Open-Source vs Closed AI: What Llama, Mistral, and DeepSeek Actually Mean

End-of-lesson check

8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-foundations-ai-open-source-vs-closed-r10a10-teen

1. What is the main idea of "Open-Source vs Closed AI: What Llama, Mistral, and DeepSeek Actually Mean"?

   1. Closed = OpenAI/Anthropic/Google. Open = Meta/Mistral/DeepSeek. The split shaping 2026 — and your future.
   2. Use AI as the final authority for the whole decision
   3. Avoid checking the answer once it sounds polished
   4. Focus only on speed instead of judgment

2. Which concept is most central to "Open-Source vs Closed AI: What Llama, Mistral, and DeepSeek Actually Mean"?

   1. Llama
   2. open-source AI
   3. Mistral
   4. model weights

3. Which use of AI fits this topic best?

   1. Let the AI decide what matters without your review
   2. Use the answer before checking whether it fits the situation
   3. DeepSeek-V3 (Jan 2025) cost ~$5M to train and matched GPT-4o — vs OpenAI's reported $100M+ on GPT-4 — wiped $1T off Nvidia briefly.
   4. Use the first answer without checking it

4. What should a careful learner remember about "The rule"?

   1. Use AI to draft or organize ideas about open-source AI, then verify before acting.
   2. Skip the context so the tool can guess faster
   3. Treat the output as private even after sharing it online
   4. Use the answer without checking the source

5. You want to use AI after this lesson. What is the safest next step?

   1. Act immediately because the AI answer is written clearly
   2. Use the AI answer as a draft, then check it against a reliable source.
   3. Hide uncertainty so the final answer looks cleaner
   4. Use private or sensitive details before checking permission

6. How should AI output about open-source AI be treated?

   1. As proof that no other source is needed
   2. As a replacement for context, consent, or expert review
   3. As a draft or helper output that still needs human judgment and verification
   4. As something that becomes correct when it sounds confident

7. Name one way to verify an AI answer about open-source AI.

8. Which action would help you apply "Open-Source vs Closed AI: What Llama, Mistral, and DeepSeek Actually Mean" responsibly?

   1. Use the tool to avoid thinking through the tradeoff
   2. Keep going even if the output conflicts with a trusted source
   3. Use the first answer without checking it
   4. Run Llama 3 8B free on your Mac with LM Studio or Ollama — no internet, no logging, no quota; quality is around GPT-3.5.