

Looks like Deepseek-v4 confirmed. Get ready friends! The whale is back Andri Heeb (@andri_heeb) according to itself, yeah — https://nitter.net/andri_heeb/status/2041549379228615000#m
→ View original post on X — @kimmonismus, 2026-04-07 16:24 UTC

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Looks like Deepseek-v4 confirmed. Get ready friends! The whale is back Andri Heeb (@andri_heeb) according to itself, yeah — https://nitter.net/andri_heeb/status/2041549379228615000#m
→ View original post on X — @kimmonismus, 2026-04-07 16:24 UTC
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Embedding is an unsung hero in model accuracy and today is a big leap forward. It's at the heart of grounding; it's the layer that does the hard work of searching, retrieving, organizing, and connecting information across sources for a holistic response.
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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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If the system performs as demonstrated, it could eliminate the weeks typically spent on research and strategic planning before development even begins.
— Chubby♨️ (@kimmonismus) 7 avril 2026
In practice, this preparatory phase is where the majority of time is currently invested. Really nice! https://t.co/xF80r9iI1D
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

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

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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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BIG DAY: GLM 5.1, DeepSeek v4, Minimax 2.7 is COMING