2月13日，央行数据显示，1月份人民币贷款增加4.71万亿元，智通财经C50风向指数调查预测中值为4.7 万亿元。分部门看，住户贷款增加4565亿元，其中，短期贷款增加1097亿元，中长期贷款增加3469亿 元；企（事）业单位贷款增加4.45万亿元，其中，短期贷款增加2.05万亿元，中长期贷款增加3.18万亿 元，票据融资减少8739亿元；非银行业金融机构贷款减少1882亿元。 ...

Core Viewpoint - The new housing market in second-tier cities shows signs of price stabilization, with a narrowing decline in sales prices in January 2026 compared to previous months, indicating a potential recovery phase in the real estate market [1][2]. Group 1: New Housing Market Trends - In January 2026, first-tier cities saw a 0.3% month-on-month decline in new residential sales prices, while second-tier cities experienced a 0.3% decline, narrowing by 0.1 percentage points [1]. - Year-on-year, first-tier cities' new housing prices fell by 2.1%, with the decline expanding by 0.4 percentage points compared to the previous month; second and third-tier cities saw declines of 2.9% and 3.9%, respectively, with both declines also widening [1]. - The easing of price declines in second-tier cities reflects a gradual stabilization, supported by existing housing demand and improved market expectations [1]. Group 2: Second-Hand Housing Market Insights - The second-hand housing market shows a notable narrowing of price declines, with first-tier cities experiencing a 0.5% month-on-month decrease, a reduction of 0.4 percentage points from the previous month [3]. - The 70-city second-hand housing price index fell by 0.5% in January, marking the lowest decline since August of the previous year, indicating a potential stabilization in the market [3]. - Core cities are witnessing a shift in landlord attitudes, with a decrease in listing volumes and improved transaction efficiency, suggesting a healthier market dynamic [3][4]. Group 3: Market Outlook and Policy Implications - The overall real estate policy direction is expected to remain focused on stabilizing the market and expectations, with a continued emphasis on targeted measures based on local conditions [4]. - The first quarter of 2026 is seen as a critical period for market trends, with expectations that new housing prices in first-tier cities may gradually stabilize and year-on-year declines may continue to narrow [4][5]. - Despite a rebound in transaction volumes, the stability of the market remains uncertain, with the sustainability of policy effects post-Spring Festival being a key factor for future demand [5].

凤凰网科技讯2月13日，蚂蚁集团开源发布全球首个基于混合线性架构的万亿参数思考模型Ring-2.5- 1T，在长文本生成、数学推理与智能体任务执行上达到开源领先水平，为智能体(Agent)时代的复杂任 务处理提供高性能基础支撑。 Ring-2.5-1T基于Ling2.5架构，通过优化注意力机制，显著提升长文本推理的效率与稳定性。模型激活 参数规模从前代的51B提升至63B，但在混合线性注意力架构的支持下，推理效率相比上一代大幅提 升。与仅具备32B激活参数的KIMI K2架构相比，在1T总参数量下，Ling2.5架构在长序列推理任务中的 吞吐表现依然优势显著，且随着生成长度增加，效率优势持续扩大。 目前，Ring-2.5-1T的模型权重与推理代码已在Hugging Face、ModelScope等主流开源平台发布。官方平 台Chat体验页和API服务将在近期上线。 在生成效率上，Ring-2.5-1T在32K以上长文本生成场景中，对比上代模型访存规模降低10倍以上，生成 吞吐提升3倍以上。在深度思考能力方面，该模型在国际数学奥林匹克竞赛(IMO2025)和中国数学奥林 匹克(CMO2025)自测均达到金牌水平 ...

2月13日，A股蛇年行情圆满收官，各大主要指数今年全线飘红。上证指数累计上涨25.58%，深证成指上涨 38.84%，创业板指以58.73%的涨幅强势领跑。蛇年A股市场交易活跃，"日成交超万亿"已成常态，日均成 交额跃升至1.89万亿元，较龙年大幅增长近七成，并且成交额超2万亿元的交易日占比达35%。个股层面， 全年近4700只个股收涨，其中779只股价翻倍，涨幅超200%个股逾百只。剔除次新股后，蛇年涨幅前三分 别为上纬新材、天普股份、嘉美包装，涨幅分别超1800%、900%、800%；同期仅23只个股跌幅超40%，8 只个股跌幅超50%，市场整体表现强劲。 44.59 北证50 15 30 45 60 0 截止交易日期：2026-2-13 *起始交易日期: 2025-1-29 ...

Seedream模型还引入了实时检索增强能力，它可通过联网检索，获取最新的知识和资讯，更精准地回应 具有时效性的创作需求。 凤凰网科技讯2月13日，字节跳动Seed团队推出Seedream5.0Lite智能图像创作模型。相比4.0版本，模型 在理解、推理和生成方面全面提升。作为通向统一多模态模型的进一步探索，它开始能像人类设计师一 样"理解"用户指令背后的意图，"看懂"不同画面中的规律，并将世界知识应用于图像与文本创作中。 ...

外观设计上，宋Ultra EV延续了比亚迪王朝网经典的"龙颜美学"设计语言。前脸采用封闭式格栅造型， 与贯穿式灯带呼应，下包围两侧导流槽尺寸大幅增大，优化了空气动力学性能。 凤凰网科技讯2月13日，比亚迪（002594）王朝首款B级纯电SUV——宋Ultra EV全新紫色涂装官图公 布，新车前脸线条融合东方美学与当代设计语言，侧面配备悬浮式车顶。 据报道，宋Ultra EV长宽高分别为4850/1910/1670毫米，轴距达到2840毫米，相较于宋L DM的 4780/1898/1670毫米(轴距2782毫米)，在长度、宽度和轴距上均有明显提升，成为目前宋家族尺寸最大 的车型。 ...

公开报道显示，字节跳动芯片业务始于2020年，目前已形成四大产品线，包括：AI芯片主要用于豆包 大模型推理；服务器CPU面向数据中心通用计算；VPU（视频处理单元）服务于视频解码与内容审核； DPU（数据处理单元）专注于数据中心网络优化。 此前消息称，字节跳动正在研发一款人工智能（AI）芯片，该芯片项目代号为SeedChip，并正与三星电 子洽谈代工事宜。该公司此举旨在确保先进芯片的供应。消息表示，字节跳动计划在3月底前收到芯片 样品。知情人士称，该公司计划今年至少生产10万颗用于AI推理任务的芯片。字节跳动正寻求逐步提 高产量，最终达到35万颗。 据36氪"智能涌现"报道称，字节跳动正持续推进自研芯片战略，其芯片团队整体规模近期已经扩充至千 人以上。 知情人士称，字节的AI芯片团队和CPU团队人数较多，其中，AI芯片方向人数过半，达500人以上， CPU团队在200人左右。 此外，消息称字节跳动近期也进行了一轮团队调整：原芯片业务负责人王剑不再分管该板块，AI芯片 与DPU团队负责人施云峰、CPU团队负责人余红斌将直接向公司副总裁杨震原汇报。 据"智能涌现"称，截至2025年年底，字节至少已经储备了近12万 ...

Core Viewpoint - The recent sell-off in the U.S. stock market, particularly affecting real estate service stocks, is driven by investor fears regarding the disruptive potential of AI applications in various industries [1][3]. Group 1: Market Impact - Several real estate service stocks, including CBRE Group and JLL, experienced significant declines, with CBRE dropping 12% and JLL falling 14%, marking their largest single-day drops since the COVID-19 pandemic [3]. - The commercial real estate sector is facing renewed challenges, exacerbated by the pandemic's impact on office demand and high interest rates affecting transaction volumes [3]. - Investors are increasingly withdrawing from high-fee, labor-intensive business models perceived as vulnerable to AI disruption, as noted by analysts [3][4]. Group 2: Broader Industry Concerns - The sell-off has extended beyond real estate, affecting SaaS, insurance brokerage, and wealth management stocks, indicating a widespread concern about AI's potential to disrupt various sectors [4][5]. - Companies like CBRE and JLL are attempting to mitigate downward pressure by diversifying into property management and valuation across various sectors, including hotels and life sciences [4]. - Analysts express that the recent stock price declines may be overreactions, as the risks associated with AI disruption have been present for some time and are not new [4][5]. Group 3: AI Disruption Debate - The introduction of AI tools, such as those by Anthropic, has intensified fears of industry-wide disruption, leading to a "sell first, ask questions later" mentality among investors [4][6]. - Concerns about AI's impact on employment and commercial real estate demand are prevalent, but some analysts argue that the actual threat to leasing and capital markets is limited [4][6]. - The market's reaction reflects a broader anxiety about potential reversals in stock valuations, driven by recent AI spending and a resilient U.S. economy [6][7].

Core Viewpoint - Apple experienced its worst trading day since April of the previous year due to delays in the AI update for its voice assistant Siri and scrutiny of its news application by regulatory authorities [1][2]. Group 1: Stock Performance - As of Thursday's market close, Apple's stock price fell by 5%, erasing all gains made in 2026, with a cumulative decline of nearly 4% year-to-date [2]. - The stock's recent performance has been influenced by concerns from Wall Street regarding excessive spending by large tech companies in the AI sector [3]. Group 2: Product Updates - Reports indicated that the highly anticipated Siri AI update has been postponed internally to May or even later, with features now expected to be rolled out in phases over several months [2]. - Despite the delays, Apple stated that it still plans to launch the Siri update as scheduled in 2026 [3]. Group 3: Regulatory Scrutiny - The U.S. Federal Trade Commission (FTC) has warned Apple against suppressing conservative content on its Apple News platform, indicating that such practices could violate laws aimed at preventing corporate deception of consumers [3].

Core Viewpoint - Google is under investigation by the EU for potential illegal manipulation of search engine advertising pricing, which may harm advertisers' interests [1][2] Group 1: Investigation Details - The European Commission sent letters to potentially affected companies on February 9, expressing concerns that Google may have artificially raised auction prices in advertising [1] - If evidence supports these allegations, Google could face fines of up to 10% of its global annual revenue, which could exceed $40 billion (approximately €33.7 billion) based on its reported revenue of $402.836 billion for 2025 [1] - The investigation is still in its early stages, but it may soon be formally announced by the EU's antitrust chief, Teresa Ribeiro [1] Group 2: Previous Penalties and Context - Google has previously been fined a total of €9.5 billion (approximately $11.3 billion) by the EU, including a nearly €3 billion (approximately $3.56 billion) fine last September for distorting competition in the advertising technology sector [2] - This latest investigation is part of a series of inquiries by the EU into Google's practices, including a December investigation into Google's use of online content for AI development [3] Group 3: International Relations - The EU's increased regulatory scrutiny of large tech companies has drawn criticism from the U.S., with past pressures on the EU to relax its tech regulations and threats of tariffs [3] - Further penalties against Google could exacerbate tensions between the EU and the Trump administration in the U.S. [3]