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Sep 29Tue
  1. AWS Machine Learning Blog66

    Introducing Claude Sonnet 5.5 on AWS

    AWS announced that Claude Sonnet 5.5 is now available on Amazon Bedrock (via the Global CRIS global. inference profile) and on the Claude Platform on AWS in North America.

    Why it matters: AWS's official post explains Claude Sonnet 5.5's availability on Bedrock, guidance on when to use it versus Opus 5.5, and how to get started, making it easy to evaluate adding it to existing workflows.

Sep 28Mon
  1. Mistral AI49

    Hallo, Deutschland!

    Mistral opened a new center in Munich with research teams focused on Physics AI and industrial AI. Since acquiring Emmi AI in May 2026, more than 30 physics and engineering AI researchers have joined; the company is currently working with BMW on crash simulation, with Siemens Energy on industrial AI, and with TUM on digital twin research for automotive aerodynamics.

  2. Hugging Face Blog71

    Holo4: powering generalist computer-use agents

    H Company has released the Holo4 agent series, available in two sizes: 27B dense and 35B-A3B MoE, alongside Holotron4 Nano built on Nemotron 3 Nano Omni.

    Why it matters: The official release of a generalist computer-use agent series details multi-interface adaptation design, OSWorld 2.0 score comparisons, and open-source trajectories, letting readers evaluate new open-source agent options.

  3. AMD Chips and Compute78

    AMD to Acquire World Labs to Advance the Future of AI Compute

    AMD announced a definitive agreement to acquire World Labs in an all-stock deal valued at approximately $8.2 billion, expected to close by the end of 2026, subject to regulatory approval and other customary closing conditions. Founded by Fei-Fei Li and headquartered in San Francisco, World Labs develops spatial intelligence models that generate, reconstruct, and simulate interactive 3D environments from text, image, and video inputs, as well as robot learning and simulation technology.

    Why it matters: AMD's official announcement gives the deal amount, equity form, and timeline, helping readers understand its direction of integrating AI hardware with model research.

  4. OpenAI News19

    Are you a Codex Original?

    OpenAI is collecting real stories from developers, researchers, and creators who use Codex, searching for the next cohort of the Codex Originals program. Users can submit their stories and projects; selected participants will showcase creative work built with Codex.

Sep 26Sat
  1. GitHub Blog · AI & ML64

    GitHub Copilot app for Beginners: How to build custom workflows with canvases

    An official GitHub tutorial shows how to build custom workflows with canvases in the GitHub Copilot app: run the /create-canvas skill in an agent session, describe the workflow, user actions, and agent actions in natural language, and the agent generates boards, checklists, dashboards, and other interfaces that open in the side panel.

    Why it matters: The tutorial covers the three elements of /create-canvas and its two-way collaboration mechanism, so readers can turn their own workflows into reusable canvases.

  2. AWS Machine Learning Blog31

    Scaling MoE reinforcement learning on Amazon EKS with EFA and DeepEP with 40% more throughput

    AWS proposed an architecture based on Amazon EKS, EFA and DeepEP to accelerate large-scale reinforcement learning post-training of MoE models, delivering 40% higher throughput. The solution targets workloads like RLHF, PPO and GRPO, addressing resource balancing between rollout generation and policy training, high-throughput communication across hundreds of accelerators, and the dynamic all-to-all token routing overhead introduced by Expert Parallelism.

Sep 25Fri
  1. GitHub Blog · AI & ML55

    When chat is the wrong UI

    GitHub Copilot authors argue that chat is not the best interface for collaborating with AI, introducing the canvas feature in the GitHub Copilot app—a small full-stack app that communicates bidirectionally with agents, can call third-party APIs, and runs code locally.

  2. Google Research54

    Automating coherent long-form video generation

    Google Research unveiled its AI video co-director research, building a multi-agent orchestration layer based on Gemini and Veo with four frameworks — Co-Director, CANVAS, A²RD and VQQA — that reformulates long-form video generation as a global optimization and world-state tracking problem.

  3. GitHub Blog · AI & ML68

    AI-powered fuzzing with the GitHub Security Lab Taskflow Agent

    Antonio Morales of GitHub Security Lab has released Fuzzing Taskflow, an autonomous fuzzing pipeline for C/C++ projects built on the Taskflow Agent — you only specify a GitHub repository, and it automatically identifies entry points, analyzes the build system, writes harnesses, runs AFL++, and triages crashes.

    Why it matters: The author explains the design of the automated fuzzing pipeline, showing how LLM agents can take over manual steps like coverage analysis and crash triage.

Sep 24Thu
  1. Hugging Face Blog60

    Accelerating vision-language models with LFM2.5-VL-DSpark

    Liquid AI has released experimental DSpark draft models for the vision-language model LFM2.5-VL-3B, using speculative decoding to trade for faster inference without changing output quality — decoding speeds up to 3.13x on-device and 2.66x on H100, with end-to-end gains up to 2.62x and 2.27x respectively.

    Why it matters: The article details a speculative decoding acceleration scheme for vision-language models with concrete speedups and memory overhead, plus integration guidance for llama.cpp, MLX-VLM, and SGLang.

  2. GitHub Blog · AI & ML60

    Rendering huge pull requests in the GitHub Copilot app

    The GitHub Copilot app team rebuilt the pull request view so it can smoothly open an open-source PR with 2,200 files, over one million changed lines, and more than 400 inline comments.

    Why it matters: The author offers a first-hand breakdown of the dual-geometry architecture and automated measurement methods for rendering huge PRs, useful for anyone building interfaces with large-scale dynamic content.

Sep 23Wed
  1. Google DeepMind64

    Gemini 3.8 text-to-speech says hello

    On September 23, Google DeepMind released two text-to-speech models, Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, which support customizing character voices via natural-language prompts in over 100 languages, cloning voices from 30-second audio samples, directing delivery and dialect changes line by line, and natively generating two-speaker scenarios.

    Why it matters: The official announcement details both TTS models' capabilities, benchmark results, and availability, so readers can judge how voice creation workflows will change.

  2. NVIDIA Blog19

    Sakeena Fiza Helps NVIDIA Hardware Succeed at Scale

    NVIDIA validation engineer Sakeena Fiza tests data center hardware before mass production; her team witnessed the first system-level power-on of the Rubin GPU. Validation spans the entire chain from tray to rack to AI factory—a single board contains tens of thousands of components and a rack can approach 500,000—with the goal of catching issues before customers do.