Core Viewpoint - A recent study published on GitHub has sparked significant discussion in the industry, suggesting that Huawei's Pangu Pro MoE model and Alibaba's Qwen-2.514B model exhibit "astonishing similarities" in their parameter structures [1] Group 1: Model Comparison - The study found that the average correlation in attention parameter distribution between Pangu Pro MoE and Qwen-2.514B is as high as 0.927, which is significantly above the normal range observed in other model comparisons [1] - This high correlation has led to speculation among netizens that Pangu Pro MoE may have engaged in plagiarism [1] Group 2: Responses and Reactions - The Pangu Pro MoE team has responded on GitHub, denying the plagiarism allegations and asserting that the author's evaluation method is unscientific [1] - As of the time of reporting, Huawei has not provided an official comment on the matter [1]

Core Viewpoint - The article discusses reliable channels for finding and collaborating with influencers on Douyin, emphasizing the importance of understanding the purpose and budget for effective partnerships [2][11]. Group 1: Influencer Collaboration Methods - Common collaboration methods include: - Voice-over promotion: Influencers introduce products/services in videos, emphasizing trust [3] - Live streaming sales: Influencers sell products during live sessions, earning commissions based on sales [3] - Short video links: Influencers post short videos with shopping links [3] - Content integration: Natural mentions of products in regular videos for brand exposure [3][4]. Group 2: Reliable Channels for Finding Influencers - 1. **Douyin's Official Influencer Platform**: A structured platform with influencer quotes, cases, follower counts, and category classifications, suitable for businesses with sufficient budgets and operational teams [5]. - 2. **Third-party Influencer Resource Platforms**: Various platforms collect influencer data, quotes, and collaboration channels, ideal for small businesses or startups [6]. - 3. **MCN Agencies/Service Providers**: Directly contacting MCN agencies can be more efficient for finding multiple influencers in specific categories [7]. - 4. **Building Private Influencer Networks**: Experienced individuals may create their own groups of willing influencers, offering flexibility and lower costs [8]. - 5. **Content Platforms and Comment Insights**: Engaging with influencers through comments or direct messages on platforms like Xiaohongshu/Douyin can uncover collaboration opportunities [10]. Group 3: Collaboration Recommendations - It is crucial to focus on genuine conversions rather than merely increasing visibility, especially for small projects [11]. - Key recommendations include: - Assessing not just follower count but also engagement rates [12]. - Signing simple agreements before collaboration, detailing publication times, content formats, and payment terms [12]. - Starting with small orders for testing before scaling up [12]. - Monitoring sales data to ensure effective conversion from views to sales [12].

| | 31 | 7月5日 | 六 | 17:00 | 徐州市 vs 南通市 | 徐州奥体中心体育场 | | --- | --- | --- | --- | --- | --- | --- | | 賞 | 32 | 7月5日 | 六 | 19:00 | 扬州市 vs 无锡市 | 扬州体育公园体育场 | | | 33 | 7月5日 | 六 | 19:30 | 南京市 vs 苏州市 | 南京奥体中心体育场 | | 6 | 34 | 7月6日 | 日 | 19:30 | 镇江市 vs 泰州市 | 镇江市体育会展中心体育场 | | 轮 | 35 | 7月6日 | 日 | 19:30 | 淮安市 vs 常州市 | 淮安市体育中心体育场 | | | 36 | 7月6日 | 日 | 19:30 | 宿迁市 vs 连云港市 | 宿迁市奥体中心体育场 | 在营销战场，爆火的苏超已经赢麻了，不仅夺去了太平洋彼岸正在上演的"世俱杯"的所有光环，赞助商也从刚开始的 6家 已经增至 28家，听说已经达到 了中超的3倍。 本周六（7月5日），"苏超"即将迎来南京队和苏州队的"世纪之战"！ | | 電電子 | | 日前之 | | 民元名 ...

" 出海就是创业2.0，重资产投入必须要坚持长期主义 。 " 作者丨 席星 吴优 编辑丨 覃倩雯 28年前，海尔在菲律宾建立了海外第一家工厂，成为制造业品牌出海的首个里程碑。当时，团队中有人担 忧:"咱在人家地盘上建厂，能行得通吗？"创始人张瑞敏那句"怕什么！咱的产品过硬"的豪言，不仅成就 了一段中国企业出海的成功典范，更象征着那个充满机遇的黄金时代。 10年前，海信集团以2370万美元收购"液晶之父"夏普在墨西哥工厂的全部股权及资产，获得夏普电视美 洲地区品牌使用权和所有渠道资源。在墨西哥开工生产，相较从中国发货到美洲，节省了大量时间。这一 时期出海企业在当地经营上各种"水土不服"，他们就另辟蹊径，通过跨国并购的方式，加快打入海外市 场。 7年前，拼多多、阿里巴巴、字节跳动等大批电商平台开始探索海外市场，在全球建设分拨中心、物流枢 纽、跨境仓库。干劲十足的中国电商企业们让平静已久的海外市场开始暗流涌动，迎接他们的不仅仅是一 片蓝海，还有来自本土企业的凝视与反击，以及风雨飘摇的国际市场。 发展至今，中企已然经历了三次出海热潮。这三个出海案例，犹如一面镜子，折射的不仅仅是国际商业环 境的变化，更是中国企业在不同 ...

Core Viewpoint - Alibaba's current "Cloud + AI" strategy focuses on becoming a "water seller," providing computing power and AI resources to other clients, which allows it to avoid addressing specific AI commercialization issues [1][16]. Financial Performance - In May 2025, Alibaba reported a revenue of 996.347 billion yuan for the fiscal year 2025, a year-on-year increase of 6%, and a net profit of 125.976 billion yuan, a significant year-on-year surge of 77%, marking a historical high [2]. - The CFO highlighted significant progress in enhancing the competitiveness of e-commerce and cloud businesses, with Taobao and Tmall achieving steady growth [2]. E-commerce Strategy - Alibaba's e-commerce sector faced pressure due to the decline of mobile internet traffic and competition from Pinduoduo, leading to concerns about its business moat [2]. - The company has shifted focus back to users, moving away from extreme price competition, and is now emphasizing quality and operational efficiency [6][4]. - The Taobao platform's revenue for the fiscal year 2025 reached 449.827 billion yuan, with a year-on-year growth of 3.4% [6]. AI and Cloud Strategy - Alibaba is investing heavily in AI, with plans to invest over 380 billion yuan in cloud and AI hardware infrastructure over the next three years [15]. - The cloud computing segment generated revenue of 118.028 billion yuan, reflecting an 11% year-on-year increase, driven by soaring AI demand [13]. - The company has released over 200 open-source models, with global downloads exceeding 300 million, establishing a significant presence in the AI space [13]. Instant Retail Development - The instant retail market in China is rapidly growing, with a market size of 650 billion yuan in 2023, showing a year-on-year growth of 28.89% [11]. - Alibaba has integrated Ele.me into its e-commerce division to capitalize on the instant retail trend, launching "Taobao Flash Purchase" to leverage its vast user base [12][8]. - The daily order volume for Taobao Flash Purchase exceeded 6 million, indicating strong market penetration [12]. Challenges and Future Outlook - Despite the promising financial results, Alibaba faces challenges in achieving profitability in its local lifestyle business, which reported an adjusted EBITA loss of 3.689 billion yuan for the fiscal year 2025 [12]. - The company needs to effectively integrate its new business models with its existing e-commerce operations to create synergies and enhance overall value [16].

以下文章来源于AI产品榜 ，作者李榜主 AI产品榜 . AI产品榜 aicpb.com 按月发布AI产品榜单。AI产品榜大会，是你必参的会。 发起人：李榜主 wx：QBB2378 第11期 AI产品榜·应用榜(APP)。 第11期 AI产品榜·应用榜(APP) （2025年06月）由AI产品榜、36kr、硅星人、沃垠AI、小熊跑的快联名发布。 AI产品榜：全球影响力AI产品榜单AICPB：AI Champion Product Board AI产品榜被数百家国内外顶尖媒体广泛引用，包括：TheInformation、路透社、36kr、中国新闻周刊、中国基金报、腾讯科技、雪球、南华早报、凤凰网科 技、央广网、财联社等。 还被誉为"互联网女皇"的硅谷传奇投资人Mary Meeker写进了AI趋势报告。以及全球领先的战略咨询公司罗兰贝格(Roland Berger)等国际权威机构，都引用 AI产品榜的数据。 这标志着AI产品榜已具备全球影响力，并获得了国际权威的认可。 AI产品榜 2025年06月榜，本文里包含9个AI榜单。 2025年化订阅收入营收增长排名前五是：聊天机器人ChatGPT13.7亿增速10.08% ...

Group 1: Core Insights - AI is reshaping the advertising industry at an unprecedented pace, acting as an engine for a new revolution in the field [1] - Goldman Sachs predicts that AI will disrupt a global advertising profit pool of approximately $470 billion in the coming years [1][2] - The transformation encompasses various aspects including ad placement, content creation, audience targeting, and creative production [1] Group 2: AI's Impact on Advertising Profit Pool - AI is expected to accelerate the shift of traditional advertising budgets towards more efficient and measurable digital channels, representing a $170 billion opportunity [2][3] - The penetration rate of digital advertising has increased from 40.8% in 2017 to an estimated 69% by 2024, with an annual increase of about 4 percentage points [2] - Generative AI is projected to save $114 billion in creative production costs by replacing expensive and time-consuming creative development processes [3] - Automation platforms are challenging the core value of traditional advertising agencies, with a potential impact of $161 billion on their annual revenue [3] - AI-driven platforms are reducing the need for third-party advertising technology intermediaries, potentially squeezing about $25 billion from their profit margins [3] Group 3: Leading AI Advertising Products - Google's Performance Max and Meta's Advantage+ are recognized as the most successful integrated AI advertising products, allowing advertisers to automate cross-channel ad decisions and optimizations [4][5] - The adoption rate of Performance Max among advertisers in the U.S. surged from 2% in Q4 2021 to 59% by Q4 2024, accounting for 46% of Google's total ad spending [5] - Meta's Advantage+ saw a similar growth, with adoption rising from 2% in Q1 2023 to 36% by Q4 2024 [5] Group 4: Chinese Players in AI Advertising - Chinese tech giants like ByteDance, Tencent, and Alibaba are heavily investing in AI to lead the next generation of advertising paradigms [6] - ByteDance is enhancing its advertising creative production process with its "Instant Creation AI" platform, significantly reducing the time required to generate video and graphic materials [7][8] - Tencent's "Miao Si" platform leverages its self-developed AI model to provide various creative generation tools, improving efficiency by hundreds of times compared to traditional methods [11][12] - Alibaba's "Wanshang Laboratory" offers generative AI products that allow merchants to create high-quality advertising materials quickly, improving production efficiency by five times [16][17] Group 5: Overall Industry Transformation - The integration of AI in advertising is leading to more efficient and precise ad placements, while also enhancing the creativity and reducing costs of ad content production [18] - The value distribution in the advertising industry is being reshaped, with platform-based companies that possess data and technological advantages capturing more profits [18] - Advertisers and consumers are expected to benefit from higher ROI and more personalized ad experiences, respectively [18]

Group 1: Key Trends in AI Models - The article highlights various AI models such as Grok 4 by xAI, DeepSeek-R2 by DeepSeek, and GLM-4.1V-Thinking by Zhizhu, showcasing advancements in AI technology [2] - Notable models include Omni-Infer by Huawei, PEVA world model by LeCun team, and Pangu open-source model by Huawei, indicating a competitive landscape in AI model development [2] - Major companies like Google and Tencent are also developing models such as Gemma 3n and Hunyuan-A13B, respectively, reflecting the ongoing innovation in the AI sector [2] Group 2: AI Applications - The article lists various AI applications, including AI game engines by Google and NVIDIA, and Gemini for Education by Google, demonstrating the diverse use cases of AI technology [2][3] - Other applications mentioned are MAI-DxO by Microsoft and AI customization services by OpenAI, indicating a trend towards personalized AI solutions [3] - The introduction of AI-powered tools like GitHub Copilot Chat and document summarization upgrades by Tencent Yuanbao highlights the growing integration of AI in everyday tasks [3] Group 3: Industry Insights and Opinions - The article discusses the impact of AI on employment as noted by the World Economic Forum, suggesting significant changes in job markets due to AI advancements [3] - Perspectives on AI writing influence from The New Yorker and strategic paths from Amazon provide insights into how AI is reshaping industries [3] - The mention of AI economic experiments by Anthropic indicates a focus on understanding the economic implications of AI technologies [3] Group 4: Events and Developments - Key events include the poaching of Claude by Anysphere and new AI crawler regulations by Cloudflare, reflecting the competitive dynamics in the AI industry [4] - The establishment of a superintelligence lab by Meta signifies a push towards advanced AI research and development [4] - The article also notes the talent acquisition efforts by Meta targeting OpenAI, highlighting the ongoing race for top AI talent [4]

曝光量破16.1亿、支付27亿＋——抖音生活服务与青岛市商务局联合举办的"浪漫青岛"，通过"政府扶持+商家合作＋内容营销+消费券加码"的 组合拳，将城市文化符号转化为消费动能。从线上话题引爆到线下商家增收，抖音生活服务以全链路运营实现"流量变现"与"留量沉淀"的双重目 标。 抖音生活服务通过「宝藏海岸线」和「浪漫青岛」的双IP联动，深度挖掘青岛独特的海洋文化基因与城市文化基因。通过整合政府资源、平台流 量、商家供给与用户共创，构建"文化场景化-场景内容化-内容拉动消费"的完整闭环，实现城市品牌价值提升与区域消费升级的共同增长。 政企联动打造「浪漫青岛」IP，多维资源整合激活城市浪漫经济 这个夏天，青岛的浪漫被重新定义。「浪漫青岛」是抖音生活服务通过深度挖掘青岛城市文化基因，依托城市特色场景而打造的一场长线城市营 销IP。 青岛市商务局为本次活动提供政策支持，抖音生活服务整合青岛本地餐厅、旅游景点等城市特色资源，推出"三条打卡路线"与"9家看海首选 店"等浪漫攻略为来到青岛的游客打造全方位快乐体验，带动城市搜索热度增长18%；发放的"浪漫惊喜劵包"覆盖餐饮、酒店民宿等多种消费场 景，4月25日-6月30日期间， ...

协同办公赛道的生死竞速，在大模型的助推下进入了决赛。 玩家还是那老三位： 借道DeepSeek卷起AI一体机的钉钉、带着全新AI知识库产品的飞书，以及拥有最强私域生态，将AI能力定 制化嵌入千行百业的企业微信。 数字化办公时代，小到几十KB的文档，大到公司组织架构、供应链降本，都要通过协同办公应用来实现。三大巨头 谁能当好AI"卖铲人"，谁就能率先破解行业的商业化难题，乃至为集团层面的AI战略拿下桥头堡。 01 AI办公"三国杀"：看着相似，侧重不同 早在2023年，协同办公三巨头就接连开启大模型之路。虽然三大产品的功能属性看起来高度同质化，但是在AI的"炼 金术"加持下，三者的产品赋能模式已经转向不同弯道。 背靠字节的飞书，定位像是知无不言的"军师"。 全新AI产品飞书知识问答的上线，更是佐证了这一点。作为一款基于企业知识的专属AI问答工具，飞书知识问答不再 需要切换页面使用，而是直接融入飞书的应用侧边栏，与现有产品功能全面耦合。 产品尝试通过自然语言问答的形式，向企业输出AI能力。虽然产品界面与ChatGPT、豆包类似，但飞书知识问答的发 展目标却并非通用对话，而是倾向于帮企业"拆墙"，完成内外部的专业知 ...