Your steps 1-8 are a great example of prompt craft. ChatGPT is like power-assisting prompt-craft. Special case tricks and tunings make casuals rate ChatGPT ass

Your steps 1-8 are a great example of prompt craft. ChatGPT is like power-assisting prompt-craft. Special case tricks and tunings make casuals rate ChatGPT assisted prompt results higher than GPT-3 alone. Some of this is discussed here: ChatGPT -- ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response. See: https://openai.com/blog/chatgpt/ https://openai.com/blog/chatgpt/ InstructGPT -- We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the default language models on our API. See: https://openai.com/blog/instruction-following/ https://openai.com/blog/instruction-following/ But, if you carefully craft prompts and prime continuations, it seems GPT-3.5 (the same new davinci models) lets you color outside ChatGPT's lines to achieve arguably even better results once you have your own crafted prompt.