Meta Will Open the Weights for Muse Spark 1.2, Reversing Its Proprietary Strategy
The device runs AI, apps and data on a separate encrypted system and starts at $149 with $15 in AI credits.
- On Wednesday, August 12, 2026, TrustKernel announced PlugClaw, a thumb-sized Private AI Computer designed to help people delegate real work to AI with a dedicated, hardware-secured workspace.
- Building on a decade protecting more than 1 billion devices, TrustKernel extended its consumer hardware line—which began with PlugMate—into the AI era with PlugClaw.
- Available worldwide for US$149, PlugClaw features 64 GB or 128 GB encrypted storage, PlugOS, and includes US$15 in AI credits supporting Claude, GPT, Gemini, and other models.
- Inside PlugOS, the built-in AI agent executes multi-step workflows—organizing files, replying to messages, preparing presentations—after users describe tasks in natural language.
- PlugClaw establishes a new foundation for personal AI where powerful AI and privacy coexist by design; TrustKernel founder Dr. Wenhao Li stated, "The AI that does your work should be the AI that keeps your data yours.
17 Articles
17 Articles
Meta Will Open the Weights for Muse Spark 1.2, Reversing Its Proprietary Strategy
Meta Reverses Course on Proprietary AI, Will Open the Weights for Muse Spark 1.2 Mark Zuckerberg announced on Monday that Meta will release the weights for Muse Spark 1.2, its most advanced AI model, in the coming weeks. The company also launched Muse Glimmer, a new 30-billion-parameter open-weight model released under the Apache 2.0 license. The announcement marks a direct reversal of the proprietary direction Meta adopted when it retired its L…
Financial Post
TrustKernel Launches PlugClaw, a Thumb-Sized Private AI Computer That Gets Things Done
A new category of AI hardware that combines frontier AI, app automation, and hardware-isolated privacy in a thumb-sized device SAN FRANCISCO and HONG KONG, Aug. 12, 2026 (GLOBE NEWSWIRE) — TrustKernel, a global pioneer in secure operating systems and privacy-preserving computing with over a decade of experience protecting more than 1 billion devices worldwide, today […]
Meta stopped worrying about distillation and just shipped the pipeline
Meta released Muse Glimmer on Monday, a 30-billion-parameter open-weight model distilled from Muse Spark and licensed under Apache 2.0. The question worth highlighting is what a teacher and a student model, shipped together, do for enterprise model management. Less than two weeks earlier, Sam Altman said distillation was not on his top ten list of worries. He had always assumed capable, cheap models would exist regardless. Meta answered by turni…
Meta makes open AI a central part of its competitive strategy
Meta is trying to turn the architecture of artificial intelligence into a competitive strategy. The company’s launch of Glimmer, a new open-weight model designed to run on personal computers, is more than a product release. It is also a public argument over who should control advanced AI, how widely those systems should be distributed, and whether openness can become an advantage in a market increasingly shaped by a small number of powerful deve…
Meta launches Muse Glimmer AI model that can run on consumer computers
Meta Platforms has unveiled Muse Glimmer, a 30-billion-parameter open-weight artificial intelligence model designed to perform agentic tasks on personal computers using a single consumer graphics card, as the company pushes to make advanced AI more accessible outside large data centers. Meta said the model is designed for smaller, multi-step tasks that require an AI system to make decisions, use tools and carry out actions. Its ability to run lo…
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