Stargazer

individual investor, ex-pension fund/ hedge fund analyst. Vision without execution is hallucination

[The White House @WhiteHouse]

“The U.S.A. is locked and loaded and ready to go against the Islamic Republic of Iran, at levels of Military Terror, Strength, and Power not seen since World War II. Despite this, we have just been asked by Iran, and other Middle Eastern Countries, to hold off any attack in that the perimeters of a deal has been agreed to. This would include the Immediate, Complete, and Total OPENING OF THE HORMUZ STRAIT…” - President Donald J. Trump

[Stargazer @Stargazerda]

73% of total hyperscaler capex mix just means either memory spending is overly high or hyperscaler capex should be even higher in 2027. IMO, it looks like the memory unit price should be massively lower. It appears to be too high to be favorable for the whole AI supply chain.

[P Equity Research 📰 @pequityresearch]

Breakdown of the memory spend for hyperscalers. UBS projects DDR spend of $190.6 billion in 2026 and then $448.9 billion in 2027, an increase of ~135%. Total memory spend to increase by 127% in 2027.

$MU $DRAM $EWY

[Stargazer @Stargazerda]

@mzuhair123 I heard some rumours saying there might be a deceleration of MoM growth for anthropic, probably due to a more use of open source models. But OpenAI topline appears to accelerate. I m wondering the market might look for some sustainability for growth and profitability.

[Noam Brown @polynoamial]

An internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science.

We believe it will be a major step for scientific reasoning. https://t.co/iP6cyheZ7i

[Stargazer @Stargazerda]

@BabybusFL 老师怎么看这周末美国重启伊朗行动，同时美债长端还在高点，难道有些许迹象反转？

[Stargazer @Stargazerda]

@Kay2289123 同时已经发布财报的hyperscaler的ai/cloud business 同比增速均创新高，operating margin也创新高。一定程度上会持续缓解大家对ai ROI的担忧

[Stargazer @Stargazerda]

@cherryPayment 是的，虽然看着浮亏心里不��服，但是相信下一波行情一定会创新高

[Stargazer @Stargazerda]

@jukan05 Any source of the information?

[Stargazer @Stargazerda]

@jimmyhuli 但盘后反应似乎没前几周那么激烈了，q3 computing方面ramp up也被管理层多次强调。看周三fomc后市场是不是会企稳

[Stargazer @Stargazerda]

@jimmyhuli @HiCagr Maybe this is deliberately smoothed for the next several quarters

[Stargazer @Stargazerda]

@WayWLeung 除了精简队伍，还有持续扭转企业文化的问题。现在北美这边大企业普遍人浮于事。我的感受是，打个不恰当的比喻，相当于毛时代的工厂。这类文化是绝不可能有竞争力的

[Wall St Engine @wallstengine]

TD Cowen: Q2 data center leasing reached a record 9.6 GW, led by $META, $MSFT and $GOOGL

Its channel checks also indicate a record 12.5 GW leasing pipeline, as OpenAI raises its 2030 infrastructure roadmap to 30 GW.

[Stargazer @Stargazerda]

@ShanghaoJin @yuxin_pig @agintender 加油jin！ 看你视频和x上的post很久了。���个世界不该是个二极管的世界。很喜欢你发表的观点，而且认同观点在于交流而不是盲从！

[Yun-Ta Tsai @yunta_tsai]

Our lifespan is a session.
Our memory is a context.
Our senses are the input stream.
Our thoughts are the reasoning steps.
Our decisions are the tool calls.
Our habits are the system prompt.
Our goals are the objective function.
Our emotions are the reward signal.
Our relationships are the shared state.
Our regrets are the residual errors.
Our growth is the fine-tuning.
Our death is the context window closing.

And whatever remains—the traces left in others—becomes the training data for the next agent.

[AJ Investment Research @alojoh]

In this analysis we share what most institutional investors miss about hyperscalers and their CapEx firepower.
https://t.co/z8LENWcko4

[Stargazer @Stargazerda]

@J5jayfive Very nice article. This reminds me that NVDA mentioned the enterprise capex actually is increasing fast in the coming quarters.

[Stargazer @Stargazerda]

@bubbleboi You still have your WeChat account open to add ? lol

[Stargazer @Stargazerda]

@ShanghaoJin @cc11344 再聊聊intc 😆

[Tigris 会讲课教授是好老师 @tig88411109]

我不做 Coding，所以很难完全体会程序员在层出不穷的AI发布下，此刻兴奋与焦虑齐飞的感觉

一边是生产力被成倍放大，另一边是职业护城河加速崩盘

但在金融行业，我可以负责任讲大量年薪20万美元以下初中级投资分析岗位，快速失去价值。这是篇投资分析从业者必读指南👇

过去我需要两三名助理研究员帮助搜集和整理基础资料

现在很多工作，我自己借助AI完成，反而更快更好，也更省心。因为我不需要反复解释背景、修改方向，更不需要为低质量交付重��返工

过去的投资分析工作，搜集数据资料、基础模型、总结���报、集合券商观点，AI已经可以做得更快更完整幻觉少

那么刚进入金融行业的年轻人是不是没有出路了？

恰恰相反，现在可能是你们向上跃迁最快的窗口

因为真正发生的，不是AI简单取代分析师，而是会使用AI、同时拥有产业知识和判断能力的人，正在取代老派的只会执行标准化任务的分析师。

不要再把时间浪费在AI已经能够完成的数据搬运和报告整理上。尽快选择一到两个技术门槛高、产业链复杂的行业，真正理解它的技术路线、供应链、竞争格局、财务传导和周期规律。

底层用AI压缩学习曲线，上层再把行业理解与宏观、估值和市场博弈结合起来。

你需要完成的转变，是从��出售工作量”变成“出售判断力”。

过去，一个年轻分析师可能需要十年，才能接触到足够多的信息和案例。现在借助AI，一两年年甚至更短时间，就有可能建立过去需要十几年才能形成的知识密度。

真正的机会，不是守住那些正在消失的低端岗位，而是借助AI完成向上替代。一个掌握新工具、拥有产业深度、能够验证信息并形成独立判断的年轻人，完全有可能取代那些年薪50万到100万美元，却仍然依赖资历、信息差和旧方法生存的中高级分析师。

AI不会让金融行业变得更平等。它会直接炸掉中间那层依靠信息整理和经验惯性维持的职业阶梯。

未来真正值钱的，不是什么首席高不高级分析师这title，而是你能否提出AI不会主动提出的问题，识别它给出的错误，建立更加极端和跳跃性的联系，并在不确��性中做出最终判断。