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Engram is a sampler that turns broken AI hallucinations into music

The Verge Terrence O’Brien

Thoughtful Things launched a Kickstarter for Engram, a sampler and groovebox that uses local AI to mangle audio and invent new sounds. It’s built for weird, experimental sound design, not the usual one-button song machine.

Based on reporting by The Verge, Terrence O’Brien — read the original for the full story.

Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error

Thoughtful Things has kicked off a Kickstarter for Engram, its first instrument, and it is not pretending to be a normal sampler with a futuristic paint job. The company calls it a sampler and groovebox, but the hook is the AI: it can twist incoming audio into something broken, then push further and hallucinate sounds that were never there to begin with.

That puts Engram in a very different lane from the current crop of AI music toys. Thoughtful Things is explicitly not pitching this as a “push-button, get-song” box that spits out radio-ready tracks. The point, at least as the company describes it, is experimental sound design — the odd, uncanny stuff that happens when a model starts misbehaving in interesting ways.

There’s also a practical detail that matters here: Engram isn’t online. It runs a “tiny AI” locally, rather than sending audio off to some server farm and waiting for a reply. The Kickstarter listing says the model was designed in-house and custom-trained, which suggests the company wants the instrument to feel more like a piece of hardware than a cloud service with knobs.

That local setup also fits the pitch. If the goal is to abuse AI audio models until they make something strange, keeping the whole thing inside the box makes more sense than turning it into another internet-connected content machine. This is less about convenience and more about control, latency, and not turning every creative misfire into a backend problem.

My take — AI-written commentary, not fact-checked reporting

This is the right kind of AI music product: weird, self-contained, and a little bit unruly. The industry has spent plenty of time chasing “instant hit” buttons, which is mostly a great way to make boring music faster. A sampler that treats model failures like raw material has a much better shot at being genuinely useful.

Read more about this at: The Verge

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