Photonics is backed by actual revenue numbers and it's an architectural shift championed by $NVDA. Quantum barely has any revenue. $LITE is completely sold out for the next 2 years (per $POET AGM) likely starting into 2029. Lumentum is so strained that they buy CW lasers off competitors (earnings transcript) $COHR is bottlenecked, so they buy EML off Lumentum. Then, $AAOI is coming in with Made-in-America independent CW capacity, are projecting $1.4B/quarterly revenue ending H1 2027 of a stupid $9.3B MC today. So all the CW capacity from independent players who have it now like $AAOI or $SIVE are likely to become scarce resources. Many other hyperscalers have already started LTA discussions (per Trendforce). And players like $AMD are currently talking with players such as $AAOI (Rosenblatt channel checks). Thematically, next 2 years is 9x TAM to US$154B per GS reports, especially with 16x/45x dollar content increase in scale out/scale up. Then there's the overall thematic AI drop from $META, which is widely misunderstood because people conflate what "excess capacity" means. And as UBS mentioned, Meta planning a cloud offering is NOT NEW NEWS. Bloomberg just has a tendency to publish information that causes doom drops across the semi sector like Nvidia export controls a few months back. But I'm familiar with what I'm holding so I'm confident in these numbers playing out. Especially when all the major players are sold out, the fundamentals catch up eventually.

@aleabitoreddit All photon stocks are dropping like rocks. Is it going to be like quantum stocks in 2025 ?

@aleabitoreddit how about RoboStrategy ?

I just realized Boston Dynamics CEO shared the same sentiment: “Robotics is next. America’s next 250 years will be built by robots”. However, currently China accounts for 54%+ of all global robotics deployments. - calls for Internet scaleable database of physical world (kinda got reminded of Niantic that has a huge dataset from Pokemon Go) - dedicated National robotics strategy to compete against China’s leadership in this space - ISO + regulation for robotics safety This is all high level: But my prioritize thought process is how do we support and scale a Made in USA supply chain for robotics/humanoids? I’ve been hammering home rare earths for the longest time, that the US isn’t doing enough to subsidize or scale this industry. But another thing to take note is subsidies for components, forcing $TSLA and others to use Chinese suppliers over Western ones, even if assembly is done in USA… to keep costs down. Which is why I’ve liked Agility Robotics $CCXI since they source 75% of parts from the US, despite higher BOM to start out with. Regardless it’s pretty clear this Robotics is coming and becoming a national security priority: From the days of backflipping humanoid YT videos.

$IREN founders award themselves $1.14B+ of stock based compensation. Vesting over 4 years timeframe. This is amid their active $6,000,000,000 ATM. I’m not going to say anything but I think it speaks for itself. https://t.co/IoCHVxVIXs

Wells Fargo: $META intent to sell excess compute is a positive signal around underlying demand and unit economics of AI. “Despite this shift, we don’t expect a pullback in Meta’s capex or that overall compute needs are lower” Regarding Neoclouds: WF thinks it validated the massive AI infra opportunity as well as acquisition opportunities. Despite any potential competition for Neoclouds. I’m inclined to agree with Wells Fargo here and say markets completely misunderstood Meta’s excess compute comment.

I feel like Trump is probably going to like this idea: OpenAI discussed giving the US gov a 5% stake in its company per FT. If this turns into an $INTC type situation, would be interesting if the US government becomes a soft backstop for their $1T+ in future capex/obligations. https://t.co/KQZUyd950N

Just dropping these 3 slides from Agility Robotics ( $CCXI ) presentations. For the US robotic program doomposters: 1. “75% of parts” - sourced from the USA 2. Just eyeballing the graph, looks like <$30k BOM mass production. People were just looking at the ~$145K cost. 3. 10,000 RoboFab capacity, and they build in Salem/Pittsburgh/Fremont (USA). So looks like majority US supply chains with targets of <$30K mass production It does help they’re backed by $AMZN / SoftBank / Foxconn / $NVDA as investors to get this done. Just personal thoughts as a shareholder in $CCXI (NFA): My personal biggest fear were US humanoid leaders like $TSLA were just building out their entire supply chains in China. So US robotics could just be export controlled/halted down the road. eg. South China Morning Post: ‘Optimus chain’: Chinese suppliers form the backbone of Tesla’s humanoid robot initiative and engaged with hundreds of Chinese component suppliers. And that Western companies are not able to lower costs to a competitive level + are forced to use Chinese components. I'm still not sure how they're going to do it but if Agility can achieve those mass production targets with that BOM cost in the USA/West. It would be a great validation for Made in America US robotics programs. IMO the top 5 US humanoid programs right now in terms of commercialization potential are: 1. Tesla Optimus 2. Figure 3. Agility Robotics 4. Boston Dynamics (yeah KR parent) 5. Apptronik Tesla is a $1T+ company. Figure is private and valued around ~$39B. Owning Boston Dynamics through Hyundai is a bit messy. And I’d prefer not to invest in adversarial programs just as a personal preference. So I’ve been personally excited for Agility to be listed as early as September.

There’s a lot of disinformation going around about $META “cutting capex” because they “overbuilt”. This is an “if” they have excess capacity. And it looks like the opposite right now: Hyperscalers like $GOOGL are so compute constrained that they had to cut allocations to Meta back in March. Since Meta was using too much for internal projects. Meta was immediately constrained so it looks like they were forced to immediately sign massive $48B+ contracts with Neoclouds like $CRWV and $NBIS. Meta is selling excess capacity if there’s any, especially since their large contracts are take or pay from the Neoclouds. If anything, I’m expecting their guided capex to go up as they build out more independent capacity.

@aleabitoreddit The real question is why and how do they have excess 🤔

Basically pre-market right now with the Neoclouds like $NBIS in simpler terms. Costco: sells $5 chickens. Walmart: mass buys those rotisserie chickens and sells excess as “Walmart Chickens”. Stock Market: sells off Costco.

Finally, $META to build a Cloud Business to sell excess AI compute per Bloomberg. Thought Meta should go up against GCP, Azure, and AWS eventually to increase revenue streams. Meta up 6.65% premarket. https://t.co/UUolnwtYJY

Just a random thought, leading US humanoid players strangely me of the current LLM dynamics: Agility ( $CCXI ) kinda feels like Anthropic for robotics. With $AMZN and $NVDA heavily backing it, ingrained with $GOOGL Deepmind (like TPUs). And it starts off with enterprise commercialization. Optimus is kinda off doing its own thing like xAI. Supported by Tesla/Elon and his visionary roadmap as usual. Figure is like ChatGPT With Microsoft/OpenAI investing (kinda like Microsoft), then ended up kinda competing them by building their own VlA and setting them behind. But ends up top 2 leaders anyway. Boston Dynamics is Gemini Kinda started the entire humanoids thing like transformers with backflip videos. With R&D supported by $GOOGL but somehow let everyone else leapfrog them in commercialization. And then there’s $NVDA just chilling, silently powering the entire humanoids ecosystem.

【月更贴】向各位汇报成绩：六月收益31.14%，我个人非常满意，正好半年过去了，顺便复盘一下这半年的操作与得失。 我要好好感谢谷歌，前四个月我的谷歌仓位100%，让我躲过了2月和3月的暴跌，不至于亏到裤衩都没，也在4月凭借谷歌反弹收获巨额利润。 其次感谢小火箭，4月和5月贡献了不少力量。 还要感谢英特尔，1月和4月的收益有它很大的原因。 最后当然要感谢迪丽热巴（mu），没有她就没有这个月的成绩。 每个月，我的仓位都会有一位英雄站出来，这就是仓位管理的魔法。我会把当月最看好的股票仓位尽可能做大，再配其他板块分担压力，必要时断臂求生作为加仓子弹。 另外，我坚决不做空、不碰期权、不杠杆ETF，能不赌财报就不赌，碰到自己英雄的财报就沐浴更衣祈福装死。用尽量少的操作完成操作。不躲下跌，相信长期持有，相信慢即是快。 操作失误方面，唯一的遗憾是信存储信得太晚，这是认知不足。为了避免此类错误，我现在都是先买再信、先被套再研究、先上车再补票。我不怕亏钱，只怕买不够，丢弃经验主义，迎接新时代。 Buy the dip，长期持有，Discord在个人资料。

This market feels like an ADHD goldfish with a 5 second attention span, trading popular themes. It's like markets only care about physical AI and energy right now? And sold off memory and photonics that are bottlenecked past 2028?

$SIVE: "Intent to complete the [NASDAQ] listing process over the next few quarters" This statement was largely missed by many screeners. Very material improvement from evaluation, to formal confirmation of timelines. https://t.co/iOceCgJTG4

Just some of the more interesting news I came across recently: 1. MS: Revised China humanoid shipments to reach 50,000 in 2026 from 14,000u and 28,000u earlier this year. 2. MS: Probe cards and test sockets likely to be priced hike (precious metal hikes + severe shortage of test pin capacity) 3. Capacitor price hikes: MLCC, aluminum electrolytic, tantalum, polymer aluminum, film, and super capacitors from Yageo. 4. $META Vistara architecture: Older DDR4 Memory with CXL as memory expansion 5. OpenAI achieved inference optimization breakthrough that halves costs and reduces GPU requirements. 6. LTAs are being signed with MLCC after Samsung signed LTA with US big tech customer 7. Grid power bottlenecks triggered 5x increase ($25B) in Brookfield's financing for $BE fuel cells. 8. Taiwan's chip packaging and testing supply chain includes major OSAT providers such as $ASX, Powertech, Winstek Semiconductor, Chipbond, ChipMOS, and ShunSin. Dedicated testing companies include KYEC, Ardentec, and Sigurd Microelectronics, while testing interface suppliers include WinWay, MPI, Keystone Microtech, Chunghwa Precision, and Hermes Testing Solutions. Leadframe makers include Jih Lin Tech, SDI, and CWTC, while major IC substrate suppliers include Unimicron, Kinsus, Nan Ya PCB, and Zhen Ding Tech. (Digitimes) - Taiwan-based OSAT providers are raising prices - Memory and IC packaging and testing capacity have both become bottlenecks in the semiconductor supply chain

I told you making the robots look hot might be a bottleneck: Today, UBTech has now announced its first full-size hyper realistic humanoid robot girlfriend. For adults only to purchase for only ~$145,717.90. -"The U1 series emphasizes attractive appearance and is only available for adults to purchase." - "It Can Imitate Most Human Movements and Expressions, and Also Has Long-Term Memory" - "U1’s surface uses bionic materials and a gel structure to simulate skin texture, elasticity, and a warm touch." UBTECH founder, chairman, and CEO Zhou Jian said on stage that just before going up, he learned that orders had exceeded 11,000 units. Half an hour later, UBtech said the number had been updated to more than 13,361 units. Demand for attractive robots is uncomfortably high.

Congrats to $SIVE, they have now raised an upside round of 700m SEK from institutional investors. The round was “Multiple Times Oversubscribed” and slightly upsided. Validating immense institutional demand around current market prices. This raise was specifically for "expanding manufacturing capacity for InP lasers and optical amplifiers" (volume ramping with fab-light model). Hinting Sivers has reached the inflection point for scale. The round was at 57 SEK (current prices are 63 SEK), which I’m personally very happy about as it’s around current market prices, which typically sets a floor. Instituional money has now de-risked the balance sheet, and funded Sivers transition to HVM.

Great news with a Direct share issue that was oversubscribed multiple time. What started as a planned SEK 600M (+$61m) raise was upsized to SEK 700M ($73m) thanks to strong institutional investor demand. That's a clear vote of confidence in $SIVE and the ramping within AI photonics, SATCOM and defense. SEK 700M is roughly US$73M in fresh capital, providing even greater financial flexibility to accelerate execution and scale the business. Strong demand. Strong balance sheet. Exciting times ahead. Great work by the Sivers team! Congratulations! $SIVE #AI #Photonics https://t.co/SWr5UhK4VG

$SIVE is raising ~$61M (600M SEK) to expand manufacturing capacity for InP lasers and optical amplifiers. Sivers operates as a fab-lite model so this is likely hinting at foundry allocation/scaling for CW DFB laser ramp across Jabil, and their other partners. It could also point to broader foundry allocation/scaling beyond the already announced WIN partnership. My feedback is that it's very bullish if it's comprised of long-only institutions and there's no heavy discount (30 day VWAP). Otherwise, would need to reaccess if there's arb or short term investors. This is the perfect time to get ideal strategic investors like $GFS on the cap table. As well as focusing on having more US institutional support. Especially considering $56M is a small check to a single US institution that want photonics exposure (eg. look at Poet's $400M registered direct offering for sentiment). A lot of it is "it depends when more info comes out", but this looks like a very positive signal for mass production given Siver's fab-lite models.

Yep! Agility Robotics is currently my favorite humanoid/robotics position. They're set to be listed on NASDAQ via $CCXI as early as September (per Digitimes). Just for informational purposes: Their V4 humanoid robot is already operating in sites like Amazon. And have V5 slated for mass production next year (they have a 10,000+ /year capacity). Investors include Foxconn, $NVDA, $AMZN, Softbank, and now Serenity. I've been personally waiting for humanoid exposure for awhile (Agility is set to be the first US pure-play listed one) to the point I was actually planning on investing in Unitree's IPO. But I'm glad now I personally have a compelling alternative now since I prefer to invest capital to build up Made in America supply chains (75% of their components are US-sourced from investor desks). There are risks assigned to SPACs such as listing delays, or cancellation. But excited to see what happens next with developments. I do hope this encourages other frontier companies to go public early on.

I wonder if humanoids is going to spark a new bottleneck/industry for robot cosmetics. Like a skin bottleneck. Or Aespa KPOP robot makeover as a service. So if $TSLA Optimus makes tens of millions of humanoids: Who’s going to make them all look hot?

There was a pretty funny anecdotal complaint from the Machine Learning $RDDT subreddit. On $CBRS + OpenAI: - Needs 1-2K tokens/sec so tries to use Cerebras. - Claims OpenAI reserved all capacity, making waitlist infinite for everyone else not a hyperscaler. - Stated alternatives with Groq’s API not accessible to them Feels bad. But it does show how few players / limited capacity there is for fast inference.

Hard to see a world where US AI hyperscaler capex drops dramatically from $GOOGL to $META. When China entities like 360 go and claim: They now have a "AI cyber nuclear weapon" that can hack Western companies and governments. (Zhou claimed Mythos was like an AI era cyber nuclear weapon, then claimed they built a Chinese equivalent). We're probably witnessing the modern cold war. But instead of nuclear stockpiles, it's racing to build superintelligence both offensively and defensively. With many different "battles" happening concurrently like supply chain export controls between China -> Japan -> US hyperscalers. The funny thing is that everyone still depends on one another: - US with things like rare earths and feedstock from China. - China with EUV to EDA and engineered substrates. So there's still give or takes trades to build up capabilities like Nvidia/AMD AI chips access for rare-earth/magnets access. Which is exactly why it's important for the US to build up rare earths supply chains ASAP. And not piss off allied supply chain chokepoints like European EUV partners with $ASML to Japanese vacuum/furnace makers like Ulvac with things like tariffs, if the US wants to use it as leverage for negotiations. But we're getting dangerously closer to a point where supply chain interdependence is not a deterrent against escalation. Especially as China grows closer to becoming self-reliant. And that might be the tipping point.

跟 Serenity 学美股--公开看好的机器人公司 白毛股神 Serenity分享了她的人形机器人布局思路： 她披露持仓 Agility Robotics、Harmonic Drive 与 Vishay Precision；同时看好宇树科技、绿的谐波与舍弗勒，高盛预测韩国企业将占全球人形机器人生产 30% 份额，赛道极其广阔！ ① Agility Robotics (CCXI / 拟 AGLT) - 市值约 25 亿美元 主营业务：双足人形机器人 Digit 研发与制造，采用租赁模式进行商业化部署，背后有英伟达和亚马逊等战略股东支持 供应链卡点：双足步态控制算法的工程化积淀极深，作为整机商是上游零部件需求放量的核心引擎 Serenity的看法：为整机端的首选，个人最大仓位所在，更偏好这类美国本土的人形机器人厂商 ② 宇树科技 (拟科创板上市) - 估值约 58 亿美元 主营业务：通用人形机器人及四足机器人开发与销售，科创板首发上市已通过审核 供应链卡点：出货量全球第一，凭借极致供应链本土化性价比跑通了量产与盈利正循环 Serenity的看法：看好但个人未持仓，与 Agility 均为看好的整机厂商，但目前最喜欢的依然是 Agility ③ Harmonic Drive (6324.T / 日本) - 市值约 42 亿美元 主营业务：精密谐波减速机及一体化执行器制造，产品用于机器人、半导体和航天领域 供应链卡点：柔轮形变传动材料配方和超精密加工门槛极高，是关节精密传动的物理性供给瓶颈 Serenity的看法：已建仓持有，看好谐波减速器在整机材料清单中的高价值占比 ④ Vishay Precision Group (VPG / 美股) - 市值约 17 亿美元 主营业务：高精度箔电阻、应变片与称重传感器制造，应用于高端工业和国防测量 供应链卡点：箔电阻温漂表现极佳，是灵巧手精密力控和触觉反馈的不可替代上游 Serenity的看法：已建仓持有，看好其传感器业务，并认为其是特斯拉 Optimus 的潜在候选供应商 ⑤ 绿的谐波 (https://t.co/CpWZ2neauj / A股) - 市值约 92 亿美元 主营业务：精密减速器及机电一体化关节模块制造，主打高性价比和规模化量产 供应链卡点：实现规模化国产替代，大幅降低谐波减速器成本，是中国整机厂商降本的关键 Serenity的看法：看好但个人未建仓 ⑥ 舍弗勒 (https://t.co/FL1ra6rOXA / 德国) - 市值约 85 亿美元 主营业务：高精密轴承和线性执行器制造，2025 年起将人形机器人业务作为独立单元运营 供应链卡点：百年精密轴承技术平移，开发集成了行星丝杠的模块化线性执行器 Serenity的看法：看好但个人未建仓 额外信息补充： Serenity @aleabitoreddit 还提及其持仓的 AI 数据中心相关标的(如存储)也间接受益于机器人主题。她声明不建议复制仓位，仅分享个人研究思考 内存是本月市场的重点关注对象，而像 $AAOI 这样的光学股票则出现了回调，Serenity 认为最终会看到资金轮动回光子领域，这也是她个人最集中的投资主题 感谢Serenity提供的信息，以上内容仅供学习交流，请DYOR

I've reached 900k followers, thank you everyone! Just some reflection, it's actually a nightmare at higher counts... Which is new to me, since I started at almost nothing earlier this year. 1. Threats of safety, which I don't enjoy. - Random new accounts sending personal threats - Mysterious foreign accounts, sending coercive messages the moment I mention a foreign ticker If I hold an opinion about a stock, I'd prefer not to have anyone show up on the street with a knife at night since it's safety risk at this point... Never felt like I'd have to take that into consideration for holding an opinion. 2. Egregious media narratives - Lot of outlets try to dismiss my ideas like $RPI or $SIVE as "meme stocks" or me as "meme trader" when I talk about supply chain chokepoints or fundamental catalysts to revenue due to AI. Without ever covering the core ideas or hyperscaler mapping I've done. I let success validate my ideas, but it's annoying when they can just pretend their claims like "___ will imminently crash as a fact" which ends up not happening. Or that "___" is just a retail meme stock without mentioning $JBL, Ayar, $GFS or others for CPO scale up or pluggables. I'm grateful to some outlets, like in Belgium for $XFAB coverage, but many others try and paint their own narrative rather than covering a very nuanced thesis objectively. - When I mention a ticker in a foreign market, some try to frame me as some "adversarial account"! I'm just sharing ideas, and I'll always disclose positions/financial interest if I have them. If I say I have none, they just make up some narrative that I'm some foreign institution or random group inside their country that does. Some have even tried hilariously forging screenshots of me to harm my reputation, which was annoying to deal with. Since it's easier to textedit a photo and spread it around than it is to dispel disinformation. Lot of institutions know me personally by now. I just don't go broadcasting my identity to random people in the media/public, since personal security gets expensive and I just want to live about my day. 3. Endless X bot spam - I have endless hundreds of comments a day trying to link external communities pretending they're me. I manually delete, and block thousands of these accounts, sometimes hit regular people by accident. And it's extremely exhausting to the point my fingers cramp certain days. Even if I give the most blatant warnings in bio, people still get scammed and think it's me. Then I get blamed for it too. I actually had a conversation where someone asked if a scammer was me. I said no verbatim, then they double checked like 2-3 more times because they didn't believe I said no because someone had the same username on another scam platform. In another world, maybe we'll get automod type tools. But until then, it's mentally exhausting dealing with all of this. But I do so anyways since I don't want my followers to get scammed. 4. Endless engagement baiting - I have tons of people making up fake stuff about me, tagging me in posts, randomly bashing my ideas while missing any technical nuance in order to get me to comment or farm views. It's a catch 22 since the moment I reply, they get a lot of views, which was their goal. And if I don't reply it just looks like I'm avoiding something (which is not true). I'm very transparent, I always try and entertain people who disagree first. But when it gets into personal attacks or leading questions/disinformation rather than substance then I don't engage. It's a little sad though when people I've interacted with end up caring more about engagement over relationships down the road. 5. People missing the nuance - I share ideas pretty often and I always maintain I don't want people to copytrade or blindly follow, which is why I haven't set up any copytrading apps. Before it was just posting with a few $RDDT friends on ideas like $AXTI, $NBIS, or $ALAB, and people were more knowledgeable traders. Then seeing if markets validate my guesses like with InP substrate bottlenecks. But because many turned out directionally right, to the point it became a central talking point between China/US trade relations, lot of random folks started to follow my account last few months. But many of them miss nuances with float dilution, or material updates along the way such as rate hikes, and I get blamed if a thesis changes. Now since there's so many random people, even if I share an idea about $CBRS last Friday. At market open I had people panicking over a 2% drop, asking me if I did something to a $44B+ company, even if it went up 20%+ today. Now I have compliance review for posts, which delays things a lot but makes sure people don't get the wrong idea. And I have to be careful about my timing, so I post new ideas when markets close. Before, it was just sharing ideas the moment I had them during lunch or in the shower, so this is becoming a headache. 6. I post my core ideas for free. And I've always said this from the start. I actually made my subscribers chat literally by accident, and set the bare minimum amount on purpose since I didn't want to take people's money. But kept it so I could avoid the bots and not spam the main timeline with random thoughts/scrapped research. I think me becoming the #1 most subscribed to person on X was literally by accident. But lot of weird narratives out there when media or others don't believe that I just genuinely want to share my ideas for free. And that people shouldn't need to pay $300 in a paywalled community to see them. _ Not sure if people want to read it all, but just some things I've gone through. It's not as much fun at higher numbers and it would be nice to go back to when I was smaller. Regardless, I'd rather not turn this into a job, or make it feel like one. Will probably take a break when I hit 1M as a milestone and do something else that will help out the community like sharing my research pipelines and such. Think a lot of my friends at 10-50K follower counts, seem to experience some of these issues too. But problems get magnified a lot at this level. I never needed the X creator fees or anything, just wanted to share ideas for fun if people wanted to listen. And didn't expect any popularity, but it's nice to see that people find my ideas compelling.

For robotics companies, I have a favorable view on Unitree and Agility Robotics, two humanoid players. And I have largest concentration in Agility Robotics, since I personally prefer US humanoid players. For upstream component exposure, I currently own: - Harmonic Drive (6324) given high content BOM on things like harmonic reduction gear. - Vishay Precision for sensors and a possible candidate for Telsa Optimus. LeaderDrive (688017) and Schaeffler I have favorable views on but don't own personally. Many of the other AI DC players, I have indirect exposure to robotics like memory. Don't recommend anyone to copy, just sharing personal positions/thoughts. Humanoid sector is large, and as seen with Goldman Sachs report that "Korean companies will command a 30% direct and indirect share of global humanoid robot production". Lot of players out there globally. This was an older report but just linking it again since you see all of them pop up in GS institutional reports + what they cover. Agility Robotics is my personal favorite as of now.

@aleabitoreddit Thanks as always for your excellent notes!! What are the most compelling Robotic companies you are currently viewing?

Japan's Rakuten to establish joint venture with $ASTS to build out LEO satellite networks for Japan per Digitimes/Nikkei. "The move is widely viewed as a strategic response to the growing influence of $SPCX Starlink in Japan" https://t.co/RDFvgQNVsp

$GM cuts 1,000 workers and replaces them with 50 robots (Jun 22nd report) Reports also show GM is working on a deal with $NVDA on factory robotics. This is industry validation for robotics, since it likely demonstrates increased opex margins + efficiency from employee automation. Especially from companies like $AMZN to General Motors with assembly/warehouse lines that have high headcount. I think the technology is already here and use cases are already proven. Robotics/Humanoids are just pre-scale right now. The wording from large companies is “assistive robotics”… But in all honesty, it’s here to automate away the human workforce and increase profitability. I don’t think companies want to be paying insurance, salaries, etc. when robots can do a better job, and 24/7, so very sad to see potential job losses in the future from robotics automation. Whether people like it or not; seems like the inflection point for robotics is here.

Just some notes on $POET AGM and read through on optical markets: - "The top three laser suppliers control 68% of the market, and they’re completely sold out for the next two years" $LITE CEO said into 2028, so POET implicitly confirms laser shortage is going into 2029 now. - NRE with a new customer, building on POET’s interposer for high-power external light source. This is high confidence $SIVE as laser supplier given the Sept 29, 2025 PR on ELS, and new customer qualification would be material for revenue if it goes into volume ramp. - Poet expects Lumilens commercial agreement to scale to over $500 million over the next 5 years. Lumilens claimed a top-3 hyperscaler was their initial customer (Linkedin OSINT) - $830M cash on hand on balance sheet (this is more for Poet fundamentals). - "The entire optical components industry today is facing a severe shortage of critical components." Reaffirming what we know already regarding optical bottlenecks. - "Production ramp in the second half of 2026 this year." Just production timelines H2. In terms of $POET volumes: - existing capacity around 1 million optical engines per year - projected demand exiting 2027 around 1 million optical engines per month - roughly 10x capacity expansion I don't own Poet, but if management delivers on these projections it directionally looks very positive. However something to note is that unlike other suppliers that have named hyperscaler customers to to back up capacity revenues like $AAOI: $POET seems more questionable. But this does look like a very positive outlook for $POET if they match projections.

Honestly this decade from 2020-2030 might be the most goated in human history. - Scaling massive reusable rockets for orbital compute with $RKLB to $SPCX. - on the cusp of ASI and recursive learning with Anthropic and OpenAI - Backflipping Boston Dynamics and Unitree humanoids to replace the human workforce - Star Wars laser beams from $EOS.ASX to AI DC lasers like $LITE. - Waymo and $TSLA self driving cars everywhere in urban cities - and we get industry Quantum commercialization end of decade This is kinda crazy to be an investor in this timeframe. Feels like every movie from the Star Wars Death Star to Skynet is coming to life. What’s next?

Yup, Schaeffler $SHA0 is the ideal example for automotive players. ~ €7.47B MC auto player. - but also working with 45 humanoid players (extremely insane number, they do have €5.14b debt, EV is higher) - covers bearings, gearboxes, sensors/ECUs, actuators, power electronics. -ests. They can be roughly 50% BOM of a humanoid - targeting 10% market share of that. But only projecting a few hundred million revenue by 2030 (extremely sandbagged) if we’re using Elon’s projections for the market. Then’s theres auto players like Nabtesco (6268) for joints. And then Sanhua in China for $TSLA Optimus. Many of them are trade at lower valuations from drag from auto. But humanoids + AI Auto (TSM chairman cited this as a growth vector) should be a good catalyst past 2027 for automotive players. IMO there just needs to be a ChatGPT/Anthropic breakout downstream leader first for humanoids. That brings up the entire ecosystem that has robotics exposure. But as of now it’s probably like 1% of many of their overall revenue figures, and markets are focusing on immediate upside from bottlenecks like memory or MLCC. I’m sure we’ll see some random Toto-HBM type surprise as different humanoid architecture evolve.

Guess we finally found why $META signed massive agreements with Neoclouds like $NBIS back in March... And why Gemini got super nerfed. $GOOGL reportedly restricted Meta's capacity in March 2026 because of compute restraints. Google's CEO said from last earnings computing power restrictions prevented Google Cloud from taking on more customer needs and made the department's backlog nearly double the previous quarter. This is probably positive for the AI DC capex buildout since hyperscalers capacity is way below what is needed, and especially so if they can't rely on one another.

@aleabitoreddit Do you guys think auto supply chain and robotics supply chain will merge?

WSJ: “China Has Matched Anthropic in Cybersecurity, Resetting AI Race” China’s Zhipu AI, has matched Anthropic’s Mythos in certain benchmarks, such as exploiting cybersecurity bugs. Well, that’s not good. Instead of blaming the administration which did the correct thing… Anthropic’s clearly at fault for not setting enough guardrails to prevent distillation. Even before Fable release there were a lot of rumors that China had backdoors to distill it. Part of it is the trillions of capex to accelerate the AI moat. And the second part is not handing that work over on a silver platter for millions in API calls.

Robotics is next. Both deal count and investment amounts are skyrocketing per pitchbook March data (source: a16z) Good thing is: the same AI DC exposure often has cross-exposure to humanoid ramp. Like DRAM/NAND with memory (on humanoid inference/storage) or DFB lasers with photonics (FMCW LiDAR vision/sensing). Right now most exposure is upstream component parts… or programs within large players like $AMZN or $TSLA. So global IPO season H2 into 2027 for pure play humanoids/robotics companies is going to be fun.

Kinda nutty OpenAI’s is launching its heavyweight 5.6 Sol frontier model on $CBRS. At up to 750 tokens/sec, which is obscene performance. American inference go brrr. I actually picked up starter positions on Cerebras for the first time in the ~170s (below $185 IPO price) after seeing this news yesterday. Feels like validation of its tech. IMO a bit overvalued compared to profitable companies like $JBL at the same valuation. But there’s likely premiums for OpenAI exposure, as long as they stay the leader.

$SPCX / Elon Musk acquires Mesh, an optical networking startup. Which is working on 1.6T OSFP (pluggable). It’s seems they own the optical engine/packaging side of things, but likely sources CW DFB lasers off merchant companies. $SIVE is one of the more startup friendly plausible merchant suppliers as seen with Ayar to $POET? Maybe $LITE and $MTSI that were have a little history too, but less so. Regardless it’s very positive a lot of startups recently like Celestial have been acquired by Marvell. For both merchant laser supplier revenue (working with startups -> having hyperscalers like SpaceX drive revenue after being designed in already). As well as valuations from M&A desirability. Goes to show how optical interconnects is the right direction if Elon Musk is directly buying these companies.

Brooo, OpenAI is back and they're releasing their new model GPT-5.6 Sol. With their benchmarks, OpenAI claims: - Sol Ultra beats Mythos 5 and mogs it for coding/workflow. - And is better for bio/cybersecurity too. Pretty bullish on OpenAI again if they leapfrogged Anthropic.

Morgan Stanley: Retained its forecast for the Federal Reserve to hold interest rates through year-end (no rate hikes). Michael Gapen said incoming data since the June FOMC meeting has made it "marginally more comfortable" in its no-hike baseline. https://t.co/9OL7od94JP

just throwing out a random thought, the UBS report is anecdotally true + and it's interesting there's more Chinese reports on Anthropic distillation. Many US startups/companies using AI: Are using Chinese models like DeepSeek since they’re much cheaper than Gemini/OpenAI/Anthropic reasoning models for cost per task. Kinda a catch 22 when US is built on capitalism and everyone goes for the cheaper options. I think the US just has to get good and out innovate here: - both with heavy KYC-auth frontier models for US only like Mythos given those are being distilled by competitors. and amybe staggered tiers for allied partners so US is always ahead Maybe something like dedicated AI Google auth like FaceID + Persona would do the trick before access/key creation for the newer models, then short lived scopes. At least addressing those simpler fake/stolen account + pool allegations, requiring biometrics before use. Then US Gov drafting new regulations making it illegal for sharing access similar to identity forgery with bank accounts. - then the most obvious one is just heavily optimized reasoning models that mogs DeepSeek and others. Kinda good Trump admin paused Fable/Mythos access, imo not quite sure why a trillion dollar company keeps letting itself get distilled over and over again. There should be friction added if you’re accessing something close to ASI. TLDR: US just needs to good at cheap inference and add bank-grade authentication to AI model access. Easier said than done tho.

OFC I'm aware. But I'm personally sleeping comfortably since I have conviction in my hyperscaler mapping research with $SIVE. And yes, I still have my million+ share position. Not sure if people realize this: but I'm only here to share my thoughts/ideas. I don't control market volatility, what decisions you all make, or how markets react to new information synthesis. It's much safer for analysts to just reactively tag along Morgan Stanley/JP Morgan/Goldman Sachs research whenever it's created and just summarize. Rather than coming up with new ideas from OSINT mapping and waiting them get validated. Because when you discover a new angle: Everyone keeps heatedly debating topics of 4-6 inch InP fabs, employee count, who their hyperscaler customers are, volume ramp timelines, etc to try and play devils advocate with a thesis. Then actively monitoring every single 5-20% price movement. I'm forced to stay on this topic more since it's less validated + there's always heated discussions. Just like $EWY in Feb, which I did memory projections on + Helium/LNG/Oil analysis. But months later everyone sees memory looks structural with Micron's 16+ LTAs and LNG isn't taking down SK Hynix margins. Or $NBIS from last year in terms of sum-of-parts / dilution structures vs $IREN. And now it's close to ATHs and listed on $QQQ. I'm personally just waiting Sivers to volume ramp in 2027 + listing on NASDAQ to support their M&A efforts. So they can walk down the same path as $LITE when they scaled from $3B to $60B+.

@aleabitoreddit Your boy $SIVE is getting murdered rn

Just Elon Musk casually sounding the alarm. On the massive demand + price hikes for $MU / SK Hynix / Samsung memory relative to supply. He probably has higher visibility into the memory bottleneck than others… https://t.co/iszX0YJHuS

“What matters is not the eggs, it is the Goose itself” SoftBank probably down -13.5% today after markets saw this investor presentation today. Also the OpenAI IPO possible 2027 delay cause Altman wanted a $1T valuation might have been a small cause… https://t.co/q3edagxCBd

There's a global correction right now, no clue when it stops. Kospi is down -8.18% (Sk hynix/Samsung) Nikkei is down -4.8% TWSE Index is down -3.82% As you've seen with $SOI or $RKLB dropping 30-40%. From personal experience, high beta stocks get hit a lot harder, but usually frontrun index drops. And they typically recover earlier? Aside from Korea which is typically volatile, when major indexes start correcting 3-4% a day, usually not a fun time.

Looks like Power Semis are already starting price hikes. Which is bullish thematically for US power semi trade from $AOSL to $POWI, before the 800V DC shift fully hits. China's Yangjie Technology, announced a 2nd price increase this year, raising prices across its full product range by 10%-15%, July 1. Chongqing China Resources Micro, Silan Microelectronics, and NCE Power also price hiked. “Demand is playing a larger role than costs in the latest round of price increases” from AI DCs, to energy systems, and new EVs. Another potential beneficiary is the upstream material companies that make these: - nonferrous metals like copper and tin. -Plastic molding compounds - chemicals, and packaging consumables “Nearly all major Chinese power semiconductor makers have raised prices in 2026.” (Digitimes) So positive read through on power semi adjacent (reduce China-driven price pressure + better pricing + demand validation)

@wholemars @TovikkaX The production shortfall relative to demand is insane. MUCH higher production is needed.