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规模达2.99万亿元,仍将持续爆发,这类基金有望成低风险理财“压舱石”
3 6 Ke· 2026-02-02 00:22
受访公募机构表示,当前,居民资产配置持续向金融资产转移,"固收+"产品凭借其清晰的风险收益特 征,有望成为承接稳健类资金的重要载体,市场规模或进一步增长。 "固收+"基金规模达2.99万亿元,有望成低风险理财市场"压舱石" 随着天量存款到期、低利率环境延续,"固收+"基金规模和业绩迎来"双丰收"。 "固收+"产品规模快速增长 "固收+"产品规模持续扩张。中金公司研报数据显示,截至2025年末,全市场2292只"固收+"基金规模合 计达2.99万亿元(统计一级债基、二级债基、可转债、偏债混、低仓位灵活配置基金、偏债混合型 FOF),创历史新高;环比增长9%,较去年同期增长56%。从细分品类来看,2025年四季度,二级债基 大幅扩容,最新规模达1.55万亿元,环比增长19%。 进入2026年以来,基金公司继续加大力度布局"固收+"基金,包括汇添富、富国、易方达、国泰、摩根 等多家基金公司。 兴业基金固定收益投资部总经理助理腊博表示,"固收+"产品规模快速增长是多方面因素共同影响的结 果,低利率环境是重要的背景,较低的存款利率和债券收益率难以满足投资者对收益的诉求,经济结构 转型和政策支持使市场风险偏好显著提升。 ...
马斯克悄悄让Grok 5在韩服打LOL?醉翁之意在世界AI模型
3 6 Ke· 2026-02-02 00:22
Core Insights - A mysterious account named "택배기사한 진" has gained attention in the League of Legends (LOL) community for achieving an impressive win rate of 95% over 56 matches, quickly rising to the top ranks in the Korean server [1][3] - Speculation arises that this account may be operated by an AI, particularly due to its unusual gameplay patterns and decision-making abilities that surpass typical human players [4][6] Group 1: AI and Gaming - The account's performance has led to theories that it is linked to Elon Musk's xAI and its Grok 5 AI, which is set to challenge top LOL teams in the future [4][11] - Observations of the gameplay suggest that the account exhibits traits typical of AI, such as precise movements and decision-making that seem to optimize efficiency [6][8] - The AI's ability to read the game through a camera, rather than directly accessing game data, adds a layer of complexity to its performance [6][7] Group 2: Implications for the Esports Industry - The potential application of AI like Grok 5 in esports could revolutionize training and strategy development for professional teams, allowing them to analyze opponents' gameplay more effectively [12][14] - Concerns arise regarding the possibility of AI being used to create cheats or hacks, which could disrupt the competitive integrity of the gaming environment [14][16] - The integration of AI in gaming could lead to significant changes in game development and player experience, potentially making AI a common presence in multiplayer environments [17]
当Agent平台接管漫画创作,千万漫画人该往哪走?
3 6 Ke· 2026-02-02 00:22
Core Insights - The emergence of Agent platforms is revolutionizing the content creation landscape, particularly in the film and comic industries, by leveraging automation and intelligent creation capabilities [1] - Traditional comic markets are facing challenges, with original authors experiencing squeezed profit margins, while AI technology is becoming more accessible, reshaping the creative process [2][9] - The integration of AI tools is seen as a critical choice for top creators to balance costs and quality, enabling them to overcome creative bottlenecks [3][12] Industry Challenges - The traditional comic market is struggling, with platforms reducing budgets for content procurement and author royalties, leading to increased financial pressure on original creators [2] - The demand for higher quality visuals and storytelling from platforms is raising human creation costs, putting additional strain on authors [2][9] - Many smaller creators find AI tools to be unaffordable and ineffective, exacerbating the divide between top and emerging authors [7] AI Integration and Evolution - By late 2025, the landscape shifted as AI tool manufacturers engaged in intense competition, leading to significant improvements in the quality and affordability of AI tools [8] - The democratization of AI tools allows both established and new creators to access and utilize these technologies, breaking down previous barriers to entry [8][15] - The role of AI in the creative process is evolving, allowing creators to focus on storytelling while AI handles repetitive tasks, leading to a more specialized workforce [15][17] Future of Content Creation - The rise of Agent platforms is facilitating a shift from traditional large-scale studios to smaller, more agile creative teams, enhancing collaboration and efficiency [17] - The industry is witnessing a redefinition of talent value, where core creative abilities are amplified, while those lacking originality may be phased out [17] - The transformation driven by Agent platforms is seen as an opportunity for creators to explore new formats and find sustainable paths in a changing market [12][13]
腾讯打响AI社交第一枪
3 6 Ke· 2026-02-02 00:22
2月1日零点刚过,不少人的微信对话框就被一条红色链接刷屏了。 腾讯元宝派正式上线10亿春节红包活动,没有复杂的助力门槛,只需完成简单任务就能获得抽奖机会,最高可领万元现金,直接提现至 微信支付。 这种"零套路"的玩法迅速点燃了社交网络,据媒体报道,分10亿元现金红包活动开启仅14小时,腾讯元宝App便登顶了苹果商店免费榜。 甚至在家庭群里引发了长辈跟风转发,同事群里开始比拼抽奖次数,就连平日里安静的兴趣社群也被红包链接唤醒。 这场红包雨的特别之处,远不止"大方"二字。相比其他平台的补贴活动,元宝派零点准时启动,避开了用户集中使用时段的拥堵,更显 诚意。 在AI这条赛道上,相比阿里、字节、百度,腾讯的表现似乎一直更低调。百度构筑了从芯片、框架到模型、应用的全栈技术生态,其优 势在B端与开发者。阿里"千问"选择了一条激进的超级入口,试图整合电商、生活服务,打造一个能办事的AI管家。 腾讯走的更多是"生态赋能"路线,不急于推出独立AI产品,而是将混元大模型的能力融入现有业务。 比如让游戏里的AI NPC更懂玩家心思,广告推荐的精准度显著提升,以及基于微信生态,元宝智能体和视频号、公众号打通,这样一套 策略积累的用户 ...
Model S/X停产,这次真是资本做局
3 6 Ke· 2026-02-02 00:22
Core Viewpoint - Tesla's flagship models, Model S and Model X, will cease production by the end of Q2, with the Fremont production line being repurposed for the Optimus robot factory, aiming for an annual capacity of 1 million units [1]. Group 1: Production and Sales - Model S was released in 2012, followed by Model X in 2015, establishing Tesla's dominance in the electric vehicle market [1]. - Sales of Model S/X have been low, categorized under "other models" in Tesla's financial reports, with a projected total of fewer than 50,000 units for all four models by 2025, compared to 1,585,300 units for Model 3/Y [2]. - The peak sales year for Model S/X was 2017, contributing 99% of Tesla's total deliveries and over $10 billion in revenue, but they have since been overshadowed by Model 3 and Model Y [7]. Group 2: Business Strategy - Elon Musk's philosophy emphasizes reducing production costs to sell vehicles at lower prices, contrasting with traditional automakers that cover various price segments [6]. - The initial high pricing of Model S/X was intended to open market space and foster supply chain growth, paving the way for more affordable models [7]. - Tesla's long-term strategy involves shifting value from hardware to software, particularly in autonomous driving, necessitating high sales volumes to dilute development costs [10]. Group 3: Market Response and Future Plans - The decision to stop production of Model S/X is influenced by a significant shift in capital market sentiment, where investors are more focused on Tesla's AI and robotics initiatives than its automotive business [15][19]. - Following disappointing sales and financial metrics, Tesla's stock has paradoxically risen, driven by optimism around AI developments and future projects like Cybercab and Optimus [18][19]. - Analysts have adjusted Tesla's stock price targets based on AI-related expectations, with some firms raising targets due to positive developments in Robotaxi and FSD services, while others express concerns over high capital expenditures [22][19].
传闻华为将分拆数字能源?千亿资产待价而沽,谁将接盘?
3 6 Ke· 2026-02-02 00:22
光伏逆变器全球冠军、储能系统新晋巨头,华为数字能源这张王牌可能成为新能源行业史上最昂贵的交 易标的。 2026年1月下旬,一则传闻开始在能源和资本市场流传:华为可能正在为其明星业务数字能源寻找买 家。这块业务在2024年为华为贡献了686.78亿元收入,同比增长24.4%,是集团第三大营收来源。 与几年前出售荣耀不同,如果传言为真,这次华为面临的是一块结构复杂、估值可能高达数千亿元的巨 型资产。 全球光伏逆变器市场正经历周期性调整,机构预测2026年出货量将继续下滑。而储能行业则处于从"规 模扩张"向"价值提升"转型的关键节点。如果此时拆分出售,华为显然是在行业估值高点和自身战略转 型期之间,做出了一次精密的计算。 分析华为数字能源业务的价值,需要将其拆解为不同板块。 如果此刻出手,华为看到了什么市场信号? 全球能源市场正在经历深刻的结构性变化,如果华为选择在此时考虑分拆数字能源,背后将是多重市场 信号的叠加。 根据伍德麦肯兹数据,2024年全球光伏逆变器出货量达到589GW的高点后,市场已进入调整期,预计 2025年将下降至577GWac,2026年进一步下滑至523GWac。 这一下行周期背后是中国、欧洲 ...
高效招聘策略,做好这5点就足够了
3 6 Ke· 2026-02-02 00:16
Group 1 - The article emphasizes the importance of efficient interviewing and highlights that a clear talent profile is key to recruitment [1][2] - It discusses the significant costs associated with hiring unsuitable employees, which can amount to 15 times their salary [2] - The article provides insights into the recruitment practices of successful companies, such as ByteDance and Xiaomi, where founders personally conducted interviews for their early hires [3][4] Group 2 - The article outlines the process of creating a talent profile, which includes analyzing the company's current situation, talent reserves, and specific hiring needs based on the company's development stage [7][8] - It suggests using SWOT analysis to determine the quantity and quality of talent needed for the upcoming year [8] - The article stresses that the talent profile should be dynamic and involve collaboration between the CEO, business departments, and HR [11] Group 3 - The article details the interview process, recommending a structured approach that includes a brief introduction, an overview of the interview process, and a core questioning segment lasting 30-40 minutes [14][17] - It introduces three common interview methods: behavioral, situational, and stress interviews, each with specific applications and techniques [18][21][23] - The article emphasizes the importance of asking targeted questions and following up to ensure the accuracy and depth of candidates' responses [25][26] Group 4 - The article outlines principles for writing interview evaluations, including avoiding being misled by resumes, focusing on details, and assessing the problem-solving process rather than just the outcomes [30][31] - It suggests that evaluations should be based on the match between candidates' abilities and the job requirements, distinguishing between essential and discretionary behaviors [32] - The article recommends documenting candidates' responses and observations during interviews to maintain objectivity and provide a reference for future interviewers [34]
“新王”诞生,比亚迪大跌,雷军大动作
3 6 Ke· 2026-02-02 00:16
车企1月竞争格局生变:小米成"新王",比亚迪国内磨底 2月1日晚间,比亚迪发布产销快报称,1月销量达21.01万辆,同比下降30.11%,环比下降50.04%。 此前为了促进新能源汽车发展,国内新能源汽车购置税采取全额免征的政策,助力比亚迪等多家新能源车企快速发展。 对比来看,1月仍有多家新能源车企报喜。比如,小米汽车1月的交付量超3.9万辆,超越零跑汽车首次成为造车新势力月度销冠。 同时,赛力斯、蔚来公司、岚图汽车等主打中高端新能源汽车市场的车企,1月交付量(销量)同比分别增长104.85%、96.08%、31.29%。 多家车企掌门人此前预判,一旦走到这个时刻,燃油车和新能源汽车在某种程度上会迎来终极对决,并且会筛选出哪些新能源车企能够正向发展。 | 车企 | 2026年1月销量或交付量(辆) | 同比 | | --- | --- | --- | | 比亚迪 | 210051 | -30. 11% | | 吉利新能源 | 124252 | 2.63% | | 鸿蒙智行 | 57915 | 65. 53% | | 奇瑞新能源 | 52131 | -0. 08% | | 赛力斯新能源 | 43034 | 14 ...
一项非主流运动,何以通过市场化赛事破局?
3 6 Ke· 2026-02-02 00:11
唐政佳从酒店健身房出来的时候,已经是凌晨一点半。 3个小时前,CPB2026赛季立春联赛的外卡赛,进行到了第九局上半局的尾声。全场落后的福州海侠队掀起绝地反击,虽然已经有两人出局,但球队将分 差迫近到了两分,并攻占满垒。此时,防守方上海正大龙队如果出现失投,比赛结果有可能逆转。正大龙教练组不敢大意,换上了这个半局的第三位投手 ——唐政佳站上了投手丘。 日本著名导演竹内亮曾拍过一部以棒球教练为主角的纪录片《追"球"》,全片第一句旁白就说:很多中国人对棒球不感兴趣,这项运动在中国尚未普及。 所以,片中两位主角孙岭峰和张宝树不约而同提到,希望能培养出能打上美职棒MLB的球员,带动这项运动在中国大陆的热度。 唐政佳。 这是唐政佳本场比赛第一次出场,执行第一次投球。面对福州海侠的外籍强棒亨利,他压迫对方击出一记高飞球,队友成功接杀。上海正大龙有惊无险拿 下比赛,成功杀进第二天决赛,争夺CPB历史上首个冠军头衔。 决赛前的凌晨时分,唐政佳到健身房待了一个半小时,练了练肩膀的稳定性、小力量和腹肌。他告诉懒熊体育,对大部分中国大陆球员来说,CPB这种能 和海外选手同场竞技、十分商业化的棒球比赛,是之前没有过的经历。"可以看到 ...
想做制药届的AGI,「深度智耀」再获6000万美元融资|36氪首发
3 6 Ke· 2026-02-02 00:07
Core Insights - Deep Intelligence has recently completed a $60 million financing round, bringing its total funding to over $100 million in just two months, following a $50 million round in December [1] - The funds will primarily be used for upgrading the company's core technology system, which provides a full-stack intelligent solution for drug development, from preclinical research to post-market studies [1][4] Company Overview - Deep Intelligence offers a comprehensive AI-driven solution for pharmaceutical companies, enabling them to conduct clinical trials with high precision and efficiency, achieving a "zero revision" rate for clinical trial protocols approved by regulatory bodies [1][2] - The company has developed a "bionic brain" composed of high-precision "Atomic Agents" that handle various tasks in the clinical development process, ensuring scientific validity and compliance [2][3] Technological Advancements - The system incorporates a self-reflective process that allows for continuous improvement and error correction, enhancing the accuracy of medical terminology to over 99% [3] - A new Protocol Rehearsal AI has been introduced, which simulates clinical trials to predict outcomes and optimize resource allocation, potentially transforming the drug development process from labor-intensive to intelligent decision-making [3] Investor Perspectives - Investors express strong confidence in Deep Intelligence's ability to leverage AI in clinical research, highlighting its rapid iteration of AI capabilities and its potential to reshape industry cost structures and operational models [4][5] - The company is seen as a key player in the transition from labor-intensive to intelligence-driven drug development, with expectations for significant growth in the AI and healthcare sectors [4][5]