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Yes, the green flame is caused by burning copper from depleting fuel in the regenerative cooling circuit and going oxygen-rich (closer to stoichiometric temperature) in the main combustion chamber. Slight underperformance of engines on this flight is the reason. The booster is meant to land with tiny residuals, so the solution is to improve engine performance and performance consistency (underway with Raptor V3.2), as well as adjust flight software to do MECO1 about one second earlier to ensure enough propellant for boostback and landing (tiny change). These early ships and boosters are already outdated by improved designs in production or on the test stand, so this booster loss does not change our timeline to reach high volume, fully reusable Starship flights.
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老挝代表团到访青海:借鉴绿能模式 守护家乡供电 Lao Delegation Visits Qinghai: Adopting Green Energy Solutions for Reliable Local Power #china# #qinghai#
6 ans d’invest partis en fumé ?? Je viens de me faire siphonner tous mes wallet pour une raison qui m’est inconnue ? @TrustWallet ?? Explain ??? Mon IOS est à jour, ma seed sur papier ?? Que faire de plus ? Une solution ? @TagadoBTC @Crypto__Goku any idea ?? 1 de mes wallet
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1/ 🛡️ Compliance can’t pause. SlowMist offers free trials and dedicated technical support to help businesses maintain their on-chain risk screening and compliance workflows, while exploring alternative or complementary #KYT# solutions. 👇 🧵
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A much better solution for NVIDIA’s board, shareholders, customers and employees (and America) would to (a) finish their investigation and (b) make @JensenHuang the chairman if it comes to that.
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🚨🇺🇸 WOW! Jeff Bezos wants the bottom 50% of American earners to pay ZERO taxes... And he has a question for Washington: “Why is a nurse in Queens making $75,000 a year paying $1,000 a month in taxes?” Bezos argues that the bottom half of earners contribute just 3% of tax revenue anyway. His solution? Stop collecting it from them entirely. “We shouldn't be asking this nurse to send money to Washington. They should be sending her an apology.” Writer: Samuel
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A lot of folks ask me "how do you work with agents in multiple repos at once?" I have a very simple solution - the Home Repo I have a single repo (the home) where all of my skills, steering files, wiki etc live. I run my agent in the home repo, and then inside AGENTS.md I have pointers to the other repos: ``` For skills, clone mattpocock/skills to ~/repos/skills. For Sandcastle, clone mattpocock/sandcastle to ~/repos/sandcastle ``` This is extremely simple and incredibly effective. The home repo lets you: 1. Put all your steering files and tooling in one place 2. Have a single spot to run all your agents in 3. Make sweeping changes over multiple repos Talked about this in the course yesterday and folks are loving it (see below). I'm sure you will too. Enjoy!
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I've been doing SEO for 10 years and I've just spent 2 weeks obsessing over the design of our new SaaS blog. I think I've finally cracked it. The perfect blog design for SEO, AI search and actually turning readers into customers. (I'm rolling it out on soon and I'll share the results) Here's how you can do the same: 1. Optimise the title and metadata Use a keyword-focused H1 that matches search intent. Make the topic clear and include accurate publication and update dates. 2. Establish credibility immediately Show who wrote and reviewed the article, their credentials and first-hand experience. Give readers a reason to trust it. 3. Present your solution above the fold If someone lands with a problem your product solves, why make them scroll to discover it? Show your solution immediately with a relevant offer and CTA. 4. Lead with key takeaways Summarise the most important information at the top. Use short, scannable bullet points that help readers find answers quickly and AI systems interpret your content. 5. Keep your CTA visible Add a sticky sidebar as readers scroll. Highlight your product's key benefits and make it easy to get started. 6. Structure content for SEO and AI search Use descriptive H2s and H3s, short paragraphs, bullets and internal links. Answer questions directly so readers and search engines can follow. 7. Use tables and original visuals Include comparison tables, original screenshots, diagrams and real examples. Give readers something useful they won't find in generic AI-generated articles. 8. Add contextual conversion opportunities Don't rely on one CTA. Introduce your product naturally where it's relevant, connecting each offer to the problem you're solving. 9. Back up your claims with evidence Use original research, real data, expert insights and credible sources. Don't just tell people something works, show them the evidence. 10. Finish with a strong conversion CTA Once someone's finished reading, give them a next step. Reinforce your product's benefits, add social proof and make it easy to convert. A few extra things: Add a table of contents for navigation, FAQs for related questions and related articles to keep readers exploring through internal links. And most importantly, measure the results. Not just rankings, traffic and AI citations, but actual signups, leads and revenue. There's no point getting 1,000s of visitors to your blog if none of them become customers. And there's no point having a beautiful, high-converting blog if nobody can find it. The goal is to get discovered AND convert. I've included the full visual cheatsheet below: (Feel free to steal the design for your own site)
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Yup, this is exactly what's about to happen with AI. They're setting the narrative for a cyber-attack. What better way to introduce the new system of digital IDs, stablecoins and Technocracy than having a "cyber-attack" of the backbone of the banking system. AI will be both the arberter of the crisis and the solution to the crisis, through "monitoring" the internet.
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如果你是反对毒品屋的列治文选民,会选谁做市长? 从最反对毒品到最支持毒品的候选人总结(核对链接中原文): Rob Howard → Dickens Cheung → Alexa Loo → Goldentiger King / Mei Kang / Dennet Lee(公开资料不足,无法定位)→ Kash Heed 按目前公开记录,从明确反对/限制监督消费点(SCS)→ 支持将 SCS/减害纳入毒品政策工具来看: 1、Rob Howard - 禁止在列治文設立受監督注射中心 “Ban supervised injection sites in Richmond.” 同时主张加强 RCMP 的 anti-drug D.A.R.E. program。 原文: 2、 Dickens Cheung 张可仁 - 他提出缩短Aster Place至1年半而不是关闭 “Safe streets, neighbourhoods, and communities — with integrated treatment, not entrenched addiction.” 其竞选政策同时反对 Richmond supervised consumption sites,并主张限制公共场所吸毒。 原文: 3、 Alexa Loo 盧仙泳 2024年投票反对 Richmond SCS 动议。她解释: “I really had to take a stand and vote against it.” 但她同时主张寻找: “a range of solutions that are suitable to the context of Richmond” 原文: 4、Kash Heed 他与 Laura Gillanders 推动 Richmond 研究 supervised consumption site,并公开写道: “We cannot arrest our way out of B.C.’s drug problem.” 他把 supervised consumption site 描述为: “part of a continuum of care.” 原文: 2024年市议会 SCS 动议原始记录: 另外3名候选人目前没有找到足够明确的 SCS 支持/反对立场,因此不强行放入上述顺序: 5、 Goldentiger King “I will strengthen Richmond’s response to overdoses and the contaminated drug supply by expanding naloxone access and education…” 并提出改善 “long-term recovery services”。 原文: 6、Mei Kang 康梅 竞选纲领强调: “SAFETY FIRST” “Protecting every resident from harm…” 但目前公开纲领中没有找到明确的 SCS 立场。 原文: 7、 Dennet Lee 目前公开候选人资料中没有找到具体的 SCS、戒毒或毒品执法政策。 候选人资料: 这里比较的是候选人对 SCS、减害、治疗、公共吸毒与执法的公开政策,不是简单地把任何候选人称为“支持毒品”。 #RichmondBC# #列治文市选# #RichmondElection2026#
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