Anyone who has saved any early prompts/responses can plainly attest to this by sending those prompts right back into the system and looking at the output. As t

Anyone who has saved any early prompts/responses can plainly attest to this by sending those prompts right back into the system and looking at the output. As to why, it's probably a combination of trying to optimize GPT4 for scale and trying to "improve" it by pre/post processing everything for safety and/or factual accuracy. Regardless of the debate as to whether it is "worse" or "better," the result is the same. The model is guaranteed to have inconsistent performance and capability over time. Because of that alone, I contend it's impossible to develop anything reliable on top of such a mess.