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Agent Battery:Claude Code 用量监控的 Mac 状态栏小工具 👉
🍁LIMITED🍁 External battery Pet girlfriend foxy Try a very cute & new merch ! : : 🍁限量🍁 秋日狐狸女友 行動充 希望大家喜歡這次很特別的小新品🥰
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把 AI 剩余额度 用电量百分比 的形式展示是什么样的体验?🤡 试试 Agent Battery 这个小工具,挺适合 Claude Code / Codex 重度用户的 它把 AI 编程工具的剩余用量,直接显示成 Mac 状态栏里的 电量百分比 : ✅ 支持 Claude Code & Codex ✅ 显示 5 小时额度、周额度和重置时间 ✅ 读取本地文件,不需要 API Key ✅ 适合经常在终端里跑任务、排查 Bug 的开发者 让你提前知道:我还剩多少用量,什么时候恢复 对高频 AI 编程用户来说,这种小提示非常nice
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🇺🇸 美国 AI/科技公司融资 大模型 & AI基础设施 1. Factory — $150M C轮(AI开发平台) - 旧金山,专注AI-native软件工程 - 🔗 2. Cerebras — $20B+ 框架协议(AI芯片) - 与OpenAI签署协议,提供750MW超低延迟推理能力 - 2026年3月与AWS合作集成CS-3到Amazon Bedrock - 🔗 3. Shield AI — $1.5B G轮 + $500M优先股(国防AI) - 估值$12.7B,同比↑140% - 美国空军选定其Hivemind软件用于协作作战飞机项目 - 预计2026年收入$540M+(↑80%) - 🔗 4. xAI — $10B(Elon Musk的AI公司) - $5B战略股权 + $5B定期贷款和担保票据 - 🔗 --- AI应用公司(企业服务/SaaS) 5. Lyzr — 估值$250M(AI Agent基础设施) - 帮助企业构建与企业数据和应用交互的AI Agent - 提供安全部署和管理AI Agent的工具 - 🔗 6. Humand — $66M(无办公桌工人操作系统) - 面向零售、制造、物流等行业的前线员工 - 移动优先的AI工作流、内部通讯和HR系统 - 🔗 7. Savvy Wealth — $72M B轮(财富管理AI) - 为财务顾问提供AI工具 - 累计融资$106M - 🔗 8. Sona — $45M(薪资和劳动力管理) - 面向零售、酒店、医疗等前线行业 - AI驱动的排班、预测和工资准确性工具 - 🔗 9. Stedi — $50M(医疗保健交易处理) - 连接医疗服务提供商、付款方和清算所 - 标准化碎片化数据流,减少人工对账 - 🔗 10. Yuzu Health — $35M A轮(健康保险运营) - 理赔裁决、计划配置和入职软件 - 使用AI简化通常依赖多个中介和人工检查的流程 - 🔗 11. Levelpath — $55M B轮(采购AI) - AI Agent自主处理企业采购任务 - 由Battery Ventures领投 - 🔗 12. Patlytics — $40M B轮(法律AI) - 专利分析和知识产权AI平台 - 🔗 13. Luminai — $38M B轮(企业AI) - 🔗 14. AfterQuery — $30M A轮(数据AI) - 🔗 15. Parasail — $32M A轮(AI云基础设施) - 🔗 16. Phonely — $16M A轮(AI语音通信) - 🔗 17. Variance — $21.5M A轮(合规自动化) - AI Agent摄取监管文件、映射要求、监控合规差距 - 🔗 18. NeuBird AI — $19.3M(IT预测监控) - 分析日志、指标和信号,在问题升级前发现 - 自动触发修复(重启服务、重新分配资源) - 🔗 --- 🇸🇬 新加坡/东南亚 AI公司 19. SleekFlow — 累计$23.5M(全渠道AI对话平台) - 覆盖新加坡、香港、马来西亚、印尼、巴西、阿联酋 - AI Revenue Agent处理线索资格审查、产品推荐、收款、预约 - 🔗 20. ViSenze — 视觉AI平台(零售/电商) - 为零售和电商客户提供视觉搜索AI - 提高参与度、平均订单价值和产品发现速度 - 🔗 --- 🇪🇺 欧洲 AI公司 21. Unique — $30M A轮(金融AI) - 苏黎世,为资产管理、财富管理、零售和私人银行提供专业AI平台 - 支持Pictet、UBP、SIX、LGT、Partners Group等客户 - 为30,000名金融专业人士提升研究、合规和KYC效率 - 由CommerzVentures和DN Capital领投 - 🔗 22. 欧洲AI融资趋势 - 2024年:€4.1B / 233笔交易 - 2025年:€10.6B / 662笔交易(↑158%) - 西班牙成为潜在黑马,瑞典成为最热门AI中心 - 机器人技术成为欧洲认为可以胜出的领域 - 🔗 --- 🌍 全球隐身/新兴公司 23. AAI(Amnon Shashua的隐身AI创业公司) - 估值超$1B,融资数亿美元 - Shashua是Mobileye创始人,TIME 100 AI影响力人物 - 2026年Mobileye估值$11.5B,将为Uber和Lyft的机器人出租车提供动力 - 同时创立Mentee(机器人)和AI21 Labs(正在谈判$300M新融资) - 🔗
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AI正在重构整个半导体产能分配体系 ai爆发之前,半导体行业是一条单行线:先进制程不断升级,成熟制程逐渐淘汰。但AI不只是推动EUV需求暴涨,而更近一步的推动全产业链产能争夺。 AI GPU、HBM、AI ASIC开始疯狂吞噬先进制程产能,因为AI芯片背后的单位经济模型远高于传统消费电子。一片先进GPU wafer,最终可能对应几十万美元级别的AI服务器和长期云租赁现金流。于是foundry天然优先分配给AI GPU、TPU、custom AI ASIC、HBM。 于是整个外溢链条开始形成。第一层是原本依赖先进EUV的一部分产品,开始长期停留在older nodes。最明显的是手机SoC、消费GPU、PC CPU、Networking ASIC、DPU、Switch ASIC。这些产品理论上应该继续往3nm、2nm迁移,但现实是先进wafer越来越贵,EUV slot越来越难抢,AI客户越来越愿意支付更高价格。 很多产品接下来很可能不得不开始延长旧节点寿命,停留在N5/N6/N7,更多依赖ArFi immersion,增加multi-patterning,用chiplet替代纯缩节点。 手机这样的迹象刚刚开始。过去手机换机周期大约18-24个月,现在很多地区已经拉长到36-48个月。旧旗舰仍然足够强,大部分用户感受不到必须升级的必要。于是手机行业进入一个非常特殊的阶段:旧手机还能用,新AI体验又没强到必须换机。接下来我们很可能看到的可能会是,只有真正高端旗舰还在继续抢最先进EUV,中低端Android 要么被淘汰,要么其SoC大量停留在6nm、7nm、8nm、12nm,很多厂商已经开始放弃继续 aggressively 追逐最先进节点。 但手机行业最终还是会重新争夺先进制程,真正的原因不是CPU,而是功耗。手机是电池设备。未来如果本地AI agent、实时视觉理解、长时记忆、always-on AI OS、后台持续推理开始普及,那么TOPS/W、memory bandwidth、SRAM/cache、先进封装会重新变得极度重要,否则发热和续航会变得不可接受。 下一层外溢,是高端DUV。很多人过去认为EUV会逐渐淘汰DUV,但现实完全相反。AI时代实际上正在让ArFi immersion重新战略化。因为即使是EUV时代,大量关键层仍然依赖ArFi immersion、ArF dry、KrF。尤其advanced NAND、DDR5、HBM、Networking ASIC、optical DSP、SerDes、Switch ASIC,本身就高度依赖高端DUV。AI越发展,对memory和IO的需求越高,DUV的重要性反而越强。于是行业开始出现一个关键变化:不是EUV替代DUV,而是EUV + DUV对应的需求一起拉爆。 现在已经能看到很多迹象:ASML DUV订单重新变强,refurbished DUV需求上升,二手scanner价格维持高位,mature fab利用率重新改善。真正危险的是,这种压力还会继续向下传导。当手机、消费GPU、Networking ASIC开始占满高端ArFi之后,汽车、工业、功率、PMIC、MCU、模拟芯片又会继续向更成熟节点退。这其实就是EUV → ArFi → KrF → i-line的逐层外溢。 而且这个过程其实已经发生过一次。2021-2022汽车缺芯,本质上就是高价值消费电子挤占成熟制程产能。AI时代只是把这个过程进一步放大。汽车行业已经学会一件事:最怕的不是芯片不先进,而是没有芯片。于是越来越多车企开始长期锁产能、多供应商、接受旧节点、延长平台寿命。很多汽车芯片未来可能长期停留在28nm、40nm、55nm、90nm,因为对于车规来说,稳定供货远比缩节点重要。 功率半导体则是另一个容易被低估的方向。它并不依赖EUV。功率真正重要的是耐压、电流、热、reliability、缺陷控制、封装,所以大量功率器件长期停留在180nm、130nm、90nm、BCD、HV CMOS、200mm,很多甚至主动不愿意继续缩节点,因为更先进制程反而漏电更高、热更难、成本更高、良率更差。 但AI datacenter本身又在疯狂拉动功率需求。现在AI rack功率已经开始从50kW向100kW、300kW+继续升级。于是HVDC、VRM、PSU、UPS、rack-level power、battery backup都会大量消耗MOSFET、IGBT、SiC、GaN、PMIC。AI一边挤占先进制程,另一边又在疯狂拉动成熟制程。 最终整个行业会越来越像“全层级产能紧张”,而不是单纯“先进制程繁荣”。真正限制行业的,也早已不只是scanner数量,而是整个超复杂制造体系:optics、overlay、metrology、mask、photoresist、substrate、advanced packaging、testing、power、cooling,共同形成的复杂度瓶颈。 AI真正改变的是:半导体行业开始从“晶体管中心”,进入“系统复杂度中心”。EUV不会淘汰DUV。AI时代真正发生的事情,可能恰恰相反:整个半导体产业,会重新意识到,高端DUV、成熟制程、旧scanner、legacy fab,才是支撑全球电子工业的真正底座。 免责声明:本人持有文章中提及资产,观点充满偏见,非投资建议,dyor
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中国全固态电池实现全产业链自主研发,摒弃液态电解液,打造下一代安全动力电池标杆 China independently develops all-solid-state batteries across the whole industrial chain, eliminating liquid electrolyte to build a benchmark of next-generation safe power batteries.
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#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#
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