Instead of saying “AI writing is slop,” we should explain how to make it better. What you may see as “AI slop” might be legitimate, but poor writing. Not everyone has an MFA.
Also, as AI writing becomes more prevalent people will start to sound more like AI. So rather than say “that sounds like AI,” we teach people how to use their own voice.
This chart matches common Big-O notations with their names and relative performance ratings. Is illustrates how an algorithm’s efficiency worsens as its computational complexity grows.
| Notation | Name | Performance |
|---|---|---|
| O(1) | Constant | Excellent |
| O(log n) | Logarithmic | Good |
| O(n) | Linear | Fair |
| O(n log n) | Linearithmic | Bad |
| O(n^2) | Quadratic | Horrible |
| O(2^n) | Exponential | Horrible |
| O(n!) | Factorial | Horrible |