaaS' stand for in software?
Answer: Software as a Service
💡 SaaS is software delivered over the internet via subscription rather than installed locally. Examples include Salesforce, Slack, Zoom, and Office 365; Salesforce pioneered B2B SaaS in 1999.
Q15. What is 'quantum computing'?
Answer: Computing that exploits quantum phenomena like superposition
💡 Qubits can be 0, 1, or both at once (superposition). Google claimed 'quantum supremacy' in 2019, solving in 200 seconds a task it said would take classical computers 10,000 years.
Q16. What is 'the Internet of Things' (IoT)?
Answer: Everyday physical devices connected to the internet
💡 There are over 15 billion IoT devices globally — more than double the human population. Examples include smart thermostats, connected fridges, and medical sensors.
Q17. What is 'deep fake' technology?
Answer: AI-generated synthetic video or audio of real people
💡 Deepfakes are built on GANs (Generative Adversarial Networks). The term originated on Reddit in 2017 and raises serious misinformation concerns.
Q18. Which 1920s Czech play introduced the word 'robot,' borrowed from a term meaning forced labor?
Answer: R.U.R. (Rossum's Universal Robots)
💡 Playwright Karel Capek credited the word to his brother Josef, who suggested 'roboti' from the Czech 'robota,' meaning drudgery.
Q19. In 1997, this IBM chess computer became the first to beat a sitting world champion in tournament play.
Answer: Deep Blue
💡 Deep Blue evaluated up to 200 million chess positions per second to beat Garry Kasparov in their 1997 rematch.
Q20. Which 2011 IBM system beat two Jeopardy champions, once misfiring on a Final Jeopardy clue?
Answer: Watson
💡 Watson guessed 'Toronto' for a US-cities clue, but still crushed champs Ken Jennings and Brad Rutter with $77,147 in winnings.
Q21. Which robotics company, spun out of MIT in 1992, is famous for building the four-legged robot Spot?
Answer: Boston Dynamics
💡 Spot went commercial in 2019 after years as a defense-funded research project, and the company itself is now owned by Hyundai.
Q22. To test 2021 DALL-E's grasp of novel ideas, OpenAI had it draw a chair shaped like which fruit?
Answer: An avocado
💡 DALL-E researcher Aditya Ramesh said the real surprise was the model blending two unrelated concepts into one functional object.
Q23. In 1956, a summer workshop at which university founded AI as a field and coined its name?
Answer: Dartmouth
💡 John McCarthy coined the phrase 'artificial intelligence' in the 1955 funding proposal for the workshop, held the following summer.
Q24. This 1966 MIT program played a therapist, fooling users into thinking it understood them.
Answer: ELIZA
💡 Creator Joseph Weizenbaum was unsettled that users formed real emotional attachments to a program that just matched patterns in their words.
Q25. In the 1980s, businesses bought AI programs mimicking specialists via 'if-then' rules — name them.
Answer: Expert systems
💡 One expert system, XCON, configured computer orders for Digital Equipment Corporation and reportedly saved the company millions a year.
Q26. Apple's Siri debuted alongside which iPhone model in 2011, becoming most people's first voice AI?
Answer: iPhone 4S
💡 Siri began life as a separate app built by Stanford Research Institute spinout engineers before Apple acquired it in 2010.
Q27. This branch of machine learning trains an AI 'agent' via trial and error, using rewards and penalties.
Answer: Reinforcement learning
💡 Reinforcement learning is how systems like AlphaGo learned to play games at a superhuman level, through millions of trial-and-error matches.
Q28. When a chatbot confidently states a fact that's completely made up, developers call this an AI what?
Answer: Hallucination
💡 An AI hallucination reads as fluent and confident, which is exactly why it's so easy for a user to mistake it for a real fact.
Q29. This term describes the maximum stretch of text, in tokens, that a language model can 'see' at once.
Answer: Context window
💡 A context window includes everything crammed into one exchange with the model — instructions, your question, and prior conversation.
Q30. Which move number became legendary after AlphaGo played a stone no human would choose, in 2016?
Answer: Move 37
💡 AlphaGo's own policy network had rated that exact stone at roughly one-in-10,000 odds of any human ever choosing it.
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