[ActorNightly]

Generally, to learn anything, you need a learning framework that focuses on

* structured detail - ie how things connect to other things. For example, when you use a list comprehension in python, what is the equivalent for loop syntax?

* differentiability - i.e what happens if you do something different. For example, if you don't close a file descriptor, what happens? If you use string instead of bytes, what happens?

If you try to learn with a "how to do stuff" approach, you end up with having an internal lookup map where you can't reason through code if the knowledge is not in the map.

So for prompts, asking the LLMs those style questions goes far.