如果你最近经常网上冲浪，比如刷小红书和微博啥的，那么你很有可能会像托尼一样，大半夜在被窝里点进一个帖子的图片，结果突然被高亮的屏幕闪瞎 双眼。。。 而且经常是这种只有图片超级亮，但是屏幕其它地方却无事发生的情况。。。 怎么说呢，虽然突然被闪确实有点不习惯，但这图片看着也确实是清晰通透，质量比以前高了好几个档次。 而你之所以会莫名其妙吃一个闪光弹，是因为各大手机厂商和社交媒体最近都在努力适配一个叫做 HDR 图片的东西。 HDR 这个东西你可能接触很多了，但大伙可能不知道的是，社交平台真正让不同手机都支持查看和分享 HDR 图片这件事，直到 2025 年才称得上是 "元 年" 。 给大家展示一个最直观的例子，在两三年前，当你把一张 HDR 照片发给一个不支持 HDR 格式的设备时，那么你的照片就可能会像下面这样直接裂 开。。。 左，原图；右，对方设备 不是，不支持就算了，看都不让看是几个意思。。。 而要说明白 HDR 为啥会出这样的毛病，咱还得从一开始讲起。 大伙的照片显示标准一般分为两种，SDR 和 HDR ，而 SDR（标准动态范围）就是以前的格式了。 早期的数字图像一般就是 SDR 格式，最早甚至可以追溯 ...

如果说三年前ChatGPT的横空出世，是推倒多米诺骨牌的第一指，那么三年后的今天，我们正身处这场骨牌相继倒地的连锁震荡中。在这一波 几乎每天都在更新迭代的技术浪潮中，大多数企业管理者正感到前所未有的迷茫：风口变幻莫测，战略究竟该怎么定？ 在ChatGPT诞生三周年的今天，中欧国际工商学院战略学教授张宇，并未随波逐流地预测技术走向，而是从商学院教授的视角，回归商业本 质，梳理出AI时代战略制定中那些"不变"的底层逻辑：在这个充满不确定的时代，不妨先确立那些确定的事。 毫无疑问，过去三年中，以生成式AI（Generative AI）为代表的新一代AI技术，给人类社会带来了深远改变，从大幅提升工作速度（尤其是入门级的图文 和编程工作），到节约工作时间，再到节约成本和提升利润，以及威胁和替代工作岗位（尤其是初级岗位和年轻人的就业机会），让我们几乎每天都感到 震惊与惊叹。 时至今日，恐怕绝大多数人都会同意，这一波AI技术是自蒸汽机、电力、计算机/互联网之后，对人类社会产生深远影响的"第四次技术革命"。 那么，为什么生成式AI会对我们的社会尤其是商业活动产生如此巨大的影响和改变呢？究其原因，恐怕是因为生成式AI是迄今为止 ...

On November 30, 2022, OpenAI introduced a new product to the world, innocuously describing it as “a model called ChatGPT which interacts in a conversational way.” It’s no hyperbole to suggest that ChatGPT subsequently transformed the worlds of business and tech, becoming enormously popular — it’s still in the number one spot on Apple’s free app rankings today — while also serving as the catalyst for a flood of generative AI products. It’s even made people suspicious of the em dash, which no chatbot will ...

Cathie Wood, head of Ark Investment Management, is best known for betting on early-stage tech names and high-growth innovators. But occasionally she makes a move into the megacap space when she sees value. That’s what Wood did in the past week (Thanksgiving Week), adding about $56 million worth of a megacap tech name, one of her largest recent purchases. Wood gained a reputation after the Ark Innovation ETF delivered a 153% return in 2020. Year-to-date, Wood’s flagship Ark Innovation ETF (ARKK) is up abou ...

Core Insights - The competition between Google's TPU and NVIDIA's GPU is intensifying, with reports indicating that Google's Gemini 3, trained on TPU, outperforms OpenAI's ChatGPT 5, which is trained on NVIDIA's GPU [1][3] - The stock market has reacted to this competition, with NVIDIA's shares dropping by 12.59% while Google's shares rose by 12.85% since November [1] - The rise of Google's TPU may present both opportunities and challenges for Chinese companies embedded in the global computing power supply chain [1] Custom vs. General Chips - The battle between Google TPU and NVIDIA GPU is framed as a competition between customized chips and general-purpose chips, focusing on efficiency and cost rather than a direct rivalry [2] - Historical parallels are drawn to other industries where both types of products coexist, suggesting that TPU's core demand is cost reduction [2] Technical Architecture Differences - Google's TPU is seen as superior in performance and cost, but NVIDIA's GPU offers better ecosystem openness and compatibility [3] - Despite TPU's advantages, NVIDIA's GPUs remain the preferred choice for many manufacturers due to their strong compatibility with existing technologies [3] Future Market Dynamics - The competition is likened to a relay race, with both companies rapidly iterating their chip technologies [4] - Predictions indicate that by 2029-2030, the market share between customized chips and GPUs may reach a 50-50 split, although NVIDIA is expected to maintain dominance until around 2026 [4] Impact on Supply Chain - The competition for computing power is driving higher demands for data transmission efficiency, benefiting hardware supply chains, particularly in the light module and PCB sectors [5][6] - If Google's TPU gains market share, it could lead to significant growth in the light module market, with estimates suggesting TPU v7 may require 3.3 times more light modules than NVIDIA's Rubin [7] Investment Sentiment - While there is optimism about TPU's cost advantages, some investors express caution, noting that a shift to lower-cost TPUs could lead to valuation pressures in the hardware supply chain [8] - The current AI landscape is characterized by a lack of standout applications, with the focus still on computing power rather than software solutions [9] Broader Industry Implications - AI is reshaping traditional industries, with key areas of focus including humanoid robots, smart driving, and AI in drug development [10] - The ongoing debate about whether the AI sector is experiencing a bubble is influenced by comparisons to the 2000 internet bubble, though current indicators suggest a healthier industry with strong revenue growth [11][12] Valuation Perspectives - Current AI leaders have lower projected P/E ratios compared to the peak of the internet bubble, indicating a more sustainable growth outlook [12] - The potential for AI applications to emerge as market leaders remains uncertain, with the need for significant breakthroughs to validate current valuations [13]

Group 1 - Investing in technology companies can yield strong long-term returns, with a focus on disruptive and innovative businesses [1] - Alphabet is highlighted as a top choice for tech-stock investors, being a leader in artificial intelligence and recently launching the Gemini 3 Pro large language model [3][4] - Alphabet's Google Search segment accounted for 55% of overall Q3 revenue, benefiting from a significant network effect that enhances its market position [4] Group 2 - The company's valuation is considered reasonable, with a price-to-earnings ratio of 31.5, despite a 69% stock increase in 2025 [5] - Alphabet generated $24.5 billion in free cash flow last quarter and holds $98.5 billion in cash and marketable securities, indicating strong financial health [5] - The Motley Fool Stock Advisor analyst team has identified 10 stocks they believe are better investment options than Alphabet at this time [6][7]

Google’s Play Store Update—Delete All These Spyware Apps NowSpyware takes on many forms. It’s on your phone right now. While “malicious spyware” may generate headlines and prompt Google (and Apple) to force delete thousands of apps, most spyware is better hidden. It tricks you into granting access to your location and sometimes your camera and microphone. Then it sends this data to its handlers. https://t.co/f14s2vj356 ...

二是谷歌自研AI芯片TPU（张量处理单元）相关消息引发资本市场关注。摩根士丹利认为，TPU业务或为谷歌销售额和盈 利带来温和提振。 本周（11月24日至28日），谷歌产业链概念股成交活跃，多只个股创历史新高。其中，中际旭创明显放量，本周成交额为 1157.22亿元，是A股市场成交额唯一破千亿元的个股。 Choice数据显示，本周共有42只个股股价创历史新高（不含近一年上市的次新股，按前复权价、涨跌幅复权算法统计，下 同），11月以来，每周创新高个股逐渐减少，市场情绪有所回落。拉长时间维度看，今年以来截至11月28日，已有1013只 个股股价创历史新高。 上述42只个股中，按照申万一级行业进行划分，电子、机械设备、电力设备行业创新高的个股较为集中，分别为8只、6 只、4只。从上市板块看，主板股票13只、科创板股票11只、创业板股票17只、北交所股票1只。 从成交额看，上述42只个股中，中际旭创、赛微电子、光库科技、易点天下、长盈精密本周成交额居前，分别为1157.22 亿元、397.24亿元、293.30亿元、283.95亿元、268.46亿元。 数据来源：Choice 截至11月28日（建议全屏观看） 上述成 ...

Core Viewpoint - The article emphasizes the potential of investing in the AI industry through ETFs, particularly the Vanguard Information Technology ETF, which provides diversified exposure to leading technology companies involved in AI [1][3]. Industry Overview - The global AI market is projected to exceed $826 billion by 2030, indicating significant growth potential despite its unpredictability [1]. - Advancements in AI could lead to developments such as humanoid robotics, transitioning from science fiction to reality [2]. ETF Analysis - The Vanguard Information Technology ETF (VGT) is highlighted as a suitable investment for those seeking growth without the complexities of selecting individual AI stocks [3]. - Although not a dedicated AI ETF, VGT includes many leading AI companies among its top holdings, such as Nvidia, Apple, and Microsoft, which are integral to the AI ecosystem [4][5]. - The ETF's top 10 holdings include major players in the technology sector, reinforcing its relevance to the AI market [6]. Performance Metrics - VGT has a long-standing track record of outperforming the broader stock market, attributed to the increasing importance of technology in the economy [9]. - The ETF charges a low expense ratio of 0.09%, which is significantly lower than many dedicated AI ETFs, potentially enhancing long-term investment returns [8]. Market Dynamics - The technology sector, including AI, is becoming increasingly vital across various industries, with traditional sectors adopting technology for efficiency and optimization [10]. - Despite the potential for explosive growth, the ETF and technology stocks are subject to volatility, with historical declines noted during market downturns [12][13].

Core Insights - Berkshire Hathaway has acquired 17,846,142 shares of a prominent AI stock, valued at $4.3 billion, making it one of its top 10 holdings by value [1][2] - This marks a significant shift in Warren Buffett's investment strategy, as he has historically avoided AI stocks [1][2] - The recent purchase of Alphabet (Google's parent company) suggests a growing bullish sentiment towards AI within Berkshire Hathaway [8][11] Company Holdings - Berkshire's largest position remains in Apple, valued at over $60 billion, despite a previous peak of over $200 billion [4] - Berkshire has also held a multibillion-dollar position in Amazon since Q1 2019, with Amazon Web Services (AWS) being a key player in AI infrastructure [5] - The recent acquisition of Alphabet stock indicates that Berkshire now has three major companies with direct ties to AI: Apple, Amazon, and Alphabet [11] Investment Strategy - The decision to invest in AI stocks may not have been solely made by Buffett, as portfolio managers Todd Combs and Ted Weschler have been instrumental in previous significant purchases [6][9] - Buffett has expressed regret for not investing in Alphabet earlier, indicating a potential shift in his investment philosophy towards technology and AI [9][10]