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  • Harrier Upgrades Bing Web Grounding for Agentic AI Era

    By

    @mustafasuleyman

    –

    Bing's web grounding already powers almost every major AI chatbot today. With Harrier, it just got a big upgrade for the agentic era. Better embeddings lead to better retrieval, often more accurate answers, and better multilingual performance in the 100+ languages Harrier

    → View original post on X — @mustafasuleyman

  • Microsoft Open-Sources Industry-Leading Embedding Model Harrier

    By

    @mustafasuleyman

    –

    Big kudos to @JordiRib1 and the @bing team – awesome to see the speed and quality shipping across @MicrosoftAI
    . More on Harrier in today's blog: https://
    blogs.bing.com/search/April-2
    026/Microsoft-Open-Sources-Industry-Leading-Embedding-Model
    …

    → View original post on X — @mustafasuleyman

  • Bing releases Harrier, new state-of-the-art embedding model
    Bing releases Harrier, new state-of-the-art embedding model

    By

    @clementdelangue

    –

    Another SOTA model drop! This time from the @Bing team: meet Harrier, a new open-source embedding model with state-of-the-art performance and the #1 spot on the industry standard multilingual MTEB-v2 benchmark. Jordi Ribas (@JordiRib1) I’m pleased to share that our search team has open sourced an embedding model called Harrier that is currently ranking #1 on the multilingual MTEB-v2 benchmark leaderboard. Harrier delivers SOTA performance on retrieval quality, semantic matching, and contextual analysis across workloads, supporting more than 100 languages and handles long inputs up to 32K. It is built for the next generation semantic search for Bing and our web grounding (RAG) service for AI agents, which already powers nearly every major AI chatbot today. As you can see in the leadership board, our Harrier model is currently ahead of other excellent models based on Gemini, Gemma, Llama, Qwen, and more. I’m grateful for the hard work of our team to get to this top ranking, and I’m excited to see all the healthy competition in the space, which should ultimately lead to more innovations that will benefit everyone. Learn more: msft.it/6019QNB0b — https://nitter.net/JordiRib1/status/2041550352739164404#m

    → View original post on X — @clementdelangue, 2026-04-07 16:22 UTC

  • Rocket 1.0 Eliminates Research Phase by Connecting Strategy to Development

    By

    @kimmonismus

    –

    If the system performs as demonstrated, it could eliminate the weeks typically spent on research and strategic planning before development even begins. In practice, this preparatory phase is where the majority of time is currently invested. Really nice! Vishal Virani (@Vishalvirani91) Rocket 1.0 is live. This is our first major step toward Vibe Solutioning. Vibe coding solved how to build. It never solved what to build, or why. That's the harder problem and the one where most products actually fail. @rocketdotnew connects the thinking and the building in one platform. Solve your hardest business question. Build from what you solved. Watch your competition while you work. Everything shares one context. Nothing resets between sessions. The video and blog explain it better than I can here. — https://nitter.net/Vishalvirani91/status/2041546557342855363#m

    → View original post on X — @kimmonismus, 2026-04-07 16:19 UTC

  • GLM-5.1: Open-Source AI Tops Coding Benchmarks
    GLM-5.1: Open-Source AI Tops Coding Benchmarks

    By

    @testingcatalog

    –

    BREAKING : Z AI released GLM-5.1, an open-source model with top tier coding performance! “Number 1 in open source and number 3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo.” “Runs autonomously for 8 hours, refining strategies through thousands of iterations.”

    → View original post on X — @testingcatalog

  • VIBO Sensor: Local Vibration Preprocessing with Modbus Protocol

    By

    @fogoros

    –

    The VIBO sensor preprocesses vibration measurements locally with 20 kHz bandwidth, then transmits processed data over standard Modbus protocol.

    → View original post on X — @fogoros

  • Generative AI: 90% Accuracy, 10% Unacceptable Errors
    Generative AI: 90% Accuracy, 10% Unacceptable Errors

    By

    @garymarcus

    –

    Imagine if your car randomly went out of control 10% of the time. That's commercial-grade generative AI web search. rat king 🐀 (@MikeIsaac) glass half full: 90 percent accuracy is an impressive accuracy rate glass half empty: 10 percent error rate for a company that does more than 5 Trillion search queries per year is still a gigantic number nytimes.com/2026/04/07/techn… — https://nitter.net/MikeIsaac/status/2041535422623609174#m [Translated from EN to English]

    → View original post on X — @garymarcus, 2026-04-07 16:16 UTC

  • Android XR Gets Better With 5 New Immersive Features

    By

    @scobleizer

    –

    Android XR is getting even better! 🥽✨ We’re rolling out 5 new features to deepen your immersion from auto-spatialization updates to community-requested refinements. 🧵Check out the thread below for some highlights:

    → View original post on X — @scobleizer, 2026-04-07 16:15 UTC

  • Microsoft Open Sources Harrier: Top Multilingual Embedding Model

    By

    @huggingface

    –

    I’m pleased to share that our search team has open sourced an embedding model called Harrier that is currently ranking #1 on the multilingual MTEB-v2 benchmark leaderboard. Harrier delivers SOTA performance on retrieval quality, semantic matching, and contextual analysis across workloads, supporting more than 100 languages and handles long inputs up to 32K. It is built for the next generation semantic search for Bing and our web grounding (RAG) service for AI agents, which already powers nearly every major AI chatbot today. As you can see in the leadership board, our Harrier model is currently ahead of other excellent models based on Gemini, Gemma, Llama, Qwen, and more. I’m grateful for the hard work of our team to get to this top ranking, and I’m excited to see all the healthy competition in the space, which should ultimately lead to more innovations that will benefit everyone. Learn more: msft.it/6019QNB0b

    → View original post on X — @huggingface

  • GLM-5.1: Open Source AI Model Achieves Top Performance Rankings
    GLM-5.1: Open Source AI Model Achieves Top Performance Rankings

    By

    @scobleizer

    –

    Introducing GLM-5.1: The Next Level of Open Source – Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo. – Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations. Blog: z.ai/blog/glm-5.1 Weights: huggingface.co/zai-org/GLM-5… API: docs.z.ai/guides/llm/glm-5.1 Coding Plan: z.ai/subscribe Coming to chat.z.ai in the next few days.

    → View original post on X — @scobleizer, 2026-04-07 16:14 UTC