Skip to content
Live
Official sources#Open source
Oct 28Wed
  5. Together AI Blog38

    Together AI has launched an auto-repair feature for GPU clusters: a complete process from GPU failure to healthy nodes

    Together AI has launched an auto-repair feature for GPU clusters, which continuously monitors node health on both virtual machines and host machines. When a failure is detected, it recommends minimizing repair actions and provides evidence, allowing users to choose automatic execution or manual approval. This feature is now fully available, supporting passive health checks, repair recommendations, automatic repair policies (including fault and node-level authorization), idle wait control, upgrade tiers, and safety guards, and is performed via API and console; the preview version provides repair commitment support based on node tags for third-party detection systems.

  10. Hugging Face Blog76

    Liquid AI releases LFM3 series: Same 2B backbone derived text, visual, audio, multimodal and decision models

    Liquid AI releases the new generation Liquid Foundation Models, LFM3, deriving six 2B-level models from the shared backbone LFM3-1.7B-Base, covering text, vision, audio, multimodal, and decision, all open weights on Hugging Face.

    Why it matters: Liquid AI derives six modality models from the same 2B-level backbone and provides single-card fine-tuning and edge deployment paths, which can be used to judge the specialization route for small models.

  11. LangChain Blog71

    How to Set Up Design Intelligent Agents with LangChain Content Studio

    LangChain introduces the internal design of its intelligent agent Content Studio, which can generate videos, social media graphics, UI diagrams, and presentations in Slack with a single prompt word, with all materials generated by code.

    Why it matters: LangChain has disclosed the complete setup process of its design agent Content Studio, including skills, wiki, inspection gates, and the division of labor between asynchronous sub-agents, which can serve as a reference for building vertical agents.

Oct 27Tue
  1. NVIDIA Blog

    C-BRAIN and NVIDIA are jointly using AI to accelerate dementia research

    C-BRAIN and NVIDIA are using AI to change the pace of dementia research. They are accelerating the development of new therapies by integrating previously unpublished Alzheimer's research data, including unpublished results and controlled proprietary data. C-BRAIN employs a hybrid centralized and federated architecture to protect data privacy, deploying 64 NVIDIA data center GPUs and cloud nodes, and plans to introduce the NVIDIA Blackwell system to support its expansion goals.

  2. IBM Research Blog38

    IBM researchers use l-couplers to connect two IBM Quantum Nighthawk processors

    IBM researchers use four meter-scale l-couplers to connect two IBM Quantum Nighthawk processors, achieving 99% quantum state transfer fidelity, demonstrating reliable quantum information transfer between processors. This new inter-chip connection design is compatible with IBM Quantum Nighthawk and can be scaled to IBM Quantum Starling and more advanced quantum computers.

  5. Ai2 Blog

    Ai2 has released the research 'Old Ideas, Novel Problems' to evaluate the reliability of large language models in judging the innovative nature of scientific research

    Ai2 has released a study titled 'Old Ideas, Novel Problems,' evaluating the reliability of six LLMs (GPT-5.1 to 5.4, Claude Sonnet 4.5 to 4.6) in judging the innovativeness of scientific research. The study found that fine-tuning prompts can lead to accuracy differences of over 50%. The research constructed a benchmark dataset containing 154 human-generated and 154 AI-generated scientific ideas, confirming that models have insufficient stability in judgment and require more reliable methods to evaluate new ideas proposed by AI.

  10. Ant Group inclusionAI · Hugging Face new models38

    inclusionAI/Ling-3.0-flash-Sante-fp8 released: FP8 quantized medical dedicated large model

    inclusionAI/Ling-3.0-flash-Sante-fp8 released FP8 quantized version, retaining 124B parameters (5.1B/Token) and BF16 performance, reducing memory and improving deployment efficiency, supporting medical inference, research, and tool-assisted workflows, requiring professional manual review. Stable performance on benchmarks like Healthbench, ReDisQA, achieving efficient inference through block FP8 quantization (128x128 blocks).

  12. Databricks Blog

    Lakeflow Connect integrates enterprise productivity with AI data

    Lakeflow Connect supports wikis, project management tools, and AI base models through native connectors, enabling downstream AI agents to obtain complete business context. The platform provides fully managed native connectors that support SaaS applications, databases, and file sources, with data directly imported into the Databricks platform, and incremental import of Unity Catalog tables through point-and-click UI or API configuration.

  16. LangChain Blog58

    How LangChain builds enterprise-level agents (company harness)

    LangChain's internal agents integrate with Slack to execute tasks as a user or with fixed credentials, featuring global and user-level memory, executing code in a sandbox, and supporting background scheduling. Its architecture includes three agents: GTM, OpenSWE, and Content Studio, which handle GTM activities, engineering code reviews, and marketing content creation, respectively. The 'breakout' feature optimizes user experience and addresses core issues like authentication.

  18. Apple Machine Learning Research

    GHARP: Real-time Gaussian head animation method based on large-scale reconstruction priors

    The GHARP method animates 3D heads in real-time using a small amount of input images and expression signals, divided into an offline identity phase (constructing geometry and appearance representations) and a runtime animation phase (predicting expression residuals). This method performs animation in the semantic structure latent space of the pre-trained reconstruction model, limiting the expression change space to achieve efficient residual prediction, and achieves SOTA quality on the Ava-256 benchmark, with a 13x speedup on A100 GPUs and an 8x reduction in the number of Gaussians.

  21. AWS Machine Learning Blog48

    Building enterprise-grade intelligent retrieval on Amazon Bedrock knowledge base using AWS CDK

    Building enterprise-grade intelligent retrieval on Amazon Bedrock knowledge base using AWS CDK, providing multi-round planning and tool-driven retrieval through the reasoning agent and AgenticRetrieveStream API, returning referenced answers. The solution deployment includes a CDK application with Amazon S3 corpus, knowledge base, and reasoning agent, supporting semantic routing and multiple retrievals, and built-in Amazon CloudWatch monitoring and evaluation features.

  23. Google Developers Blog58

    Google Workspace allows users to natively preview, edit, and collaborate on Markdown (.md) files in Google Docs and Drive.

    Google Workspace allows users to natively preview, edit, and collaborate on Markdown (.md) files in Google Docs and Drive without converting file types, preserving the underlying document. This feature supports real-time collaboration, version history tracking, and allows formatted Markdown files to be previewed in Drive, facilitating work between humans and AI agents. Any user with a Google or Workspace account can start using it immediately.

Oct 26Mon
  1. IBM Research Blog58

    PyTorch supports IBM's dataflow AI accelerator Spyre through torch-spyre and Spyre vLLM plugin

    IBM and the PyTorch Foundation announce that Spyre accelerator will become the first-class backend for PyTorch and support multi-accelerator scheduling. The torch-spyre compiler, Spyre vLLM plugin, and continuous integration efforts enable models and workflows to run on Spyre, an architecture optimized for inference, suitable for IBM Z, LinuxONE, and Power systems.

Oct 25Sun
  1. Ollama Blog62

    Ollama launches speech model, premiering Phonon text-to-speech

    Ollama adds text-to-speech capability, the first integrated speech model is the small TTS model family Phonon from Gradium, currently supporting macOS, Windows, and Linux with support for Linux to be released soon.

    Why it matters: The original text provides throughput comparison, accuracy, and OpenAI-compatible interface after Ollama integrates speech models, which can be used to judge the local TTS implementation method.

  2. Ant Group inclusionAI · Hugging Face new models58

    inclusionAI/Ling-3.1-flash-base released: a sparse MoE architecture large model with 560B parameters.

    inclusionAI/Ling-3.1-flash-base is released, a sparse MoE architecture large model with 560B total parameters and 25B active parameters. It adopts a hybrid linear attention mechanism (63 KDA + 9 Gated MLA) and performs excellently in 47 cross-domain benchmark tests spanning eight fields. It supports continuous pre-training, domain adaptation, and post-training research. The model is trained with FP8 precision and released with BF16 precision, following the MIT license.