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Tune into SpaceX’s first earnings audio-only webcast since going public
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One game and so much to look forward to 🍿 Tune in at 10pm/ET on League Pass as the @TempoBasketball and @valkyries square off for the finale of their two-game set! Will the Valkyries capture the win again or will the Tempo make it even? #WNBASeason30#
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Today, we’re launching Alpamayo 2 Super, our frontier open reasoning model for autonomous vehicles. Beyond seeing, Alpamayo understands and reasons through the complex world - thinks before it acts. It’s a powerful backbone for robotaxis, trucks, shuttles, delivery vans, tractors and the long tail of mobile robots—billions of autonomous machines someday. We’re releasing it for commercial use under OpenMDW-1.1 so teams can inspect it, fine-tune it and deploy it—open models advance safety and security. The next wave of AI is robotics—and it starts with autonomous vehicles. Great work, Alpamayo team!
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Yes, the rumors are true: The more powerful Notebook experience is now 100% rolled out to ALL Pro users. You might be asking... How exactly do I use it? Here are a few queries to try (ofc dependent on your sources). Hot Tip: bookmark this post! Free users too 😉 For Learning: "Create 5 quizzes of ascending difficulty focusing on a different topic from my sources" "Turn my raw lecture notes into a formatted PDF study guide complete with a 5-question practice quiz." "Add all of the URLs from this class syllabus as sources" For Business: "Calculate revenue growth across each product line and plot the trends" "Read our marketing brief, search the web for competitors, and recommend how we should tune our messaging" For Personal: "I uploaded a bunch of receipts from our kitchen renovation, make a spreadsheet to track all the work and costs" "Help me analyze this property purchase. Look up recent market performance in the neighborhood, predict trends, and make a spreadsheet to model all the data you find"
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Josh Allen is getting ready for beast mode. He's practicing some moves in the rain at Bills training camp at St. John Fisher University. Tune in to News10NBC this evening for the latest on the camp.
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I’M IN TEARS I’M SCREAMING The Pennsylvania Department of State just conducted one of its biggest purges ever. Democrats lost TENS of thousands of voters. It’s happening — it’s actually happening. Our work to clean the voter rolls is actually working. Sunlight is the best disinfectant. This is a massive, earth-shattering earthquake of epic proportions. Wait until you see how close we are to flipping Pennsylvania 🟦🔜🟥! My heart sings a tune loudly for all to hear.
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RAG system that skips HTML parsing entirely! PixelRAG is an open-source visual RAG framework that renders documents as screenshots instead of parsing them into text. Most RAG pipelines start by converting HTML to text. Tables flatten into unstructured rows. Charts disappear. Layout context is gone before the LLM ever sees it. The paper measured this directly: HTML-to-text conversion accounts for 36.6% of retrieval failures on SimpleQA. PixelRAG skips that step entirely. It renders pages as screenshot tiles using Playwright, embeds those tiles with a fine-tuned Qwen3-VL-Embedding model, builds a FAISS index, and passes retrieved images directly to a VLM reader. No text abstraction in between. Benchmarked across six datasets against the strongest text-based baselines: - SimpleQA: 78.8% vs 71.6% (+7.1 points) - NQ-Tables: 48.8% vs 42.5% (+6.3 points) - EVQA: +15.5 points - LiveVQA: +11.3 points One honest caveat from the authors: this requires Qwen3-VL-4B class models or larger to see the benefit. Smaller models trail text retrieval. The authors also recommend using PixelRAG as an enhancement layer alongside existing text systems rather than a full replacement. Ships with a pre-built Wikipedia index covering 8.28M articles across 28.1M screenshot tiles. A Claude Code plugin lets Claude take screenshots of any URL and reason over the visual content directly. Key capabilities: • Renders web pages, PDFs, and images as screenshot tiles via Playwright • Fine-tuned Qwen3-VL-Embedding model for visual retrieval • FAISS index for fast vector search • Pre-built Wikipedia index: 8.28M articles, 28.1M tiles • 3x token cost reduction via image compression • Claude Code plugin for direct URL screenshot and visual reasoning • LoRA fine-tuning support via pixelrag-train 100% open source. I've shared the link in the replies!
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📢 @AIW3_official is now on the Boost leaderboard. Trade now to earn a 50% bonus on Boost trading volume. Stayed tuned for the $AIW3 X Launch.
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Lamar ➡️ Zay. Tune into the live stream NOW:
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Malaysia Blockchain Week – Day 2! 🚀 Day 2 is in full swing and the crowd is bringing the energy! 🔥 The stage has been incredible, and there’s still plenty more to come. Stay tuned for more highlights from the event! 📸✨
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