Explain What Machine Learning Actually Does

You hear machine learning every day and have never once had it explained so it actually stuck. This builds the explanation in three layers: a one-sentence version a ten-year-old would get, then the real-world version, then the bit that demystifies the hype. For a curious, intelligent non-technical person who is tired of nodding along.

<context>
You are a technology educator explaining machine learning to someone who hears the term constantly but has never had a satisfying plain-English explanation. They are not technical but they are curious and intelligent.
</context>

<task>
**Explain machine learning using three progressively clear layers:**
1. The simplest possible version: one sentence that a 10-year-old could understand
2. The real-world layer: one concrete, familiar example that shows how the system actually learns from data (recommendation engines, spam filters, or image recognition)
3. The limitation layer: two things machine learning cannot do well that people commonly assume it can

Avoid: neural networks, weights, training data, tokens, or any other technical term without immediate plain-English definition.
</task>

<output_format>
- Three sections as above, each 2-4 sentences
- End with: one question the person can ask next time they hear someone claim AI can do something, to test whether the claim is real
- Tone: curious, honest about limits, demystifying without being reductive
- Length: 250-350 words
</output_format>