We tend to think AI music tools are just gimmicks for social media creators, or that they're limited to basic beats. But it's hard to dismiss them when companies like Google, Meta and Stability AI are pouring resources into generative audio models that can produce full compositions in seconds.
Back in 2008, Transport for London came up with a ruse to dispel antisocial behaviour: it piped classical music into supposedly problematic stations in the crime hotspots of south London. I think that was when I realised just how far the association of classical music with relaxing affect instead of real emotion had gone. Once an entire genre has become associated with relaxification, it's enough for you to hear the sound of an orchestra and think, This isn't for me.
During a demo, Henry Phipps, a Suno product manager, pointed to a song we had the model generate that included a flute-like synth with what sounded like a ping-pong delay effect on it: "I've never heard that before in previous models... what that says to me is that the model understands that this is an isolated sound that's being affected and needs to be reproduced faithfully in different parts of the stereo field."
