1月8日，智谱AI（02513.HK）正式登陆港交所主板，打响了"AI六小虎"资本化的第一枪。 智谱发行价为116.2港元/股，当日报收131.5港元/股，涨幅为13.17%，总市值约579亿港元。智谱上市也给背后的股东阵营带来收益， 按照收盘价计算，大厂中持股比例较高的美团，其持股市值达22.63亿港元，浮盈近20亿港元。 值得关注的是，早在2023年，智谱AI已经获得包括美团、腾讯、阿里等互联网大厂的投资，核心创始团队成员唐杰、张鹏、刘德兵等 人均出自清华。IPO前，成立6年的智谱AI历经8轮融资，累计融资超83亿元，其中超九成融资发生在Chat GPT发布后，备受资本青 睐。 智谱董事长刘德兵上市前公开表示，IPO最重要的是对"技术逻辑能否跑通商业逻辑"的实战检验。智谱在内部复盘时，主要看收入结 构和增长质量、底层技术到底在什么位置、看生态的实际渗透率这三个维度的表现。2025年智谱加大开源力度，智谱开源系列在全球 的累计下载量已经超过6000万次，这个生态实际渗透率意味着模型已真正进入开发者的工作流里。 当下正值一波AI企业上市热潮，此前国产GPU企业摩尔线程和沐曦股份上市一度引爆市场。国产大模型赛道 ...

个人投资者该如何布局人工智能领域？这是我几位亲戚在假期里向我提出的问题。 这个问题眼下尤为值得探讨。人工智能企业 Anthropic 今年可能启动上市，而 OpenAI 也可能紧随其 后。这意味着，散户投资者或将迎来两支罕见的纯人工智能概念股的投资机会。 而在此之前，普通投资者若想投资人工智能头部企业，只能通过私募市场 —— 这一领域长期以来都是 机构投资者与高净值人群的专属地盘。眼下，人工智能领域的私募融资热度依旧不减。就在本周二， xAI 宣布完成 200 亿美元融资，投资方涵盖多家大型机构；而 OpenAI 也在推进一轮规模达 1000 亿美 元的融资计划。 目前，散户投资者的选择其实十分有限：要么投资微软、谷歌这类将人工智能作为核心业务板块的科技 巨头，要么布局 CoreWeave 这类高负债的人工智能数据中心企业 —— 这类标的的投资风险堪称极高。 不过，即便在 Anthropic、OpenAI 等企业正式 IPO 之前，散户直接投资纯人工智能企业的渠道已开始出 现。嘉信理财（Charles Schwab）去年年底收购了私募股权交易平台 Forge Global，该平台允许散户投 资者购买私营企业的 ...

Artificial intelligence is the greatest investment opportunity of our lifetime. The time to invest in groundbreaking AI is now, and this stock is a steal! AI is eating the world—and the machines behind it are ravenous. Each ChatGPT query, each model update, each robotic breakthrough consumes massive amounts of energy. In fact, AI is already pushing global power grids to the brink. Wall Street is pouring hundreds of billions into artificial intelligence—training smarter chatbots, automating industries, and b ...

Core Insights - The article highlights the emergence of "Physical AI" as a national strategic core productivity in China's technology industry, driven by the integration of artificial intelligence and humanoid robotics [1] - The company Wuyi Vision (6651.HK) is positioned as a crucial player in the Physical AI ecosystem, leveraging its self-developed technology and strategic partnerships to support this transformation [1] Group 1: Technology and Innovation - The core technology of Physical AI focuses on overcoming the Sim-to-Real conversion bottleneck, enabling low-cost, large-scale training and validation of AI models in virtual environments [2] - Wuyi Vision has developed the 51Sim platform, which provides a high-fidelity Sim-to-Real training environment, establishing a significant technological barrier comparable to NVIDIA's Omniverse and Cosmos platforms [2] Group 2: Strategic Partnerships and Ecosystem - Wuyi Vision has created a comprehensive Physical AI ecosystem with a full chain from synthetic data to simulation training platforms, successfully implementing benchmark cases in various sectors such as smart driving and smart factories [3] - The company's shareholder structure includes prominent players like Moore Threads and SenseTime, which enhances its capabilities in computational power and visual algorithms, solidifying its position as a foundational infrastructure provider in the Physical AI domain [3] Group 3: Market Position and Valuation - Wuyi Vision has achieved a leading position in China's digital twin solutions market, with projected revenues exceeding 250 million HKD in 2024, making it the first company in the industry to reach this scale [4] - The current market valuation of Wuyi Vision at 18 billion HKD presents a compelling value proposition compared to global AI leaders, indicating potential for significant value re-evaluation amid favorable policy and industry dynamics [4]

Core Insights - The report from the Beijing Zhiyuan Artificial Intelligence Research Institute outlines the key trends in AI technology for 2026, indicating a significant shift from language models to a deeper understanding and modeling of the physical world [1][14] Group 1: AI Technology Trends - Trend 1: The consensus in the industry is shifting towards multi-modal world models that understand physical laws, moving from "predicting the next word" to "predicting the next state of the world" with Next-State Prediction (NSP) as a new paradigm [3][14] - Trend 2: Embodied intelligence is transitioning from laboratory demonstrations to real-world industrial applications, with humanoid robots expected to break into actual industrial and service scenarios by 2026 [4][14] - Trend 3: Multi-agent systems are becoming crucial for solving complex problems, with standardized communication protocols like MCP and A2A emerging, allowing agents to collaborate effectively [5][14] - Trend 4: AI is evolving from a supportive tool to an autonomous researcher, termed "AI Scientist," which will significantly accelerate the development of new materials and drugs [6][14] - Trend 5: The new "BAT" (Baidu, Alibaba, Tencent) landscape is forming in the AI era, with major players competing for dominance in consumer AI applications through integrated services [7][14] - Trend 6: Enterprise AI applications are entering a "trough of disillusionment" due to data and cost issues, but a recovery is expected in the second half of 2026 as data governance and toolchains mature [8][14] - Trend 7: The rise of synthetic data is crucial for model training, especially in fields like autonomous driving and robotics, as high-quality real data becomes scarce [9][14] - Trend 8: Optimization of inference remains a key focus, with continuous improvements in algorithms and hardware reducing costs and enhancing efficiency [10][14] - Trend 9: The development of an open-source compiler ecosystem is essential for breaking the monopoly on computing power and addressing supply risks [11][14] - Trend 10: AI security is evolving from "hallucinations" to more subtle "systemic deception," necessitating robust mechanisms for understanding and mitigating risks [12][14] Group 2: Strategic Implications - The transition to understanding physical laws through world models and NSP is seen as a strategic high ground for leading model vendors [14] - The shift towards embodied and social intelligence indicates a move from software to physical entities, with humanoid robots entering real production environments [14] - The emergence of a dual-track application model in AI, with a focus on both consumer and enterprise sectors, is expected to yield measurable commercial value [14]

Group 1 - MiniMax Group Inc., a Chinese generative AI startup, is set to go public in Hong Kong with strong backing from top global long-term funds and sovereign wealth funds [1][4] - The IPO is priced at HKD 165 per share, with 29.2 million shares issued, raising a total of HKD 4.8 billion (approximately USD 619 million), indicating strong market interest [1][2] - The subscription rate for MiniMax's shares exceeded 70 times among institutional investors, reflecting robust demand for this company viewed as a challenger to OpenAI [1][4] Group 2 - MiniMax is scheduled to begin trading in Hong Kong this Friday, amidst a wave of significant AI tech company listings in the region [2] - The performance of MiniMax will be a key indicator for investors assessing whether Chinese AI firms can effectively compete with their American counterparts [2][5] - MiniMax and its competitor, Zhizhu, represent a pragmatic development model in China's AI sector, demonstrating higher capital efficiency compared to U.S. firms like OpenAI [5]

事关Manus被收购一事，商务部发声！ 1月8日，在商务部例行新闻发布会上，新闻发言人何亚东在回应有关审查Meta收购人工智能平台Manus 的提问时说，中国政府一贯支持企业依法依规开展互利共赢的跨国经营与国际技术合作。需要说明的 是，企业从事对外投资、技术出口、数据出境、跨境并购等活动，须符合中国法律法规，履行法定程 序。商务部将会同相关部门对此项收购与出口管制、技术进出口、对外投资等相关法律法规的一致性开 展评估调查。 交易金额或在40亿—50亿美元 在去年3月份，由武汉创业公司"蝴蝶效应"研发的智能体Manus曾引起科技圈轰动。 3月6日凌晨，"蝴蝶效应"研发的全球首款通用型AI Agent Manus正式上线内测，凭借"独立思考—规划 —执行"的全链路闭环能力引爆科技圈。官网因访问量暴增一度瘫痪，二手交易平台上的内测邀请码更 被炒至5万元天价，创下AI行业新纪录。 在2025年年末，市场传Manus被Meta收购的消息，据《晚点LatePost》报道，此次Meta收购Manus的费 用为数十亿美元，也有业内人士估计，此次交易金额或在40亿—50亿美元。 12月30日，硅谷科技巨头Meta突然宣布"Ma ...

谁能想到，AI界最权威的大模型排行榜，竟然是个彻头彻尾的骗局？ 最近，2025年底的一篇名为《LMArena is a cancer on AI》的文章被翻了出来。 登上了Hacker News的首页，引起轩然大波！ 炸裂的是，这篇文章直接把LMArena——这个被无数研究者奉为圭臬的评测平台——钉在了耻辱柱上，称其为AI发展的「癌症」。 从金标准到毒瘤 所以，LMArena究竟是何方神圣？ 先说说背景。 LMArena（也叫LMSYS Chatbot Arena）是由加州大学伯克利分校、卡内基梅隆大学等顶尖学府的研究者于2023年创建的大模型评测平台。 | 图 Text | | | 1 8 days ago | WebDev | | | 1 9 days ago | | --- | --- | --- | --- | --- | --- | --- | --- | | Rank 14 | Model 11 | Score J | Votes 1 | Rank 11 | Model 1J | Score ↓ 0 | Votes 11 | | 1 | G gemini-3-pro | 1490 | 21,938 ...

Meta收购Manus，或许还未到尘埃落定之际。 2026年1月8日，就在外界以为Meta收购Manus一事已尘埃落定之际。 中国商务部在例行新闻发布会上的一番表态，为这笔备受瞩目、金额达数十亿美元的交易增添了新的不确定性。 据商务部新闻发言人何亚东透露，商务部将会同相关部门对此项收购与出口管制、技术进出口、对外投资等相关法律法规的一致性开展评估调查。 消息链接：商务部回应审查Meta收购Manus 这意味着，这笔被视为AI领域里程碑式的收购，或许依然处于「悬而未决」的状态。 商务部回应：评估调查正在进行 商务部的回应措辞审慎。 何亚东表示，中国政府一贯支持企业依法依规开展互利共赢的跨国经营与国际技术合作，但同时强调，企业从事对外投资、技术出口、数据出境、跨境并 购等活动，须符合中国法律法规，履行法定程序。 值得注意的是，商务部使用的措辞是「评估调查」，而非「正式调查」。 通俗解释一下，就是中国有一份「技术出口清单」，把技术分成三类： 这一表述存在解读空间：既可能是常规的合规审查，也可能升级为更深入的调查程序。 商务部回应涉及的法律法规解读 商务部在回应Manus收购案时，提到了「出口管制、技术进出口、对外投 ...

美国科技巨头Meta，要斥资140亿元人民币，收购中国AI初创公司Manus的事，有可能发生变故。 2025年3月，Manus以"全球首款通用Agent"的身份，带来行业狂热，之后陷入"套壳""不可控"的质疑声浪，再到4月完成7500万美元融资、估值逼近5亿美 元，直到被Meta看中 。 1月8日，商务部新闻发言人何亚东，在回应有关审查Meta收购Manus的提问时说，中国政府一贯支持企业依法依规开展互利共赢的跨国经营与国际技术合 作。 值得一提的是，Manus一开始就瞄准了全球化。2025年7月，在爆火4个月后，Manus将总部搬到了新加坡，并裁掉了国内七成团队。 同时，企业从事对外投资、技术出口、数据出境、跨境并购等活动，须符合中国法律法规，履行法定程序。商务部将会同相关部门对此项收购与出口管制、 技术进出口、对外投资等相关法律法规的一致性开展评估调查。 目前看来，这一收购，有更复杂的情况，可能通向不同的结果。 去年12月30日，Meta宣布完成对Manus的收购。这场由CEO扎克伯格亲自操盘的谈判仅用十余天敲定，交易对价超过20亿美元（约合人民币140亿元），跻 身Meta史上第三大并购案。若收购完成， ...