General AI
Engram: Hardware sampler for local AI audio hallucinations
The Verge AIhigh confidence
Why it matters
- →Local AI audio processing eliminates privacy concerns and latency associated with cloud-based generation.
- →Hardware interfaces for latent space exploration offer new creative workflows beyond software plugins.
- →Open firmware support allows the community to modify models, extending the device's lifespan and utility.
Music startup Thoughtful Things has launched a Kickstarter campaign for Engram, a hardware sampler designed to manipulate AI-generated audio locally. The device runs an in-house, custom-trained model on open commercial datasets, operating entirely offline to avoid cloud dependencies. Founder Evan King describes the unit as a 'field recorder for latent space,' enabling users to circuit-bend tiny AI models to create glitchy, experimental sounds rather than polished songs. Pledges start at $675 for a limited run, with an expected retail price around $850-$900.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
How we got here
- 1AI Music Surprises with 'Semiramis' Dream'
The Verge AI · July 19, 2026 · Background
- 2Meta's Muse Glimmer Model Now Available
Ollama Blog · August 10, 2026 · Background
- 3Meta unveils Muse Glimmer: a 30B parameter multimodal model
Hugging Face Blog · August 10, 2026 · Background
- 4Meta Muse Glimmer enables local AI on consumer GPUs
AI News · August 10, 2026 · Background
- 5Roland Enters AI Music with Melody Flip
The Verge AI · September 4, 2026 · Background
- 6Guide to Running Local AI Models Offline
Lev Selector · September 20, 2026 · Background
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