Compare AI Models on the Same Question

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-model-families-AI-and-comparing-models-teen

1. What does 'triangulation' mean when using different AI chatbots?

   1. Training one AI using responses from another AI
   2. Asking follow-up questions until you get a consistent answer
   3. Asking the same question to 2-3 different AIs to verify the answer
   4. Using an AI to check if your own answer is correct

2. You ask ChatGPT, Claude, and Gemini to explain photosynthesis, and all three give similar explanations. What should you conclude?

   1. You should still be unsure because AIs often lie
   2. You can have higher confidence the explanation is correct
   3. The AIs are copying from each other
   4. You need to ask a fourth AI to confirm

3. Two of three AIs you ask about a historical event give different dates. What is the best next step?

   1. Go with whichever AI seems more confident
   2. Look up the fact elsewhere to resolve the disagreement
   3. Trust the AI that was released most recently
   4. Only use the first AI you asked

4. Why is asking 2-3 AIs particularly useful for school assignments that matter (like a major project grade)?

   1. It helps you catch mistakes and gives more confidence in your work
   2. It proves you used AI to your teacher
   3. It makes your assignment longer automatically
   4. It guarantees you will get an A

5. What is a key reason different AI chatbots might give different answers to the same question?

   1. They intentionally try to confuse users
   2. They randomly generate answers without any reasoning
   3. They were trained on different data and have different strengths
   4. They are all controlled by the same company

6. Which of these tasks would benefit MOST from asking multiple AIs?

   1. Sending a quick text to a friend
   2. Choosing what to eat for lunch
   3. Deciding what movie to watch tonight
   4. Finding factual information for a science report

7. You ask three AIs to write code for the same problem. What is the BEST way to choose which code to use?

   1. Pick the cleanest, most readable code that works correctly
   2. Pick whichever AI wrote it first
   3. Pick the shortest code regardless of readability
   4. Pick the longest code because it does more

8. What does the lesson say about the cost and speed of using multiple AIs?

   1. Most AIs are free and the process is fast
   2. It takes several hours to get answers from multiple AIs
   3. You need special school accounts to access multiple AIs
   4. Only paid versions can be used for comparison

9. If three AIs give you three very different opinions on whether a movie is good, what should you do?

   1. Go with whichever opinion was given most confidently
   2. Ignore all opinions and don't watch the movie
   3. Notice the differences and form your own opinion based on the variety
   4. Assume the first AI you asked is always right

10. What is a limitation of relying on just one AI for important information?

    1. Using one AI is against school rules
    2. One AI is usually more expensive than three
    3. All AIs always give the exact same answer
    4. That single AI might have blind spots or make errors

11. The lesson recommends using multiple AIs for which of the following?

    1. For important stuff like schoolwork that matters
    2. Only when you don't have a textbook available
    3. Only for creative writing projects
    4. Only for math problems

12. You ask three AIs to explain quantum entanglement. One gives a very technical answer, one gives a simple analogy, and one gives a confused response. What should you do?

    1. Only trust the confused response
    2. Assume none of them know anything about quantum physics
    3. Pick the most technical answer because it's longest
    4. Use the clearest explanation and note that quality varies

13. What is 'model comparison' in the context of AI chatbots?

    1. Choosing which AI looks best visually
    2. Rating AI chatbots on a scale of 1 to 10
    3. Comparing the prices of different AI subscriptions
    4. Asking different AI models the same question and comparing answers

14. When might it be UNNECESSARY to use multiple AIs?

    1. Whenever you want to learn something new
    2. Whenever you need to use AI for school
    3. For every single question you ever ask an AI
    4. For casual conversation or simple questions that don't matter much

15. Which statement best describes why triangulation works?

    1. Different AIs have different knowledge, so agreement suggests accuracy
    2. AIs always tell the truth when asked the same thing twice
    3. The more AIs you ask, the more correct answers you get
    4. Triangulation means asking three questions at once