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认为机构还没充分认识 SIVE 的上游激光瓶颈价值，可能在悄悄吸筹。
$SIVE 这个大约 4 亿美元市值的名字，我是真心相信的…… 机构错过了它作为超大规模云厂商上游激光瓶颈的价值。 看 $TSEM 按我的 thesis 走出来后，股价涨了 70%，市值到了 210 亿美元以上。 散户流不会把 NASDAQ 股票推高 100 多亿美元。 真正做到这一点的是信息发现和信息整合，尤其是在机构也验证并跟进之后。 $SIVE 以前大部分由瑞典散户持有，几乎没有机构投资者。 现在，关于 $MRVL、Ayar、Jabil、O-Net 的上游 CW 激光供应商的信息已经传播开来。 而且最近 $AVGO 和其他一些评论也明确说激光器是供应链里的明确瓶颈： 我强烈认为，机构正在用冰山单、VWAP 算法，或者其他任何方式，从瑞典散户手里吸筹，以便吃到即将到来的 CW 激光瓶颈。 再说一次，最接近 $SIVE 的对标是： $MTSI 和 $LITE，它们市值分别是 180 亿和 550 亿美元。 Sivers 的市值大约只有 4 亿美元。 在光子供应链发生架构范式转变的时候： 我觉得散户难得有机会去抢在机构前面布局 $SIVE，并重仓配置即将到来的 CW / EML 激光瓶颈。
英文原文
$SIVE at ~$400m MC is a name I genuinely believe... Institutions missed as the upstream laser chokepoint for hyperscalers. When you look at $TSEM following my thesis, the stock went up 70% to a $21B+ MC. Retail flows do not send NASDAQ stocks up $10B+. Information discovery and synthesis does. Especially when institutions validate it, and follow along. $SIVE was majority owned by Sweden retail investors, with **almost 0 institutional investors**. Now that information is distributed regarding the Upstream CW laser supplier for $MRVL, Ayar, Jabil, O-Net. And with $AVGO + other comments recently stating lasers were a clear bottleneck for supply chains: I strongly think that institutions are trying to accumulate off Swedish retail hands through Iceberg orders, vwap algos, or any other methods to gain exposure to the upcoming CW laser bottleneck. Again, the closest comparison to $SIVE are: $MTSI and $LITE, both at $18B and $55B MCs. Sivers trades at ~$400m MC. With architectural paradigm shifts in photonic supply chains: I think retail has a rare opportunity to frontrun institutions with $SIVE and have heavy exposure to the upcoming CW/EML laser bottleneck.
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认为 VLN 低于账面价值，且市场对以色列相关股票偏冷，但估值仍显著低估。
关于 $VLN，我不觉得自己错了。但市场显然不同意我的看法。 我学到了两件事： - 一些股票，像日本股，确实会交易到远低于账面价值 - 市场不太喜欢以色列股票，比如 $ETOR，我在那上面也亏了不少。 我还是觉得它被低估了。净资产（2.926 亿美元纯现金）对比 1.32 亿美元市值。 净资产是 1.05 亿美元，而且零负债。 那企业价值不就大概 2700 万美元？对于一家 2025 财年营收 7060 万美元、GAAP 毛利率 60% 的成长公司来说。 所以估值看起来很离谱。但股票市场偏偏就是这么运作的。
英文原文
As for $VLN, I don't think I'm wrong. But markets clearly disagree with my opnion. I've learned two things: - Some stocks like Japanese ones can trade way under book value - Markets don't like stocks from Israel like $ETOR for some reason (lost a lot on that too). I still think it's undervalued. Net assets ($92.6M pure cash) vs. $132M MC. Net assets is $105M with zero debt. So EV is ~$27M? For a growing company with 60% GAAP gross margins on $70.6M FY 2025 revenue. So valuation looks stupid. But somehow stocks operate that way.
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认为 LASR 与无人机股不同，因定向能武器和金穹扩展带来新催化。
@frsinvesting $LASR 和无人机板块的股票不一样，因为定向能武器现在因为 Iron Beam 的实战使用，拥有巨大的应用场景。 关键问题是它们是不是金穹扩展项目的承包商。我现在就在等这方面的消息。
英文原文
@frsinvesting $LASR is different than drone sector stocks, since energy directed weapons have a massive use case now from Iron Beam live usage. The main question is if they're the contractor for golden dome expansion or not. I'm just waiting for news surrounding that.
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解释不做跟单，是为了让别人自己建立 conviction。
我之所以没有设置跟单，是因为我不想让大家盲目跟随。 我分享的是那些一路上帮助我建立自己信念的想法。 如果别人能从中学到一点东西，最后也建立起自己的 conviction，那这才是最理想的方式。
英文原文
The reason I haven't set up copy-trading is because I don't want people to blindly follow. I share ideas that helped me build my own conviction along the way. And if people learn a thing or to and end up building their own conviction, then that's the ideal way to go about it.
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概述自己的打法：先识别新兴赛道，再沿整条供应链做多，同时强调风控和透明。
如果你现在还不了解我的风格： 我会先识别即将起来的赛道（光子学、存储、无人机），然后沿着整条供应链去做多。 当然，我也不是每次都对。 $AVAV 和无人机板块是我今年除 $RDDT 外亏得最多的（不过 $OSS 最后涨了 60%+）。 我仍然从基本面上相信像 $AIRO、$LPTH 等公司长期都非常扎实。（$AIRO 现在仍然涨了大约 15%，但它曾经 70%+ 的涨幅大部分都没了，Draganfly 跌得更多。） 而且光看 $SNDK 这种超级周期，就会产生一种非常不现实的预期，觉得每个月都能涨 100%。 我在那个板块里识别的主要催化，是委内瑞拉入侵带来的隐蔽无人机 + 前沿防御合同 / 分包商需求。 我也预期后续会有资金继续流入这个板块。 不过，在格陵兰协议那一段，我提过自己已经开始降风险了（大多数防务承包商都跌了），但我还是保留了像 $AVAV 这种较小仓位。 SCAR 项目输给其他公司，比如 $AVAV，这也是个更大的意外，我亏得更多。 不幸的是，伊朗战争这次主要冲击的是像 L3 Harris、$NOC 这种更大的防务承包商，以及像 Anduril 这样的私营公司，还有一些定向能供应商，比如 $LASR。 所以无人机公司并没有多少顺风修复。 尽管如此，我确实知道怎么止损。 但我还是经常被人喷，说“看你今年早些时候喜欢过的 X 股票”。 在这件事上我很透明：$IREN 社区里某些高管，在他们的粉丝因为 $BKKT 或 $ASST 稀释后亏掉 90% 之后，会把所有帖子都删掉。 我挑的多数股票基本面都非常扎实，所以从最初 thesis 出来以后，它们要么守住了自己的价位。 而且我也会把风险等级 / 信念等级一起写出来（风险高的当然下行也更大）。 我比那些只会发热评的人更有 skin in the game。 所以如果我的 thesis 错了，我自己也会亏钱（这种例子还有很多，像 $AVAV 这种就是无穷无尽的亏损）。 但我会把所有东西都留着，让你们自己看事情最后怎么演变。
英文原文
If you don't know my style by now: I identify upcoming sectors (photonics, memory, drones), then go long on the entire supply chain. I'm not always right, though. $AVAV and the drone sectors were my biggest losses this year outside of $RDDT ( $OSS did end up 60%+ ). I still believe fundamentally companies like $AIRO, $LPTH and others are extremely solid long term. ( $AIRO is still up ~15%, but lost majority of it's 70%+ gains, Draganfly dropped way more) And there's very unrealistic expectations from looking at $SNDK supercycles that everything can go up 100% a month. The main catalyst I've identified around that sector was the Venezuela invasion's usage of hidden drone + edge defense contracts/subcontractors. And I expected there to be follow-up funding into the sector. However, I mentioned I de-risked around the Greenland deal (majority of defense contractors crashed) but kept smaller concentration in stuff like $AVAV. SCAR program loss to others like $AVAV was even a bigger surprise and I lost even more. Unfortunately, the War in Iran focused around larger defense contractors like L3 Harris, $NOC and private companies like Anduril, and some energy directed suppliers like $LASR. So there weren't many tailwind recoveries for drone companies. That being said, I do know how to cut losses. But I still get a lot of crap saying oh look at "X stock they've liked earlier in the year". I'm very transparent when it comes to these things: A certain executive in the $IREN community are known to delete all their posts after their followers lose 90% on $BKKT or $ASST post-dilution. Majority of my stocks I identify are extremely solid fundamentally so they either hold their level since my original thesis. And I post risk-levels / conviction-levels with them too (risky ones obviously have more downside). I have skin in the game compared to others that just post hot takes. So if my thesis is wrong, I lose money personally (there's ton of more fills like this, just endless losses on $AVAV). But I leave everything up so you can see how things play out.
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感叹很多人会嫉妒持有平庸股票却错过暴涨标的。
@beauty_oe 世界上有很多人，手里只握着像 $PYPL 这种无聊的股票，却眼睁睁看着像 $AXTI 这种标的暴涨几百个百分点，于是心里发酸（或者说懊恼）。 我完全理解自己组合表现不好的时候，很难真心替别人高兴。
英文原文
@beauty_oe 世の中には $PYPL みたいな退屈な株をただ握りしめたまま $AXTI のような銘柄が数百パーセントも爆上げするのを見せつけられて、僻んでいる（悔しがっている）人が山ほどいるよね。 自分のポートフォリオの成績がイマイチな時に、他人を素直に応援できない気持ちはよくわかるよ。
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解释 SIVE 大涨的真正催化来自会议确认和光源瓶颈，而不是一条 X 帖子。
所以有深度投资者（像你们），也有交易员（像我）。 投资者往往忽略的是，究竟是什么让像 $SIVE 这样的股票上涨。 对我来说，我把时间点卡在 $NVDA GTC 和 OFC 大会附近，因为 Nvidia 推进 CPO 架构大概率会有新消息。 这波抛物线式上涨的原因是： -> $SIVE 被确认是 O-Net 的光源。 -> $SIVE 又在 OFC 上被确认是 Jabil 的光源。 这些才是我那篇 thesis 发出后最大的催化。 它本来就已经很不对称了，因为还有 $POET -> $MRVL Celestial，以及 Ayar 这一层。 而 Jabil 的可插拔公告正好又和我做多的时间点重合，只是锦上添花。 这不是“发一条 X 帖子，股票就涨 300%”那么简单，事情没那么运作。
英文原文
So there's deep investors (like you), then there's traders (like myself). What investors miss is what causes a stock like $SIVE to go up. For me, I timed it around $NVDA GTC + OFC conference, since there's likely new news around Nvidia pushing CPO architectures. The reason for the parabolic rise is: -> $SIVE confirmed as light source to O-Net. -> $SIVE confirmed as light source to Jabil at OFC. These were the biggest catalysts after my thesis post was announced. It was already asymmetrical due to $POET -> $MRVL Celestial as well as Ayar. But the Jabil plugabble announcement timed with me going long is a cherry on top. It's not just an "X post, stock goes up 300%", doesn't work like that.
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赞扬 Grok 算法更新，并提了一个回复隐藏的可能 bug。
@nikitabier 很高兴听到新的 Grok 算法改动！ 顺带说一句，好像有个 bug：如果你删掉一条评论回复，然后再回复同一条评论，它第二次就会被隐藏。有人能看一下吗？
英文原文
@nikitabier Glad to hear the new Grok algo changes! On a side note, there's a possible bug where if you delete a reply to a comment. Then reply to the same comment, it just gets hidden the second time, can someone take a look?
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说如果围绕 SIVE、MTSI、LITE 建立自己的 conviction，就会理解估值仍便宜。
@Berlinergy 没错。很多事情归根结底就是理解不够。 如果人们能围绕 $SIVE、$MTSI、$LITE 这些名字建立起自己的信念，看到 EML / CW 的瓶颈会有多严重。 那等你看到它们已经涨了 125%+ 的时候，你还是会觉得它们被低估了。
英文原文
@Berlinergy Exactly. Lot of things come just a lack of understanding. If people developed their own conviction around names like $SIVE, $MTSI, $LITE if they saw how severe the EML/CW bottleneck is going to be. Then when you see a 125%+ increase, you would still think it's undervalued.
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认为 SOI 估值重估较慢，但硅光和 CPO 放量会带来上行。
@excu4e16421 $SOI 的重估速度比 $AAOI 慢，但我觉得它已经接近旧业务拖累周期的底部，而且它们提供的衬底会从硅光 / CPO 放量中受益。 一年后也许能有 2.5 倍，这其实已经很好了，不是每只票都能三个月翻三倍。
英文原文
@excu4e16421 $SOI is slow rerating compared to $AAOI but I do think it’s the bottom of their legacy drag cycle but they get upside from silicon photonics/cpo ramp up with the substrates they provide. Maybe 2.5x in a years time (which is still good, not everything triples in 3 months)
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感谢对 LITE 的评论，并说自己没那么早，但也拿到了三位数回报。
@itsthesquonky 谢谢你对 $LITE 的评论，那真的很传奇。 和你最早发现它的时候比，我也算不上特别早，不过至少还是拿到了三位数回报。
英文原文
@itsthesquonky Thanks for your comment with $LITE, it was legendary. Wasn’t too early to that one compared to when you spotted it but at least it returned triple digits.
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认为 SIVE 和 IQE 可能都能成为 10 倍股。
@_Livesofourdays 是啊，$SIVE 和 $IQE 对我个人来说都有可能成为 10 倍股。 很期待看看它们最后会走到哪里。
英文原文
@_Livesofourdays Yeah $SIVE and $IQE are both possible 10x’s for me personally. Excited to see where they head
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说自己每条帖子都会屏蔽很多机器人。
@chixxtrump 我每发一条帖子，大概都得屏蔽 20 个机器人。 相信我，我已经在尽力了。
英文原文
@chixxtrump I block around 20 bots per post. Trust me, I’m trying
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说明自己在教散户如何通过识别 AI 架构变化来抢跑机构。
我在教散户如何通过识别 AI 架构变化来抢跑机构，用 $AXTI 以及其他名字做例子。 然后再去挑供应链里的赢家。 这类信息通常会比传统模式快很多被计价： $2 万美元以上的卖方研究报告 -> 机构用几周时间通过限价单 / 暗池慢慢买 -> 等散户知道时，股价已经涨了 1000% 以后。
英文原文
I’m teaching retail how to frontrun institutions by spotting architectural changes in AI with $AXTI and others. Then picking the winners in the supply chains. It tends to get priced in a lot faster than the traditional model of $20K+ sellside reports -> institutions load up over weeks with limit buys/dark pools -> retail finds out after it’s gone up 1000%
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认为 SIVE 是光学激光瓶颈的最高暴露标的，已经是多家供应商的 CW 光源。
@NBA_GSW_30 我真的很喜欢 $SIVE，它是光学激光瓶颈里最有暴露度的标的！ 它们已经是 Jabil、Ayar、Marvell Celestial、O-Net 等很多供应商的 CW 光源。 而且我觉得这家公司还有很长的路要走。
英文原文
@NBA_GSW_30 I really like $SIVE as the highest exposure to the optical laser bottleneck! They’re already the CW light source for many suppliers like Jabil, Ayar, Marvell Celestial, O-Net. And I think the company has a long way to go
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说自己在无人机股上亏了六位数，已经减仓转向光子学。
抱歉听到这个，像 $AVAV 和 $DPRO 这种无人机股票是我亏得最惨的，我在这上面实打实亏了六位数。 我之前发过自己已经在格陵兰和平协议之后止损了这些票，$AVAV 最近又因为 SCAR 项目失利继续受挫。 然后我就把仓位转去光子学了。 这次伊朗战争更多打击的是更大的军工承包商，而不是像委内瑞拉那次那样主要打击无人机公司。 我在 X 上发得很多，但并不是每条都能显示给所有关注者。
英文原文
Sorry to hear, drone stocks like $AVAV and $DPRO were my biggest losers and I lost solid 6 fig on that. I posted earlier I cut my losses on them since Greenland peace deal, $AVAV recently on the Scar program loss. And rotated to photonics. The Iran war tended to be a lot of the larger military contractors this time around, compared to drone companies used in a Venezuela. I post a lot on X, and not everything shows up to followers unfortunately.
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说 AAOI 自己已经涨了 3 倍以上，对其仍然高信念。
@usbastats $AAOI 自从我做多之后已经涨了 3 倍多……我只是因为名字太多，一时忘了它。 但对 $AAOI 依然是高信念。
英文原文
@usbastats $AAOI is up over 3x since I went long… I just forgot about it since there were too many names But yes high conviction with $AAOI
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强调自己靠信息发现和机构验证提前抓到多只大涨股，并反问为何现在还被质疑。
我在想…… 无论是 $AXTI、$IQE 还是 $SIVE。 还有我做多的很多其他光子学赢家，比如 $LITE，过去几个月回报都是 100% 到 1000%。 那些酸的人什么时候才会承认…… 我的 thesis 其实就是对的。为什么还要贬低它？ 像 $TSEM 这种市值 200 亿美元以上的公司，不会在两周内涨 70%，除非机构验证了 thesis 并觉得它有说服力。 $AXTI 也是一样，除非机构觉得它有说服力，否则不会从 4.5 亿美元市值一路涨到 38.5 亿美元。 我只是比别人更早发现这些东西，并做信息整合 / 信息发现。 在这些案例里，散户明显先于机构行动，而且赚到了改变人生的收益。 如果 thesis 是错的，机构可以站在交易的另一边。可他们并没有这么做。 X 上所有人都在问下一个 1000% 在哪。 而当有人在 X 上免费发出多个想法， 在价格还没动之前就明确给出方向性交易， -> 然后它们像 $AXTI 一样真的涨了 10 倍： 得到的却是诽谤？ 也许你该想一想……是不是 thesis / idea 本来就是对的？
英文原文
I’m curious… With $AXTI, $IQE, or $SIVE. And the many other photonics winners I’ve longed like $LITE that returned 100-1000% over the past few months. When is it time for the salty folks out there to admit… That my thesis are just right after all. Instead of downplaying it? $20B+ companies like $TSEM don’t just move up 70% in 2 weeks, unless institutions validated the thesis and found it compelling. Same with $AXTI, it wouldn’t have ran from $450M MC to $3.85B MC unless institutions found it compelling. I just spot these before others do, and post information synthesis/discovery. In these cases, retail has clearly frontrun institutions and made life changing returns. If the thesis were wrong, institutions can take the other end of the trade. Which they don’t. Everyone on X keeps asking for the next 1000%. And when there’s someone out there on X that posts multiple (for free) ideas. Posts a clear directional trade before the price even moved. -> then they do ~10x like $AXTI: They’re met with slander instead? Ever stop to think… maybe the thesis/idea was right after all?
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感谢对方觉得自己的观点有帮助。
@TheValueist 很高兴你觉得我的想法有帮助！你这么说让我挺受宠若惊的。
英文原文
@TheValueist Glad you found my thoughts helpful! Feel flattered you think that way
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认为光子学并非纯投机，超大规模客户订单已排到 2028。
我不会说这只是投机。超大规模云厂商从 $LITE 到 $COHR 的订单都已经排到 2028 年了。 就连 $TSEM 也有 70% 的产能被预订，而且它 2028 年的前瞻市盈率也才大约 20 倍。 CW / CPO 对光子学来说更像是投机部分，而不是可插拔光模块周期本身。可相比存储 / GPU，它其实也算合理。 不过我觉得大家现在盯的光子瓶颈右边，像 PCB 之类，挺有意思的。
英文原文
I wouldn't say it's speculative. Hyperscalers have orders completely booked until 2028 from $LITE to $COHR. Even $TSEM has 70% of their capacity booked and it's low fwd ~20 P/E 2028. CW/CPO more speculative for photonics, not the pluggable optical transceivers cycle. But compared to memory/GPUs, makes snse. But think everyones looking at photonics bottlenecks right low like pcb, which is funny
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希望按订阅者数量做 discovery，便于在各赛道里找到高信号的人。
@nikitabier 能不能也像其他平台一样，按订阅者数量做 discovery？ 感觉那样会是个挺有趣的方式，能按不同板块找到高信号的人。
英文原文
@nikitabier Can you add discovery too based on subscriber count like other platforms? Feels like that would be fun way to find high signal folks based on each sector
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讨论 Google TurboQuant 对 DRAM/NAND 的影响，认为更像效率提升而非需求坍塌。
谷歌的 TurboQuant…… 以及它对 $SNDK、$MU、海力士和其他公司的影响： 它做的事情是： -> KV cache 内存占用减少 6 倍 -> H100 GPU 速度提升 8 倍 它本质上是一个压缩算法。 那现在问题来了……它会把存储压下去吗？ -> 大概率不会。 不过这也许对 $ARM 和其他公司是利好，因为你可以本地跑 AI，而不是依赖 DRAM-heavy 的数据中心。 但话说回来： -> 这基本上就是 DeepSeek round 3。你能让算法更高效，但这并不会替代存储或者 GPU。 -> 它可能会在结构上略微降低 DRAM 需求。 -> 而且到目前为止，好像也只在 Gemma、Mistral 和 Llama-3.1 这些小模型上测试过（而且那篇论文已经发了一年了） 另外，市场还把 DRAM 和 NAND 混在一起看……这个算法压的是 KV cache（DRAM），并不会对 NAND 存储有什么作用？ 不管怎样： 算法总会变得更高效。大家老说杰文斯悖论，这没错，因为这只是把用途规模继续放大。 真正该看的还是超大规模云厂商的 CapEx 预期，而不是让事情更高效的 Google 算法。 我更觉得这是个叙事层面的逆风，而不是对盈利有实质影响。
英文原文
Google's TurboQuant... And it's effect on $SNDK, $MU, SK Hynix, and others: What it does: -> 6x reduction in KV cache memory footprint -> 8x Speedup on H100 GPUs It's a compression algorithm. Now... Will it beat down memory? -> Prob not. Implications might be bullish for $ARM and others though where you can run AI locally, rather than DRAM heavy DCs. However: ->This is basically DeepSeek round 3. You can make algorithms more efficient. But that doesn't replace either memory or GPUs. -> It could structurally (and slightly) reduce DRAM demand. -> think it's only been tested on small models so far like Gemma, Mistral, and Llama-3.1 (and paper's been out for a year) Also, markets conflated DRAM with NAND... this algo compresses the KV cache (DRAM). Doesn't do anything to NAND storage? Regardless: Algorithms will always get more efficient. People keep saying Jevons Paradox, which is true since this just scales use cases. Main thing to look out for is hyperscaper capex projections, not Google Algorithms that made things more efficient. Feels more like a narrative headwind than anything material to earnings.
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说自己在 AVAV 上亏了六位数并转向光子学。
@bennybigbull 没有，已经卖掉了 $AVAV，还亏了六位数，然后转去光子学了。
英文原文
@bennybigbull Nope, sold for solid 6 figure loss on $AVAV and rotated to photonics.
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说自己对 SIVE 高信念，同时也看好 ARM、AAOI。
@Jornka329996 谢谢！$SIVE 对我个人来说是高信念标的。即便现在市值大概只有 4 亿美元左右，我也是这么看。 $ARM 和 $AAOI 这种价位下，长期看起来也很有潜力！ 这周我还在看另外两家大盘公司。
英文原文
@Jornka329996 Thanks! $SIVE is high conviction for me personally. Even so at these levels around ~$400m MC. $ARM and $AAOI seems promising long term at these levels too! I did have two more large cap companies I'm looking at this week.
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抱怨算法越来越烦人。
@AverageDipBuyer 算法真是越来越烦了。
英文原文
@AverageDipBuyer algos are getting annoying
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劝别人不要 FOMO 买进机器人抓取帖子的人。
@omoliverm 对啊……请不要因为机器人在抓取我的帖子就 FOMO 买入。 这种公司更新已经有点离谱了。
英文原文
@omoliverm Yeah... Please don't fomo buy into the bots scrapping my posts. This is getting a little ridiculous for a company update.
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持有 VPG 作为 TSLA Optimus 传感器供给的一部分，但不确定是否会被中国伙伴替代。
@throughthetape 我持有 $VPG，因为这曾经是我做 Tesla Optimus 的多头标的。 不过，我也不能 100% 确定它们是不是已经被中国合作伙伴在量产放大时设计绕开了…… 但这段话看起来又像是它们仍然是关键供应商？真的很难完全确定。
英文原文
@throughthetape I have a position in $VPG since this was my $TSLA Optimus long. But, I'm not 100% sure if they got designed out or not by Chinese partners for mass production ramp... However, this statement makes it sound like they're still a critical supplier? Really hard to know for sure.
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把 VPG 视作 Tesla Optimus 传感器供应链的一环，并引用机器人量产目标。
我很久没再聊 $VPG 了。 这曾经是我看 Tesla Optimus 放量的一个传感器标的。 本周 Sidoti 大会上有个非常重要的线索： “到 2026 年底前，每周有可能扩产到几百台机器人。” 这听起来是不是很像 Optimus？ 如果按他们 CEO 那句“每台机器人 500 到 1200 美元”的说法来看：也不差。 但当然，很多机器人供应链在真正的人形机器人大规模拐点出现之前，基本都还是死钱。 也许 Unitree IPO 会让机器人供应链稍微活跃起来。
英文原文
Been awhile since I covered $VPG. This was a sensor play for $TSLA Optimus Ramp. Very important breadcrumb this week at the Sidoti Conference: "Potential to scale to hundreds of robots per week by the end of 2026." Kinda sounds aligned with Optimus? No? If we go off their CEO "$500-$1.2k per robot" statement: Not too shabby. But of course, a lot of robotic supply chains are kind of dead money until the actual inflection point humanoids at scale hits. Maybe Unitree IPO sparks some life into robotic supply chains soon?
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说自己会之后再发 turboquant 的研究。
@SlumberMD 我今天正好在研究 turboquant，之后我会发一篇关于它的内容，问得很好。
英文原文
@SlumberMD i'll post something on turboquant, was researching it today, good question
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明确表示不是推荐，若要买请自己尽调。
@Tanguy_mk1 绝对不是推荐这个。 如果你想买，请自己做尽调。
英文原文
@Tanguy_mk1 not recommending this at all. if you want to buy it, do your own DD