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Wednesday

  1. t3n

    DeepSeek open-sources the Deepinfer inference framework, lowering the cost of self-hosted model deployment

    DeepSeek has open-sourced its internal inference framework Deepinfer on GitHub, with the goal of reducing the compute and energy costs of deploying models on your own. During the inference stage, the framework distributes load more evenly across available processor cores, uses speculative decoding to speed up responses, and improves the structure of results before output; it currently supports only DeepSeek-V4.1-Flash, with more of its own models to be opened up later. On the hardware side, it requires Nvidia GPUs with the SM100 architecture or Huawei Ascend 950 NPUs, so it is not aimed at individual users.

    DeepSeek has open-sourced its internal inference framework Deepinfer on GitHub, with the goal of reducing the compute and energy costs of deploying models on your own. During the inference stage, the framework distributes load more evenly across available processor cores, uses speculative decoding to speed up responses, and improves the structure of results before output; it currently supports only DeepSeek-V4.1-Flash, with more of its own models to be opened up later. On the hardware side, it r

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  2. Rohan Paul

    SoMark open-sources the 1.3B document parsing model OXR, ranking first on three benchmarks

    SoMark has open-sourced the 1.3B document parsing model OXR, which ranks first on olmOCR-Bench, OmniDocBench, and DocParsingBench, achieves 3.05x the throughput of GLM-OCR on a single RTX PRO 6000, and is the fastest open-source result in the speed comparison. OXR introduces RSI during post-training: a VLM evaluates its own outputs, rollout divergence flags uncertainty, and a separate clustering model attributes it, based on which the next round of targeted data is generated. Rohan Paul calls OXR the first model to use RSI in document parsing, with the GitHub link in the comments.

    R-Bench, OmniDocBench, and DocParsingBench, achieves 3.05x the throughput of GLM-OCR on a single RTX PRO 6000, and is the fastest open-source result in the speed comparison. OXR introduces RSI during post-training: a VLM evaluates its own outputs, rollout divergence flags uncertainty, and a separate clustering model attributes it, based on which the next round of targeted data is generated. Rohan Paul calls OXR the first model to use RSI in document parsing, with the GitHub link in the comments.

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  3. heise online

    Microsoft unveils a range of new cloud sovereignty tools at the Paris Frontier Tour

    At the Paris Frontier Tour, Microsoft CEO Satya Nadella and cloud business head Douglas Phillips unveiled a modular cloud sovereignty solution that lets enterprises decide for themselves the degree of control, transparency, and local execution for each computing task. A new Sovereign Control Panel aggregates Azure sovereignty signals, and a data guard and a Production Touch Ledger that records remote operations by Microsoft engineers are being rolled out gradually. Azure Managed HSM external key management is now generally available, and on the Azure Local side, DocumentDB, Blob Storage, GitHub Enterprise Local, and Foundry Local have been added. The German Informatics Society (GI) and others criticize such solutions as merely surface-level add-on controls, with the underlying software stack still controlled by US vendors.

    s, and a data guard and a Production Touch Ledger that records remote operations by Microsoft engineers are being rolled out gradually. Azure Managed HSM external key management is now generally available, and on the Azure Local side, DocumentDB, Blob Storage, GitHub Enterprise Local, and Foundry Local have been added. The German Informatics Society (GI) and others criticize such solutions as merely surface-level add-on controls, with the underlying software stack still controlled by US vendors.

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Tuesday

  1. Unite.AI

    Asymptote Labs Raises $5.5M Seed Round to Monitor and Govern Enterprise AI Agents

    Asymptote Labs has closed a $5.5 million seed round led by Tower Research Ventures, with participation from Lytical Ventures, 1984 Ventures, and South Park Commons; the funds will be used for engineering, product development, hiring, and market expansion. Its solution consists of Beacon, an MIT-licensed open-source telemetry layer, and an enterprise-grade detection, response, and governance platform. Beacon can record activity from more than 20 agent harnesses, including Claude Code, Codex, and Cursor, and normalize it into a runtime data model that extends OpenTelemetry. The company says Beacon's GitHub star count grew more than 460% in September and that it reached No. 3 on GitHub's global trending list.

    velopment, hiring, and market expansion. Its solution consists of Beacon, an MIT-licensed open-source telemetry layer, and an enterprise-grade detection, response, and governance platform. Beacon can record activity from more than 20 agent harnesses, including Claude Code, Codex, and Cursor, and normalize it into a runtime data model that extends OpenTelemetry. The company says Beacon's GitHub star count grew more than 460% in September and that it reached No. 3 on GitHub's global trending list.

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  2. Cursor BlogSelected

    Cursor Releases Agent SDK, Enabling Code-Defined Agents with One-Click Deployment

    Cursor has released the Agent SDK, the framework it uses to build hosted agents such as Bugbot, Security Reviewer, and Rollouts. Developers can define agents in code and deploy them to Cursor infrastructure with a single command, agent-sdk deploy. Agents are organized as small software projects, with prompts written in Markdown and tools defined as TypeScript functions. They can respond to PR events from GitHub, GitLab, and Bitbucket, and include built-in evals and event replay. They can also be packaged to run as a single Node process on your own infrastructure.

    ted agents such as Bugbot, Security Reviewer, and Rollouts. Developers can define agents in code and deploy them to Cursor infrastructure with a single command, agent-sdk deploy. Agents are organized as small software projects, with prompts written in Markdown and tools defined as TypeScript functions. They can respond to PR events from GitHub, GitLab, and Bitbucket, and include built-in evals and event replay. They can also be packaged to run as a single Node process on your own infrastructure.

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Monday