Firstly LLMs need to have more training on speaking to several different people.

Humans have a lot of training on interacting with many different individuals and LLMs feel extremely one thread chat heavy. Like if you read the entire thread the LLM langauge is usually consistent but if you send someone a partial artifact it feels disconnected in a broken way.

This includes their code changes and doc changes which inheret this lack of audience.

For the more general idea of keeping good artifacts for themselves I think an interesting idea would be to look into context language models instead of autoregressive ones.

https://arxiv.org/abs/2609.37725

Context language models need to manage their own context to complete a task. (They see their own context as a file).

This naturally forces this innate ability of managing relevance.