[cpard]

* Large language models amplify inconsistent technology and quietly reinforce consistent ones. *

This is another way of saying that the tools you equip the LLM affect their effectiveness, in other words, the harness you build around them matters and matters a lot.

At the end of the day, the language you pick, enriches the harness with the toolchain, libraries etc. it offers. This is most evident with the toolchain as the author mentioned but if you think about it, picking a specific framework that constraints the choices the model can make (e.g. the Ruby on Rails example) is also affecting the behavior it has.