Core Viewpoint - The 2025 India-Pakistan conflict resulted in a military defeat for India, raising significant concerns about government corruption in India and its impact on military effectiveness [10]. Group 1: Military Defeat and Its Indicators - The conflict revealed stark differences in military losses between India and Pakistan, with India losing 6 aircraft compared to Pakistan's 0, and suffering damage to 11 airbases versus Pakistan's 3 [11]. - The operational performance of Indian military equipment was severely compromised, with the Rafale fighter jets having an average operational rate of only 35%, significantly lower than Pakistan's JF-17 at 85% [12][13]. - India faced critical issues in equipment compatibility, logistics, and electronic warfare capabilities, leading to a lack of real-time communication and operational efficiency [12][13]. Group 2: Corruption's Systemic Erosion of Military Capability - Corruption in defense procurement is pervasive, with notable cases such as the Rafale fighter jet deal, where $1.2 billion was confirmed as bribe money out of a total contract of $8.8 billion [14]. - The Indian defense sector has seen significant delays and cost overruns, exemplified by the submarine procurement scandal, which resulted in a reduction of operational submarines from 21 to 14 [14]. - The misuse of military research and development funds has been reported, with $4 billion being laundered through offshore accounts, contributing to a high rate of aircraft crashes due to substandard parts [14][15]. Group 3: Political and Economic Corruption Mechanisms - Corruption extends beyond military procurement to include land deals and logistics, with military officers reportedly charging bribes for promotions, indicating a deep-rooted culture of corruption within the military hierarchy [14][15]. - The procurement of military supplies has been marred by financial misconduct, leading to shortages in essential supplies for frontline troops [15].

Core Viewpoint - Stablecoins represent a significant innovation at the intersection of blockchain technology and traditional finance, with a market size of $250 billion projected by May 2025, highlighting their rapid development and potential to reshape payment systems [5][6]. Group 1: Comparison of Stablecoins and Traditional Payment Systems - Stablecoins utilize distributed ledger technology for peer-to-peer transactions, offering features such as programmability and faster transaction speeds, completing transactions in seconds compared to traditional systems that may take 1-3 business days [6][7]. - The cost structure of stablecoins is significantly lower, with transaction fees for USDT on the Solana chain as low as $0.0001, while bank wire transfers average 1‰ plus additional fees [7][8]. - Stablecoins operate 24/7 without the limitations of traditional banking hours, enhancing accessibility and efficiency in financial transactions [8]. Group 2: Risk Characteristics - Stablecoins face unique risks, including credit risk from issuer defaults, liquidity risk during redemption, operational risks from smart contract vulnerabilities, and legal risks from regulatory changes [10]. - Traditional payment systems also carry risks, such as credit risk from bank failures and operational risks from human errors [10]. Group 3: Regulatory Framework Differences - The U.S. is advancing a federal regulatory framework through the GENIUS Act, mandating that stablecoin issuers maintain reserves in cash or short-term U.S. Treasury securities, with monthly disclosures [11][20]. - In contrast, Hong Kong's Stablecoin Ordinance requires a minimum capital of HKD 25 million for stablecoin issuers and emphasizes a regulatory framework that allows for multi-currency stablecoins [11][24]. Group 4: Market Acceptance and Future Trends - Stablecoins are increasingly integrated into various applications, with 65% of stablecoin transaction volume attributed to crypto trading and projected B2B payments reaching 1.2 trillion RMB by 2024 [15][18]. - The market for stablecoins is expected to grow significantly, with optimistic estimates suggesting a market cap of $3-6 trillion by 2030, while conservative estimates predict a growth to over $500 billion by 2027 [17][18]. Group 5: Geopolitical Financial Implications - The U.S. aims to maintain the dollar's global reserve currency status through stablecoin regulation, while Hong Kong seeks to establish itself as a bridge for offshore RMB stablecoins, enhancing its role in international trade [23][33]. - The regulatory landscape is evolving, with the potential for stablecoins to impact cross-border payments significantly, as evidenced by a 320% increase in cross-border payment orders using stablecoins in the Middle East [13][36].

限时 免费领取 7 日体验会员 - 黄金持续震荡，是否还是好资产？ 参与方式 联系任何一位徐彬助理 回复暗号 【开放日】 即可领取 开放日活动仅限：6月9日-6月11日，错过等半年！ 【非会员朋友】 欢迎你来 参加本次开放日活动 体验我的会员内容，里面会更深入分享全球 市场的"投资信息差"。参与活动之后7天内，即可看之前的所有直播回放和下周三的精彩闭门 直播。 【本周的闭门直播很精彩，欢迎看回放】 -最近"熔断"的稳定币是什么？ -港股疯涨，下半年会保持趋势吗？ 老徐会员开放日 【会员朋友】 如果你的会员快到期啦，欢迎下周一来直播间续费，价格超超超划算～会员时 长还长的朋友可以来直播间参与抽奖，我们给大家准备了超多礼品 ...

Core Viewpoint - The report by Mary Meeker highlights the rapid adoption of AI technology, surpassing previous technological advancements in speed and scale [2][5][14]. Group 1: AI Adoption and Investment - AI is being adopted at an unprecedented pace, faster than any previous technology [5]. - Major tech companies are investing heavily in AI, with resources available for continued investment [6]. - The cost of using AI is rapidly decreasing due to advancements in technology and infrastructure investments by tech giants [7]. Group 2: Market Dynamics and User Demographics - Both tech companies and traditional enterprises are increasingly recognizing the importance of AI [8]. - AI products have good monetization potential, but their valuations are notably high [9]. - China has reached a leading level in AI model capabilities, particularly excelling in industrial AI [10]. Group 3: Global Internet Access and AI Opportunities - Approximately 2.6 billion people, or 32% of the global population, are still offline, but satellite internet will enable them to connect, likely using AI products first [10][15]. - The rapid growth of AI usage is evident across age and geographic boundaries, with the fastest growth among users aged 65 and above, and developing countries adopting AI faster than developed ones [14].

文字版速览 印度最近公布的GDP增速表现超出预期，显示出一定的经济韧性，但制造业采购经理指数（PMI）有所 回落，数据呈现出一定矛盾，反映经济仍存在不稳定因素。同时，阿拉尼集团因涉嫌进口伊朗液化石油 产品被美国司法部调查，美国对印度购买俄罗斯武器及其加入金砖国家表现出不满，显示印度在国际政 治中采取了"左右逢源"的策略，但这一策略也引发了美国的警惕和不满。 印度市场目前处于横盘阶段，估值回落至44倍左右，市场氛围并不算低。对此，我持较为谨慎的态度。 之前小规模参与的印度投资实验获得一定收益，但对整体印度市场仍保持审慎。具体来看，印巴冲突中 印度军事实力表现不佳，花费2.4亿美元购买的法国阵风战斗机，战绩不及中国约8000万美元的歼10战 机，暴露出印度军队体系作战和装备问题。传言印度政府存在腐败，莫迪领导下有资金回扣，且所购飞 机为阉割版，进一步加剧了对印度政治和治理能力的疑虑。 此外，有印度学者质疑GDP数据的真实性，存在虚构的可能。莫迪虽被部分人视为清心寡欲、致力于国 家发展的领导，但从实际表现来看，印度在军事和治理上的不足令人担忧。印巴冲突后的官方宣传与事 实严重脱节，国内举行了长达十天的胜利游行，缺乏 ...

【 强 烈建议直接看】 本段视频精华，逻辑更完整 文字版速览 欢迎大家 点击【预约】 按钮 预约 我 下一场直播 本文重点 观点来自： 6 月 3 日本周二直播 传送门 【非会员朋友】 如果你也关注 稀土和电力 欢迎你来体验我的会员内容，里面会更深入分享 全球市场的"投资信息差"。现在下单15天体验，一起交个朋友 （下单后留意短信，点击短信里的链接联系我们领取权益） 注：以上跟投资结论相关的内容出自闫红（证书编号A20230217000983） 最近我们会员专属闭门直播中会重点聊到稀土这个话题。稀土之所以重要，是因为它在电机中的应用， 特别是在机器人电机上的不可替代性。举个例子，电动车的发动机其实是电机，而机器人关节处的驱动 装置（英文叫activator，中文称为驱动器）体积更小，对电机效率要求更高。虽然马斯克已经实现了电 动车电机不再依赖稀土，但机器人电机因体积更小，效率要求更高，依然需要用到稀土中的永磁材料以 提升性能。 以上及直播内容的目的是投资者教育，希望大家从案例中学习管钱知识，因此不构成任何形式的投 资建议和推荐，投资有风险，交易需谨慎！ 如果机器人产业爆发，对稀土的需求必然大幅提升，这是无法绕 ...

欢迎大家 点击【预约】 按钮 本文重点 观点来自： 6 月 3 日本周二直播 【 强 烈建议直接看】 本段视频精华，逻辑更完整 文字版速览 一、财务表现与业绩结构拆解 预约 我 下一场直播 "NIMs"（NVIDIA Inference Microservices）成为关键转折点，标志着从大模型阶段迈向Agent阶段。未 来AI不仅用于聊天交互，而是具备感知、推理与执行能力的智能体，将在实际业务中承担更多职责。 NIM提供标准化、容器化AI微服务，加快部署效率，支撑企业级AI应用落地。 "AI工厂"的概念代表数据中心角色的根本性转变——未来不再只是处理计算任务，而是批量生成AI智能 体，作为企业的"虚拟员工"运行于各类场景中。这一趋势背后，是英伟达软硬一体化生态能力的系统体 现。 三、中美市场影响与全球交付逻辑 英伟达未正面详细回应出口管制影响，但表示正以极快速度向全球客户交付新产品，包括中国市场在 内。这说明公司正在调整产品结构，以合规方式保障中国业务的持续性。 英伟达2025财年第一季度营收达260亿美元，同比增长262%，环比增长18%；毛利率78.9%，同比提升 12.6个百分点，环比提升1.8个百分 ...

欢迎大家 点击【预约】 按钮 预约 我 下一场直播 本文重点 观点来自： 6 月 3 日本周二直播 【 强 烈建议直接看】 本段视频精华，逻辑更完整 特斯拉正式宣布，将于6月12日在德州奥斯丁启动Robotaxi的试运行，这一时间节点非常关键。结合近 期互联网女王发布的AI趋势报告，我们可以看到无人驾驶出租车业务在旧金山已经得到了实质验证。 漂亮国的Uber和Lyft市场份额正在被谷歌旗下无人驾驶出租车服务Waymo蚕食，尽管两者定价相近，但 消费者对无人驾驶出租车的接受度和需求明显更高，这说明无人驾驶出租车拥有巨大的市场潜力。 Waymo的实践验证了产品可行性，这为整个无人驾驶行业树立了标杆，即"产品需求已验证"。而接下 来，关键就在于如何做大规模复制和扩张。这正是特斯拉的优势所在，特斯拉采用的是纯视觉技术路 线，技术具有高度通用性和复制性，且其数据积累丰富，远超竞争对手。因此，我认为特斯拉很可能正 处于无人驾驶商业化的拐点。 特斯拉先从德州奥斯丁验证技术成熟度，一旦确认成熟，接下来的全国范围扩张将非常迅速。相比 Waymo的技术依赖高成本高清地图和局部适应，特斯拉的纯视觉系统更易推广到不同地区。特斯拉目 ...