看了一圈美国大银行这两天披露的最新财报，看出了一股AI硬件股的感觉。 特别是高盛 $GS ：Net Income同比增长78%，Global Banking & Markets (GBM)板块里和交易相关的Equities业务同比增长72%，投行业务同比增长55%。 业绩普遍炸裂，尤其是Equity，FICC和投行业务的增速很猛（直接反应AI行情太热）。每家的ROTCE都在增长，运营杠杆都在拉升，效率都在优化，信用损失准备总额也都在同比下跌... $JPM 23% ROTCE The Corporate & Investment Bank (CIB) is now the primary profit engine, fueled by an 86% YoY acceleration in Equity Markets and a 30% jump in Investment Banking fees。 $BAC Global Markets net income spiked 72% YoY to $2.6B. Equities revenue surged an incredible 70% to $3.6B, and Total Investment Banking fees jumped 50%, proving BAC is fully capitalizing on a resurgent deal and trading environment. $GS Revenue accelerated to $20.34 billion (+39% YoY), driving a massive 78% YoY surge in Net Income to $6.63 billion. The engine room was Global Banking & Markets (GBM), which posted record Equities revenue ($7.4B, +72% YoY) and a 55% YoY jump in Investment Banking fees. The firm generated a dominant 23.5% annualized ROE $C Banking revenue surged 34% YoY, heavily powered by a 44% spike in Investment Banking revenues ($1.55B). Debt and Equity underwriting fees grew 65% and 92%, respectively. Similarly, Equity Markets jumped 45% YoY to $2.3B, driven by derivatives and a nearly 60% YoY explosion in prime balances Citigroup delivered a blowout Q2 2026, marking its highest quarterly revenue in ten years at $24.8 billion (+14% YoY). Net income surged 45% YoY to $5.8 billion, driving RoTCE to a robust 13.0%.

🧵 后端/基建开发推荐阅读的十篇论文 别只背八股了，很多面试题就是这些论文里的工程问题被压缩成的问答。 推荐按顺序读，强烈建议边读边画图/做笔记。 1️⃣ RocksDB： 看懂工业级 KV 存储怎么演进 RocksDB 这篇不是讲单个算法，而是讲一个 KV 存储在大规模生产环境里，优化重点怎么从写放大、空间放大一路转到 CPU 利用率。 Evolution of Development Priorities in Key-value Stores Serving Large-scale Applications: The RocksDB Experience 2️⃣ WiscKey： 理解为什么要把 key 和 value 拆开WiscKey 的核心是把 LSM-tree 里的 key 和 value 分离，减少 I/O 放大，尤其适合理解 SSD 时代 KV 存储的设计取舍。 WiscKey: Separating Keys from Values in SSD-conscious Storage 3️⃣ Vertical Paxos： 把主从同步放进共识算法里看很多高可用方案看起来只是“注册中心 + 主从同步”，但 Vertical Paxos 提供了更底层的解释框架。 Vertical Paxos and Primary-Backup Replication 4️⃣ PacificA： 工程里的强一致复制协议PacificA 讲的是日志型分布式存储系统里的复制框架，重点不是抽象共识理论，而是故障、恢复、对账这些工程细节。 PacificA: Replication in Log-Based Distributed Storage Systems 5️⃣ SWIM： 服务发现别只会说注册中心SWIM 把故障检测和成员变更传播拆开，用随机探测 + gossip 传播，解决大规模节点下全量心跳扛不住的问题。 SWIM: Scalable Weakly-consistent Infection-style Process Group Membership Protocol 6️⃣ TiDB： Raft 怎么落到 HTAP 数据库里TiDB 这篇讲 multi-Raft、行存、列存副本和 learner，适合看 Raft 怎么服务事务和分析混合负载。 TiDB: A Raft-based HTAP Database 7️⃣ Paxos vs Raft： 别把二者理解成口水战这篇用相同术语比较 Paxos 和 Raft，结论很实用： 二者整体方法接近，核心差异主要在 leader election。 Paxos vs Raft: Have we reached consensus on distributed consensus? 8️⃣ Paxos 和 Raft 的形式化映射： 把学术优化搬到工程系统上海交大这篇建立了 Paxos 和 Raft 的形式化对应关系，还讨论如何把 Paxos 优化迁移到 Raft。 On the parallels between Paxos and Raft, and how to port optimizations 9️⃣ PolarFS： 高性能共享存储里的 ParallelRaftPolarFS 为 PolarDB 做低延迟共享存储，里面提出 ParallelRaft，用乱序 I/O 能力突破 Raft 严格串行带来的吞吐限制。 PolarFS: An Ultra-low Latency and Failure Resilient Distributed File System for Shared Storage Cloud Database 🔟 X-Engine： 双 11 级 OLTP 存储引擎X-Engine 是阿里的 OLTP 存储引擎方向，适合看电商峰值流量下，存储层怎么做写入、压缩、缓存和冷热数据管理。 X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing

#为什么是中国# #WhyChina# The Global Logic of China's Economic Growth in the First Half of 2026: A 4.7% GDP Increase 2026年上半年GDP增长4.7%：中国经济增长的全球逻辑 According to the latest semi-annual report, China's gross domestic product (GDP) reached 69.6 trillion yuan, representing a year-on-year increase of 4.7% at constant prices, in line with the annual growth target. Against a backdrop of intertwined international complexities and volatilities, China's economic performance is commendable. Yet, a closer look at the data reveals that the logic underpinning China's economic growth is being reshaped. (I) At the Industry Level, Notable Highlights Emerge: First, new quality productive forces are being cultivated and strengthened at an accelerated pace.** In the first half of the year, industrial production grew robustly. The value-added output of the equipment manufacturing sector increased by 9.3% year-on-year, and that of high-tech manufacturing grew by 13.3%, both outpacing the overall growth rate of industrial output above a designated scale. This underscores a clear trend toward a high-end, intelligent, green, and integrated industrial structure. Looking at specific products, the output of 3D printing equipment, lithium-ion batteries, industrial robots, and other products emblematic of new quality productive forces surged. The average daily token call volume has reached hundreds of trillions, showcasing the vitality and potential of the digital and intelligent economies. Second, new growth drivers are accelerating to take on a leading role. Preliminary estimates suggest that new growth drivers—encompassing high-end manufacturing, the digital economy, and modern services—contributed over 40% to economic growth in the first half of the year. The economy's distinct shift toward a higher quality and more optimized structure is evident, and this overall trend is accelerating. For instance, industries related to artificial intelligence, such as integrated circuit manufacturing and intelligent vehicle equipment manufacturing, have all maintained high growth rates exceeding 30%, vividly illustrating the pace of China's industrial upgrading. Third, confidence on the investment front is on the rise. In the first half of the year, investment in high-tech industries grew by 4.6% year-on-year. Notably, investment in the manufacturing of aircraft, spacecraft, and equipment, computer and office equipment manufacturing, and information services grew by 23.3%, 8.1%, and 15.5%, respectively. Investment structure best reflects market expectations. The increasing "new economy content" in investments signals an acceleration in the replacement of old growth drivers with new ones. Investment in intellectual property products grew by 9.4%, indicating that enterprises are placing greater emphasis on R&D and innovation. This suggests that technological advancement is not simply about capacity expansion but about qualitative change driven by innovation. (II) Observing a Major Economy Requires Looking Beyond the Immediate Figures to the Long-term Trajectory. Behind the "new economy content" of the semi-annual report lies China's ongoing transformation from a global manufacturing hub to a global center of innovation. At the 17th Annual Meeting of the New Champions (Summer Davos), observers noted a new phenomenon: a host of unicorn companies are heading to China. They are establishing R&D centers, regional headquarters, and deeply integrating into China's innovation and industrial chains—shifting from "produced in China" to "created in China." So, why China? Economist Justin Yifu Lin, in his book *Demystifying the Chinese Economy, touched upon the theory of the "speed of technological change." He argues that the essence of the industrial revolution is not just the application of new technologies, but more fundamentally, the ever-accelerating pace of technological change. Since the mid-18th century, starting with the steam engine reshaping the textile industry, the snowball of technological change has grown, rapidly sweeping through industries like chemicals and automobiles, ultimately redrawing the geographical map of great power competition. Looking at China today, the trajectory of accelerating technological change is equally clear. A leading enterprise can drive an entire industry, which in turn can boost a whole region. These burgeoning industrial clusters, growing from saplings to forests, not only enhance production efficiency and invigorate market vitality but also effectively improve development quality and resilience. For example, specialized and sophisticated "little giant" enterprises above a designated scale in Beijing, through deep cultivation of innovation chains, supply chain collaboration, and international expansion, have become "connecting points" and "accelerators" for the dual circulation strategy. More importantly, emerging industrial clusters possess powerful spillover effects. The rapid rise of new energy vehicles is not only reshaping the automotive industry but also driving transformations in chips, software, and energy networks, allowing more sectors to gain value from efficiency improvements. The swift advancements in AI and biomedicine are sparking a "gentle qualitative change" in people's livelihoods, significantly enhancing the sense of fulfillment and well-being through smarter, more affordable products and more livable environments. (III) Looking from the First Half to the Full Year, China's Development Momentum Remains Positive. Of course, during this critical period of transitioning between old and new growth drivers, China's economy still faces lingering issues and new challenges. Some core areas are still grappling with "bottleneck" technologies, certain high-tech industries face external risks of "decoupling" and supply chain disruptions, and "involution"-style competition affects the new energy market ecosystem. However, most of these are issues arising from development and transition, and they can be addressed with effort. The supporting conditions and fundamental trends for long-term economic improvement remain unchanged. China's economic journey toward a newer, higher-quality model is itself a process of encountering new problems and solving them along the way. By maintaining confidence, proceeding steadily, and balancing both qualitative improvements and quantitative growth, China's industries are poised to be brimming with dynamism, and the Chinese economy will continue to advance steadily and sustainably. #China# #Jiangxi# #JiangxiEconomy# #世界经济看中国# #赣出新精彩#

吴说获悉，据 @Eugene_Bulltime 数据，围绕 Perp DEX Lighter 的 Builder Code 构建的协议交易量占比在过去 4 个月内从 0 增长至 5.4%，并在某些单日一度超过 10%，主要协议包括 Minara AI、Wallet in Telegram 和 Insilico Terminal。Lighter 的 Builder Code 与 Hyperliquid 类似，并允许第三方协议设定最高达 10 个基点的费用。

交易员 Eugene 宣布退出加密市场，称股票机会远超加密 交易员 Eugene 于 6 月 7 日表示，已退出加密市场并转向股票领域，认为股票在研究层面更具吸引力且交易与投资机会显着更多。Eugene 表示，鉴于加密市场当前走势，这一转变可能会持续，未来将远距离关注加密市场但不再参与，除非出现极具吸引力的风险回报机会，而目前看不到这种机会短期内出现的可能。 关于 Strategy（MSTR）与 Saylor，Eugene 认为这是整个崩解的开始，质疑 Saylor 是否真的比上周卖出了更多 BTC，即便有也只是在拖延问题。其表示在 MSTR 与 BTC 脱钩之前，BTC 从多头角度来看不可触碰，并称不知道底部在哪里，但已不再尝试抄底。

鳥哥 Eugene 再次喊多 - 未來一週將是正式啟動行情之時 💥 💡觀察整體成交量與未平倉合約（OI）水位，目前大多數幣種只需要相對少量的邊際買盤就能推動行情，這代表市場整體仍處於低配狀態 💡現在我們需要的，是 BTC 乾淨俐落地突破 8 萬美元，並帶動核心山寨幣（ETH / SOL / HYPE）同步啟動新的上升趨勢 我的看法是 1️⃣ 其實 $HYPE 又偷偷要破前高了... 穩到不行，但是假日明顯持倉變化增速快的幣種變少了，數據慘的可憐 2️⃣ 當前 BTC 現貨 ETF 流入速度趨緩，近兩日都是流出但金額不大，持續關注每天數據，有大額流出現象需注意風險 3️⃣ 下週川普訪華，市場預計又要有波動，鑑於 crypto 仍然會跟美股，到時候看美股如何走了 接下來值得關注的幾個時間點 🔴 5/13 週二 — CPI 🔴 5/15 週四 FOMC 🔴 美聯儲主席鮑先生 5 月 15 日屆滿，再來就是 Warsh 時代了