Narrow AI vs. AGI

The AI we have today is fundamentally different from the AI of science fiction.

Narrow AI (what we have now):
- Excels at specific, well-defined tasks
- Can't transfer learning to unrelated domains
- Requires massive training for each capability
- Examples: Chess engines, image classifiers, language models

Artificial General Intelligence (AGI):
- Would match or exceed human cognitive abilities across all domains
- Could learn new tasks with minimal training
- Remains theoretical—no one has built it
- Serious researchers estimate decades away, if ever

Why this matters: Don't expect ChatGPT to do everything. Each AI tool has specific strengths and limitations.