Herrington Darkholme

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Herrington Darkholme

Herrington Darkholme

@hd_nvim

🌐 Frontend Vimmer ⚒️Open Source with @typescript @vuejs and @rustlang 🚀 https://t.co/SLjF6No9qD is my hobby project

Katılım Temmuz 2011
2.7K Takip Edilen7.9K Takipçiler
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Herrington Darkholme
Herrington Darkholme@hd_nvim·
Announcing the book "𝑀𝑎𝑠𝑡𝑒𝑟𝑖𝑛𝑔 𝑎𝑠𝑡-𝑔𝑟𝑒𝑝"!🦉 The book is a structured deep-dive: we start with the mental models of ASTs, move to rule composition, and end with advanced usage. It’s the place where design principles and philosophy are explained. Link below ↓
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Bill Ackman
Bill Ackman@BillAckman·
As two of the largest forces in equity markets -- growing index ownership and increasing amounts of capital controlled by extremely short-term-oriented, leveraged, volatility-intolerant investors -- converge, we have found occasional opportunities to acquire some of the most dominant long-term compounding franchises at attractive valuations. For example, we acquired Alphabet $GOOG when the stock declined substantially on the release of ChatGPT in late 2022, Amazon $AMZN in the weeks following Liberation Day, and $META more recently on the market's response to the company's unexpectedly large cap ex guidance and expenditures. In our 13F which we will file later today, we will disclose a new position in Microsoft, a company we have followed for many years now offered at a highly compelling valuation. While $PSUS will not be filing a 13F tomorrow, it has also recently made $MFST a core holding. Microsoft operates two of the most valuable franchises in enterprise technology, which account for approximately 70% of the company's overall profits: M365 and Azure. M365, the company's productivity suite, is the dominant operating platform for knowledge work, with over 450 million workers using Word, Excel, PowerPoint, Outlook, and Teams on a daily basis. Azure is the world's second-largest hyperscaler cloud platform and, like AWS in our Amazon investment, is a direct beneficiary of the multi-decade migration of enterprise IT workloads to the cloud, which is now further accelerated by surging demand for AI inference workloads. Both M365 and Azure are underpinned by Microsoft's unparalleled enterprise distribution and the security, compliance, and identity infrastructure it has built and refined over decades. Beyond these core franchises, Microsoft also owns a portfolio of other leading businesses, including LinkedIn (the world's largest professional network with 1.3 billion members), its gaming platform (Xbox and Activision Blizzard), and search and news advertising (Bing and the Edge browser). We began building our position in MSFT in February following a meaningful share price decline after the company reported its fiscal Q2 2026 results. We were able to establish our position at a valuation of 21 times forward earnings, broadly in line with the market multiple and well below Microsoft's trading average over the last few years. Notably, MSFT's headline multiple does not reflect the value of Microsoft's approximately 27% economic interest in OpenAI, which would represent approximately $200 billion, or 7% of Microsoft's market capitalization, at OpenAI's most recent funding round valuation. We believe Microsoft's recent share price decline has been principally driven by investor concerns around two key issues: i) the competitive positioning of M365 against increasingly capable AI lab offerings (notably Anthropic's Claude Cowork), and ii) the durability of Azure's growth, especially in light of Microsoft's evolving relationship with OpenAI. In our view, investors underestimate the resilience of the M365 franchise given its deeply embedded role across enterprises and highly attractive price-value proposition. Unlike point software solutions, which may be vulnerable to disintermediation by better-performing AI alternatives, M365 is tightly integrated into the daily workflow of nearly every large enterprise and is supported by Microsoft's identity, security, compliance, and data governance infrastructure, which would be nearly impossible to replicate. Attractive bundle economics further reinforce Microsoft's advantage, with monthly average revenue per user on the M365 suite at approximately $20, less than half of what customers would pay to purchase the underlying applications individually from different vendors. Moreover, we are encouraged to see Microsoft prioritizing its R&D efforts and investment in Copilot, its own AI agent embedded across M365, with direct involvement from CEO Satya Nadella. We believe these efforts will translate into improved product velocity and greater customer adoption over time. Alongside Copilot's rollout, the company has also begun shifting its pricing model from pure per-seat licensing to a hybrid model of seats plus metered consumption, which helps expand the company’s revenue opportunity as AI agents drive incremental usage that a seat-only structure would not capture. These initiatives should help sustain M365’s strong underlying growth momentum, which was already evident in the business unit’s 15% revenue growth (in constant currency) last quarter. We believe concerns regarding Azure's growth trajectory are similarly misplaced, particularly in light of the franchise's exceptional recent performance. Azure revenue grew 39% in constant currency last quarter, with company guiding to modest acceleration through the second half of the year. We view Microsoft's recent decision to restructure its OpenAI partnership not as a concession but as part of a deliberate pivot toward a more open, multi-model architecture that better serves enterprise customers, who increasingly seek optionality across model providers. Microsoft recently disclosed that over 10,000 enterprise customers have used more than one model on Azure Foundry, the company’s modular AI model marketplace. This model-agnostic approach also strengthens Copilot, which can auto-route queries across multiple models to deliver the optimal output for a given task. To support Azure's rapid growth amid persistent supply constraints, Microsoft has raised its calendar year 2026 capex budget to approximately $190 billion. Consistent with what we have observed at hyperscaler peers Amazon and Google, we view this spend as growth capex that should drive future revenue generation. This is particularly true for Microsoft, given that roughly two-thirds of its capex budget is allocated to server and networking equipment that correlates directly with near-term revenue. Like our purchases of $GOOG, $AMZN, and $META, we believe that $MSFT offers analogous and compelling long-term value at today's valuation.
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Nick Timiraos
Nick Timiraos@NickTimiraos·
Jay Powell faced a pandemic that nearly broke markets, the worst inflation in 40 years, and a sustained presidential assault on Fed independence. Few Fed chairs have faced one of those. He faced all three. A reflection on what he leaves behind: wsj.com/economy/centra…
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Jc He
Jc He@jc_he_afk·
让一百个人爱上你的产品,好过让一百万个人“有点喜欢”你的产品。 创业以后,特别认可一句话叫“优秀是卓越的阻碍”。就是说,一个很“优秀”的人,一个很“优秀”的产品很难有动力去把事情做到最后一公里。真正做出好东西的founder,很少有履历一路坦途的985高学历大厂高管。 他们会因为“优秀”的退路太多走向平庸。 在@paulg 那里,这也是老生常谈的所谓“Do things that don't scale”. 做东西不能一开始就求快。 所以,我们思前想后,还是给bridge上了邀请码。因为我们真的想与第一波用户产生深度的联系,和早期的用户学习一下,有哪些事情是“只有bridge能做好”的。 Vibe working tool. 需要在早期有个好点的氛围。 本条推前一百个留言的人,我会送自带管饱token的 bridge 激活码
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ドッグ
ドッグ@Linda_pp·
Bun の Rust 移植もう main にマージされててスピード感がすごい. > 2,188 files changed +1,009,257 -4,024 github.com/oven-sh/bun/co…
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Gabe Anderson Trades 🔮
Gabe Anderson Trades 🔮@GAndersonTrades·
Fuck $MSFT and everything they have ever invented and all of their products.
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Herrington Darkholme
Continual learning doesn’t need to tweak neural weights — it can evolve programmatic heuristic rules. Heuristic Learning turns experience into code updates, letting agents grow, refactor, and retain skills like real software systems. trinkle23897.github.io/learning-beyon…
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Sam Altman
Sam Altman@sama·
codex is the best AI coding product and we want to make it easy to try. for the next 30 days, we are giving companies that want to try switching over two months of free codex usage.
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Theo - t3.gg
Theo - t3.gg@theo·
I can't help but feel personally burned by the Claude Code changes announced today. We put so much work into wrapping the (atrocious) Claude Agent SDK in T3 Code. It was the ONLY path they supported, so we made it work. It was hell. Now our users are getting their rate limits cut by 40x, despite us doing everything right. I listened to the Claude Code team. I had my issues with their direction, but I trusted them and took them at their word. I will never make that mistake again. Until we see significant change, it is safe to assume any statement from an Anthropic employee is a lie on a timer. The rug will be pulled, no matter how many promises are made beforehand.
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Heisenberg
Heisenberg@Mr_Derivatives·
AI is getting out of hand lol.
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鈴 ヾ(・ω・*)ノ
Team Building 真的是 E 人天堂,I 人地狱。铃被榨干了 😭
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拾一.high-fast
拾一.high-fast@__oQuery·
我是怎么做到大牛市里面,我每天都是红的?
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Yusuke Wada
Yusuke Wada@yusukebe·
朝から!春キャベツのペペロンチーノ
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Flrande
Flrande@flrande·
天真
Andrew Ng@AndrewYNg

There will be no AI jobpocalypse. The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it. I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines. Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%. Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable! Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more. Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus. To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market. Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades. Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have). Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future! [Original text in The Batch newsletter.]

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TANSTACK
TANSTACK@tan_stack·
SECURITY ADVISORY — TanStack npm packages A supply-chain compromise affecting 42 @tanstack/* packages (84 versions total) was published to npm earlier today at approximately 19:20 and 19:26 UTC. Two malicious versions per package. Status: ACTIVE — packages are deprecated, npm security engaged, publish path being shut down. Severity: HIGH — payload exfiltrates AWS, GCP, Kubernetes, and Vault credentials, GitHub tokens, .npmrc contents, and SSH keys. If you installed any @tanstack/* package between 19:20 and 19:30 UTC today, treat the host as potentially compromised: • Rotate cloud, GitHub, and SSH credentials immediately • Audit cloud audit logs for the last several hours • Pin to a prior known-good version and reinstall from a clean lockfile Detection — the malicious manifest contains: "optionalDependencies": { "@tanstack/setup": "github:tanstack/router#79ac49ee..." } Any version with this entry is compromised. The payload is delivered via a git-resolved optionalDependency whose prepare script runs router_init.js (~2.3 MB, smuggled into each tarball at the package root). Unpublish is blocked by npm policy for most affected packages due to existing third-party dependents. All 84 versions are being deprecated with a SECURITY warning, and npm security has been engaged to pull tarballs at the registry level. Full technical breakdown, complete package and version list, and rolling status updates: github.com/TanStack/route… Credit to the security researcher for responsible disclosure.
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