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⚡️LongCat-Video 13.6И - мощная open-source модель для генерации видео. Модель поддерживает: - Текст в видео (Text-to-Video) - Оживлять картинку (Image-to-Video) - Продолжать существующее видео (Video Continuation) Всё в одном фреймворке, без переключения между разными моделями. 🎬Главное преимущество модели - способность генерировать длинные видео (минуты) без потери качества и цветового дрейфа, что до сих пор остаётся слабым местом большинства аналогов. Еще из интересного, модель позволяет создавать видео в разрешении 720p при 30 кадрах/с. 🏆 LongCat-Video конкурирует с лучшими open-source решениями и даже некоторыми коммерческими моделями, особенно в согласованности текста и изображения. Самое приятное - полный open-source под лицензией MIT, можно использовать как в исследованиях, так и в коммерческих проектах. ▪GitHub: https://github.com/meituan-longcat/LongCat-Video ▪Hugging Face:https://huggingface.co/meituan-longcat/LongCat-Video ▪Сайт проекта: https://meituan-longcat.github.io/LongCat-Video/ @ai_machinelearning_big_data #LongCatVideo#TextToVideo#ImageToVideo#VideoContinuation#OpenSource#AI#GenerativeAI#VideoGeneration

AI vs. Patent Law: Tokyo Court Upholds Human Inventor Requirement A recent ruling by a Tokyo court reaffirmed that patents can only be granted to human inventors, not AI systems. This decision was part of a global legal case led by Professor Ryan Abbott, who sought patents for inventions created by an AI system named DABUS, developed by Stephen Thaler. The Tokyo District Court upheld Japan's Patent Office's rejection of the patent application, stating that current laws only recognize human inventors. This case highlights the ongoing debate about the role of AI in innovation and whether AI can be considered an inventor. The court's ruling emphasized the need for legislative review to address the implications of AI-generated inventions as AI continues to play a significant role in technological advancement. While South Africa has granted patents for DABUS' creations, countries like the UK, Europe, and the US are still deliberating on the legal frameworks regarding AI-generated patents. #AI#PatentLaw#TokyoCourt#Innovation#DABUS#IntellectualProperty#LegalTech

🚀 TON's Major Upgrade Enhances Performance and Reduces Transaction Time TON has successfully completed a significant upgrade, enhancing block generation speed by six times and overall performance by approximately ten times. According to NS3.AI, Pavel Durov highlighted that this upgrade has reduced transaction confirmation time from around 10 seconds to sub-second levels. Durov also mentioned that the next phase of TON's seven-step plan is focused on reducing transaction fees by about six times. #TON#upgrade#performance#blockgeneration#transactiontime#PavelDurov#NS3AI#transactionconfirmation#fees

🚀 Bitcoin Call Options Surge with $80,000 Strike Price Bitcoin call options with an $80,000 exercise price for the end-of-June expiry have reached over $1.6 billion in notional open interest, marking the largest concentration among strike prices. According to NS3.AI, this development reflects traders' anticipation of significant price movements, as evidenced by the rise in implied volatility. #Bitcoin#CallOptions#StrikePrice#OpenInterest#Volatility#Cryptocurrency#Trading#BitcoinOptions#BTC

🚀 Bitcoin Tracker Update Sparks Speculation on Strategy's Next Move Michael Saylor, founder of Bitcoin treasury company Strategy, has released new information regarding Bitcoin Tracker. According to Odaily, Saylor shared the message 'Think ₿igger,' prompting speculation about Strategy's potential actions. Historically, Strategy has disclosed Bitcoin acquisitions the day after releasing such updates. #Bitcoin#MichaelSaylor#Strategy#BitcoinTracker#CryptoNews#BitcoinAcquisition#ThinkBigger#Cryptocurrency#BTC

#typescript#ai#ai_agents#coding#deno#embeddings#insforge#nextjs#oauth2#pgvector#postgresql#realtime#vectors#websockets InsForge is an open-source backend platform for AI coding agents, offering easy auth, Postgres database, S3 storage, edge functions, and model gateway via a simple semantic layer. Agents fetch context, configure services, and inspect state to build full-stack apps quickly. Set up locally with Docker or use cloud deploys. It boosts agent accuracy 1.7x, speed 1.6x, and cuts tokens 30% vs. rivals, letting you prototype and ship AI-driven apps faster with less hassle and cost. https://github.com/InsForge/InsForge

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💐 Цветы жене или маме? Или кому-то ещё? #Зеленский#Украина#Zelensky#Ukraine#Киев#Kyiev#Новости#Политика#ИИ#Макрон#News#Politics#AI#Macron

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