Edit: OP had actually qualified their statement to refer to only underrepresented coding languages. That's 100% true - LLM coding performance is super biased in

Edit: OP had actually qualified their statement to refer to only underrepresented coding languages. That's 100% true - LLM coding performance is super biased in favor of well-represented languages, esp. in public repos. Interesting - I actually think they perform quite well on code, considering that code has a set of correct answers (unlike most other tasks we use LLMs for on a daily basis). GitHub Copilot had a 30%+ acceptance rate (https://github.blog/news-insights/research/research-quantifying-github-copilots-impact-in-the-enterprise-with-accenture/#:~:text=In%20our%20study%2C%20developers%20accepted,code%20suggested%20by%20GitHub%20Copilot https://github.blog/news-insights/research/research-quantify...). How often does one accept the first answer that ChatGPT returns? To answer your first question: new content is still being created in an LLM-assisted way, and a lot of it can be quite good. The rate of that happening is a lot lower than that of LLM-generated spam - this is the concerning part.