Core Viewpoint - The article provides a detailed guide on configuring the Clawdbot model on Macmini, highlighting common issues and solutions during the setup process. Configuration Process - The preferred method for configuration is using the command `openclaw configure`, which resolves most issues [6][7]. - During the configuration, users are prompted to select between local or remote setup, choose the model, and input their API Key [9]. Model Selection - There are specific selections for models: for Minimax M2.1, select Minimax; for Kimi K2.5, select moonshot AI [11][12]. - After selecting a model, users should navigate through options using the arrow keys to find the highlighted selection [13]. - Kimi has a coding plan option, while Minimax does not, even if the user has a coding plan membership [14]. Domestic and International Versions - A critical point is the distinction between domestic and international versions of Minimax; users must select 'cn' for domestic coding plan members and the version without 'cn' for overseas members [16]. - Incorrect selections can lead to configuration issues, which can be rectified by manually editing the configuration file [17]. Configuration File Editing - The configuration file is located at `/Users/your_username/.openclaw/openclaw.json`, where users can modify the `baseURL` [18]. - The correct URLs are: domestic version - `api.minimaxi.com`, international version - `api.minimax.io` [23]. Model Switching - After configuration, switching models is straightforward using the command `/model` in the TUI interface, which is initiated with `openclaw tui` [27]. - It is advisable to open a new window with the `/new` command before switching models to avoid issues [29]. Output Issues - The "no output" problem may occur after switching models, indicating that the output is directed to another environment rather than a configuration failure [30]. - Users should check other environments, such as web platforms, to confirm successful configuration [31]. Supported Models - The Clawdbot currently supports three major domestic models, all of which have been successfully configured: Kimi (domestic version), Minimax (international version), and GLM (international version) [34]. Summary of Configuration Steps - The core steps for configuring Clawdbot models are: use `openclaw configure`, manually edit the `baseURL` if necessary, and switch models using the `/model` command [37].

Core Viewpoint - Investment in AI is considered the most certain opportunity for the next twenty years in China, as highlighted by Qiming Venture Partners [3][13]. Group 1: Investment Achievements - Qiming Venture Partners has invested over 12 billion RMB in more than 100 AI projects since 2013, marking a significant presence in the AI sector [5]. - The firm has witnessed a series of IPOs in the AI field, including five notable companies in the past seven months, indicating a solid harvest period after years of strategic investment [3][6]. - Key IPOs include Yunzhisheng, which went public in June 2025, and Wallen Technology, which became the first GPU stock on the Hong Kong Stock Exchange in January 2026 [6][9]. Group 2: Investment Philosophy - Qiming's investment philosophy is encapsulated in the concept of "half a step faster," allowing the firm to identify and invest in key technological and market inflection points before they become mainstream [11][12]. - The firm emphasizes the importance of understanding both the disruptive potential of technology and the timing of market demand to make informed investment decisions [11][12]. Group 3: Future Outlook - Qiming Venture Partners believes that the AI industry in China is still in its early stages, with significant growth potential as applications begin to emerge and costs decrease [13][14]. - The firm is shifting its focus towards application layers in AI, anticipating a diverse range of native applications and super platforms to emerge in various sectors, particularly in healthcare [14].

专题：为中国经济点赞——企业家之夜2025盛典 "为中国经济点赞——企业家之夜"于1月29日在北京举行。智谱董事长刘德兵出席接受致敬。IBM大中 华区董事长、总经理陈旭东，中信出版集团董事长陈炜为其见证荣誉。 这是一群不畏艰难、敢于"摸高"的探索者，智谱在人工智能基础研究与关键技术上付出非凡努力，积淀 深厚。在技术路线的十字路口，他们摒弃简单的跟随策略，选择了更具挑战的自主研发道路。从开源模 型在国际平台多次登顶，到技术成果服务全球开发者与企业，智谱用坚实的技术足迹证明，中国的AI 创新有能力定义前沿、参与全球竞合。 陈旭东表示，他第一个用的大模型就是智谱，是中国第一个面向市场的大模型，希望也祝福智谱在未来 的道路上能够取得更大的成绩。 陈炜表示，希望在新的科技浪潮中永远有中国最优秀的创业者和中国最优秀的科技企业家。 刘德兵发表感言时表示，智谱从清华的实验室出发，走到今天，真正从产业走向市场，背后是一群长期 持续坚持投入的人。 他谈到，让机器像人一样思考，是智谱团队创立第一天起就选择的方向，是智谱人持之以恒的愿景目 标。 "智谱的Z是字母表中的最后一个字，代表了终极境地。我们希望在AGI的探索历程上能够走到智 ...

专题：为中国经济点赞——企业家之夜2025盛典 "为中国经济点赞——企业家之夜"于1月29日在北京举行。智谱董事长刘德兵出席接受致敬。IBM大中 华区董事长、总经理陈旭东，中信出版集团董事长陈炜为其见证荣誉。 致敬词： 这是一群不畏艰难、敢于"摸高"的探索者，智谱在人工智能基础研究与关键技术上付出非凡努力，积淀 深厚。在技术路线的十字路口，他们摒弃简单的跟随策略，选择了更具挑战的自主研发道路。从开源模 型在国际平台多次登顶，到技术成果服务全球开发者与企业，智谱用坚实的技术足迹证明，中国的AI 创新有能力定义前沿、参与全球竞合。 陈旭东表示，他第一个用的大模型就是智谱，是中国第一个面向市场的大模型，希望也祝福智谱在未来 的道路上能够取得更大的成绩。 陈炜表示，希望在新的科技浪潮中永远有中国最优秀的创业者和中国最优秀的科技企业家。 刘德兵发表感言时表示，智谱从清华的实验室出发，走到今天，真正从产业走向市场，背后是一群长期 持续坚持投入的人。 他谈到，让机器像人一样思考，是智谱团队创立第一天起就选择的方向，是智谱人持之以恒的愿景目 标。 "智谱的Z是字母表中的最后一个字，代表了终极境地。我们希望在AGI的探索历程上 ...

专题：为中国经济点赞——企业家之夜2025盛典 陈炜表示，希望在新的科技浪潮中永远有中国最优秀的创业者和中国最优秀的科技企业家。 刘德兵发表感言时表示，智谱从清华的实验室出发，走到今天，真正到产业走向市场背后是一群长期持 续坚持投入的人。 他谈到，让机器像人一样思考，是智谱团队创立第一天起就选择的方向，是智谱人持之以恒的愿景目 标。 "智谱的Z是字母表中的最后一个字，代表了终极境地。我们希望在AGI的探索历程上能够走到智能的终 极境地。感谢团队的专业耐心和长期主义。"他说。 以下为刘德兵发言实录： "为中国经济点赞——企业家之夜"于1月29日在北京举行。智谱董事长刘德兵出席接受致敬。IBM大中 华区董事长、总经理陈旭东，中信出版集团董事长陈炜为其见证荣誉。 致敬词： 这是一群不畏艰难、敢于"摸高"的探索者，智谱在人工智能基础研究与关键技术上付出非凡努力，积淀 深厚。在技术路线的十字路口，他们摒弃简单的跟随策略，选择了更具挑战的自主研发道路。从开源模 型在国际平台多次登顶，到技术成果服务全球开发者与企业，智谱用坚实的技术足迹证明，中国的AI 创新有能力定义前沿、参与全球竞合。 陈旭东表示，他第一个用的大模型就是 ...

Core Viewpoint - The article emphasizes that Qiming Venture Partners has successfully invested in over 100 AI-related companies, with a total investment of approximately 12 billion RMB, marking a significant return on investment as the AI industry matures in China [5][6]. Investment Achievements - Qiming Venture Partners has seen a surge in IPOs in the AI sector, with three IPOs occurring within a short span from late 2025 to early 2026, and a total of five IPOs in the past seven months [3][4]. - The firm has strategically invested across the entire AI value chain, from infrastructure to application layers, demonstrating a comprehensive understanding of the industry's evolution [4][6]. Investment Philosophy - The investment philosophy of Qiming Venture Partners is encapsulated in the concept of "half a step ahead," allowing them to identify and capitalize on key technological and market inflection points before they become widely recognized [12][13]. - This approach requires a deep understanding of both the disruptive potential of technologies and the timing of market demand, enabling the firm to make decisive investments at critical moments [13][14]. Future Outlook - Qiming Venture Partners believes that AI represents the greatest certainty for investment in the next 20 years, with confidence that the Chinese AI industry is not in a bubble but rather at the brink of significant growth [16][18]. - The firm anticipates a shift towards application-layer investments as the AI technology stack matures, predicting a vibrant future for AI applications across various industries, particularly in healthcare [18][19].

Core Viewpoint - The listing of Zhipu marks a significant milestone for China's AI industry, being recognized as the first stock of a large model in the country, reflecting the culmination of three years of anticipation within the sector [2][15]. Company Background - Zhipu was founded in June 2019 by a team from Tsinghua University, focusing on natural language processing (NLP) and knowledge graphs, with initial funding of 40 million RMB [3]. - The company made a strategic decision to develop its own architecture, creating the General Language Model (GLM) instead of following the prevalent GPT and BERT paths [3][5]. Product Development - In August 2022, Zhipu open-sourced the GLM-130B model, which was recognized as the only Asian model in a major evaluation by Stanford University [5]. - Following the global success of ChatGPT, Zhipu released ChatGLM on March 14, 2023, alongside the open-sourcing of ChatGLM-6B, which became a popular tool for developers in China [6]. Market Position and Growth - By August 2023, Zhipu had entered a rapid growth phase, with model iterations occurring every three months and securing over 2.5 billion RMB in funding within the year [6][13]. - The GLM model was already operational in 12,000 enterprises globally, including nine of the top ten internet companies in China, as well as sectors like government, healthcare, and education [10]. Financial Performance - Despite rising revenues, Zhipu faces increasing R&D expenditures and significant losses, a common scenario among independent large model companies in Silicon Valley [13]. - The company’s financing before its IPO was substantial, with existing investors increasing their stakes and new strategic investors joining, indicating strong market confidence [13]. Future Outlook - The listing of Zhipu and its subsequent market performance will be closely scrutinized, as the company must navigate the challenges of maintaining growth and profitability in a competitive landscape [15][17].

Core Viewpoint - The listing of Zhipu marks a significant milestone in the Chinese AI industry, being recognized as the first stock of a large model company in China, with its market value exceeding 110 billion HKD shortly after its debut [5][16]. Company Background - Zhipu was founded in June 2019 by a team from Tsinghua University, focusing on natural language processing (NLP) and knowledge graphs, with initial funding of 40 million RMB [5][6]. - The company made a pivotal decision to develop its own architecture, the General Language Model (GLM), rather than following the popular GPT and BERT paths [6][8]. Technological Development - In August 2022, Zhipu open-sourced the GLM-130B model, which was a significant development just before the global popularity of ChatGPT [9]. - Following the release of ChatGPT, Zhipu launched ChatGLM and the smaller ChatGLM-6B model, which became popular among developers in China [9][10]. - By 2025, Zhipu's GLM model had advanced significantly, outperforming competitors in various benchmarks and gaining traction in the AI community [10][12]. Market Position and Adoption - Zhipu's products are integrated into over 12,000 enterprises globally, including major internet companies, government, healthcare, and education sectors, positioning it as a key AI supplier [12][14]. - The company is likened to a utility provider in the AI era, essential for businesses looking to adopt AI technologies [12]. Financial Performance and Future Outlook - Despite rising revenues, Zhipu faces increasing R&D expenditures and significant losses, a common trend among independent large model companies [14][17]. - The company has secured over 2.5 billion RMB in financing in 2023, indicating strong investor interest and support for its growth trajectory [14][16]. - The listing is seen as a rite of passage for the Chinese AI industry, but it also brings scrutiny regarding financial performance and market expectations moving forward [16][18].

Core Viewpoint - The article emphasizes that the release of DeepSeek R-1 marks a pivotal moment in the AI landscape, breaking down barriers in technology, application, and psychology, thus leading to a significant shift towards open-source AI in China and globally [3][12]. Group 1: DeepSeek Moment and Barrier Breakdown - The release of DeepSeek R-1 on January 20, 2025, is identified as a watershed moment that transformed the AI development landscape, lowering the barriers to technology and application [3][12]. - Prior to R-1, China's AI industry was predominantly focused on closed-source models, but R-1 changed this dynamic, making open-source a strategic choice for Chinese tech companies [6][12]. - R-1's significance lies not in being the strongest model but in its ability to reduce three critical barriers: 1. **Technical Barrier**: R-1 made advanced reasoning capabilities downloadable and adjustable, treating reasoning as a reusable module [8]. 2. **Adoption Barrier**: The MIT license allowed for rapid deployment in production environments, shifting discussions from model performance to deployment strategies [9]. 3. **Psychological Barrier**: The mindset shifted from "Can we do this?" to "How do we do this well?", leading to significant changes in decision-making among companies [10]. Group 2: Major Players and Strategic Restructuring - The article notes a substantial increase in open-source contributions from major players like Baidu, Alibaba, and Tencent, with Baidu's release volume on Hugging Face rising from zero to over 100 in 2025, and ByteDance and Tencent's contributions increasing by eight to nine times [15][13]. - The focus of competition has shifted from individual model performance to ecosystem development, with companies like Zhipu AI and Alibaba not only releasing model weights but also building engineering systems and ecosystem interfaces [13][14]. - The article highlights that the collective rise of Chinese AI players is driven by shared technological, economic, and regulatory pressures, leading to a competitive alignment among companies [17]. Group 3: Market Impact and Global Response - The article reveals that in the category of newly built models (less than one year old), Chinese models have surpassed those from any other country, including the U.S., in download volume [18]. - The global market's response to China's AI rise includes efforts from the U.S. and France to accelerate the release of open-source models to maintain competitiveness, although many startups and researchers globally are increasingly relying on Chinese-developed models [21][22]. - The article concludes that the world is reacting to this shift, sparking a new wave of open-source enthusiasm, with expectations for significant releases from both China and the U.S. in 2026, focusing on architectural trends and hardware choices [22].

Core Insights - The article discusses the significant impact of the release of DeepSeek R-1 on the global open-source AI ecosystem, marking a pivotal moment for China's AI development and its influence worldwide [1][3]. Group 1: Transformation of AI Landscape - The release of DeepSeek R-1 in January 2025 is identified as a watershed moment that lowered barriers to technology and application, leading to a shift from closed-source to open-source models in China [1][5]. - Major Chinese tech companies like Baidu, Alibaba, and Tencent, along with startups like Moonshot, have significantly increased their open-source investments, resulting in Chinese models surpassing U.S. models in download volume on Hugging Face [1][6]. Group 2: Breaking Down Barriers - DeepSeek R-1 effectively dismantled three critical barriers: technical, adoption, and psychological, transforming the perception of open-source from a tactical choice to a long-term strategy for Chinese tech companies [3][5]. - The article emphasizes that the focus of competition has shifted from individual model performance to ecosystem development, with companies now prioritizing engineering systems and application scenarios [6][10]. Group 3: Market Dynamics and Global Response - The article notes that the rise of Chinese AI models is not merely a result of collaboration but is driven by shared technological, economic, and regulatory pressures, leading to a competitive alignment among companies [8][11]. - Global reactions indicate a reliance on Chinese-developed models, with many startups and researchers defaulting to these models, highlighting the growing influence of Chinese AI in international markets [11].