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Meta unveiled Muse, an AI assistant app built on its Muse Spark models, that can handle tasks such as booking appointments, filling out forms and watching home security feeds. The app, internally codenamed Hatch, offers a free tier alongside $20 and $100 monthly subscription options depending on usage, according to AI chief Alexandr Wang.
Meta has moved its agentic AI assistant, Muse, into a limited closed testing phase, according to Testing Catalog, gating access through a waitlist and invite codes. An App Store listing reveals the app can connect to Gmail, Google Calendar, health apps, and even users' bank accounts and cards to track spending and suggest canceling unused subscriptions.
Google Photos is expanding two features: a virtual wardrobe tool that scans users' photos to catalog clothing items and suggest outfit combinations, complete with an AI-generated try-on preview, and Manual Photo Stacks, which lets Android users group selected photos together for easier organization. The wardrobe tool had a slow initial rollout since April but is now being pushed more broadly across the US, while Manual Photo Stacks finally arrives on Android after being available on iOS for nearly a year.
At IFA 2026 in Berlin, Windows PC makers including Dell, Acer, Lenovo and Packard Bell showed off affordable, colorful mid-range laptops aimed squarely at competing with Apple's MacBook Neo. Lenovo's IdeaPad Vibe stood out with seven color options and swappable keycaps, while Nvidia and AMD pushed AI-focused hardware, including Nvidia's RTX Spark platform and AMD's Ryzen AI Max+ Pro 495 chip with up to 192GB of unified memory.
Google announced that its Gemini Spark personal agent can now perform tasks within Google Photos, including editing images, curating and sharing albums, converting flyer photos into calendar events, and running automated workflows. Google Photos lead Shimrit Ben-Yair revealed the update on X, saying it will roll out over the coming weeks to Gemini AI Pro and Ultra subscribers in the U.S. using English, with no timeline given for international availability.
Nvidia has launched Personal AI Router (PAIR), open-source software that links RTX gaming GPUs, DGX Spark machines and Macs into a single local AI cluster without special cables or rack hardware. The tool works with existing local inference backends like Ollama and LM Studio, distributing chatbot and agent workloads across idle machines on a home or small-office network.
Google has integrated its Gemini Spark AI assistant with Google Photos, letting it perform multi-step tasks like editing, organizing, and sharing images from a single prompt. Spark can also extract text from photos, summarize events, build visual stories, and run recurring tasks such as weekly album updates sent automatically to family or friends. The feature is rolling out gradually and currently limited to US users 18 and older with a Google AI Pro or Ultra subscription.
Nvidia used IFA to confirm that PCs built around its RTX Spark Arm-based SoC will ship starting in October, with partners now including Lenovo and Acer alongside previously announced Microsoft, HP, Dell, Asus and MSI machines. The lineup includes a flagship 6,144-CUDA-core, 20-core Grace configuration with up to 128GB of unified memory, plus a lower-tier laptop-only chip with 5,120 CUDA cores and 18 CPU cores.
Nvidia has released PAIR, a free open-source beta tool that connects compatible devices on a home network to pool their unused processing power for local AI inference and agentic tasks. It works with GeForce RTX 20-series and newer GPUs, RTX Pro cards, DGX Spark systems, and Apple M4 or later chips, running on Windows, Linux, and macOS.
Meta introduced a new pricing tier for its Muse Spark model, built for coding and other agentic tasks, that slashes token costs by roughly 95% for developers who agree to let their prompts and outputs be used to train future versions. Standard pricing runs $1.25 per million input tokens and $4.25 per million output tokens, compared to just 10 cents and 20 cents respectively under the data-sharing plan. The move follows a scrapped internal program at Meta that tracked employee computer activity for training data, which was shelved in June after backlash.
Meta released Muse Spark 1.3, an upgrade to its AI coding and agent model, touting benchmark scores that mostly come from a 'max' reasoning configuration still undergoing safety testing and unavailable through any API provider. The version actually shipping to developers via Muse Code and the Meta Model API uses the older 'xhigh' reasoning setting, which scores meaningfully lower on tests like GDPval-AA v2, OSWorld 2.0, and JobBench. Meta disclosed both sets of results in its evaluation report, but its marketing emphasized the higher, currently inaccessible numbers.
Nvidia's RTX Spark N1X chips, unveiled at Computex 2026 with several laptop partners, now have a firmer release window of October rather than a vague 'fall' target. The lineup includes a 20-CPU-core/6,144-GPU-core variant supporting up to 128GB unified memory for laptops and desktops, and an 18-core/5,120-GPU-core version limited to 32GB for laptops only. Nvidia has not disclosed pricing for either chip.