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#Multimodal
  1. vLLM Blog60

    vLLM supports Thinking Machines' Inkling 2 Small on its first day of release

    vLLM provides support for Inkling 2 Small on its first day of release. The model is a multimodal MoE with text and visual inputs, featuring a total of 594B parameters, 17B activation parameters, a maximum context length of 1M tokens, and comes with a built-in DSpark beam decoder.

    Why it matters: The original text provides details of vLLM's Day-0 support for Inkling 2 Small and multiple kernel optimizations, allowing readers to understand the deployment path and throughput performance of the model.

  2. Google DeepMind87

    Google DeepMind releases Gemini 4 Hydrogen model

    Google DeepMind releases Gemini 4 Hydrogen, targeting daily coding and intelligent agent workflows, with an Artificial Analysis intelligence index of 51 at the default high thinking level, higher than Argon's 50, and reaching 54 at the xhigh level

    Same story · 3 outlets

    Why it matters: Google provides the division of labor and positioning of Hydrogen, Carbon, and Argon, as well as the actual differences in cost and speed between multi-model arrangements.

  1. Google AI Blog78

    Google launches Gemini Decisions API and Gemini Decision 1 model

    Same story · 7 outlets

    Why it matters: The original text provides forward scoring, latency, and pricing data, allowing readers to judge its suitability for which low-latency decision-making scenarios.

  1. One Useful Thing78

    Ethan Mollick practically tests Claude Fable 5.2: Close but not complete AGI

    Ethan Mollick, after trying out Claude Fable 5.2 before its public release, believes that according to the definition of 'achieving the level of most human experts on most available computer-completed intellectual tasks,' it is close to AGI but still has a gap.

    Why it matters: The author uses six cross-domain practical cases to illustrate that the model's ability has approached general intelligence, but lacks the ability to judge whether works are good or bad.

  2. Claude · YouTube75

    Anthropic released Claude Fable 5.2

    Anthropic releases Claude Fable 5.2, designed for the most challenging technical challenges, with improvements in coding, reasoning, and vision, suitable for the most ambitious open-ended technical work. The official recommendation is to use Opus 5.5 for most coding and knowledge tasks, and Fable 5.2 is now available in the Pro, Max, Team, and Enterprise packages.

    Same story · 3 outlets

    How the accounts differ:TechCrunch states the input price of Fable is reduced to $8 per million tokens; others do not mention the price.

    Why it matters: The official statement explains the positioning and applicable scenarios of Fable 5.2, and provides a choice suggestion between Opus 5.5, making it easier to decide which model to use.

  4. TechCrunch · AI72

    Meta releases lightweight model Muse Ember, highlighting agent execution and low cost.

    Meta Superintelligence Lab releases lightweight model Muse Ember, priced at 10 cents per million tokens, focusing on high-frequency agent tasks such as tool calling, coding subtasks, routing, extraction, and long document parsing.

    Why it matters: Meta uses a pricing of 10 cents per million input tokens and the Artificial Analysis comprehensive benchmark to place the lightweight model in the agent execution context, comparing it with Haiku and Luna.

  1. QbitAI82

    Tencent Hunyuan Hy4 released: 770B total parameters, 49B activation parameters, first supports native vision and computer operation

    Tencent Mixuan Hy4 is officially released, with a total of 770B parameters and 49B activation parameters. It introduces native visual capabilities and computer operation support for the first time, while also upgrading command compliance, long text understanding, and long-range Agent capabilities. The model has been launched on products such as Tencent Cloud TokenHub, WorkBuddy/CodeBuddy, and Yuanbao. API access has been provided to platforms like OpenRouter, Hermes, and OpenCode, with weights to be open-sourced in the near future.

    Why it matters: The author uses multiple long-range tasks to test the autonomous execution and self-check capabilities of the open-source model 'Hunyuan Hy4', thereby judging the actual level of open-source models in Agent delivery.

  1. ITHome · AI72

    Meta launches real-time voice chat and virtual avatar features for AI assistant Muse

    Meta announces the launch of real-time voice chat and virtual avatar features for its personal AI assistant Muse, rolling out first to users in the United States, covering mobile, web, and Mac apps. The feature is supported by two models, Muse Realtime Voice and Muse Realtime Avatar, capable of streaming vertical videos at a resolution of 448×768 and 25 frames per second. The delay from the user finishing speaking to receiving the first audiovisual response is approximately 870 milliseconds.

    Why it matters: The original text provides the latency, resolution, and interaction methods for real-time voice and virtual avatars, allowing readers to judge the maturity of such face-to-face intelligent agent interactions.

  2. The Decoder73

    Thinking Machines has released the Inkling 2 Small, claiming it is the strongest Western open-source weight model.

    Thinking Machines releases second-generation model Inkling 2 Small, using MoE architecture, with total parameters of 594B and activation parameters of 17B, supporting text and image input and adjustable thinking depth.

    Same story · 2 outlets

    Why it matters: The original text provides specific comparisons of the new model in terms of intelligence index, agent tasks, and cost, allowing readers to judge the competitive position of open-source weight models accordingly.

  3. ITHome · AI78

    Ant Group's Baidu Ling-3.2-flash releases a native multimodal model, with three benchmarks surpassing Claude Opus 5

    Ant Media official team releases native multimodal model Ling-3.2-flash, with a total of 560B parameters, 25B activation parameters, and 1M context window, supporting image, text, and video input.

    Why it matters: The original provides three benchmark comparisons and API pricing, allowing readers to judge the capability position and call cost of this multimodal model.

  4. Hugging Face Blog71

    NVIDIA has released four open-source world model checkpoints for Cosmos 3.

    NVIDIA has added four new open-source weight checkpoints for Cosmos 3 under the Cosmos World Model platform, all of which are post-trained versions of Cosmos 3 Nano, containing 16B trainable parameters, using the OpenMDW1.1 license, allowing commercial and non-commercial use.

    Why it matters: The original text provides four open-source weight checkpoints and a four-stage training recipe, allowing readers to judge how to adapt the world model to their own sensors and robot bodies.

  5. Google DeepMind78

    Google DeepMind has released Gemini Omni 1.2 Flash, supporting 15-second videos and reducing the price by 30%.

    Google DeepMind has released Gemini Omni 1.2 Flash, increasing the native video generation duration from 10 seconds in Omni 1.1 to 15 seconds, and it has been fully opened in the Gemini API and Gemini for business.

    Same story · 3 outlets

    Why it matters: The original text lists specific changes in duration, price, and reference consistency, allowing readers to judge how the cost and workflow of video generation will change.

  6. The Decoder70

    Tencent has released the Hy4 model, which first supports image understanding and computer operation.

    Tencent has released the Hy4 model, which is capable of image understanding for the first time and can operate software such as Blender, CAD autonomously, the weight will be opened on an undetermined date later, it is currently only provided through applications such as Tencent Cloud, OpenRouter, and Yuanbao.

    Why it matters: Tencent Hy4 has joined image understanding and computer operation capabilities for the first time, there is a gap between third-party reviews and official statements, you can compare to see the real position of the open weight model.

  7. ITHome · AI70

    Google's AI-PPG-ACC-HTN study published in Nature: Using consumer-grade smartwatches to detect hypertension without a cuff

    Google has released a multimodal AI system, AI-PPG-ACC-HTN, which does not require wristband calibration and passively detects persistent hypertension using a standard consumer-grade smartwatch. The results were published in Nature. The study included 196 participants across 5 clinical centers, using 24-hour ambulatory blood pressure monitoring as a reference. Initial screening showed a specificity of 90.0%, a positive predictive value of 80.6%, and a sensitivity of 65.8%. Diagnostic testing showed a positive predictive value of 96.7%, a specificity of 90.9%, and a sensitivity of 78.4%.

    Why it matters: The original provides sensitivity and specificity data for multicenter clinical trials, which can be compared with outpatient single initial screening and home wrist cuff monitoring.

  1. 36Kr · AI72

    After the decision model became popular, why does the physical world need fast on-device judgment?

    TypeSafeAI released decision model Jev in mid-September, which only outputs yes/no, scores, or probabilities, and within weeks of launch, user numbers broke a million, with about one-third of Fortune 500 companies starting to use it, and its valuation increased from about $200 million to $7.5 billion in 24 days.

    Why it matters: From the explosion in popularity of decision models to on-device judgment in the physical world, it shows an industrial change in AI capabilities shifting from generation to measurable decision-making.

  2. Hugging Face Blog60

    IBM trains 20B small model Palette to generate slides according to its own design language

    IBM's research team fine-tunes a 20B open-source weight model, Palette, using a two-role LoRA scheme where designers write JSON briefs and encoders generate pptxgenjs code page by page to create presentations according to IBM Design Language.

    Why it matters: IBM uses synthetic data and checks to repair closed-loop training for a 20B small model to create presentations, providing a method that can be transferred to other structured outputs.

  1. ITHome · AI78

    Xiaomi open-sources 0.8B document understanding model Xiaomi-OCR-0, supporting Markdown and JSON output

    Xiaomi open-sources lightweight document understanding model Xiaomi-OCR-0, with 0.8B parameter size, weights and inference code have been uploaded to Hugging Face and GitHub, a single model covers three tasks of document parsing, key information extraction, and OCR visual question answering.

    Why it matters: 0.8B parameters rank second on the overall list in OmniDocBench v1.6, and weights, MCP services, and Skill toolkits are also opened, which can be used to judge the boundary of small models for document parsing.

  1. Hugging Face Blog85

    Mistral Large 4 (Le Chonk) released on Hugging Face

    Mistral releases multimodal MoE model Mistral Large 4 (Le Chonk), with approximately 1T total parameters, 49B activation parameters, a context window of 1M tokens, offering two official versions FP8 and NVFP4, as well as GGUF made by Unsloth and llama.cpp teams.

    Same story · 2 outlets

    Why it matters: The original text provides specific scores for the 1T total parameter, 49B activation multimodal MoE model on cybersecurity and coding benchmarks, along with measured throughput for local and endpoint deployment.