Sources and data would be interesting here. Even anecdotes.
Direct censorship is another tool along with narrative shaping which highlights some content and buries other content. It’s interesting to see that the same tools that make user generated content palatable for advertisers is also suitable for mass censorship.
This further highlights the need to ditch centralized corporate platforms and move to independent platforms
I recently vibed a project just to get a sense of where things are. One interesting take away was that everything the LLM wrote was basically a proof of concept, an example, a snippet.
I think this is probably a result of scraping stack overflow and other help sites. I doubt that this will really be resolved. The leak of Claude code shows that the industry leaders best approach to code quality and consistency is to beg the model to do the right thing.