7月8日，江苏省教育考试院发布2025年普通高校招生普通类本科提前批次投档线，其中，历史类北京大 学02专业组（再选科目思想政治）最低投档线高达664分，清华大学01专业组最低投档线为659分；物理 类北京大学04专业组最低投档线674分，清华大学03专业组（再选科目化学）最低投档线则高达680分。 除了备受关注的这两所高校，国防科技大学的部分专业组投档线直逼清华、北大。国防科技大学历史类 02专业组最低投档线达到了658分，物理类09专业组（再选科目化学）则达到了671分。 【1】北京市高招录取工作7月8日起分批次进行 7月9日，北京市教委发布消息，北京市高招录取工作于7月8日至8月1日分批次进行，考生要关注所报批 次的录取时间安排。参加不同批次（类型）录取的高校，分别执行不同批次（类型）录取最低控制分数 线。强基计划、综合评价招生等特殊类型招生可参照特殊类型招生控制分数线。 【2】2025年北京市中招各区分数段人数统计发布 7月9日，2025年北京市初中学业水平考试成绩查询系统开通，北京教育考试院公布了各区分数段人数统 计，考生可结合今年各校招生计划、本区排名，参考去年学校录取情况，合理填报志愿。 【3】 ...

Core Insights - The article highlights the significant scale and intelligence level achieved by Quark in providing college entrance examination services, serving over 40 million students and parents nationwide [1] - Quark generated more than 12 million "volunteer reports" and answered over 330 million questions related to volunteer filling, setting a new benchmark for the scale and smartness of college entrance examination services [1] Summary by Categories - **Service Scale** - Quark served over 40 million students and parents across the country [1] - Generated more than 12 million "volunteer reports" [1] - **Intelligence Level** - Answered over 330 million questions regarding volunteer filling [1] - Achieved a new high in the scale and intelligence of college entrance examination services [1]

张雪峰"寒门救星"的称号，可能要被一款AI应用抢走了。 7月1日，阿里巴巴AI旗舰应用夸克秀出自家高考"志愿报告"成绩单，其累计为考生和家长生成超1000万份专业级志愿报告。 一份份近万字的"志愿报告"都是夸克调用Agent生成，背后是由夸克高考志愿大模型与专业的高考知识库提供支持。夸克内部称，它具备接近专家水平的决 策能力。 T T ... BB 户 .. FY26年完基导演员, 必拿下I .. . . 夸跃龙门, 敢为成光! -> o in ryped and Parts 国份志愿 | CL r 14 4 日 i S > U 11:44 1 2 = 06 = 1 + 1 + els cer comment ( K number 作者 | 柴旭晨 编辑 | 刘宝丹 夸克方面向华尔街见闻表示，该Agent会通过多轮"工具调用+反思调整"的机制，动态优化志愿方案。例如，当考生表达"倾向留在省内（广州、深圳优 先）、不考虑偏远地区"时，模型会自动生成搜索指令，若优质选项受限，Agent还能主动反思扩展搜索范围，或在高层次高校（如985）上适度放开地域限 制，为考生争取冲一冲的机会。 此外，Agent具备处理复杂、 ...

Core Insights - The article discusses the increasing reliance on AI technology in the college admission process in China, particularly for high school students filling out their college applications after the national college entrance examination [1][6][11] - Major internet companies like Quark, Baidu, and Tencent are providing free AI-assisted services to help students and parents navigate the complex college application landscape, emphasizing the importance of information equity [5][13] Group 1: AI in College Admission - AI technology is bridging the information gap in college admissions, providing valuable insights and support to students, especially in rural areas where access to information is limited [6][7] - Quark has significantly increased its computational resources, reportedly by 100 times compared to the previous year, to handle the surge in demand for college application reports [3][4] - The AI tools developed by these companies can analyze vast amounts of data, including student preferences and academic performance, to generate tailored application suggestions [9][10] Group 2: Market Dynamics and User Engagement - Over the past seven years, Quark has served more than 120 million students and parents, with over 50% of users coming from third-tier cities and below, highlighting the demand for quality information in underdeveloped regions [7] - The article notes that AI tools can address 80% of standardized needs in the application process, but human experts remain essential for nuanced decision-making and emotional support [11][12] - The ongoing free services provided by these tech giants reflect a strategic move to build user loyalty and engagement within the young demographic of college applicants [13][14]

作为一款辅助高考志愿填报的神器，夸克最新"战报"出炉。 观察者网获取的最新数据显示，截至7月1日，阿里巴巴AI旗舰应用夸克已累计为考生和家长生成超1000万份专业级志愿报告。这些报告由今年推出的"志愿 报告"Agent生成，采用了具备"任务规划—执行—检查—反思"能力的深度研究技术。业内认为，这一成果已成为国内最大规模的深度研究技术应用。 | 11:15 > N | % 68 ul ull (98) 1 | 11:15 @ N | | | --- | --- | --- | --- | | ← | 猫冬的志愿报告-院校层次优先 「[ | | ← | | ① 依据陕西2025年招生计划、2024年录取分数线生成 | | | 核心填报策 | | 01 | 考生基本情况 | | 结合对考生情况 | | | | | 愿填报时可以】 | | 高考省份 | 高考科目 | | 焦、地域偏好亲 | | 原元 | 史/地/政 | | 01 院校选择 | | 高考分数 | 高考排名 | | 985、21 | | 607 分 | 1716 名 | | 核心患跷 | | | | | 锁定具有 | | | | | 重点选择 | | 命 ...

Core Viewpoint - The integration of AI technology in college entrance examination (Gaokao) application processes has become a significant highlight this year, with various education technology companies and internet giants launching AI-based application products and services [1][3]. Industry Overview - The paid scale of China's Gaokao application market was 950 million yuan in 2023, with nearly 90% of examinees willing to choose application services. The market is expected to grow to 1.09 billion yuan by 2025 [3]. - The rapid maturity of large model technology and increased user adoption have made the Gaokao application sector a competitive battleground, with nearly ten companies launching smart application products this year [3][4]. Product Analysis - AI application products can be categorized into three main types: 1. Data-driven products that integrate admission scores, rankings, and professional details to match users with "reach, stable, and fallback" options [4][6]. 2. Products based on large model technology that support user interaction and multi-turn dialogue to provide application suggestions [4][8]. 3. Platforms with personalized diagnostic systems that focus on individual needs, incorporating career assessments and generating professional inclinations [4][6]. Product Performance - The official platform, Sunshine Application Information Service System, is noted for its authoritative data and public service, providing intelligent filtering for applicants [6]. - Quark's "Smart Application" feature recommends schools and majors based on basic information and allows for personalized preferences [6][7]. - Other products like Baidu's AI Assistant and Homework Help offer similar functionalities, providing recommendations and admission probability predictions [7][8]. Challenges and Limitations - AI application products exhibit several shortcomings, including inaccurate ranking positioning, outdated data, and misleading information [1][3][9]. - Real-world testing revealed significant discrepancies between AI-generated rankings and actual data, leading to inappropriate school recommendations [12][13]. - The AI tools may struggle with new programs lacking historical data, potentially misleading users [22][23]. Expert Insights - Experts suggest that AI application tools should be viewed as "information filters" rather than decision-makers, emphasizing the importance of human verification of key data [21][23]. - The value of AI lies in its ability to process structured data, alleviating the workload of students and parents while allowing for a focus on individual needs [22][24].

输入省份、分数、科目、排名，填完性格测试，选好专业，智能体啪地甩出一份十几页的志愿报告。"冲稳保"档档清晰，排版整齐、术语遍 布，满满透着专业感，甚至细致到调剂建议、职业生涯规划...... 高考出分前一周，夸克"暖芒计划"高考公益活动落地湖南省永顺县第一中学。在这所偏远县城的中学，绝大多数学生家庭无力负担动辄大几千 甚至上万元的志愿填报服务，更遑论去外地参加高校宣讲会。许多乡村学生的父母教育水平有限，对高等教育体系知之甚少，根本无力指导报 考，只能完全依赖学校老师。"我们这里没有张雪峰，也请不起张雪峰。"这是现场600多位乡村考生和家长共同的心声。每每到报考季，面对一 个班的学生，一中班主任王菊香往往心有余而力不足。 而在18日的这场公益活动现场，手机屏幕上，一份过去要花几天甚至十几天查找和比对信息，需要耐心和记忆力才能完成的繁杂志愿分析，如 今只需一个提问。 2025年，全国高考报名人数为1335万人，虽比2024年的峰值略有回落，但仍是近十年里的第二高位；而今年本科招生计划预计仍维持在 490 万 左右。艾媒咨询最新报告显示，2025 年中国高报市场付费规模预计达10.9亿元，超九成考生愿借助专业服务规 ...

"OpenAI 最终会上市，我相信它将成为世界上最有价值的公司。"软银CEO孙正义表示。 软银对OpenAI的总投资将达到332亿美元 6月27日，软银CEO孙正义在软银集团的股东大会上表示，软银向OpenAI的总投资将达到4.8 万亿日元 （约合332亿美元）。"OpenAI 最终会上市，我相信它将成为世界上最有价值的公司。"孙正义表示。但 他也表示，投资这样一家公司"需要勇气"。孙正义还透露，软银曾想成为OpenAI的早期投资者，但输 给了微软。 点评:软银今年3月参与了对OpenAI的投资，有消息称，根据投资条款，如果OpenAI未能在今年12月31 日前重组为一家独立的营利性公司，软银对该公司的投资可能会减少100亿美元至200亿美元。此次孙正 义表态，表明软银仍有很强的意愿投资OpenAI。 马斯克宣布7月4日后发布Grok 4模型 6月27日，马斯克在X上宣布，将于7月4日后发布Grok 4。他透露，"和xAI团队通宵打磨Grok，进展不 错。下一代模型将被称为Grok 4，在独立日（7月4日）之后就发布。还需针对专业编程模型进行一次重 大调试。 " 点评:此前，马斯克曾多次预热Grok 3.5， ...

Core Insights - The number of candidates registered for the national college entrance examination (Gaokao) in 2025 has exceeded 13.35 million, marking a historical high, which presents unprecedented challenges for students and parents [1] - The implementation of new Gaokao reforms across 29 provinces has shifted the admissions model towards a more complex strategy involving "institutional major groups" or "major + institution," making the application process more about information and strategy rather than just scores [1] - The rapid development of technology and industry changes significantly influence students' choice of majors and future employment directions, highlighting the need for effective decision-making tools [1] Group 1: Volunteer Application Tools - The "Sunshine Volunteer" application, backed by official data from the Ministry of Education and universities, offers a comprehensive and practical interface for students to navigate the application process [2][3] - Users can receive personalized recommendations based on key metrics such as exam scores and rankings through features like "intelligent screening" and "major inclination assessment" [2][3] - Despite its advantages, users have reported issues with the system's recommendation accuracy and adaptability to new Gaokao rules, indicating areas for improvement [4] Group 2: High School Volunteer Tools - "Gaokao Paper Kite" is a lightweight application that allows users to search for information easily, providing a conversational interface for inquiries [5][8] - The application emphasizes a free and convenient approach, catering to users who need quick answers and initial guidance [9] - "Quark" offers a detailed input process for user preferences, enabling more precise recommendations based on individual goals and strategies [11][14] - "Quark" has a large user base, having served over 120 million candidates and parents, indicating its popularity and relevance in the market [24] Group 3: Paid Applications - "Youzhiyuan" provides advanced features such as AI-driven recommendations and risk analysis for college applications, enhancing user experience [35][39] - The application introduces a unique "major group purity" metric to help users minimize the risk of being assigned to less desirable majors [39] - "Reliable AI" claims a significant improvement in prediction accuracy for college admissions, utilizing extensive data analysis to enhance user decision-making [41][44] Group 4: Market Trends and User Needs - The increasing number of candidates and the complexity of new Gaokao reforms necessitate the continuous evolution of volunteer application tools to meet diverse user needs [24][47] - The tools range from free applications to paid services, catering to various levels of user requirements, from basic information to in-depth personalized guidance [47] - Ultimately, the effectiveness of these tools relies on the candidates' ability to integrate the information provided with their personal aspirations and circumstances [47]

Core Viewpoint - The rise of AI-powered college application tools is transforming the way students approach the college admission process, with major tech companies like Baidu, Alibaba, and Tencent launching free applications to assist students in filling out their college applications [1][2]. Group 1: AI College Application Tools - Major internet companies have introduced AI college application tools that provide personalized recommendations based on students' input, such as province, subject, and scores, marking a shift from traditional methods [2][3]. - The tools utilize large model technology to analyze admission data and offer tailored suggestions, enhancing the user experience compared to previous years [2][3]. - Some platforms have integrated personality tests to suggest suitable majors, although these recommendations are still basic and rely on simple matching [2][3]. Group 2: Business Strategy Behind Free Services - Despite claiming not to profit from these services, major companies embed these tools within their browsers to capture user traffic, indicating a strategic move to dominate the market [3][4]. - Data from these companies shows significant user engagement, with Baidu reporting over 95% of families using its service during the exam period, and QQ Browser claiming to have served 400 million users [3][4]. - The ultimate goal for these companies is to retain users and create future monetization opportunities through AI models or search services [3][4]. Group 3: Effectiveness and Concerns - There are notable discrepancies in the recommendations provided by different platforms, raising questions about the reliability of the algorithms used [4][5]. - The lack of transparency regarding the recommendation algorithms has led to confusion among users, as they receive conflicting advice [4][5]. - Experts suggest that while AI tools can provide valuable data analysis, they should not replace personal decision-making, and students should consider multiple factors when making their final choices [5].