Replying to a post on social.treehouse.systems
i suspect a user who spent more time crafting their prompt could add context that produces a result with more depth
but that kinda defeats the marketed purpose of image diffusion: low effort visual elements to fill spaces where visual elements are expected
Replying to @ariadne@social.treehouse.systems
it is the same way with these AI music models like suno
even if you apply a low-pass filter to delete the weird harmonics those models produce, the songs themselves are basically soul-less marketing jingles because there is no real story and no emotional tension
Replying to @ariadne@social.treehouse.systems
the underlying point being that largely these things could likely be overcome with better prompting, but the people who would know *what* to prompt are more likely to just go make the thing themselves
Replying to @ariadne@social.treehouse.systems
and this is the thing about language as the only mechanism of I/O to these generative AI services, frequently it is easier to just do a thing rather than describe the thing that should be done
there is a whole rabbit hole that we could go down about whether or not people actually think in terms of language (the tl;dr answer is that it is context-dependent, and the cognitive mode usually stays in sync with the active task), but that leads to other rabbit holes like "what even is cognition?" and "how do multiple streams of cognition collapse into observed first-person consciousness?"
Replying to @ariadne@social.treehouse.systems
the tl;dr answer to those rabbit holes are "we're not really sure, but we've mapped a lot of foundational neural networks"
Replying to @ariadne@social.treehouse.systems
this makes stuff like #strudel really interesting by the way because using strudel is a cross-domain task: you're writing code that generates music
so, when using strudel, are you thinking in terms of music? or in terms of language (specifically javascript)?
