文 ｜ 陆茗 编辑 ｜ 向现 来源｜ 南风窗(ID:SouthReviews) 封面来源 ｜ unplash 曾在小红书上炫富1.67亿年薪的清华学霸吴舰，如今正面临两起诉讼。 南风窗 . 冷静地思考，热情地生活。 清华学霸涉欺诈遭美通缉， 1.67亿年薪致赔2.55亿。 以下文章来源于南风窗 ，作者陆茗 2025年9月， 一起来自美国纽约南区联邦地区法院发起的刑事诉讼，指控吴舰犯有电信欺诈罪、证券欺诈罪和洗钱罪；另一起来自美国证券交易委员会 （下称"SEC"）发起的民事诉讼，主张判决吴舰归还不义之财、支付罚款、终身禁业。 事件要追溯到2023年1月，小红书上出现一条题为《不敢发朋友圈的》的匿名帖称："工作5年赚到了刚毕业时候想不到的数字……想找个没人的地方偷偷 炫耀下。" 帖子配了一张摄屏照，显示发帖人2022年的薪资收入达到2350万美元，约合人民币1.67亿元，是上一年的10倍——发帖人称，原也想过此举可能被同事认 出来，但很快打消了顾虑，直言："感觉我也不需要那么在意。" 社交平台上的帖子显示， 发帖人2022年的薪资收入达到2350万美元，约合人民币1.67亿元，是上一年的10倍 戏剧化的是，SEC ...

在财富追逐的浪潮中，横财始终是令人心驰神往的"宝藏图"。刘蒋巍将从【信息差、规则缝隙、资源重 组】三大核心维度，系统拆解如何通过合法合规的方式实现非劳动性高额收益（横财），并强调可持续 性原则。这三大策略不仅适用于期货市场，亦可延伸至彩票等概率性领域，为财富增长开辟新路径。 信息差的核心是"我知道而你不知道"，通过提前获取、深度解读或垄断关键信息，在市场未充分反应时 完成价值捕捉。其本质是信息不对称下的认知套利，具体可分为三类： 通过政策文件草稿、专家闭门会议、产业链调研等渠道，提前获取未来事件信息（如政策发布、财报披 露、技术突破），在信息公开前布局。例如，某投资者通过参与行业闭门会议，提前获知某新能源技术 突破，提前买入相关股票，待消息公布后获利丰厚。 跨境电商利用海外商品在国内的稀缺性溢价，或A股与港股之间的估值差套利，均是空间差的典型应 用。例如，某跨境电商通过亚马逊平台采购海外低价商品，在国内电商平台高价销售，实现利润最大 化。 量化基金通过大数据挖掘企业财报中的隐性指标，或价值投资者对行业周期的深度预判，均属于认知差 范畴。例如，某量化基金通过分析卫星图像监测港口集装箱吞吐量，预判贸易活跃度，提前 ...

Group 1 - The emergence of AI models like DeepSeek in China reflects a significant trend where top AI companies are targeting quantitative fund firms on Wall Street for commercialization opportunities [1] - AI companies such as Anthropic are actively recruiting quantitative researchers, indicating a shift in talent acquisition strategies within the AI sector [1][2] - The competition for quantitative talent is intensifying, with AI firms offering attractive compensation packages that rival or exceed those in traditional finance [2][4] Group 2 - Wall Street's entry-level quantitative analysts earn around $300,000, excluding bonuses, while AI companies offer comparable or higher base salaries with equity-based compensation [4] - Companies like Anthropic are seeking quantitative analysts for their analytical skills, which are crucial for developing advanced AI systems [4] - The competition between Silicon Valley and Wall Street is escalating, with AI companies gaining an advantage due to the absence of non-compete agreements in California [5] Group 3 - The trend of AI companies recruiting from Wall Street signifies a potential shift in the financial services landscape, as these firms may begin to directly compete in financial markets [4][5] - The rise of AI models like DeepSeek suggests that the battle for talent and innovation in technology will become increasingly fierce among major tech players [5]

Core Insights - The article discusses the increasing competition between AI companies and traditional financial firms, particularly in the recruitment of talent from quantitative finance backgrounds [1][2][3][4][5] Group 1: AI Companies' Recruitment Strategies - AI companies like Anthropic are actively recruiting quantitative researchers, indicating a shift in focus towards Wall Street talent [1][2] - OpenAI and Perplexity AI have also engaged in similar recruitment efforts, highlighting a trend among leading AI firms to attract talent from the finance sector [2] - The financial incentives in AI, including higher salaries and equity compensation, are drawing talent away from traditional finance roles [2][3] Group 2: Talent Competition Dynamics - The competition for quantitative talent has intensified, with AI companies increasing their hiring by 12-18% over the past 12-18 months [3] - Entry-level quantitative professionals on Wall Street can earn up to $300,000 in base salary, excluding bonuses, while AI firms offer comparable salaries supported by equity [3] - Notable quantitative firms like Jane Street are losing their appeal to top talent, who are more excited about contributing to groundbreaking AI projects [3][4] Group 3: Skills Overlap and Industry Trends - The skills required in quantitative trading, such as analyzing large datasets and reducing algorithmic latency, are highly relevant to AI development [4] - Anthropic emphasizes the importance of rigorous analytical thinking and empirical research methods, which align with the challenges of developing advanced AI systems [4][5] - The ongoing recruitment of finance professionals by AI companies suggests a potential future where these firms may expand into financial services products [5]

Market Overview - The A-share market showed a strong weekly performance, with the Shanghai Composite Index rising by 2% and breaking last week's high, indicating a bullish trend [1] - Despite the positive weekly performance, daily indicators suggest some weakness, particularly with the appearance of a small bullish candle with a lower shadow on Thursday, indicating potential fatigue in the upward movement [1] - The regulatory authorities clarified that there will not be a large-scale expansion of IPOs and encouraged long-term capital to enter the market, signaling support for the current market conditions [1] Sector Opportunities - The robotics sector has shown strong performance, but the company has exited positions due to perceived high valuations and anticipates a divergence in performance among different robotics concepts [2] - The innovative pharmaceutical sector is viewed as having significant future opportunities despite current high valuations, driven by a fundamental shift in the market's interest [2] - The STAR Market Index is expected to benefit from a bullish trend, with a focus on long-term opportunities in artificial intelligence and technology stocks [2] Fund Management Trends - There is a noticeable trend of funds implementing purchase limits, with notable examples including the healthcare fund managed by Guo Lan, which limited single accounts to 100,000 yuan, reflecting a more cautious approach among fund managers [3] - The increase in fund sizes is seen as a potential challenge for performance, as larger scales can complicate management and lead to underperformance [3] - The trend of fund limits is not necessarily indicative of a market peak, and the future development of public funds is expected to be more sustainable [3]

Core Viewpoint - The current A-share market is experiencing a significant adjustment due to high crowding in small-cap stocks, leading to a breakdown of the "barbell strategy" among investors [2][5][14]. Market Sentiment - Recent market sentiment has turned negative, with a sharp decline observed on Friday, causing anxiety among investors [2]. - The lack of catalysts since May has contributed to the current market conditions, with the market's upward momentum being limited [6][7]. Historical Context - Historically, small-cap indices have experienced significant pullbacks, with the frequency of these pullbacks increasing from once a year to multiple times a year since 2022 [3][4]. - The volatility in the market has been exacerbated by quantitative funds outperforming subjective funds, leading to increased fluctuations [4]. External Factors - The current geopolitical climate, particularly the uncertainty surrounding U.S.-China negotiations, is causing unease in the market [8][11]. - Despite some positive economic data, structural issues remain, particularly in consumer spending, which is heavily reliant on subsidies [9][10]. Market Dynamics - The A-share market is currently in a typical oscillation phase, with resistance at 3400 points and support from policy measures and liquidity [13]. - The market is expected to remain in this oscillation until a significant catalyst emerges [18]. Potential Catalysts - Three potential catalysts could lead to a market breakthrough: 1. Positive developments in U.S.-China negotiations, such as the cancellation of fentanyl tariffs [15]. 2. Major technological advancements that enhance productivity across domestic industries [16]. 3. Unexpected stimulus policies in real estate, consumption, social security, and finance to boost domestic demand [17]. Investment Strategy - The focus remains on technology as the main investment theme, with current adjustments in the tech sector presenting attractive value opportunities [20][21].