If by "some skill" you mean the basic ability to type vaguely coherent English, than I agree. If anything the recent generative art advancements coming out (Fi

If by "some skill" you mean the basic ability to type vaguely coherent English, than I agree. If anything the recent generative art advancements coming out (Firefly, MJ v5) would seem to refute your point. There was a time when diffusion models require some level of knowledge and skill to use. To get high quality output, it was in your best interest to learn about the different types of samplers, upscalers, hyper networks, textual inversions, understanding denoising etc. etc. Now? I'd say the millions of active users on MJ would seem to prove you wrong. As far as language models like GPT, we've already seen the average level of skill needed come down with each successive release, ChatGPT is easier to use than GPT-3 which is easier to use than GPT-2. Furthermore, devs in the space (Stability, OpenAI, etc) could refine/train pre-processing LLM models that transform more accessible amateur prompts to more professional prompts at real-time.