Xiaomi Ecosystem
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Market Closed Apr 30 16:00 CST
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$XIAOMI-W (01810.HK)$Xiaomi's MiMo punches above its weight, eclipses OpenAI and Alibaba in AI tests
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$XIAOMI-W (01810.HK)$ 👀potential tight pivot bo
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$XIAOMI-W (01810.HK)$Xiaomi’s Xring Is The Name Of The Company’s Upcoming In-House Chipset And It Finally Has A Potential Launch Date, Though Tipster Hints That It Could Be Delayed
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$XIAOMI-W (01810.HK)$Von wegen China-Auto: Xiaomi wird aus München "Porsche" angreifen
What's Xiaomi planning? New report really kicks things into high gear
Xiaomi plans to enter the European market with its new car division in the medium term – CEO Lei Jun has already publicly announced this. The first model, the SU7, has also attracted considerable attention here and is enjoying strong sales in China. But when will sales begin here and in the EU?
Now, exclusive research...
What's Xiaomi planning? New report really kicks things into high gear
Xiaomi plans to enter the European market with its new car division in the medium term – CEO Lei Jun has already publicly announced this. The first model, the SU7, has also attracted considerable attention here and is enjoying strong sales in China. But when will sales begin here and in the EU?
Now, exclusive research...
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$XIAOMI-W (01810.HK)$ be worth? If all goes to plan what price could we be looking at? I'm thinking 65 Hkd to 70ish
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$XIAOMI-W (01810.HK)$ Xiaomi’s shares surged another 6% in Hong Kong trade on Wednesday after Jefferies reiterated its Buy rating on the technology giant, while also touting it as a top pick among its Chinese peers. The shares jumped 5.8% on Tuesday.
$XIAOMI-W (01810.HK)$
Does it means large capital coming in ?
Does it means large capital coming in ?
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$XIAOMI-W (01810.HK)$Nvidia Just Lost a $5.5 Billion Opportunity. This Fast-Growing Tech Stock Could Scoop It Up
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Moriarty mcG OP : Xiaomi recently unveiled MiMo, its first open-source large language model (LLM) designed for reasoning tasks, announced on April 30, 2025. Here’s a detailed breakdown based on available information:What is MiMo?MiMo (likely standing for "Mindful Model" or a similar term, though not explicitly defined) is a 7-billion-parameter LLM series, trained from scratch by Xiaomi’s LLM-Core Team for mathematics, coding, and general reasoning tasks. It’s optimized through pre-training and post-training (reinforcement learning, or RL) to enhance reasoning capabilities.The MiMo-7B series includes:MiMo-7B-Base: Pre-trained on ~25 trillion tokens with a multi-token prediction objective to boost performance and inference speed.MiMo-7B-SFT: A supervised fine-tuned version.MiMo-7B-RL: RL-tuned from the base model, excelling in math and code.MiMo-7B-RL-Zero: RL-trained from a cold-start supervised fine-tuned model, achieving 93.6% on specific benchmarks.PerformanceDespite its compact size (7B parameters), MiMo outperforms larger models like OpenAI’s closed-source o1-mini and Alibaba’s Qwen-32B-Preview on key benchmarks (e.g., AIME24, AIME25, LiveCodeBench, MATH500, GPQA-Diamond). For example, MiMo-7B-RL matches o1-mini’s performance in math and coding tasks.It uses a three-stage pre-training data mixture and RL with 130K curated math/code problems, verified by rule-based systems to ensure quality. A test difficulty-driven reward system and data resampling enhance its optimization.AvailabilityMiMo is open-source, with models available on Hugging Face (https://huggingface.co/XiaomiMiMo). Xiaomi supports inference via a forked version of vLLM, though compatibility with other engines is unverified. The team welcomes contributions and feedback at mimo@xiaomi.com.The release includes checkpoints for all model variants, aiming to benefit the broader AI community by providing insights into building reasoning-focused LLMs.SignificanceMiMo marks Xiaomi’s entry into the competitive AI landscape, showcasing its ambition beyond hardware. Posts on X highlight its compact efficiency and superior performance, with sentiments praising Xiaomi’s innovation in open-source AI.Unlike proprietary models, MiMo’s open-source nature allows developers and researchers to adapt and build upon it, potentially accelerating advancements in reasoning-focused AI applications