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If you like this, I recommend the 2 main influencing artists.. Ryoji Ikeda and Brian Eno.
I like examining how, when confronted with ambiguous stimuli, machines and humans "make sense of it" very differently.
- visual: the ways that different types of film, digital cameras, and the human eye deal with low light situations
- audio: how computers can get "confused" when sounds conflict or are too low in amplitude to clearly identify, but the human ear/brain is happy to fill in the missing connections, sometimes with completely imagined sounds
Today's piece deals with only one aspect, which, to me, is at what point the computer decides it can't find the note. But I think some of my stuff lately deals with the idea that..
When presented with a problem and not enough information to clearly identify what state something is in at the moment, interesting things happen. The differences between how biological and digital systems work it out are cognitively and aesthetically intriguing (maybe even philosophically). At the very least it says a lot about the strengths and limitations of both.
somewhat related:
Misun and I are noticing a trend in YT content (at least what our respective algorithms put in front of us) of clearly anti-AI material. Longform, high quality, multiple camera views of real people doing real things in real places, like DJs livestreaming sets at coffeeshops while baristas did their thing with customers coming and going. Things like that.
If it is a real trend, that didn't take long. I was saying 6 months ago to my class that I thought that the backlash to AI will be good for live music (specifically forcing more variety in pop forms) and human crafted art in the general long run.
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