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#meta
Stories connected through a shared idea, actor, technology or theme.
Google and Meta open-source native PyTorch support for TPUsTorchTPU lets existing PyTorch workloads run on Google TPUs with minimal code changes and supports training, serving and deployment tools including vLLM and SGLang. The release is intended to make TPUs a more practical alternative to GPU-centric AI software stacks.→Meta pauses Muse conversation sharing after passive-DNS exposureClaroc reported more than 6,800 Muse share hostnames and accessed examples containing sensitive personal and business information. The exposure resulted from conversation titles appearing in share hostnames that passive-DNS services recorded.→Meta releases 816-billion-parameter open-weight Muse Spark OpenThe natively multimodal mixture-of-experts model has 816 billion total parameters, 42 billion active parameters and a one-million-token context window. Meta positions it for coding, long-horizon agentic work and multimodal reasoning, with weights available through major model hubs and inference providers.→Meta releases Muse Wonder frontier modelsMeta says the models deliver state-of-the-art performance on personal and professional agentic tasks, including coding, finance and document-heavy work. Muse Wonder is available through Meta’s Model API and Muse Code, while Muse Wonder Full is available to Muse Code subscribers.→Meta creates an enterprise AI platform around Muse and Meta Business AgentMeta Enterprise Platform will initially package Muse, Meta Business Agent, Muse API and Muse Code for business use. Meta appointed former MongoDB CEO Chirantan Desai to lead the platform.→Firmus and Meta expand AI-factory agreements across Southeast AsiaThe agreements cover compute for Meta’s AI research, model development and training using NVIDIA’s DSX platform. They extend an existing relationship in Australia, where Meta is already using GB300 NVL72 systems at Firmus’s Melbourne facility.→Meta extends Muse into small-business operationsThe service lets small businesses connect tools including QuickBooks, Shopify, Slack, Canva, Dropbox, Figma and Zoom, then ask Muse to analyse operations or prepare campaigns. Meta says users retain approval control over anything that publishes, sends or spends.→Meta rules out a day-one Watermelon launch at ConnectThe statement narrows expectations for Meta Connect without providing a release date, pricing, distribution plan or independent performance evidence. Meta continues to position Watermelon as a major future model after the Muse Spark line.→Meta launches Muse, a consumer agent that can act across appsMuse runs in a dedicated Secure VM and can continue working after the user closes the app, while a separate Sentinel system controls internet access and sensitive actions. Meta says the agent is available through its own app and WhatsApp, with approval steps for actions such as sending emails and making purchases.→WhatsApp tests native support for third-party AI agentsThe beta feature reportedly supports up to five agents per account and uses an API key to connect each agent to a dedicated conversation. The chats are not currently end-to-end encrypted, and access is limited to selected Android users.→Meta releases Muse Spark 1.3 for coding and agentic workflowsMeta made Muse Spark 1.3 available in Muse Code and the Meta Model API, describing improvements in long-horizon work, multitasking, constraint following and confirmation before consequential actions. Meta engineers reported approximately 20% fewer tool calls and 25% fewer tokens than Muse Spark 1.2 in coding comparisons, alongside stronger prompt-injection resistance.→Meta’s Muse Image becomes available through falFal announced that Muse Image is available through Meta’s Model API on its developer and enterprise platform. Fal describes the model as agentic, with planning, tool use and self-correction capabilities, and says it ranks among the top five systems on its cited image-generation arena.→