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Aug 28

Aug 28Fri
  1. RadixArkAI score40

    RadixArk releases experimental NVFP4 checkpoint for GLM-5.3

    AIRadixArk has published an experimental NVFP4 checkpoint for Zhipu's GLM-5.3 on Hugging Face, and says Miles support for GLM-5.3 is on the way. The company says GLM-5.2 is already serving hundreds of thousands of people in production with its partners on SGLang. Background from SGLang reports day-0 serving support for GLM-5.3, with 537.6 tok/s/user on NVFP4 and 413 tok/s/user on FP8 at BS=1 with TP8 on 8x B300.

Aug 27

Aug 27Thu
  1. RadixArkAI score34

    RadixArk adds LoRA SFT to Miles-diffusion for targeted post-training

    AIRadixArk introduced LoRA SFT in Miles-diffusion for fast, targeted post-training of diffusion models. The company trained a rank-64 LoRA adapter for MiniMax H3 to improve physical realism, using 254 curated training windows and under 3 hours on 8 GPUs. The adapter can be exported to safetensors and served directly with SGLang without retraining the full model.

  2. Anthropic · YouTubeAI score43

    Anthropic Unveils Model Hardware Standard for AI Agents Operating Physical Equipment

    AIAnthropic is introducing the Model Hardware Standard (MHS), a new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing. MHS began as part of a beneficial deployments project with HHMI Janelia Research Campus and is evolving into a wider industry effort. It is now in research preview with select partners.

  3. Augment Code BlogAI score50

    Augment Code launches Cosmos Advisor, an agent that configures its own platform

    AIAugment Code introduces Cosmos Advisor, an expert that can answer product questions, configure agents, and deploy automations from a single conversation. The company says a company-specific agent can be set up in about ten minutes, without a handoff to an implementation team. Advisor draws on the current Cosmos knowledgebase and reusable expert designs, such as incident response, and it works within Object-Level Access Control.

  4. Anthropic · YouTubeAI score62

    Anthropic and HHMI Janelia launch Model Hardware Standard for AI lab equipment

    AIAnthropic is building the Model Hardware Standard (MHS), a common way for AI models to connect to lab and manufacturing equipment and operate it with safety limits built into each device. MHS started as a collaboration between Anthropic and HHMI Janelia Research Campus and is launching as a research preview with partners across science, robotics, and manufacturing.

    Why it matters: The source describes a standard for connecting AI models to lab and manufacturing hardware, which matters for anyone building automated experimentation workflows.

  5. TinkerAI score41

    alphaXiv turns research papers into live experiments run by agents on Tinker

    AIalphaXiv is turning research papers from static artifacts into live research that grows and branches, with agents running their own experiments. Tinker says it makes running these experiments easy for both agents and people. Via alphaXiv's background post, its autoresearch tool lets Claude or Codex agents replicate and experiment on any arXiv paper, with agents launching concurrent RL runs through Tinker for post-training.

  6. Anthropic · YouTubeAI score58

    Anthropic's Model Hardware Standard lets AI agents operate physical lab equipment

    AIAnthropic and HHMI Janelia Research Campus developed the Model Hardware Standard (MHS), a standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing. MHS is now in research preview with select partners, and the video describes how it was developed and how it can accelerate research.

  7. Leandro von WerraAI score22

    Pollen Robotics unveils Microduck, a $400 open-source RL biped robot

    AIPollen Robotics has unveiled Microduck, a 25 cm open-source biped with 15 actuators and sensors including a camera, speaker, and LiDAR that users can train with reinforcement learning. The robot ships with more than half a dozen pre-trained policies for walking, sitting, roller-skating, and picking up objects with its articulated beak, and costs less than $400.

Aug 26

Aug 26Wed
  1. Cursor ChangelogAI score46

    Cursor Cloud Agents now let you start projects from scratch without a repo

    AICursor Cloud Agents no longer require a connected GitHub or other third-party SCM provider to begin work. Users select "Start from scratch" in the repo picker, and Cursor creates an Origin repo in the background that can be saved as a private or internal repo via "Create repo." Cursor also now port-forwards the cloud agent's live environment to the browser for previews, and a connected Vercel account lets users publish a live URL.

  2. Replit BlogAI score38

    Replit Launches Intelligent Model Routing, Auto-Matching Each Task to Suitable AI Model

    AIReplit has made Intelligent Model Routing available to all users, automatically matching each task with a model based on quality, speed, and cost. In the company's testing, the feature delivered the same output quality at 65% lower cost than the previous version of Max Mode. Enterprise administrators can restrict routing to a company-approved set of models.

  3. LMSYS OrgAI score60

    SGLang adds Day-0 support for Qwen3.8-Flash-Next with an NVFP4 checkpoint

    AISGLang announced Day-0 support for Qwen3.8-Flash-Next, a 125B MoE model with 6B active parameters and 51B N-gram embeddings, in collaboration with Alibaba Qwen, NVIDIA, and AMD. The post reports 540 tok/s decode speed at BS=1 on NVIDIA B200 (TP4) with an NVFP4 checkpoint, and says N-gram host offloading saves 23.5 GiB VRAM per GPU and raises KV capacity by 78.5%.

Aug 25

Aug 25Tue
  1. Andrew NgAI score46

    OpenWorker adds built-in security agents for code, dependencies, and cloud

    AIOpenWorker, an open source agent that completes tasks on a laptop, has released a new version with built-in cybersecurity agents. The agents scan code for vulnerabilities, scan dependencies for supply chain injections, and check cloud security configurations for attack surfaces. Users can run open weight models locally so sensitive code stays on their machine.

  2. Microsoft AI BlogAI score24

    Microsoft Marketplace adds intelligent discovery to help businesses find AI apps and agents

    AIMicrosoft Marketplace has made intelligent discovery generally available worldwide, letting customers describe business challenges in natural language and receive contextual recommendations and conversational comparisons. Early preview results show customers were 68% more likely to find solutions that met their needs and take the next step toward purchase.

Aug 24

Aug 24Mon
  1. Engineering at MetaAI score72

    Meta details MetaRoCE, an RDMA transport designed for AI-scale Ethernet

    AIMeta designed MetaRoCE, a clean-sheet RDMA transport for AI workloads on commodity Ethernet, and is releasing its specification, reference software and compliance test suite through the Open Compute Project. On a 64-node AMD GPU cluster running RCCL collectives, the post reports MetaRoCE delivering higher throughput and lower flow completion times than RoCEv2, with about 86% throughput maintained at 1% packet loss.

    Why it matters: The post explains how per-path endpoint intelligence replaces lossless fabric assumptions, with measured throughput and loss results against RoCEv2 on a 64-node AMD cluster.