以下文章来源于Tech星球 ，作者林京 Tech星球 . Tech星球，聚焦互联网前沿科技和新商业。 将投中网设为"星标⭐"，第一时间收获最新推送 AI抢人大战，蔓延到了学校。 作者丨林京 来源丨Tech星球 穿过拥挤的人群，走到二楼招聘专区的张月，有些失落。此前她在网上早已看好的工作岗位并没有被 贴出来，清一色的工程师、AI算法师，以及许多陌生的专业术语目不暇接，打消了她上前询问的念 头。 作为一名文科生，张月硕士研究生毕业时，也来这里参加过招聘会，但现在变化明显，与AI相关的 岗位几乎占据了90%的招聘摊位，某AI独角兽企业挂出的百万年薪，在招聘会上更是显眼十足，还 有企业打出"上不封顶"的薪酬待遇。 今年以来，以DeepSeek、宇树科技为代表的科技企业频频登上热搜，AI浪潮之下，"金三银四"招聘 季，如张月一般，很多毕业生正在被AI岗位包围。 高校、企业也正在补齐AI人才缺口。截至目前，包括北大、清华等在内的超过15所知名高校密集宣 布本科扩招，招生重点集体聚焦在新兴前沿领域，培养AI人才。 互联网企业也跑到高校门口"抢人"。在社交平台引起大范围讨论的钉钉，更是在全国替杭州"抢人"， 将招聘广告直接贴 ...

Core Insights - Nvidia is currently leading the AI industry with record financials and high profit margins, but faces significant risks from U.S. tariffs and competition from emerging companies [2][9][10] Group 1: Company Performance and Strategy - Nvidia attracted a record 25,000 attendees at GTC 2025, showcasing its strong market presence [1] - CEO Jensen Huang emphasized the ongoing demand for Nvidia's chips, introducing new powerful chips and personal supercomputers [3][5] - Despite a dip in share price post-keynote, Nvidia aims to reassure investors about the future demand for its products [8] Group 2: Competitive Landscape - Huang addressed concerns about competition from Chinese AI lab DeepSeek and other emerging companies developing low-cost inference hardware [4][6] - Major tech companies like OpenAI and Meta are exploring in-house hardware solutions to reduce reliance on Nvidia chips, which could weaken Nvidia's market dominance [12] Group 3: Tariff and Economic Considerations - Nvidia is currently not facing tariffs on chips sourced from Taiwan, but Huang acknowledged potential long-term economic impacts [9] - The company plans to invest hundreds of billions in U.S. manufacturing to diversify supply chains, which may affect profit margins [10] Group 4: New Business Ventures - Nvidia is expanding into quantum computing, launching a new center in Boston to collaborate with leading hardware and software companies [11][13] - The introduction of products like DGX Spark and DGX Station aims to position Nvidia in the personal AI supercomputer market, although these products are priced at thousands of dollars [14][15]

Core Viewpoint - The article emphasizes the importance of historical context in understanding current economic transformations and future trends in China, particularly through the lens of the "Hangzhou Six Little Dragons" phenomenon and the necessity of allowing "disorder" for innovation to thrive [2][4]. Summary by Sections Historical Context and Economic Reform - The article discusses that significant reforms in China over the past decades were not solely the result of top-down planning but often emerged from grassroots experimentation and unexpected breakthroughs [4]. - Key historical reforms include the household responsibility system in the late 1970s, the rise of township enterprises in the 1980s, and property rights reform in the 1990s, all of which were characterized by trial and error [4]. Drivers of Economic Change - Four main drivers of China's economic reform are identified: 1. Institutional Innovation: Continuous redesign of industrial and macroeconomic systems has been the primary driver of economic development [4]. 2. Tolerance for Imbalance: Breaking away from a planned economy has involved allowing certain regions and individuals to prosper first [4]. 3. "Giant Nation Effect": The large population provides significant growth opportunities for industries, enabling initial accumulation of resources [4]. 4. Technological Breakthroughs: New technologies disrupt existing industries and drive societal progress [5]. Future Economic Trends - The article posits that understanding historical economic transformations is crucial for grasping current challenges and opportunities in China, especially as the country approaches a new crossroads in 2025 [7]. - Factors influencing future trends include technological revolutions, market segmentation, marketing evolution, and geopolitical shifts [7]. Educational Initiative - The "2025 Wu Xiaobo Agitation Lecture" aims to equip entrepreneurs and business leaders with insights into the historical and future economic landscape, helping them navigate upcoming challenges [7][17]. - The course will cover various topics, including the history of private enterprises in China, the characteristics of different economic periods, and analytical tools for understanding economic dynamics [10][12]. Unique Learning Experience - The course promises a rich blend of historical analysis, case studies, and practical insights from Wu Xiaobo's extensive research and interviews with prominent entrepreneurs [11][14]. - Participants will have the opportunity to engage directly with Wu Xiaobo during a Q&A session, addressing their specific business challenges and future uncertainties [16].

Baidu Inc. BIDU is showing signs of a potential breakout, with its stock price climbing above key moving averages and approaching a Golden Cross—a widely followed bullish technical indicator. Chart created using Benzinga ProThe stock has gained 6.19% in the past month and is up 15.11% year to date, fueled in part by the company’s aggressive push into artificial intelligence (AI). While the trend is moderately bullish, lingering selling pressure suggests that investors should keep an eye on potential downsid ...

Investment Rating - The report does not explicitly state an investment rating for the semiconductor industry Core Insights - AI computing chips are considered the "engine of the AI era," with significant growth in global computing demand driven by the ChatGPT trend and the acceleration of AI model iterations [6][12] - The global computing scale is expected to grow from 1,397 EFLOPS in 2023 to 16 ZFLOPS by 2030, with a compound annual growth rate (CAGR) of 50% from 2023 to 2030 [6][25] - The AI server market is projected to reach $125.1 billion in 2024 and $158.7 billion in 2025, with a CAGR of 15.5% from 2024 to 2028 [29] Summary by Sections 1. AI Computing Chips as the "Engine of the AI Era" - The ChatGPT trend has led to a rapid iteration of AI models by major tech companies, significantly increasing global computing demand [12][19] - AI servers are the core infrastructure supporting generative AI applications, with a growing need for high-performance computing resources [28][29] 2. Dominance of GPU and Growth of Custom ASIC Market - AI computing chips are primarily based on GPUs, with a significant market share held by NVIDIA, which dominates the global AI chip market [42][45] - The custom ASIC chip market is expected to grow rapidly, driven by cloud vendors seeking to diversify supply chains and enhance bargaining power [6][7] 3. DeepSeek's Role in Accelerating Domestic AI Computing Chip Development - DeepSeek's technological innovations are expected to enhance the efficiency of domestic AI computing chips, facilitating their rapid development and market share growth [6][7] 4. Henan Province's Focus on AI Computing Chips - Henan Province is actively developing its AI computing chip industry, establishing a foundational ecosystem and attracting key enterprises [9][10]

将投中网设为"星标⭐"，第一时间收获最新推送 一批基金已经悄悄打了一场翻身仗。 作者丨黎曼 王满华 鲁智高 来源丨投中网 VC开始忙起来了。 不止一个VC投资人向我表达了时下的忙碌，忙着见人，忙着看项目，忙着投资，一个字"忙"…… "今年和去年不一样。"投资人惊喜地发现，大家的心态悄悄地在变好，投资热情渐渐回来了。 我也发现，在投资人摩拳擦掌的当前，一批基金已经悄悄打了一场翻身仗。 "2024年大力搞退出，2025春节前到款一个亿，直接把机构盘活了。"一国资负责人王炎向我喜出望外谈到，"主基金里一个先 进制造项目回报达到了40多倍，不仅直接让整只基金回本，还让团队又'财富自由'了一批，甚至连外行看热闹的公司行政小姐 姐跟投都'赚翻了'。" "投资简直就是玄学。"机构行政小姐姐得知消息后，在王炎面前表示感叹。业绩分红后，不仅团队打了个漂亮的翻身仗，LP们 的钱包也鼓起来了。王炎称，新一轮基金马上也募资到位了，老LP出资意愿很强。 这一积极景象，也与当下正热的AI与机器人点燃"国运级"赛道暗合。DeepSeek、宇树等初创企业的崛起，吸引全球资本涌 入，中国凭借庞大的数据资源与政策支持，已成AI投资焦点，覆盖医疗 ...

Core Insights - OpenAI has launched a more powerful version of its inference AI model, o1-pro, which consumes more computational resources to provide consistently better responses [1][2] - The pricing for o1-pro is significantly higher than its predecessors, with input costs at $150 per million tokens and output costs at $600 per million tokens, making it twice the price of GPT-4.5 input and ten times the standard o1 price [1] - Initial impressions of o1-pro in the ChatGPT platform have been mixed, with users reporting difficulties in solving certain problems, indicating that the model may not yet meet expectations [2] Pricing and Comparison - OpenAI's o1-pro charges $150 for every million input tokens and $600 for output tokens, while competitors like DeepSeek-V3 charge $0.07 and $0.27 for input tokens, and $1.10 for output tokens [1] - DeepSeek-R1 has input token prices of $0.14 and $0.55, with output tokens priced at $2.19, highlighting the competitive pricing landscape [2] Performance Insights - Despite the increased computational power, o1-pro has shown only slight improvements over the standard o1 model in coding and mathematical problem-solving, although it is noted to be more reliable in its responses [2] - User feedback indicates that o1-pro struggles with certain tasks, such as solving Sudoku puzzles, which raises questions about its practical effectiveness [2]

Core Insights - The introduction of DeepSeek's R1 model is expected to significantly impact the AI industry, requiring more computational resources than previously anticipated [1][2] - CEO Jensen Huang highlighted the model's unique capabilities, including its open-sourced reasoning approach and ability to verify answers, which sets it apart from traditional AI models [2] - The AI market is experiencing a shift in focus from generative AI to reasoning models, indicating a broader trend in technological development [3] Company Developments - Nvidia's CEO discussed partnerships with major companies such as Dell, HPE, Accenture, ServiceNow, and CrowdStrike, showcasing Nvidia's commitment to advancing AI infrastructure [3] - The company experienced a significant stock drop of 17% in late January, resulting in a loss of nearly $600 billion, due to investor concerns over DeepSeek's model potentially outperforming competitors [2] Industry Trends - The global computing capital expenditures are projected to reach $1 trillion by the end of the decade, with a significant portion allocated to AI development [3][4] - The opportunity for companies in the AI sector is substantial, given the anticipated growth in infrastructure needs as the industry evolves [4]

Group 1 - Elon Musk's xAI and Nvidia have joined a $30 billion AI infrastructure project, aiming to raise up to $100 billion for AI development [1][3] - The AI Infrastructure Fund is backed by BlackRock, Microsoft, and Abu Dhabi AI investment group MGX [1][3] - Jensen Huang, CEO of Nvidia, emphasized that the global buildout of AI infrastructure will benefit companies and countries seeking economic growth and solutions to major challenges [2] Group 2 - The fund aims to construct data centers and secure power sources for AI infrastructure [3] - Huang highlighted the need for massive computing power as AI evolves towards agentic and reasoning models, which require significantly more computation than traditional large language models [4][5] - To maintain responsiveness in AI models, computation speed must increase tenfold, with overall computational needs growing by a factor of 100 [5] Group 3 - The BlackRock/Microsoft fund is not the only initiative; SoftBank and OpenAI also announced their "Stargate" project, planning to invest up to $100 billion in AI infrastructure [6]

Core Insights - Jensen Huang, CEO of Nvidia, is optimistic about continued spending on Nvidia's products, driven by new powerful chips and the industry's shift towards inference in AI [1][8] - Nvidia is set to release a new generation of Rubin GPUs next year, which are expected to significantly outperform previous models [2][3] - Huang highlighted that the demand for computation in AI has increased dramatically, requiring 100 times more than previously anticipated, which supports the need for Nvidia's advanced chips [5] Company Developments - The upcoming Rubin chips will succeed the Blackwell and Hopper lines, with an ultra version of Rubin projected to have 14 times the performance of the ultra version of Blackwell [2] - Nvidia is also teasing a future line of chips named after physicist Richard Feynman, expected to surpass the performance of the Rubin chips [3] Market Reactions - Despite Huang's confidence, Nvidia's shares fell by over 3.4% following his keynote, indicating investor concerns about the implications of DeepSeek on chip demand and slowing revenue growth [6][8] - Nvidia's fourth-quarter revenue for 2024 was $39.3 billion, reflecting a 78% increase year-on-year, but this growth rate is lower than the 262% seen in the first quarter [6]