Why Claude Doesn't Know What Happened Last Week

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-models-knowledge-cutoff-explained-r7a8-teen

1. What is the core idea behind "Why Claude Doesn't Know What Happened Last Week"?

   1. Models have a 'knowledge cutoff' — a date after which they know nothing without web search.
   2. Eliminate cold-start latency entirely
   3. gemini
   4. Have Gemini summarize a YouTube video

2. Which term best describes a foundational idea in "Why Claude Doesn't Know What Happened Last Week"?

   1. training data
   2. knowledge cutoff
   3. stale info
   4. web search

3. A learner studying Why Claude Doesn't Know What Happened Last Week would need to understand which concept?

   1. knowledge cutoff
   2. stale info
   3. training data
   4. web search

4. Which of these is directly relevant to Why Claude Doesn't Know What Happened Last Week?

   1. knowledge cutoff
   2. training data
   3. web search
   4. stale info

5. Which of the following is a key point about Why Claude Doesn't Know What Happened Last Week?

   1. Claude Opus 4.5 cutoff: ~April 2024. Anything from after is unknown without search.
   2. GPT-5 cutoff: ~April 2025. Slightly newer, same problem.
   3. Gemini 2.5 cutoff: ~mid-2024. Same problem.
   4. Web search turns this off — Perplexity, ChatGPT 'Search', Claude 'Web Search' are all 2026-current.

6. Which of these does NOT belong in a discussion of Why Claude Doesn't Know What Happened Last Week?

   1. Gemini 2.5 cutoff: ~mid-2024. Same problem.
   2. Eliminate cold-start latency entirely
   3. GPT-5 cutoff: ~April 2025. Slightly newer, same problem.
   4. Claude Opus 4.5 cutoff: ~April 2024. Anything from after is unknown without search.

7. What is the key insight about "The rule" in the context of Why Claude Doesn't Know What Happened Last Week?

   1. Eliminate cold-start latency entirely
   2. gemini
   3. If the answer depends on the last 6 months, use search. Don't trust a model's memory for current events.
   4. Have Gemini summarize a YouTube video

8. Which statement accurately describes an aspect of Why Claude Doesn't Know What Happened Last Week?

   1. Eliminate cold-start latency entirely
   2. gemini
   3. Have Gemini summarize a YouTube video
   4. Every model was trained on data up to a specific date — its 'knowledge cutoff.' After that date, the model knows nothing on its own.

9. What does working with Why Claude Doesn't Know What Happened Last Week typically involve?

   1. Ask Claude or ChatGPT (without search) about a news story from this week. Watch what it does. Then turn on search and ask again.
   2. Eliminate cold-start latency entirely
   3. gemini
   4. Have Gemini summarize a YouTube video

10. Which best describes the scope of "Why Claude Doesn't Know What Happened Last Week"?

    1. It is unrelated to model-families workflows
    2. It focuses on Models have a 'knowledge cutoff' — a date after which they know nothing without web search.
    3. It applies only to the opposite beginner tier
    4. It was deprecated in 2024 and no longer relevant

11. Which section heading best belongs in a lesson about Why Claude Doesn't Know What Happened Last Week?

    1. Eliminate cold-start latency entirely
    2. gemini
    3. Some examples
    4. Have Gemini summarize a YouTube video

12. Which section heading best belongs in a lesson about Why Claude Doesn't Know What Happened Last Week?

    1. Eliminate cold-start latency entirely
    2. gemini
    3. Have Gemini summarize a YouTube video
    4. Try it!

13. Which of the following is a concept covered in Why Claude Doesn't Know What Happened Last Week?

    1. knowledge cutoff
    2. training data
    3. stale info
    4. web search

14. Which of the following is a concept covered in Why Claude Doesn't Know What Happened Last Week?

    1. knowledge cutoff
    2. training data
    3. stale info
    4. web search

15. Which of the following is a concept covered in Why Claude Doesn't Know What Happened Last Week?

    1. knowledge cutoff
    2. training data
    3. stale info
    4. web search