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Understand what 'reasoning models' do differently and when to use them.
Reasoning models like OpenAI's o-series and DeepSeek's R1 'think' before answering — they generate hidden reasoning, then the answer. They're slower but way better at math, code, and logic.
Take a hard logic puzzle. Try it with a regular model and a reasoning model. Time both. Note the quality difference vs the time difference.
Try this with a school, hobby, or family example where the stakes are low. Use the AI output as a draft you can question, not as the final answer.
8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-model-families-AI-and-reasoning-models-teen
What is the main idea of "AI model families: reasoning models (o1, o3, R1)"?
Which concept is most central to "AI model families: reasoning models (o1, o3, R1)"?
Which use of AI fits this topic best?
What should a careful learner remember about "The rule"?
You want to use AI after this lesson. What is the safest next step?
How should AI output about reasoning be treated?
Name one way to verify an AI answer about reasoning.
Which action would help you apply "AI model families: reasoning models (o1, o3, R1)" responsibly?