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Source channel @githubtrending · Post #15123 · Sep 6

#rust#artificial_intelligence#big_data#data_engineering#distributed_computing#machine_learning#multimodal#python#rust Daft is a powerful, easy-to-use data engine that lets you process large-scale data using Python or SQL with high speed and efficiency. It supports complex data types like images and tensors, works well interactively for quick data exploration, and can scale to huge cloud clusters using Ray. Daft integrates smoothly with cloud storage and data catalogs, making it ideal for data engineering, analytics, and machine learning workflows. By using Daft, you can handle big, multimodal datasets faster and more flexibly, improving your ability to analyze and prepare data for AI models without complex setup or slowdowns. https://github.com/Eventual-Inc/Daft

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Libreware

@libreware · Post #1583 · 05/04/2026, 03:28 PM

FaceTime Without the Internet | Data Slayer FaceTiming without Apple... I tested whether consumer apps like FaceTime, Signal, WhatsApp, and Zoom work on an off-grid #HaLow#mesh#network with zero internet. The key discovery: FaceTime and Signal connect peer-to-peer if they can find each other on any local network — Apple's servers aren't in the loop. The climax was a two-car highway test where Emilia and I held a FaceTime call at 70 mph, bridged only by Haven nodes and sub-gigahertz antennas. The conclusion: the "loophole" isn't a hack — it's the original peer-to-peer design we forgot about once we handed the internet to five companies. #MeshNetwork#OffGrid#P2P