风险提示：本文所提到的观点仅代表个人的意见，所涉及标的不作推荐，据此买卖，风险自负。 作者： 闷得而蜜 来源：雪球 阳光电源从2020年5月底起步 ， 短短14个月时间从6.0附近一路向北 ， 在2021年7月底 ， 最高超过120 ， 上涨幅度超过20倍 ， 市值最高超过2000亿 。 从此以后一路南下 ， 到目前在60附近 ， 区间累计也还有10 倍左右 。 寒武纪IPO后则一路南下 ， 在2022年中下探到50元附近 ， 2023年ChatGPT引爆行情 ， 最高达超过800元 ， 累计16倍涨幅 ， 市值最高超过3000亿 。 这两只股票的 业绩与市值完全背离 。 阳光电源在市值最高的2021年 ， 业绩反而处于低谷 ， 营收增长一般 ， 归母净利润负增长28% 。 后来的2022 、 2023 、 2024连续三年高增长 ， 即使2025Q1的YoY继续高增 长 。 而寒武纪呢 ， 营收几乎没有增长 ， 持续大幅度亏损 ， 当然2025Q1迎来了营收和业绩的拐点 。 | 分时 五日 日K 国K | 目K 学 年K 120分 | | 60分 30分 | 153 59 | 153 | 区同姓十 | 全屏 ...

说到硅谷有名的投资人，Canvas Ventures创始人兼管理合伙人Rebecca Lynn的投资观点总能切中要害， 不愧是将Lending Club推向美国2014年最大科技IPO的风投老将。 当然，除了Lending Club之外，她的投资组合还包括多个成功案例：被汤森路透以6.5亿美元收购的AI法 律科技公司Case Text、被益百利收购的Gabby、以及被贝莱德收购的Future Advisor等。 回看2023年初，资本市场的钱包对AI创业几乎是敞开的。几乎每家风投都在争相投资各种"AI+X"的创 业公司，仅凭一个精美的Demo就能拿到百万美元级别的种子轮。而Rebecca的观点却像一针见血——在 PPT模式下创建一个惊艳的AI产品太容易了，但将它转化为真正可扩展的产品却是天壤之别。 在Rebecca眼中，CEO最重要的素质与技术关系不大，而是销售能力："CEO的工作本质就是不停地销售 ——向客户卖产品，向员工卖愿景，向人才卖职位，你无时无刻不在推销你的公司。" 她特别欣赏那些既能倾听客户声音、又具备出色销售领导力的CEO。她举例说明，Doximity的创始人 Jeff Tagney从一开始就组 ...

Core Viewpoint - The emergence of DeepSeek challenges traditional beliefs about AI model development, demonstrating that a financial startup from China can innovate in AI, contrary to the notion that only large tech companies or research institutions can do so [1][4][5]. Group 1: AI Economics: Scaling Laws vs. Scale Effects - DeepSeek's success indicates a shift in understanding the barriers to AI model development, particularly reducing the constraints of computational power through algorithm optimization [8][9]. - Scaling laws suggest that increasing model parameters, training data, and computational resources leads to diminishing returns in AI performance, while scale effects highlight that larger scales can reduce unit costs and improve efficiency [10][11]. - The interplay between scaling laws and scale effects is crucial for understanding DeepSeek's breakthrough, as algorithmic advancements can enhance the marginal returns of computational investments [12][14]. Group 2: Latecomer Advantage vs. First-Mover Advantage - The distinction between scaling laws and scale effects provides insights into the competitive landscape of AI, where latecomers like China can potentially catch up due to higher marginal returns on resource investments [16][22]. - The AI development index shows that the U.S. and China dominate the global AI landscape, with both countries possessing significant scale advantages, albeit in different areas [18][22]. - The competition between the U.S. and China in AI is characterized by differing strengths, with the U.S. focusing on computational resources and China leveraging its talent pool and application scenarios [19][22]. Group 3: Open Source Promoting External Scale Economies - DeepSeek's open-source model reduces commercial barriers, facilitating broader adoption and innovation in AI applications, which can accelerate the "AI+" process [24][26]. - The open-source approach allows for greater external scale economies, benefiting a wider range of participants compared to closed-source models, which tend to concentrate profits among fewer entities [25][28]. - The potential market size for AI applications is estimated to be about twice that of the computational and model layers combined, indicating significant growth opportunities [27]. Group 4: Innovation Development: From Supply and Assets to Demand and Talent - The success of DeepSeek raises questions about the role of traditional research institutions in innovation, suggesting that market-driven demands may lead to more successful outcomes in technology development [30][31]. - The integration of technological and industrial innovation is essential for sustainable growth, emphasizing the need for a shift from a supply-side focus to a demand-side approach that values talent and market needs [32][33]. - The importance of talent incentives and a diverse innovation ecosystem is highlighted, as smaller firms may be more agile in pursuing disruptive innovations compared to larger corporations [34][36]. Group 5: From Fintech to Tech Finance - The relationship between finance and technology is re-evaluated, with the success of DeepSeek illustrating how financial firms can leverage technological advancements to enhance their competitive edge [36][39]. - The role of capital markets in fostering innovation ecosystems is emphasized, suggesting that a diverse range of participants is necessary for achieving external scale economies [38][39].