For now. The quality of competitors has been improving considerably when we look at our own in-house analysis for various use cases we have. It looks like GPT4

For now. The quality of competitors has been improving considerably when we look at our own in-house analysis for various use cases we have. It looks like GPT4 has approached an asymptote in quality (at least within a compute time window where they remain even marginally cost effective). Others are just catching up to that goalpost. Even GPT4 suffers from the same problems intrinsic to all LLMs-- in real world use, hallucinations become a problem, they have a very difficult time with temporal relevance (i.e identifying when something is out of date), and they are horrifically bad at any kind of qualitative judgement.