Comment by simonw
14 hours ago
The skill that's worth learning is how to investigate, experiment and think about these kinds of tools.
A "Stable Diffusion" class might be a waste of time, but a "Generative art" class where students are challenged to explore what's available, share their own experiments and discuss under what circumstances these tools could be useful, harmful, productive, misleading etc feels like it would be very relevant to me, no matter where the technology goes next.
Very true regarding the subjects of a hypothetical AI art class.
What's also important is the teaching of how commercial art or art in general is conceptualized, in other words:
What is important and why? Design thinking. I know that phrase might sound dated but that's the work what humans should fear being replaced on / foster their skills.
That's also the line that at first seems to be blurred when using generative text-to-image AI, or LLMs in general.
The seemingly magical connection between prompt and result appears to human users like the work of a creative entity distilling and developing an idea.
That's the most important aspect of all creative work.
If you read my reply, thanks Simon, your blog's an amazing companion in the boom of generative AI. Was a regular reader in 2022/2023, should revisit! I think you guided me through my first local LLama setup.