Doug Eck, lead researcher on Google Magenta, reflects on the early development of LSTM recurrent neural networks at IDSIA in Switzerland under Jürgen Schmidhuber.
Assertion Supported
Eck: Untrained listeners rated Magenta compositions as more Bach-like than Bach
“When we put these tunes out for, like, untrained listeners to listen to, they sometimes voted them as sounding more Bach-y”
Assertion Supported
Eck: As of 2017, AI cannot generate a single coherent text paragraph
“So, so everybody understands that's listening or watching, you know, we can, we can't generate a coherent paragraph, right? So, I don't mean we, magenta. I mean, kind of we, humanity.”
Disclosure
Eck: Magenta aims to build creative tools, not act as artists
“The reason that I put that quote there, I think, is to be honest with the division between engineering and research and artistry, and to not think that what I'm doing is being a machine learning artist, but we're trying to build interesting ways to make new ki…”
Insight
Eck: Users' first instinct with AI art models is breaking them
“The first thing you're gonna do, if you think, if someone comes to you and says, here's this really smart model that you can make art with, what are you gonna do? You're gonna try to show the world that it's a stupid model, right? But maybe the way that, maybe…”
Opinion
Eck: Magenta's generated AI music is not yet good enough for testing
“I, at least for Magenta, I haven't felt like the quality of what we've been generating has been good enough to bother, so to speak. Like you find it, you cherry pick, you find some good things, you're like, okay, this model trains, and it's interesting, and no…”
Insight
Eck: Audio model generation errors sound musical because of learned training variance
“I think they're interesting because the model has been forced to capture some of the important sources of variance in real music audio, and even when it Fails to reproduce all of them when it fills in with confusion, so to speak. Even that confusion is, is som…”