For code, accuracy is crucial-small errors can lead to big issues. but for content, a bit of flexibility is fine as long as the message is clear and engaging.

Depends on use case - 99.9% for medical/financial, 80-90% fine for content generation with human review.

The goal of content generation is to create enough value for people to find it interesting and start sharing across the web. LLMs are great at providing historical datasets around many topics, but not as good as creating new innovative solutions, yet. That being said, I've seen approaches where AI content is used at 100% rate, and SEO and other metrics kick in, hence that's useful on its own. It all depends what's your goal and metrics are; needles to say, AI-generated content has gotten a whole lot better than 1 year go, and it's only going to be improving, so you definitely want to be using it at some portion.