Group 1 - The "Guoyuan V3 Cup" first Yangtze River Delta Chamber of Commerce Presidents (Entrepreneurs) Dou Di Zhu Friendship Tournament concluded in Nanjing after over two months, with nearly 700 business professionals participating and 96 finalists competing in a friendly yet intense intellectual contest [1][3] - The event was organized by the Jiangsu Dou Di Zhu Sports Association, which highlighted the tournament's role in enhancing the festive atmosphere and providing an efficient platform for business exchanges among entrepreneurs in the Yangtze River Delta region [3][6] - Dou Di Zhu, a popular intellectual game, has increasingly been integrated into business social settings, reflecting a trend where such events facilitate networking and the sharing of industry insights among participants [5][6] Group 2 - Jiangsu Jinshiyuan Liquor Co., Ltd. supported the event, with its Vice General Manager Chen Jiuquan emphasizing the cultural significance of the tournament in fostering connections and resonance in business interactions [5][8] - Industry insiders believe that combining intellectual sports with business communities offers new opportunities for interaction among enterprises in the Yangtze River Delta, promoting the flow and integration of regional economic elements in a relaxed atmosphere [6]

（来源：新安晚报） 转自：新安晚报 1月15日，棋圣聂卫平去世的消息传来。作为新安晚报、安徽网、大皖新闻退休记者，2012年那个桂香满城的九 月，与他的初次相逢恍如昨日，四次采访的点滴细节，在记忆深处愈发清晰。 小笼包香难忘 2012年9月，我因报道"聂卫平与安徽无为小保姆的故事"，第一次见到了这位传奇"棋圣"。当时他穿着朴素的深色 外套，话语不多，眼神却格外温和。 当我递上报纸，没想到这位见惯大场面的"棋圣"，竟郑重地接过，逐字逐句读了起来。读完报道后，他抬起头笑 了，手指轻点报纸上"无为"二字，语气带着几分打趣："想不到我聂卫平，跟安徽无为这方水土有缘，跟你这位 《新安晚报》的记者也有缘。" 交谈间，我鼓起勇气问起一个藏在心底的疑问：为何有时在赛场上会看到他打瞌睡的身影？ 聂卫平闻言淡淡一笑，语气平和地解释，一来是身体原因，常年高强度的赛事和训练早已透支了精力；二来是赛 程太过劳累，他并非真的酣睡，只是趁对手思考的间隙眯一会儿眼睛，养养精神，好应对接下来的棋局。 他还饶有兴致地聊起，早年间来安徽交流棋艺时，曾在合肥城隍庙吃过一碗地道的庐州小笼包，皮薄馅嫩的滋 味，竟让他记了好些年。 读完后，他依旧提起那句 ...

（来源：新安晚报） 而我们普通人，则在牌桌上不经意地泄露出更本真的模样。有人输了一局，脸便沉下，反复念叨对家某 张牌出得不对，得失心太重。有人却哈哈一笑，说一声"输赢无所谓"，顺手将牌洗得哗哗响，还会饶有 兴致地探讨若是换种打法会如何。前者令人敬而远之，后者则让人愿意下次再聚。难怪人说，掼蛋这游 戏，情商与人品，常常比牌技本身更要紧。一个人的气象与涵养，在这方寸牌桌间，确是无处躲藏。 牌桌，由是也成了一个小小的社会。固定的牌友，多是性情相投、时光凑巧的人。大家暂将平时的负累 卸下，边打牌边说些家长里短的闲话，牌局成了一种平实而温暖的相聚。 如今，掼蛋成了我生活里一段固定的节奏。每月总有那么几次，四人围桌而坐。牌是新的，茶是滚的， 人的心是松泛的。洗牌、切牌、发牌，熟悉的声响一起，窗外的车马人声便淡去了。 牌发到手里，我理得有些忙乱。这名师友的牌似乎极好，出得果断凌厉，气势十足。我挺在乎这名师友 的看法，当时心里只有一个念头，千万别拖后腿。谁知越是这么想，手上越出错。该顶住上家时，我手 一软，放了过去；该顺顺当当给对家递牌时，我又懵懂地拦了一下。眼看他原本顺畅的牌路，被我堵得 磕磕绊绊。最后一局关键牌，明明是他 ...

Group 1 - The core viewpoint of the article indicates that Yaoji Technology's performance is under short-term pressure, but the short drama infrastructure continues to benefit from industry trends [1] - The year-end to Spring Festival period is a peak season for offline gatherings and family entertainment, which is expected to drive demand growth for playing cards and leisure games [1] - Historical data shows that the company's revenue is projected to grow by 33.47% and 61.66% quarter-on-quarter for 2024 and Q1 2025 respectively, highlighting the significant impact of festive effects on performance [1] Group 2 - In recent years, the company has been consolidating its traditional playing card advantages while accelerating the layout of new categories such as "Doudizhu" [1] - The company is optimistic about the potential for a phase recovery in its core leisure entertainment segment, driven by both the festive peak season and the expansion of new products [1] - With the trend of premiumization in short dramas, the company is expected to continue benefiting from its unique supply capabilities during the industry's upward cycle [1] Group 3 - Based on the closing price on December 19, the company is valued at 18, 16, and 13 times PE, maintaining a "buy" rating [1]

Summary of Zhejiang Shuju Culture Conference Call Company Overview - **Company**: Zhejiang Shuju Culture - **Period**: First three quarters of 2025 Financial Performance - **Revenue**: 2.152 billion CNY, a slight decrease of 0.79% year-on-year [2][3] - **Net Profit**: 535 million CNY, an increase of 12.65% year-on-year [3] - **Net Profit (Excluding Non-recurring Items)**: 340 million CNY, a growth of 6% year-on-year [3] - **Operating Cash Flow**: Improved from a negative 182 million CNY to a positive 324 million CNY [3] - **R&D Investment**: Increased by 20 million CNY to 268 million CNY, representing 12.5% of revenue [2][3] Business Segments Gaming Sector - **Peak Games**: Maintained steady growth despite no new game licenses; strong performance from popular games like "Doudizhu" [2][4] - **Innovation Team**: Established to explore mobile games and other categories [4] - **Profit Growth**: Driven by enhanced traffic effects from premium games [6] Digital Marketing - **Contribution to Profit**: Digital marketing segments like Jiutian Interactive and Taotian Media contributed to net profit growth [6] IP Economy - **Focus Area**: IP economy is a key growth area with multiple products launched in September and October, including toys and collectibles [7] - **Future Plans**: More products expected in Q4 and next year, with resource integration from previous investments anticipated to positively impact financials [7] Digital Technology (AIDC) - **Stability**: The AIDC segment remains stable, with plans for collaboration with leading computing card manufacturers in Beijing [8] - **Growth Potential**: The Dajiangdong area shows potential for growth, supported by Alibaba's significant investment in AI [8] Strategic Partnerships - **Collaboration with Alibaba Cloud**: A strategic framework agreement signed to upgrade computing power at the Fuyang base and deepen cooperation on the Dajiangdong project [9] - **AI Infrastructure**: Plans to enhance AI industry infrastructure through collaboration [9] AI Applications - **AI Development**: Formation of AI models and algorithms aimed at various sectors including smart cities and digital media [10] - **Commercialization**: Existing R&D outcomes are being transformed into competitive products for commercial value [10] Data Trading Center - **Growth in Trading Volume**: Expected to double in 2025, surpassing 100 million CNY [11] - **Future Potential**: Current trading volume is only 2%, with significant growth potential as national policies promote data trading [12] Investment Activities - **IPO Projects**: Investments in companies like Haima Cloud and Tongshifu are expected to yield returns upon their IPOs [13] - **Stock Holdings**: Company holds shares in Huatuo, with partial reductions noted; further details pending in the upcoming quarterly report [13] Collaboration with Alibaba - **Equity and Business Cooperation**: Includes joint ventures and strategic projects aimed at leveraging shared resources for mutual growth [14] - **Investment in Media**: Significant investment in media ventures to enhance collaborative business models [14] This summary encapsulates the key points from the conference call, highlighting the financial performance, business segments, strategic partnerships, and future outlook for Zhejiang Shuju Culture.

Core Viewpoint - The research indicates that large models can effectively play various card games, demonstrating their capabilities in complex decision-making scenarios [2][4][52]. Group 1: Model Performance - Different models exhibit varying performance across different card games, with fine-tuned models showing superior results compared to API-based and base models [3][40]. - Among the API-based models, GPT-4o performs the best overall, while GLM-4 demonstrates strong capabilities in games like DouDizhu and GuanDan [39][40]. - Fine-tuned models, particularly GLM4-9B-Chat-mix, excel in multiple games, including DouDizhu, GuanDan, and Uno, indicating their versatility [42][40]. Group 2: Game Selection and Learning Methodology - The research team selected eight popular card games based on their complexity and the availability of high-quality models and data [8]. - The learning process involved generating high-quality interaction data through teacher models and opponents, allowing the large language models to learn effectively [14][16]. - The complexity of the games influenced the number of training instances collected, with more complex games like DouDizhu and GuanDan requiring larger datasets [20][21]. Group 3: Inter-Game Influence - The study found that models trained on similar games can enhance each other's performance, while those trained on games with significant rule differences may experience performance conflicts [52][49]. - For instance, models trained on GuanDan showed good performance in DouDizhu, suggesting a positive transfer of skills between these games [45]. Group 4: Generalization and Capability - The research indicates that while training on card games, the general capabilities of the models may decline, but this can be mitigated by incorporating general data into the training process [56][54]. - The mixed training approach allowed for some recovery of general capabilities, demonstrating the balance between specialized game skills and broader knowledge [56].