Hey all, appreciate everyone’s effort here, but we really need to address the issue with this answer thread. Incorrect info, especially from an unvetted LLM-generated response, does more harm than good – it’s wasted my time, and I’m sure others have felt the same frustration. When the answer itself gets contradicted in the follow-ups, it just adds to the confusion and makes it look like no one’s actually validated the initial advice.

@adriennn, @Rik, @nikhilkumawat, maybe consider unapproving the accepted answer? It could help other engineers avoid this same rabbit hole.

Databricks, can we work on getting better quality control here? It’s crucial for these threads to provide solid, reliable info we can actually use without having to double-check every response. Let’s keep it useful for everyone.