I have an example where AI was useful in learning. In Python if you compare 2 strings with the is operator you get compare by value but if you compare 2 objects you get compare by reference. This string interning can be confusing to new developers because it requires and understanding of a memory optimation. Running code helps, but AI does provide good descriptive language explaining it.

"What is String Interning?
* In programming, string interning is a technique to optimize memory usage by storing only one copy of each unique string value.
* When a string is created, the system checks if an identical string already exists in a special "pool" of interned strings.
* If the string exists, the new variable simply points to the existing string in the pool. If not, the new string is added to the pool.
Benefits of String Interning
* Memory Efficiency: Reduces memory consumption, especially when dealing with many repeated strings.
* Faster Comparisons: Comparing interned strings becomes very fast, as it only involves checking if the memory addresses are the same (a simple pointer comparison).
Example (Conceptual)
Imagine you have a program that uses the string "apple" many times. With interning:
* The first time "apple" is encountered, it's stored in the pool.
* Every subsequent time "apple" is used, the program just refers to the original "apple" in the pool, instead of creating a new copy.
Where String Interning is Used
* Compilers and Interpreters: Used to optimize string comparisons in code.
* Dynamic Languages: Languages like Python and Java use string interning to some extent.
* Applications with Repetitive Strings: Any program that deals with a lot of duplicate strings (e.g., configuration files, data processing).
Important Note: String interning is most effective when strings are immutable (cannot be changed after creation). This is because if a string in the pool were modified, it would affect all variables referencing it."