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#Product updates#English text is being prepared.#Agents
#Product updates#English text is being prepared.#Agents
#Product updates#Agents#English text is being prepared.
Gemini's Personal Intelligence feature is beginning to roll out to Android Auto; once enabled, it can connect to user data in Gmail, Google Calendar, Google Photos and Google Search to provide more personalized answers. The feature is entirely opt-in in Gemini settings, and in the coming months it will also arrive on built-in Google cars that run Google's in-car system directly. Karan Daryanani, a senior Google product manager, said the feature's two core capabilities are extracting specific details from emails, photos or saved places in Google Maps, and reasoning across complex sources.
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Beam is a new Mac app that can pull a single window from another Mac onto your own desktop and use it like a local app. Its goal is to make it easy to access a Mac Mini that sits in a corner running AI agents around the clock. The app was developed by Hiten Shah and Sam Asante under the company name Noats and launched on Product Hunt on Tuesday. Both Macs must be Apple Silicon, run macOS Sonoma or later, and have Beam installed; they can discover each other over the same Wi-Fi or via Tailscale. Hosting a Mac and joining via a share link are free; using your own Mac is free for 20 minutes per day, after which it costs $12 per month, $84 per year, or a $199 lifetime license.
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DeepSeek has open-sourced DeepInfer, its in-house inference framework used to serve its models in production. Released under the Apache 2.0 license, it lets developers run DeepSeek-V4.1-Flash on their own infrastructure, with support for subsequent models planned. The framework includes optimized compute kernels and communication libraries such as FlashMLA, DeepGEMM, and DeepEP, supports speculative decoding, asynchronous scheduling, and structured output, and also open-sources the deepseek-recipe library (available in Rust and Python versions) for handling request and response transformations. On the hardware side, it supports Nvidia SM100 (Blackwell) architecture and the Huawei Ascend 950 NPU series from day one; older architectures such as Hopper are not listed. Batch-invariant inference and deterministic sampling are available only on Nvidia hardware, and the published performance data is also based on Nvidia GPUs. The current version supports offline inference but lacks complete production serving components such as KV cache management, cross-machine inference stage separation, and replica load balancing.
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ElevenLabs has released Eleven Realtime, offering two hosted voice agent models, Mini and Max, which integrate speech recognition, reasoning, turn-taking, and speech generation, but developers cannot individually select or configure the underlying models. Data from external testing organization Artificial Analysis shows that Max scored 98.8% on Big Bench Audio, while Mini scored 75.9%; for tool-calling task completion, Max reached 87.1% and Mini 60.3%, while Mini slightly outperformed Max on Full-Duplex-Bench with 95.8% versus 94.1%. The interface follows the OpenAI Realtime API protocol and WebSocket transport, but only supports WebSocket; WebRTC applications must first switch transport methods and handle the capture and playback of 24kHz PCM16 audio themselves.
#Model releases#Speech#Agents
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Cloudflare has announced a managed service for its AI business platform Cloudflare OS, with waitlist registration now open. Cloudflare OS was open-sourced in August this year and can be deployed in Cloudflare environments, on-premises, or in the cloud. It supports integration with Cloudflare Workers AI as well as AI services from Anthropic, OpenAI, Google, and others, and has the ability to securely access enterprise internal data. Two features were added this time: first, connecting to GitHub repositories, allowing AI agents to add features, debug, view PRs, create commits, and push code based on repository code; second, strengthening the Google Workspace integration, so agents can read and search Gmail conversations, draft and send emails, and connect to Google Drive, Docs, and Sheets.
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Fireworks launched Meta's open-weight model Muse Spark Open on the day of release. It is an 816B-parameter MoE model that activates 42B parameters per token, with a 1M-token context window, targeting long-horizon coding and agentic tasks. Fireworks says it ranks first among 75 models on Vals AI's Harvey Legal Agent Benchmark leaderboard with 25.4%, nearly 4 times that of Claude Opus 5 (6.7%); on the Rogo Big Finance Bench it surpasses Claude Opus 5.5 at every difficulty level. On Fireworks, the model has zero data retention enabled by default, uses only US-based compute at no extra charge, and supports fine-tuning with serverless LoRA.
#Product updates#Model releases#Open-source ecosystem
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NVIDIA has released Cosmos3-H-Dreams, specialized from the 16-billion-parameter Cosmos3-H-Embodied-Nano for action-conditioned video generation of cholecystectomy. The model is trained with 28 action dimensions, 832 x 480 video, and 10 Hz action alignment, and distillation yields two student checkpoints, four-step and two-step; the two-step version is trained separately, offering faster inference but lower image quality. NVIDIA also provides the FlashDreams streaming runtime and methods for adapting to custom data and controllers, and states that the model is a research simulator, not a validated clinical system.
#Model releases#Video#Open-source ecosystem
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