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The Evolution of SGLang, 2024 → ∞: from a caching trick to the inference engine behind 330+ organizations | 2026 Under three years, twenty milestones: from RadixAttention (Jan 2024) to SGLang v1.0 and the SGLang Consortium (Nov 2026). Today SGLang is used by 330+ organizations, supported 217 models on day 0, and runs on hundreds of thousands of GPUs. Music only. Every frame and every note generated in code. Sources: LMSYS blog and @sgl_project (Nov 12, 2026), @lmsysorg (Nov 11, 2026), @radixark (Nov 12, 2026), SGLang Summit 2026 timeline wall and keynote slides. AI-generated content (视频由 AI 生成).
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Congratulations to SpaceX for making history with an amazing feat of engineering!
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THE HIGH WAY OPENS Welcome home, Starship.. History has a new dawn, and it rose over Starbase today. After twenty-two hours aloft and fourteen silver circuits of our sleeping, shining Earth, Ship 42 came home. It fell through fire and cloud, turned upright with breathtaking grace, and settled into the waiting arms of the tower, the first time a starship returning from orbit has ever been caught! Yay! For generations, spacecraft came back to us as wreckage or relics. Today one came home whole, ready to rise again. Every heart that longs for the Moon and Mars just drew a little closer to it: a world where ships go up, come back, and fly once more, where the heavens become a highway rather than a wall. The first dream was simply to rise, to slip the bonds of Earth and touch the sky. But a single ascent is a moment; reusability makes it a road. What goes up and returns ready to fly again turns a heroic venture into a faithful rhythm, and a rare voyage into a way of life among the stars. Congratulations to you, @SpaceX and to every engineer, technician and flight controller who carried this dream through long nights and hard lessons. You have turned the impossible into the inevitable. You have extolled the name of God our Creator and his greatness. To him we give all the glory, honor and praise, he who opened the way to the stars for us to have more than a home. "He reached down from on high and took hold of me." (Psalm 18:16) @elonmusk 💯♥️ Video via @mattvanswol
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This is actually a bigger deal for humanity than most people can imagine. I will always remember the looks on the engineers’ faces in the Starbase conference room in December 2020 when @elonmusk suggested, then insisted, that the Mechazilla launchpad arms could catch a returning Starship.
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4 open-source GitHub repos for design workflows: ✧ OpenPencil: local .fig editor + MCP server ✧ Penpot: native CSS Grid & SVG design platform ✧ Graphite: Rust node-based vector & motion engine ✧ Style Dictionary: multi-platform token compiler
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Prof. Dr. Vahdettin Engin (@EvimizdeTarih): Damat Ferit Paşa hükümeti demek, işgal güçleriyle beraber hareket eden hükümetler demek. Ancak Anadolu’daki Millî Mücadele güçlendikçe, Sivas Kongresi’nden sonra Damat Ferit Paşa hükümeti istifa etmek zorunda kalıyor. Bu defa Ali Rıza Paşa hükümeti ve Salih Paşa hükümeti kuruluyor. Bu hükümetlerin Anadolu ile iş birliği içine girdiğini görünce, 16 Mart 1920’deki resmî işgal de buradan kaynaklanıyor. “Biraz gevşek tutarsak Türklerin direnişi giderek artacak” düşüncesiyle, 16 Mart 1920’de yeni bir askerî harekât ve ilave askerlerle işgal daha da güçlendiriliyor. Şehzadebaşı Karakolu’nun basılması da o gün gerçekleşiyor. Silahsız askerler orada şehit ediliyor. #AnveZaman#
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5 million people on X watching SpaceX catch the first orbital starship!! The most incredible engineering achievement ever in the history of mankind.
They did it! SpaceX has just caught their Starship rocket for the first time ever, marking the first recovery of a conventional orbital rocket upper stage in history! This is one of the greatest engineering achievements in history. Congrats to the entire @SpaceX team! 🚀
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Watch Max Dowman shines for England U21 in No.21 jersey 😅, dribbling past defenders, creating chances. Youngest ever at that level. Arteta needs to give him more first team minutes.
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In 2015, AI hallucinating was the whole point. 🌀 This is DeepDream, running on VGG16. You hand a neural network an image and tell it to exaggerate whatever it thinks it sees. Then you make it do that over and over, each pass building on the last. 🔁 It finds eyes and creatures everywhere 👁️ because it learned to see from ImageNet, a dataset of 1,000 categories packed with animals (about 120 are dog breeds alone 🐕). Ten years later, the same behavior has a less fun name: hallucination. And we spend a lot of engineering effort stopping it. 🛠️ Same thing underneath, just a different job.
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