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AI · Theory

What is AI?

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Theory

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What is AI?

AI is a program that does a job people used to call “thinking”: sort spam, read a number plate, suggest the next song. It is not magic and it is not a person. You give it data and a goal. It learns a pattern or follows rules, then acts. A fresher should say that in one breath before any buzzword.

Narrow AI does one job well — Gmail spam, Google Maps traffic, a hospital scan helper. General AI that can do any human job does not exist in products today. Don’t say “AI is like a brain” and stop. Say: machine + data + goal + feedback.

Board: mails = ["win lottery", "lab at 4"]. A tiny filter flags lottery as spam. That is AI at freshman size: a rule or a model, not a robot with feelings. Companies hire people who can explain this without hype.

What is AI? — output: win lottery now → spam / lab meeting at 4 → ok / free prize click → spam. A rule on text — not a person.

Diagram
data + goal
       │
       ▼
     model / rules
       │
       ▼
    action  (spam / route / caption)
Exam tip

One sentence + one real product + narrow vs general.

Example

# Narrow AI: a tiny spam rule
mails = ["win lottery now", "lab meeting at 4", "free prize click"]
for m in mails:
    spam = "lottery" in m or "prize" in m
    print(m, "→", "spam" if spam else "ok")

What is AI? — output: win lottery now → spam / lab meeting at 4 → ok / free prize click → spam. A rule on text — not a person.

Short notes

  • DefMachine does a thinking-like job from data + a goal.
  • RuleToday’s products are narrow AI, one task.
  • TrapCalling ChatGPT “a person” or “AGI”.

Questions

1

What is AI?

2

Narrow vs general AI?

3

Give one real example.

NextApplications of AI →
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