Meta open sources code to let you make Muse AI gadgets

There's a certain irony in Meta — a company that has spent billions on closed data centers and proprietary AI models — handing over the keys to its consumer-facing agent. But open sourcing Muse's gadget code is less an act of altruism than a strategic hedge. Meta knows that the home AI assistant market is a war of attrition, and it can't manufacture its way to ubiquity. By turning the Maker community into an unpaid R&D and distribution arm, Meta gets something more valuable than hardware sales: presence. Every DIY Muse gadget in a living room or workshop is a node in Meta's ambient AI network, normalizing the idea that an agent should be woven into the physical environment. The move also reveals a philosophical divergence from Apple and Google, who treat their assistants as extensions of tightly controlled device ecosystems. Meta is betting that the future of AI agents is not a single device you buy, but a distributed layer that can be embedded into anything. The E Ink reminder display and HDMI dongle projects are deliberately low-stakes, but they're a proof of concept: if the community can scaffold Muse into everyday objects, Meta avoids the brutal hardware margins and product cycles that have sunk countless assistant devices. What's genuinely interesting here is the implicit admission that Meta can't predict the killer use cases for a home AI agent. By open sourcing the code, Meta is effectively running a massive, distributed experiment where the world's tinkerers define the form factor. That's a smart way to gather telemetry on what people actually want from an ambient agent — whether it's a kitchen dashboard, a bedside companion, or a wall-mounted reminder system. The risk, of course, is fragmentation and security: every DIY gadget is a potential attack surface, and Meta's reputation for handling user data will face fresh scrutiny as the community builds on its code. Still, this is the most tangible step any major AI company has taken toward treating agents as infrastructure rather than products. Whether it works depends on how much the community embraces Muse — and whether Meta can resist the urge to lock down the platform once it gains traction. For now, the open sourcing of Muse is a signal that Meta understands the hardware bottleneck in AI adoption, and it's willing to let others build the bridge. Source: https://www.theverge.com/tech/1004330/meta-muse-ai-gadgets-home-link