Hmm... Where is the new language in this? The specs is just human language and some JSON for defining structures. It's more so that the human language becoming a programming language with the help of AI.
And over time, people will discover some basic phrases and keywords they can use to get certain results from the AI, and find out what sentence structures work best for getting a desired outcome. These will become standard practices and get passed along to other prompt engineers. And eventually they will give the standard a name, so they don’t have to explain it every time. Maybe even version schemes, so humans can collaborate amongst themselves more effectively. And then some entrepreneurs will sell you courses and boot camps on how to speak to AI effectively. And jobs will start asking for applicants to have knowledge of this skill set, with years of experience.
Until one day a new LLM gets released, GPT5, that doesn't recognize any of those special words. Mastering prompt-speak is essentially mastering undefined behaviors of C compilers.
gpt4 won't know anything about gpt5, you would have to make a sophisticated prompt for gpt4 that converts its quirks into gpt5's quirks, but if you know so much about both LLMs, why not to use gpt5 directly?
The idea is someone would first make a prompt for GPT4 that outputs GPT5 enabled prompts. You would initialize GPT4 with it, and then speak to GPT4 to compile prompts to GPT5 context which then gets fed to GPT5.
Although you may know about LLMs, you might specialize in speaking to specific models and know how to get optimal results based on their nuances.
>And over time, people will discover some basic phrases and keywords they can use to get certain results from the AI, and find out what sentence structures work best for getting a desired outcome.
This just sounds like a language that is hard to learn, undocumented, and hard to debug
