
A new development named 'Strata' allows for the execution of a massive 125-billion parameter AI model on normal personal computers without requiring enterprise-grade GPUs. This breakthrough in local inference significantly lowers the barrier to entry for running large language models privately and offline, challenging the necessity of cloud-only AI solutions.
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Hugging Face Blog · September 3, 2026 · Background
Lev Selector · September 20, 2026 · Background
© Lev SelectorThe White House has introduced a new 'Super Intelligence Accord' alongside the formation of a dedicated Super Intelligence Force.
© Lev SelectorOpenAI releases a massive collection of 722 research papers focused on mathematical reasoning and verification.
© Lev SelectorAlibaba announces its new V900 semiconductor chip, expanding domestic supply for AI training and inference workloads.
© Matt WolfeMeta has open-sourced the code and designs for its Muse AI-powered smart home gadgets.
© The AI Daily BriefMeta has open-sourced the firmware for its Muse hardware gadget, promoting transparency and community development.
© The Verge AIMeta is handing the keys to its Muse AI agent by open-sourcing the software needed to run it on custom hardware. Developers can now hook Muse into ESP32 boards or Raspberry Pi setups, effectively turning workbench scraps into personalized AI terminals. This moves Muse beyond a cloud-only interface into tangible, local devices like E Ink displays or HDMI sticks. It signals a shift toward decentralized, user-owned AI interactions rather than relying solely on proprietary apps.