Why are you comparing LLM's to a human brain? Software should integrate software when solving problems. It's completely reasonable to expect an LLM given a "count lines" problem to just pipe the text through wc -l.
An LLM itself can't use wc. Coding agents like Claude Code or Cursor will call out to command line tools for this kind of problem when the LLM detects it.
Well, maybe not wc directly, but they have access to sandboxed Python environments. It must be trivial for an LLM to write the Python code that calculates this.
I don't understand why Gemini insists that it can count the lines itself, instead of falling back to its Python tool [1].
Most LLMs have access to such tools. Well, maybe not a Unix shell, but something similar. This is from GPT 4.5's system prompt [1]:
python
When you send a message containing Python code to python, it
will be executed in a stateful Jupyter notebook environment.
python will respond with the output of the execution or time
out after 60.0 seconds. The drive at '/mnt/data' can be used
to save and persist user files. Internet access for this
session is disabled. Do not make external web requests or API
calls as they will fail.
