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🚨 BREAKING: NVIDIA CEO Jensen Huang has officially joined 𝕏! 🎉 One of the world’s most influential technology leaders is now on the platform, bringing another major voice to the conversation around AI, computing, and innovation. If you’re interested in artificial intelligence, semiconductors, and the future of technology, he’s definitely someone to follow. 📲 Follow: @jensenhuang #JensenHuang# #NVIDIA# #AI# #Technology# #Innovation# #X# #ArtificialIntelligence#

Two weeks before the United States govt confirmed it, the Apple-Intel deal was already called on Ep. 309 of The Six Five Pod. Not a packaging deal. A foundry test drive to 14A. @PatrickMoorhead on the Apple-Intel 18A-P structure, “There's an LOI sign between Apple and Intel... 18A-P is a good glide path...18A-P for Apple is the test drive to get to 14A. Once a real deal is done and commitments have been made, Intel will have to publicly disclose that because it would likely be a relevant stock event." Sell-side named Apple as the validation Intel needed. Pat’s victory lap record on semiconductors is 30/33.

One of the most special moments during the inauguration of the CG Semi Outsourced Semiconductor Assembly and Test (OSAT) facility in Sanand was the opportunity to interact with the youth who are working there. A large number of the workforce includes women. They hail from remote parts of India, many of them are from tribal backgrounds. But their remarkable spirit ensured that they learnt about semiconductors. They went for training and here they are, adding strength to India's semiconductor journey. Proud of our Yuva Shakti!

发现了一个真正开箱即用的通用 AI Agent 随便点进去就能看到一大堆现成的专家：股票、金融、电商、生产力、内容运营……各种领域都有一键添加的 Agent，直接聊天就能用，完全不用自己配置 prompt、搭环境 还可以用最强的 Claude 4.8 模型（平台每天送 200 免费积分），也可以自己接入其他模型的 API 用，实测体验挺丝滑的 我拿最近市场最热门的存储芯片公司 —— Micron Technology（ $MU）做了一次实测,这次没有自己写 Prompt，也没有搭工作流 直接打开 @EasyClawBot，添加现成的 Stock Master Agent，然后我先安装了Serenity-skill，然后一句话： 用 Serenity 的框架研究股票，给出直接的投资建议 整个过程大概几分钟,Agent 自动完成： ✅ 市场分析 ✅ 产业链卡点变化分析 ✅ 基本面与技术面分析 ✅ 估值与风险评估 ✅ 最终投资建议输出 最后给出的核心结论让我有点意外：当前阶段不建议追高 $MU Agent 认为： 📈 基本面依然非常强 📈 AI 带动 HBM 需求持续增长 📈 存储行业景气度仍处于高位 但问题在于： 股价上涨速度已经明显快于基本面改善速度 对于不同投资者，它给出了完全不同的策略： ▶ 已持有： 考虑分批兑现利润，利用移动止盈锁定收益，而不是继续加仓 ▶ 空仓： 继续跟踪，不追高，等待周期回调带来的更优介入机会 ▶ 低风险投资者： 直接回避周期顶部区域的高波动 有意思的是，它还列出了接下来真正值得盯的三个关键指标： ① DRAM / HBM 价格是否开始走弱 ② HBM4 是否进入下一代 AI 芯片量产订单 ③ 存储巨头未来两年的资本开支节奏 这些其实正是决定存储周期下一阶段走势的核心变量 Agent给我的感觉更像是在复刻一个成熟投资人的研究流程： 热点事件 → 数据搜集 → 行业分析 → 风险判断 → 投资决策 我演示的整个投研过程几乎没有学习成本 不用研究 Prompt 不用配置环境 不用自己搭 Agent 直接选专家，直接提问 几分钟就能得到一份结构化投研报告 对于经常研究美股、AI、半导体板块的人来说，这种体验确实有点惊艳 #AIAgent# #StockMarket# #Micron# #MU# #Investing# #Semiconductors# #HBM# #Claude# #EasyClaw# #AIInvesting#

📈 Speaker Spotlight: Viki Huang What if AI's biggest payoff isn't productivity — but longer, healthier, better human lives? Viki Huang is an investor at Prosperity7 Ventures, the $5B global growth fund backed by Saudi Aramco, where she backs AI, semiconductor, and enterprise companies from Series A to pre-IPO. 🔹 Investor at Prosperity7 Ventures ($5B Aramco-backed growth fund) 🔹 Focused on AI, semiconductors & enterprise software (Series A → pre-IPO) 🔹 Prior: business development at AI-chip startup Tetramem · deep-tech investor at Atlantic Bridge 🔹 Duke MQM · Columbia economics & mathematics Her bet: the next era of AI won't just optimize work — it'll extend healthy lifespans and elevate daily living. Hear Viki's investor outlook at AGI Summit SF 2026. 📅 July 18–19, 2026 📍 Palace of Fine Arts, San Francisco 🎟 Tickets: 🏷️ 15% off with code GenAI-26 #agisummit# #aiareall# #venturecapital#

A Japanese Engineer Vanished in Dalian. Beijing Just Showed Its Cards. In late May, a Japanese man working for a major Japanese electronics firm walked into work in Dalian. He didn’t walk out. The Asahi Shimbun reports that Chinese authorities detained him on suspicion of attempting to export rare-earth-processed products outside of China — the very same rare earths Beijing has been weaponizing against Tokyo for months. This is not a customs case. This is a hostage. Recall how we got here. On November 7, 2025, Prime Minister Sanae Takaichi told the Japanese National Diet that a Chinese armed assault on Taiwan involving warships and the use of force could constitute a “survival-threatening situation” — the legal trigger under Japan’s 2015 Legislation for Peace and Security that permits Tokyo to exercise collective self-defense. She said the quiet part out loud. Beijing heard it. What followed was a coercion campaign with no diplomatic ambiguity. Travel warnings against Japan. Standoffs around the Senkaku Islands. Joint Chinese-Russian air activity off the Sea of Japan. On January 6, 2026, the Chinese Ministry of Commerce (MOFCOM) banned dual-use exports to Japan tied to military end-use. In February 2026, Beijing tightened twice in a single month. The Chinese Ministry of Foreign Affairs (MFA) spokesperson stated the purpose explicitly: to prevent Japan’s “rearmament and attempts to acquire nuclear weapons” — language designed to recast a sovereign democracy’s defense posture as historical revanchism. Then came the cargo strangulation. Chinese customs data confirm that shipments of terbium oxide and dysprosium oxide to Japan have stood at zero since November 2025. Yttrium oxide: negligible volumes since December. Heavy rare earth flow to Japan — for motors, magnets, semiconductors, defense systems — is no longer disrupted. It is severed. And now, a man in Dalian sits in a cell. Understand what this detention signals. The Chinese Communist Party (CCP) is not punishing a single engineer for paperwork violations. It is broadcasting to every Japanese employee, every multinational executive, every supply chain manager still operating inside the People’s Republic: your body is leverage. Your liberty is contingent. The line between commerce and hostage-taking has been formally erased. This pattern is not new. Since the 2014 Anti-Espionage Law and its 2023 expansion, at least 17 Japanese nationals have been detained on opaque “espionage” or national-security pretexts — pharmaceutical executives, friendship-society organizers, ordinary businesspeople. The evidence is classified. The trials are closed. The releases, when they come, are political transactions. What is new is the integration. Rare earth weaponization, dual-use export bans, military intimidation off Japanese coasts, and now the arbitrary detention of a Japanese citizen tied directly to the rare earth dispute — these are not separate Chinese policies. They are a single coordinated coercion package, calibrated to extract a retraction from Tokyo that Takaichi has refused to provide. At the Group of Seven (G7) summit in France in mid-June, Takaichi raised the Chinese export regime directly, voiced deep concern about the supply-chain impact on G7 economies, and proposed allied stockpile cooperation and joint reserves. Translation: Tokyo will not be coerced. Tokyo will harden. That is the correct answer. It is also why the cell door closed in Dalian. Condemn this clearly. The detention of a private citizen as an instrument of state-to-state pressure is not lawful enforcement. It is hostage diplomacy — the tactic of an authoritarian regime, not a modern state. The CCP has weaponized its own legal system against a foreign national to settle a political grievance over a democratic prime minister’s parliamentary remarks. Every government, every multinational, every chamber of commerce that pretends this is anything else is providing cover for the cage. Japan has done the harder work of decoupling. The United States, the European Union, Australia, and the United Kingdom should now accelerate it together — strategic stockpiles, non-red supply chains, processing capacity outside Chinese jurisdiction, and a unified declaration that arbitrary detention of any allied national triggers a coordinated response, not bilateral negotiation in the dark. Beijing did not lose a rare earth dispute. Beijing took a hostage to win one. ACI — Aric Chen | Insights

China is not only pricing technology. It is pricing political freshness. I recently came across the terms “old tech” and “new tech” in Chinese investment circles. I found that interesting and looked into it. “Old tech” refers to the internet giants of the last cycle: Alibaba, Tencent, Meituan, JD, Baidu, NetEase, Xiaomi and their peers. These companies make up bulk of investable indexes. They have users, cash flow, engineers, cloud infrastructure, payment systems, data and distribution. In most markets, that would make them strategic assets. But in China, they also carry political baggage. They are associated with platform monopolies, regulatory crackdowns, gaming restrictions, weak consumption, brutal e-commerce competition, and Xi’s campaign against private platform power. They dominate market capitalization, but no longer dominate the national imagination. “New tech” refers to sectors now favoured by Beijing: AI, large language models, semiconductors, robotics, advanced manufacturing, domestic chips, embodied intelligence and other technologies tied to “new productive forces.” Many of these companies are smaller, less proven, and barely commercial. Yet they command extraordinary valuations because investors are pricing scarcity, policy support, import substitution and national-security relevance. The valuation gap shows the point. Tencent and Alibaba remain huge — roughly HK$4 trillion(USD 600B) and HK$2 trillion in market value — but trade like mature businesses, generally around 10–20x earnings and low-single-digit sales multiples. By contrast, Cambricon, a chip designer, has traded around RMB1 trillion, at more than 100x sales and over 300x earnings. MiniMax, an AI company, was valued at roughly 80x sales at IPO and now trades at more than 600x sales. Zhipu, another AI company, reportedly moved from roughly 66x sales at IPO to over 1,000x sales. For reference, OpenAI is valued at roughly 36x run-rate sales. Anthropic is valued at roughly 20x run-rate sales. This is not a normal growth premium. It is scarcity, policy blessing, import substitution and national-champion imagination being capitalized into market value. That is the real dichotomy in China today: not old versus new, but commercially proven versus politically favoured. China is not the capital market most outsiders think they are investing in. It operates by a different set of rules. Many international investors understand the numbers, but only half-understand the game.

Just some random thoughts, I do think AI is the most disruptive technology in human history. To the level of agricultural or industrial revolution. Since Anthropic, OpenAi, XAI, and others are racing to build superintelligence. The amount of economic impact can't be measured if AI helps find cures for cancer or accelerates discovery for Quantum Computing. Or if AI end up displacing the workforce, which increases profitability for companies. The US Gov has every incentive to keep the buildout going too, as the implications from Warfare, Cybersecurity, is also immeasurable if China takes the lead. So there's likely to be incentives and subsidies to win, even if there's not enough profit derived LLM training/inference. As for sustainability, when you look upstream, $GOOGL is able to fund it majorly with their own cashflow, same with $AMZN, $MSFT. More lukewarm on $META. Very iffy about $ORCL. But I do see some bubbles forming around debt interest like $CRWV. Maybe circular valuations that's happening with OpenAI backlog agreements or $NVDA / $AMD agreements with Neoclouds to buy their GPUs. But as seen with $MSFT and having OpenAI be a major part of the backlog, it did correct off the information, so "bubbles" like that do pop despite the overall markets increasing. Definitely don't see a bubble in upstream semiconductors from $LITE to Sk Hynix though since the amount of profit they get from the buildout would likely be insane to make up for capex decreasing. OpenAI was actually my biggest fear from contagion, eg. $CRWV, $CBRS and others, but they just raised a lot. So think it will be fine for another 1 1/2 years of capex, especially if they IPO this year. I also don't think we'll get massive Fed tightening despite "predictions" since this will trigger a contagion since many of these players rely heavily on debt. And although the Fed is independent, don't think Trump would have supported someone who is against his administration goals. As for semiconductor valuations going up every day like $AMD or $MU, there's probably going to be some corrections here and there. Everything going up together is kinda unhealthy. Can't time the capex peak but just from $AVGO and other projections, it just keeps accelerating exponentially into 2028. Especially as everyone is starting to sign multi year agreements as well. OpenAI contagion / hyperscaler capex decreasing / fed tightening was what I'm looking out for, and no blaring signs of any of those yet. So I think the music will keep playing for this year at the bare minimum.

🚨 DIAMOND IS ABOUT TO REPLACE SILICON IN NEXT-GEN CHIPS. Scientists are now producing large single-crystal CVD diamond wafers that could revolutionize electronics. Diamond conducts heat 5× better than copper and over 10× better than silicon while also handling extreme voltages, high frequencies, and radiation. Why this matters: • Thermal Superpower: Diamond acts as its own heat sink, solving one of the biggest problems in high-power chips • Ultra Wide Bandgap: Handles massive voltage and extreme temperatures without breaking down • High Frequencies: Electrons move incredibly fast, perfect for 6G, radar, and advanced telecom • Radiation Hardness: Ideal for satellites, space tech, and nuclear applications The deeper implication is massive: We’re at the early stages of a materials revolution. As silicon hits its physical limits with heat and power, diamond one of the most extraordinary materials in nature could power the next era of AI chips, electric vehicles, and aerospace systems. What do you think will diamond semiconductors become mainstream in the 2030s? Follow for more frontier materials science and future technology.

那个45倍的「白毛女股神」，到底在买什么？ 事情是这样的。 最近币圈和美股圈都在传一个名字。 @aleabitoreddit 一个X账号，头像是个白毛二次元少女。 2026年5月晒出年度战绩。 4502.45%。 我当时就愣了。 45倍？ 这尼玛是什么操作？ 我跟你说，兄弟们，她不是蒙的。 公开讨论的35只股票，31只正收益。 胜率接近90%。 超10只股票翻倍。 SIVE年内涨超10倍。 AXTI涨超5倍。 AAOI涨超5倍。 而且最骚的是，这些公司，在Serenity公开讨论之前，市值大多不到2亿美元。 华尔街的研究几乎没人覆盖。 机构根本看不上。 但当市场发现，这些企业居然是AI产业链中不可替代的关键环节时。 估值开始疯狂重估。 我跟你说，这人的厉害之处，不是敢买小票。 真正厉害的是，他不是在预测股价。 他是在推演供应链哪里会断。 01）普通人看AI，Serenity看什么？ 大部分人看AI，通常会问： 谁最火？ 谁涨最多？ 谁是龙头？ 谁最确定？ 所以最后大家都会看向英伟达、微软、Meta、台积电。 但Serenity的思路不是这样。 他真正问的是： 如果AI继续扩张，最后会被谁卡住？ 这就是他最核心的方法。 不找热门，找瓶颈。 02）瓶颈中的瓶颈 比如AI发展，第一反应当然是需要更多GPU。 但GPU只是第一层。 GPU变多之后，数据中心会变得更大。 数据中心变大之后，服务器之间、机柜之间、芯片之间的数据传输压力会越来越高。 于是光通信、激光器、硅光、CPO，就会变得越来越重要。 再继续往下挖： 谁提供关键材料？ 谁提供测试设备？ 谁掌握细分产能？ 谁是那个不起眼，但一旦缺货就会拖慢全链条的环节？ 这就是所谓的，瓶颈中的瓶颈。 一个公司不一定名气最大，也不一定收入最大。 但如果它卡在一条大产业链的关键位置。 当需求爆发，而供给短期跟不上。 它就可能被市场重新定价。 03）Serenity的七层卡脖子地图 Serenity把AI供应链拆成了七层。 每一层都找到了那个「没有它整个链条就断掉」的关键节点。 第一层，原材料。 AXTI，做InP磷化铟衬底。 没有它，光子学建设会倒下。 第二层，pBN坩埚。 信越化学，做InP晶体生长设备。 第三层，衬底加工。 AXTI加上一个未命名的双寡头。 Serenity说，这是「皇冠明珠卡脖子」。 第四层，CW激光器。 SIVE，Sivers Semiconductors。 控制下一代CPO的连续波激光光源。 市值不到3亿美元，Serenity说「严重错误定价」。 第五层，光模块。 AAOI、LITE、COHR、中际旭创。 组装光模块的。 第六层，测试设备。 AEHR，做光子学测试。 第七层，光纤电缆。 GLW康宁、Prysmian、Furukawa。 传统光纤加空心光纤。 你看，从原材料到成品，每一层都有一个「没有它就不行」的节点。 Serenity不是在买股票。 他是在画一张AI供应链的「断点地图」。 04）三个经典案例 案例一：SIVE，10倍股 Sivers Semiconductors，瑞典半导体公司。 做AI光互联激光器和光子芯片。 Serenity反复提及超过190次。 公开讨论前，市值不到1.5亿美元。 长期交易量不到100万美元。 没人关注。 但Serenity看到了什么？ 他看到了CPO，也就是共封装光学。 下一代数据中心，光模块要直接封装到芯片旁边。 这需要CW激光光源。 而SIVE控制了这个卡脖子点。 他预测，2026/27年SIVE可能还是零收入、亏损5000万。 但2028年收入可能到5亿。 2029年到10亿。 更骚的是，空头机构Two Sigma建仓SIVE净空。 股价暴涨之后，空头保证金压力越来越大。 被迫平仓，被动买盘助推。 至少一家空头认亏出局，损失数千万美元级。 这就是Serenity说的逼空共振。 在一个流通盘极小的股票里，做空本身就是在给多头递刀子。 SIVE最高涨了近20倍。 案例二：AXTI，5倍股 AXT Inc，美国衬底材料商。 做InP磷化铟衬底。 Serenity说，AXTI「基本上是整个光子学供应链」。 垂直整合了4个不同的卡脖子点。 他用了一个类比。 霍尔木兹海峡。 全球20%的石油通过霍尔木兹海峡。 一旦堵住，整个系统停摆。 AXTI就是光子学领域的霍尔木兹海峡。 Serenity说，大多数人完全不知道自己在说什么。 尽管日波动15%到25%，他仍然持有。 认为当前估值合理。 后来AXTI从十几美元涨到百元以上。 涨幅接近10倍。 案例三：AAOI，数倍股 Applied Optoelectronics，美国光模块公司。 Serenity说，这家公司「激光→设计→组装→销售光模块，拥有整个供应链」。 正在建设ELSFP，也就是外置光源。 进入CPO领域。 他预测，2027年下半年光模块收入10倍增长。 他在84美元左右买入相当数量。 说66亿市值对他来说太便宜了。 后来股价从30多美元一路上涨数倍。 05）Serenity的五步选股法 Serenity的方法，可以总结成五步。 第一步，找超级趋势。 AI、数据中心、算力、半导体、光通信。 大趋势要足够大，足够确定。 第二步，找第一层瓶颈。 GPU、HBM、电力、网络、数据中心。 这些是最明显的瓶颈。 但也是最拥挤的。 第三步，找第二层瓶颈。 激光器、硅光、CPO、特殊材料、测试设备、系统集成。 真正的认知差，往往藏在这里。 第四步，找「小市值 + 关键卡位」的公司。 不是因为它小就买。 而是因为它小，同时又卡在重要位置。 大趋势很大。 公司很小。 位置很关键。 市场还没完全理解。 这才是十倍股可能出现的地方。 第五步，做前瞻推演。 这家公司未来拿到订单的概率大不大？ 有没有产能扩张能力？ 管理层在做哪些布局？ 过去有没有进入核心供应链的经验？ 它卡住的瓶颈，会不会越来越重要？ 这一步最难。 因为此时订单可能还没明显增加。 财报还没验证。 机构也还没大规模买入。 市场还没给出确定性。 但真正的超额收益，恰恰来自这里。 机构等订单确认、收入兑现、财报验证之后才敢买。 Serenity做的是，在这些信号完全出现之前。 先基于供应链逻辑和工程常识。 判断这家公司有没有机会进入核心位置。 06）为什么是小市值？ Serenity专门挑小市值公司。 不是因为小市值涨得快。 而是因为大基金有体量限制。 一个管理百亿美元的基金，不可能去买一个市值2亿的股票。 买多了，流动性不够，进出都困难。 所以小盘股存在定价真空。 华尔街的研究几乎没人覆盖。 机构根本看不上。 但Serenity不一样。 他用的是自己的钱，加上1.4倍杠杆。 集中持仓。 他不需要考虑流动性。 他只需要考虑，这家公司卡在产业链的哪个位置。 当市场发现这个卡脖子点的时候。 估值就会疯狂重估。 这就是信息差。 市场上研究英伟达的人有几万人。 研究激光器供应链的人可能只有几十个。 研究硅光材料的人可能只有几个人。 而研究某个特殊外延片供应商的人。 可能全世界不到十个人。 Serenity就是这几个人之一。 07）Serenity是谁？ 说实话，没人知道。 全网现在还不知道这个人的真实身份。 没有人知道她的真实姓名、国籍、年龄、职业。 是完全隐匿于网络的顶级投资大佬。 X账号简介写的是： AI半导体产业链研究院、Nature论文作者、RISC-V基金会核心成员。 整个含金量拉满。 她还公开了一段过往。 2018年拒绝了英伟达AI团队主管的邀约。 那时候英伟达股价只有6美元。 我跟你说，这人的背景，大概率是真的。 因为她对AI硬件的理解，不是看研报能看出来的。 是从工程细节里抠出来的。 她自己说过，「Only buys what he's touched」。 只买自己摸过的东西。 她大概率是真的在半导体行业干过。 08）机构轮动理论 Serenity还有一个核心观点。 机构轮动。 她抓住了内存名称上涨的尾巴。 SNDK、三星、SK海力士、美光。 然后机构之前用AAOI、AXTI、LITE、COHR等光子学名称跑赢。 现在再次通过大量增加SiPh、ELS来做到这一点。 她说的三阶段轮动是： 第一阶段，内存。 第二阶段，光模块。 第三阶段，外置光源和硅光。 她认为自己现在处于第三阶段的开端。 而大部分人还在第一阶段徘徊。 这就是认知差。 09）风险与争议 Serenity的方法也不是没有风险。 第一，幸存者偏差。 她公开讨论的股票，涨了的大家都能看到。 跌了的，可能就不提了。 第二，没有监管披露。 她没有基金，没有13F报告。 持仓大小、进出时间，都不透明。 第三，高波动。 她持仓的股票，日波动15%到25%是常态。 普通人根本扛不住。 第四，流动性风险。 小市值股票，进出都困难。 她想卖的时候，可能根本没人接盘。 第五，逼空风险。 她自己也参与逼空。 但逼空是双刃剑。 空头被逼平仓，股价暴涨。 但如果空头坚持不撤，或者更多空头加入。 股价可能暴跌。 10）普通人能学到什么？ Serenity的方法，普通人很难完全复制。 因为她有实打实的AI科研背景。 她对供应链的理解，是从工程细节里抠出来的。 不是看几篇研报就能学会的。 但有几个思路，是可以借鉴的。 第一，不追热门，找瓶颈。 热门股已经被充分定价。 瓶颈股，市场还没发现。 第二，往下挖三层。 英伟达需要GPU。 GPU需要光模块。 光模块需要激光器。 激光器需要衬底材料。 每一层都可能有机会。 第三，小市值+关键卡位。 大趋势很大。 公司很小。 位置很关键。 第四，做前瞻推演。 在订单确认之前，先判断逻辑是否成立。 第五，接受高波动。 如果承受不了15%的日回撤。 就别玩这个。 说到底 Serenity的方法，本质上是「供应链断点投资」。 她不是在看股价。 她是在看产业链哪里会断。 当需求爆发，供给跟不上。 卡在关键节点的公司，就会被重新定价。 这就是十倍股的来源。 但说实话，这种方法，门槛极高。 你需要对产业链有极深的理解。 你需要能接受高波动。 你需要有耐心，等市场发现你发现的逻辑。 我跟你说，股市会奖励错误。 以至于很多人赚到钱之后，就意识不到自己的错误。 但把时间拉长来看，市场是公平的。 所有短期的盈利靠运气。 长期的超额收益，永远靠认知壁垒。 Serenity的认知壁垒，就是她比全世界99.99%的人，更了解AI供应链的断点在哪里。 这就是她一年赚45倍的原因。