Core Insights - The article discusses the launch of X's new recommendation algorithm, which has transitioned to an AI-driven model, moving away from manual rules and features [2][3][10]. Group 1: Algorithm Overview - The new X recommendation algorithm has been open-sourced, utilizing a Transformer architecture similar to that of xAI's Grok model [2]. - The algorithm removes most manual rules and features, relying instead on AI to learn user preferences based on past interactions [3][4]. - Two main systems drive content delivery: Thunder, which ensures users see updates from accounts they follow, and Phoenix, which predicts content users may like even if they do not follow the source [4][6]. Group 2: Content Evaluation - Phoenix evaluates content based on predicted user interactions, considering 15 potential behaviors, both positive and negative [6][7]. - The algorithm prioritizes content that is likely to generate engagement, rather than content that has already received high engagement [7][11]. - Factors such as comment engagement and user reading time are weighted heavily, with comments and author replies being significantly more valuable than likes [11][12]. Group 3: Implications for Creators - Creators are encouraged to adapt their content strategies to align with AI logic, moving away from traditional "traffic tricks" [10][13]. - The algorithm favors content that stimulates discussion, suggesting that engagement through comments is more beneficial than mere likes [28][39]. - The system's focus on emotional and controversial content may lead to a shift in creator behavior, potentially prioritizing sensationalism over thoughtful expression [13][14]. Group 4: Future Considerations - The algorithm will be updated every four weeks, providing creators with opportunities to adjust their strategies based on performance data [12]. - The shift towards AI-driven recommendations raises questions about the authenticity of content creation, as creators may feel pressured to cater to algorithmic preferences [13][39].

我们移除了所有人工设计特征和绝大多数启发式规则。 消息一出，整个社区立刻沸腾了，最高赞上去就是一顿猛夸： incredible！没有其他平台能做到如此透明。 马斯克本人也火速转发了工程团队原帖，不过一向言辞高调的老马，此番却低调表示： 一水 发自 凹非寺 量子位 | 公众号 QbitAI 就现在，GitHub已经能完整看到马斯克开源的 推荐算法系统 了。 开源文件里明确表示，这是一个几乎完全由AI模型驱动的算法系统。 我们知道这个算法很蠢（dumb），需要大幅改进，但至少您可以实时、透明地看到我们为改进它而努力。 其他社交媒体公司都没有这样做。 早在2022年收购 （原Twitter） 之前，马斯克就多次批评该平台过于封闭。 自收购之后，他也兑现承诺多次公开Twitter核心推荐算法，这一次也算是不忘初心了。 原来纯AI驱动的推荐系统，是这样运作的！ 话不多说，咱这就扒一扒整套系统的运作机制。 一句话概括这个系统即为： 基于Grok-1同款Transformer架构打造，能通过学习你的历史互动行为 （点赞/回复/转发过什么） ，来决定给你推荐什么内容。 从用户打开"For You"开始，客户端会向服务器发送一 ...

Core Viewpoint - Beijing Zhongchang Shiji Information Technology Co., Ltd. (referred to as "Shiji Information") plans to acquire a 13.50% minority stake in its subsidiary Shenzhen Sihon Software Co., Ltd. through a share issuance, despite Sihon Software experiencing declining revenues but increasing gross margins in recent years [1][5]. Group 1: Financial Performance - Sihon Software's technical service revenue has declined over the reporting periods (2023: 268 million yuan, 2024: 253 million yuan, 2025: 86 million yuan), while software product revenue has also decreased (2023: 90.57 million yuan, 2024: 72.36 million yuan, 2025: 16.50 million yuan) [2]. - Despite the revenue decline, the gross margin for payment technology services has increased significantly, reaching 60.07% in 2025, compared to 42.72% in the previous IPO application period [2]. Group 2: Customer Structure - The top five customers of Sihon Software contributed over 80% of its revenue during the reporting periods, with the first customer, Suixing Pay, contributing 44.88% of the revenue in early 2025 [3]. - The gross margin for Sihon Software's payment technology services is significantly higher than that of competitors like Lakala, indicating a sustainable business model [3]. Group 3: Cost Management - Sihon Software has seen a continuous decline in operating expenses, with sales expenses dropping from 35.96 million yuan to 7.67 million yuan, and R&D expenses decreasing from 53.24 million yuan to 13.30 million yuan [4]. - The company has successfully transitioned towards SaaS, with SaaS software revenue increasing from 15.06% in 2020 to 43.66% in early 2025, providing a new growth driver [4]. Group 4: Acquisition and Synergy - The acquisition will enhance Shiji Information's control over Sihon Software, which has served over 700,000 retail stores and demonstrated stable profitability [5]. - The transaction is subject to regulatory approval, and its completion is expected to positively impact the financial structure and business layout of the listed company [6].