Group 1 - The National Day box office for this year reached 1.765 billion, which is only 83.9% of last year's total of 2.105 billion, despite this year's holiday being one day longer [1] - The only notable drama during the National Day period was "Xu Wo Yao Yan," which averaged around 28 million views per episode, while other dramas struggled to exceed 10 million [1] - The film industry is experiencing a contraction, but there is a rising trend of "evil women" characters in recent productions, indicating a shift in narrative focus [2][3] Group 2 - The portrayal of "evil women" has evolved, with contemporary characters like those in "Bi Zheng Ming's Proof" and "Xu Wo Yao Yan" being more complex and driving the plot rather than serving as mere antagonists [4][5] - The character of Xu Yan in "Xu Wo Yao Yan" exemplifies this new archetype, as she prioritizes her desires and manipulates situations to her advantage, reflecting a shift in audience perception of morality [6][7] - The resurgence of "evil women" characters corresponds with a downturn in the film and television industry, as audiences seek relatable narratives amid a decline in traditional heroic storytelling [9][10]

西贝的公关操作简直离谱，软文煽情到离谱，虚构故事却完全脱离现实，企图转移预制菜舆论风暴，结 果变成全网吐槽"西贝文学"。不过这些"神文"里边还真藏着正确的公关逻辑，为什么这么说呢？文章里 又暴露出了西贝的团队有哪些问题呢？ ...

国庆出行人挤人，每年都要抢票、花高价还玩不好，国家早就鼓励错峰休假，但实际操作比调休还难。 动动枪团队试水了一次"错峰放假"，差点掉一层皮，才算明白了为啥"灵活调休"没法落实了。 ...

Group 1: Travel Experience - The journey from Hangzhou to Lianyungang, covering a distance of 565 kilometers, took significantly longer than usual, with 10 hours spent on the way there and 9 hours on the return trip, despite avoiding peak traffic [2][3][4] Group 2: Accidents and Driving Assistance - The primary reason for the extended travel time was the occurrence of multiple accidents, with at least six incidents encountered during the trip [4][5] - There was an increase in warnings related to "smart driving" on highways, indicating restrictions on the use of assisted driving due to road conditions and congestion [6][10] - The reliability of assisted driving systems remains questionable, as management appears to trust human drivers over artificial intelligence [10][11] Group 3: Charging and Operational Awareness - Charging was another significant factor contributing to the travel delays, with the experience of locating charging stations varying between trips [15][16] - Misunderstandings regarding charging types, such as the confusion between "fast charging" and "supercharging," highlight a lack of operational awareness among drivers and service providers [20][21][22] - The operational efficiency of charging stations could be improved by better signage and strategic placement of charging areas [22][25]

本文来自微信公众号：星海情报局 （ID：junwu2333），作者：星海老局，题图来自：AI生成 最近国庆假期，不少兄弟姐妹们都出门旅游了，想必有不少人也都闻过景区门口淀粉肠摊子上的油烟味——这东西神奇就神奇在：不管你去哪个城市旅 游，不论你是在北京的南锣鼓巷还是成都的宽窄巷子，不论你是在杭州的西子湖畔还是在咸阳的兵马俑博物馆门口，大概率都闻到过这种略带腥气的油烟 味道。 这玩意儿居然也能做到标准化，确实堪称是一大奇迹。 不过，这种全国统一的淀粉肠气味，其实也侧面反映出了许多地方文旅项目的通病——极为严重的同质化。 散发着油腥味的淀粉肠从来都不是单独出现的，它往往坐落在各种仿古街上，旁边立着一块"我在XX很想你"的路牌，以这个摊子为圆心，三十米范围内 总会有那么一两家汉服体验馆，三四个非遗摊子，当然也少不了各种卖冰箱贴、文玩、烤鱿鱼、臭豆腐的摊位。 AI生成的都已经变成这样了，可见刻板印象之深刻 最近的一年，老局我先后去过山西的大同、朔州、运城，河南的安阳、洛阳、三门峡，陕西的渭南、咸阳，甘肃的武威、张掖、玉门关、敦煌等等小城市 旅游。在我看来，大同华严寺门口的古街和安阳的北大街看不出本质差异，洛阳的十字街和 ...

Core Insights - The current education system is being torn between increasing "involution" and the disruptive impact of AI, exemplified by tools like ChatGPT, which can serve as both a "cheating tool" and a powerful learning aid [1][2] Education Crisis - The U.S. education system is facing a significant crisis, with K-12 student test scores reaching historic lows, as reported by the National Assessment of Educational Progress [6][7] - Nearly half of high school graduates are below basic levels in mathematics, and about one-third are below basic levels in reading, with average reading scores at an all-time low [7][8] AI in Education - AI is rapidly integrating into education, with students using tools like ChatGPT for various academic tasks, which raises concerns about academic integrity and the role of educators [9][10] - Major tech companies, including Google and Microsoft, are committing to support the integration of AI into classrooms, as highlighted by a recent executive order [11] Adaptive Threshold Learning (ATL) - ATL is proposed as a revolutionary educational model that personalizes learning by identifying each student's current capabilities and dynamically adjusting their learning paths [13][14] - The model emphasizes that mastery should be a constant, while time becomes a variable, allowing students to progress at their own pace [25][26] Role of Educators - In the ATL framework, teachers transition from knowledge transmitters to "coaches" who facilitate student growth and understanding, focusing on aspects that algorithms cannot replace [3][23] - Teachers will interpret system insights and design meaningful challenges, ensuring that education remains a human-centered process [23][30] Implementation Challenges - Implementing ATL in U.S. schools will require significant changes, as traditional methods may not suffice in addressing the current educational crisis [19][20] - There are concerns that AI-driven educational tools could exacerbate inequalities if not designed with equity in mind, potentially leading to a divide between students with access to resources and those without [30][31] Historical Context - The philosophy behind ATL draws from historical educational reformers like John Dewey, who advocated for experiential learning and adapting education to individual needs [34][40] - The goal of education should be to expand students' capabilities and understanding, rather than merely preparing them for standardized assessments [41][42]

Core Insights - The article discusses the concept of unsupervised learning in the brain, highlighting its significance in understanding how organisms, including humans, learn without external rewards or guidance [1][2][4]. Summary by Sections Unsupervised Learning as Brain Preparation - Unsupervised learning is not unique to humans; for instance, mice can form spatial memories without rewards when exploring new environments [2][3]. - A study conducted by scientists at the Howard Hughes Medical Institute utilized a controlled virtual reality environment to observe the neural changes in mice during unsupervised and supervised learning [3][4]. Neural Plasticity and Learning Pathways - Results indicated that both task-trained and unsupervised learning groups exhibited similar neural plasticity changes in the visual cortex, suggesting that neural plasticity may not rely solely on task feedback [4][5]. - The study revealed that unsupervised learning allows the brain to categorize and encode visual information efficiently, akin to pre-studying before formal tasks [5][6]. Visual and Spatial Plasticity - The research explored whether neural responses were sensitive to spatial positions or visual features, concluding that visual features significantly influenced unsupervised learning behavior [7][8]. - Mice demonstrated a capacity to ignore spatial configurations of textures, indicating a preference for visual feature similarity over spatial positioning [8]. Collaboration of Learning Types - The study suggests a division of labor in the brain, where unsupervised learning extracts features while supervised learning assigns meaning to those features [9][12]. - This dual learning approach may be crucial for rapid adaptation in complex environments [12]. Implications for Neuroscience and AI - The findings bridge neuroscience and artificial intelligence, challenging the traditional view that learning requires reinforcement signals [14]. - The study's insights into the brain's feature extraction capabilities could inform the design of more efficient AI models, reducing reliance on labeled data [14][15]. Future Research Directions - Several unresolved questions remain regarding the molecular basis of neural plasticity and the universality of these findings across species and cognitive levels [16][17]. - The potential age-related limitations of unsupervised learning abilities and their implications for cognitive development warrant further investigation [18]. Broader Insights on Learning - The article emphasizes the evolutionary significance of unsupervised learning as a survival mechanism, suggesting that over-reliance on reward-driven learning may hinder natural exploratory abilities [19][20].

Core Viewpoint - China is undergoing profound transformations in agriculture, characterized by a decrease in agricultural labor and an increase in capital investment, leading to a "de-densification" trend in agriculture and a rapid change in operational forms [1][2][3] Group 1: Agricultural Transformation - The reduction of agricultural labor and the influx of capital into rural areas are reshaping the agricultural landscape, resulting in a more dynamic urban-rural relationship [1][2] - Existing research has explored various aspects of capital flow into rural areas, focusing on land transfer mechanisms and the restructuring of rural industries [1][2][3] - The integration of capital into agriculture has not dismantled traditional social structures but has created a new order that blends modern and traditional elements [2][3] Group 2: Farmer Households as a Microcosm - Farmer households serve as the basic organizational unit of agricultural production and are crucial for understanding rural social dynamics [2][3] - Changes in farmer households reflect broader social transformations, with the interplay of production, family life, and social interactions being key to understanding these shifts [2][3][4] - The family-oriented culture in China influences how farmers adapt to changes brought about by capital influx and urban migration [4][5] Group 3: Capital Influx and Production Changes - The influx of capital into rural areas has led to significant changes in production methods and social interactions within farming communities [12][13] - Case studies from Yunnan Province illustrate how capital investment has altered traditional farming practices and labor dynamics [13][14] - The relationship between farmers and capital providers is often mediated by local social networks, highlighting the importance of interpersonal relationships in agricultural production [22][23] Group 4: Urban Migration and Family Dynamics - Urban migration has transformed the income sources of rural households, with many relying on stable incomes from urban jobs while maintaining ties to their rural roots [25][26][27] - The phenomenon of "hollow villages" is evident, with a significant portion of the labor force working outside their home villages, leading to changes in social structures and family dynamics [26][27][28] - Despite urban migration, rural communities continue to exist, with many families maintaining connections to their villages through seasonal returns and social obligations [31][32][33] Group 5: Social Interactions and Ethical Considerations - The social fabric of rural communities is evolving, with traditional forms of mutual aid being replaced by more structured labor relationships due to urban migration and capital influx [22][24] - Ethical considerations rooted in familial and community ties continue to influence how farmers engage with new economic opportunities and labor arrangements [22][24][25] - The balance between maintaining traditional social networks and adapting to new economic realities is a critical aspect of rural transformation [24][25][26]

Core Points - The article discusses the chaotic experience of visitors at the Saihanba National Forest Park during the National Day holiday, highlighting issues with traffic management and visitor safety [2][47]. - It emphasizes the lack of effective communication and support from the park's management during peak tourist times, leading to frustration among visitors [25][50]. Traffic Management Issues - The park experienced severe traffic congestion, with vehicles stuck for long periods due to a combination of high visitor numbers and reckless driving behavior, such as cars driving in the wrong direction [10][22]. - The road leading to the park is a narrow two-way lane, which exacerbated the situation as vehicles could not pass each other effectively [6][23]. - There were no traffic lights, electronic monitoring, or clear signage to manage the flow of vehicles, contributing to the chaos [49]. Visitor Experience - Visitors expressed despair and frustration as they were unable to reach their destination after hours of travel, ultimately deciding to turn back [13][45]. - The article notes that many visitors resorted to walking to seek help, as phone lines for park management were unresponsive during the crisis [27][30]. - The lack of accountability and visible staff presence during the incident left visitors feeling abandoned and unsafe [4][42]. Recommendations for Improvement - The article calls for better management practices during peak tourist seasons, including adequate staffing and improved communication channels for visitors [48][51]. - It suggests that the park should implement measures to ensure visitor safety and streamline traffic flow, such as installing traffic lights and providing clear guidelines for drivers [49][50]. - The need for a more proactive response from park authorities during emergencies is highlighted, as visitors should not have to rely solely on their own judgment for safety [50].

Core Viewpoint - The article emphasizes that high labor efficiency reflects a company's management level and organizational capability, rather than the number of overtime hours worked by employees [1] Group 1 - High labor efficiency indicates the ability to generate greater output in a shorter time, showcasing effective cost reduction and efficiency improvement strategies [1]