📝 Add gym analogy for LLM delegation

Artificial Intelligence Models.md

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 - Be aware of training cut-off dates when using LLMs.
 - "AIs" can be dangerous in underspecified environments (e.g: pausing games to last longer in the level) but those are the places where we will use them most. If something is well specified, there might be better solutions/optimizations (maths, code, ...).
 - [When the main purpose of writing is to demonstrate your thinking (building trust, applying for a job), don't use LLM output](https://x.com/HamelHusain/status/1976720326106173673). Use LLMs when you need to communicate info, or do admin stuff, where the person really just wants info and doesn't need to be convinced "how you think". LLMs are good at writing but bad at thinking.
+  - LLMs are helpful when you want the output/result and don't need to do the work yourself (e.g: [going to the gym](https://danielmiessler.com/blog/keep-the-robots-out-of-the-gym) doesn't work if the weights are automatically lifted).
 - LLMs as "stateless functions". Fixed weights, no updating. LLMs are in-context learners.
 
 ## Prompting