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SpaceX is hiring exceptional engineering & skilled trades talent to build & operate the most powerful AI supercomputer clusters on & off Earth. If interested, please email 3 bullet points demonstrating evidence of exceptional ability & your resume to datacenters@spacex.com.

NGC 3137 takes centre stage in this Hubble view, a nearby spiral galaxy glittering with blue star clusters and glowing red clouds of gas. Located 53 million light-years away in Antlia (Credit: ESA/Hubble & NASA, D. Thilker and the PHANGS-HST Team)

There is more than meets the eye in this photo… The ring around the central galaxy cluster is evidence of dark matter, the invisible glue holding the universe together. Dark matter doesn’t emit, reflect, or absorb light, but it has gravity like ordinary matter. 🧵

We’ve raised $300M in Series C funding at a $10.3B valuation from Sequoia, Andreessen Horowitz, Jane Street, Argo, and SK Hynix. Our mission is to run the world's inference. This round accelerates production of our inference clusters. We've opened an 80,000-sqft, 10-MW facility 15 minutes from our office to expedite production and prototyping.

Once your agent is in production, people will use it in ways you never expected. That's why @OliverKorzen from @ThisWeeknAI calls out Patterns as one of the Agent Observability features he's been using the most. It automatically clusters conversations into themes, making it easier to discover new use cases, uncover gaps, and decide what your agent should learn next. Watch the full walkthrough on YouTube 👉 @datadoghq

🚨Introducing Cluster with Auctions (CwA), my first work at Meta Superintelligence Labs ! What if the vectors in your database had to bid at auction for a seat in their cluster? 🔨 That's CwA — and it makes partition-based vector search up to 4× faster out-of-distribution, using as many parameters as K-Means centroids. With @hjegou, Matthijs Douze, @pierrefdz, Gergely Szilvasy

We're rolling out a small tweak to boost visibility of your posts to your mutuals (people who you follow back). We noticed this data was missing from the algo and it made your friends appear less in your replies. This resulted in the reply section feeling more like a battleground with people you don't recognize. This should also help clusters form around interests more easily, which many people have asked for.

分享一个富途牛牛 Python 指标： 自动标记支撑、阻力。 1. 局部高低点 (Swing High / Swing Low) 的检测 2. 价格聚类算法 (Clustering) 识别高强度支撑阻力带并计算触碰次数 3. 计算支撑阻力区间的 K 线跨度 (K-line Span) 并在图表上动态标记 代码可以复制： 添加方式见录屏。 工具只是辅助参考，祝顺利～ #趋势交易# #富途指标#

市场上有人传“以太坊基金会解散了”，这是误传。 以太坊基金会（Ethereum Foundation）的 Protocol Support Team（协议支持团队） 确实已经解散，但这只是基金会本次重组的一部分，并非整个基金会解体。 本次重组主要内容包括： • 裁员约 20%（共54个职位）； • 预算削减约 40%； • 从之前的“全能型核心开发者”角色，转向更精简的“协议守护者”（Stewardship, Not Control）定位； • 重组后更聚焦于核心协议开发，并调整为几个专注集群（clusters）。 此次调整是以太坊基金会为实现长期可持续支持以太坊发展而进行的战略瘦身，核心开发工作仍在继续（包括 Glamsterdam 等升级）。一些被裁或离职的人员/团队也转向了独立实验室或社区贡献。 总体来说，基金会仍在运作，只是变得更精炼高效。市场上的“解散”传言属于夸大或误读。

Grok 4.5 goes public tomorrow. Here’s everything that’s known. The model runs on V9, xAI’s new 1.5 trillion parameter foundation, roughly three times the size of the v8-small architecture behind Grok 4.3. It’s the largest model the company has shipped, trained on Blackwell GPUs at the Colossus cluster in Memphis. Coding is the clear focus. Cursor’s developer data was added in supplemental training, and reinforcement learning has been improving the model daily alongside the Grok Build harness. The next foundation model already in training will have Cursor data included from the start of pre-training. Elon calls it Opus-level, and says it’s faster, more token-efficient, and cheaper. It’s been in private beta at SpaceX and Tesla since June 28, with early internal evals reportedly at or above that mark. Public benchmarks land once the model does. This is the first flagship under SpaceXAI since the merger, and the plan is a from-scratch foundation model shipping every month through the end of 2026. Tomorrow we get to use it!