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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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Crypto M - Crypto News

@CryptoM · Post #64697 · 04/09/2026, 02:44 PM

🚀 Telegram's TON Blockchain Achieves Significant Speed Upgrade Telegram founder Pavel Durov announced a major upgrade to the TON blockchain, significantly enhancing its processing speed. According to Foresight News, the upgrade has increased block generation rates by six times and achieved sub-second transaction confirmations. Durov stated that this is the first of seven steps in his 'Make TON Great Again' (MTONGA) plan. The next step aims to reduce the already relatively low transaction fees by approximately six times to further improve network performance and cost competitiveness. #Telegram#TONBlockchain#PavelDurov#SpeedUpgrade#Blockchain#TransactionSpeed#MTONGA#ForesightNews#SubSecondConfirmations#TransactionFees#NetworkPerformance