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
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OPEN SOURCE
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Microsoft Open-Sources Industry-Leading Embedding Model Harrier
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Bing releases Harrier, new state-of-the-art embedding model
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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
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GLM-5.1: Open-Source AI Tops Coding Benchmarks
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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.”
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Microsoft Open Sources Harrier: Top Multilingual Embedding Model
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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.
— Jordi Ribas (@JordiRib1) 7 avril 2026
Harrier delivers SOTA performance on retrieval quality, semantic matching, and contextual analysis across… pic.twitter.com/asMVydbijhI’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
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GLM-5.1: Open Source AI Model Achieves Top Performance Rankings
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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
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OpenMed dataset added to Hugging Face platform
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just added openmed data on @huggingface, what else
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Git Celebrates 21st Birthday with Creative Poem
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In honor of Git's 21st birthday, a poem written in Git: https://
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WildDet3D: Open Model for Monocular 3D Object Detection
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Today we're releasing WildDet3D—an open model for monocular 3D object detection in the wild.
— Ai2 (@allen_ai) 7 avril 2026
It works with text, clicks, or 2D boxes, and on zero-shot evals it nearly doubles the best prior scores. 🧵 pic.twitter.com/Zszy3dbG6CToday we're releasing WildDet3D—an open model for monocular 3D object detection in the wild. It works with text, clicks, or 2D boxes, and on zero-shot evals it nearly doubles the best prior scores. 🧵
→ View original post on X — @scobleizer, 2026-04-07 15:54 UTC
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Open Source ML Team Pushes Bleeding Edge Innovation Forward
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love the work you and the team are doing! excited to support you as you push the bleeding edge of open source ML!
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LeRobot Releases Robot Clothes Folding Project with Full Documentation
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Releasing the Unfolding Robotics blog!
— LeRobot (@LeRobotHF) 7 avril 2026
Time to unfold robotics: we trained a robot to fold clothes using 8 bimanual setups, 100+ hours of demonstrations, and 5k+ GPU hours.
Flashy robot demos are everywhere. But you rarely see the real story: the data, the failures, the… pic.twitter.com/02O8ndkRMdReleasing the Unfolding Robotics blog! Time to unfold robotics: we trained a robot to fold clothes using 8 bimanual setups, 100+ hours of demonstrations, and 5k+ GPU hours. Flashy robot demos are everywhere. But you rarely see the real story: the data, the failures, the engineering. We’re sharing everything: code, data, and details in the blog → huggingface.co/spaces/lerobo…
→ View original post on X — @clementdelangue, 2026-04-07 15:45 UTC