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🚨 Leaderboard Disrupted! Two new models have entered the Top 10 Text leaderboard: 🔸#6 Qwen3-max-preview (Proprietary) by @Alibaba_Qwen 🔸#8 Kimi-K2-0905-preview (Modified MIT) by @Kimi_Moonshot tied with 7 others. Note that this puts Kimi-K2-0905-preview in a tight race for https://x.com/arena/status/1965115050273976703
Updated & turned my Big LLM Architecture Comparison article into a narrated video lecture. The 11 LLM architectures covered in this video: 1. DeepSeek V3/R1 2. OLMo 2 3. Gemma 3 4. Mistral Small 3.1 5. Llama 4 6. Qwen3 7. SmolLM3 8. Kimi 2 9. GPT-OSS 10. Grok 2.5 11. GLM-4.5 https://x.com/rasbt/status/1965798055141429523
@Alibaba_Qwen (Gated) Attention is all you need. Excited to offer both Qwen3-Next models on dedicated deployments backed by 4xH100 GPUs. https://x.com/basetenco/status/1966224960223158768
Alibaba’s New AI Tool Just Changed Ecommerce Forever https://x.com/ariesnotebook/status/1964014875807559904
4B OCR with Apache-2.0 license outperforming Mistral OCR 🔥 Tencent released Points-Reader, it’s a new model firstly trained on Qwen2.5VL annotations and then self-trained on real data in many benchmarks, it performs better than Qwen2.5VL and MistralOCR! https://x.com/mervenoyann/status/1966176133894098944
@reach_vb @Alibaba_Qwen ❤️ We ship as fast as we can. We optimized the models’ speed, serve in bf16, should be fast!”” / X https://x.com/Yuchenj_UW/status/1966201249721888800
🚀 Introducing Qwen3-Next-80B-A3B — the FUTURE of efficient LLMs is here! 🔹 80B params, but only 3B activated per token → 10x cheaper training, 10x faster inference than Qwen3-32B.(esp. @ 32K+ context!) 🔹Hybrid Architecture: Gated DeltaNet + Gated Attention → best of speed & https://x.com/Alibaba_Qwen/status/1966197643904000262
From research paper to live website in minutes 🚀 Upload your paper, let Qwen Chat turn it into a webpage, and deploy instantly. Try it now: https://x.com/Alibaba_Qwen/status/1964870508421480524
I vibe coded a visual PDF search app with ColQwen2. This is how it works: – Store PDF files as images in a @weaviate_io vector database – Embed images and text with a multimodal late-interaction model (ColQwen2) – Generate token-wise (and summed) similarity maps to highlight https://x.com/helloiamleonie/status/1964997028875743637
Learn more about Qwen3-max-preview here: https://x.com/arena/status/1965124408097517853
Qwen3-Next (thinking & non-thinking) are now live in BF16 at Hyperbolic! Qwen3-Next is a huge efficiency leap: – 80B MoE with just 3B active params – 10x cheaper to train vs Qwen3-32B – 10x inference throughput for >32K tokens Proud to be a launch partner with @Alibaba_Qwen – https://x.com/Yuchenj_UW/status/1966199037973200955
Qwen3-Next, or to say, a preview of our next generation (3.5?) is out! This time we try to be bold, but actually we have been doing experiments on hybrid models and linear attention for about a year. We believe that our solution shoud be at least a stable and solid solution to”” / X https://x.com/JustinLin610/status/1966199996728156167
Qwen3-Next: Towards Ultimate Training & Inference Efficiency
https://qwen.ai/blog?id=4074cca80393150c248e508aa62983f9cb7d27cd&from=research.latest-advancements-list
Welcome Qwen3-Next! You can run it efficiently on vLLM with accelerated kernels and native memory management for hybrid models. https://x.com/vllm_project/status/1966224816777928960
🎙️ Meet Qwen3-ASR — the all-in-one speech recognition model! ✅ High-accuracy EN/CN + 9 more languages: ar, de, en, es, fr, it, ja, ko, pt, ru, zh ✅ Auto language detection ✅ Songs? Raps? Voice with BGM? No problem. <8% WER ✅ Works in noise, low quality, far-field ✅ Custom https://x.com/Alibaba_Qwen/status/1965068737297707261
inpainting is not dead! @instantx_ai brought it back to life! 🪔🕯 Qwen Image Inpainting ControlNet allows for the most precise, targeted & high quality edits that ever happened to inpainting Official Model & Demo on @huggingface 🤗 https://x.com/multimodalart/status/1966190381340692748
Alibaba leads $100m round in Chinese robotics startup X Square
https://www.techinasia.com/news/alibaba-leads-100m-round-in-chinese-robotics-startup-x-square
Chinese humanoid startup X Square Robot has raised $100M in a funding round led by Alibaba Cloud, with HongShan (formerly Sequoia Capital China) and others, bringing total funding to $280M since the company launched Dec 2023. The firm recently launched Wall-OSS, an open-source https://x.com/TheHumanoidHub/status/1965475160804462768
