M-VAVE FM-1: The Community Rewrites the Sound

Hilowitz is audibly interested in musical characteristics rather than just long feature lists. According to him, he uses Grimm to create a sample library of spooky synth sounds. In contrast, he presents AMB-1 as a generative instrument inspired by Brian Eno’s “Music for Airports.” Notes can be activated and deactivated, scale modes selected. The appealing shift in perspective: you provide a harmonic framework for the music instead of setting every note yourself.

With Choral Flower, loosely inspired by the Orchid from Telepathic Instruments, he records a short sequence and plays it back. He remains pleasantly precise: his enthusiasm is not proof of closeness to the original.

Hilowitz describes the beginning of these transformations using Bod Girl’s work: fixing bugs in the original FM engine, adding her own synthesis engine, and overhauling the interface. Later, Falluca arrived as a free open-source firmware, whose code other developers could build upon. Thus, individual modifications became a foundation for further instruments.

The order is remarkable. According to Hilowitz, the community first unlocked the device through reverse engineering, aided by AI tools. Only afterwards did M-VAVE provide an open SDK and a modifiable firmware. An SDK bundles libraries and documentation for custom programs. The manufacturer thus supports a path that users first had to find themselves—a stronger signal than mere tolerance.

However, Blair from Blairy’s Beatlab is not just concerned with the sheer volume of new releases. In “THE SYNTH REVOLUTION WILL BE TELEVISED” from October 17, he welcomes original firmware projects but also notes increasing similarities. He is drawn to the untapped potential of standalone synthesizers and new synthesis ideas. This is the productive counter-question to the firmware boom: Are new musical possibilities emerging—or just endless variants of the same all-in-one setup?

On October 23, Blair then presents a groovebox of his own, still in its early stages. The difference lies in his intent: he doesn’t want to learn someone else’s workflow, but to implement his own. With Claude as a programming assistant, he develops four tracks, larger controls on the display, and punch-in macros. In the demonstration, he sends sounds to reverb and delay and tweaks the kick drum. Here, sound design becomes a question of which manipulations should be at your fingertips.

The demonstration is not a glossy showcase of effortless AI development. Blair hits the macro limit, struggles with bugs, and discovers a workflow he wants to change. It’s precisely this friction that makes the contribution interesting: between a quickly generated draft and an instrument that reliably responds to musical gestures, there’s work to be done.