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车名：#youtube 车位：缺1 价格 : 年付45，到24-5-11 联系：@lolmax101

车名：#Youtube premium 区域：韩国家庭组 车位：6人车差4人 价格：年付40 联系： @ichigo_caomei 试用期到22年2月24日，试用期过后付款

车名：#Youtube premium 区域：阿根廷家庭组 车位：6人车差4人 价格：年付45 联系： @daoupai

Мы опубликовали максимально полезный ролик на #Youtube❤️ Вам будет необходимо его посмотреть, если: - Вы любите работать в 3D программах - Вы - креативщик - Вам бы хотелось создать уникальную коллекцию одежды самостоятельно И это не все причины послушать шикарную лекцию от Алены Алистер. Переходим 👉🏼 по ссылке , чтобы узнать все самостоятельно!

车名：#Youtube Premium 区域：印度（美国家庭组） 车位：6缺2 价格：年付34 联系： @We1eVen

📰 Feature freeze for Python 3.15 as first beta released JIT compiler much improved, but no reinstatement for leaky incremental garbage collector. 🔗 Source: https://www.theregister.com/devops/2026/05/11/feature-freeze-for-python-315-as-first-beta-released/5237934 #python

📰 New Python Backdoor Uses Tunneling Service to Steal Browser and Cloud Credentials Cybersecurity researchers have disclosed details of a stealthy Python-based backdoor framework called DEEP#DOOR that comes with capabilities to establish persistent access and harvest a wide range of sensitive information from compromised hosts."The intrusion chain begins with execution of a batch script ('install_obf.bat') that disables Windows security controls, dynamically extracts an. 🔗 Source: https://thehackernews.com/2026/04/new-python-backdoor-uses-tunneling.html #python

📰 PyPI package with 1.1M monthly downloads hacked to push infostealer An attacker pushed a malicious version of the popular elementary-data package Python Package Index (PyPI) to steal sensitive developer data and cryptocurrency wallets. 🔗 Source: https://www.bleepingcomputer.com/news/security/pypi-package-with-11m-monthly-downloads-hacked-to-push-infostealer/ #python

#python DFlash is a lightweight block diffusion model that speeds up large language models like Qwen3.5 and Llama through speculative decoding, generating draft tokens in parallel for over 6x faster inference with no quality loss—up to 2.5x better than top methods. It supports easy integration with vLLM, SGLang, Transformers, or MLX via simple installs and commands, with ready models on Hugging Face. You benefit by running quicker AI generation on your hardware, boosting throughput to ~430 tokens/second and GPU use over 90% for efficient tasks like math or coding. https://github.com/z-lab/dflash

#python PersonaPlex is a real-time speech model for natural, low-latency conversations. Control its voice with audio prompts and role via simple text—like a friendly teacher, customer service rep, or casual chat partner—with natural male/female voices. Install easily, launch a web demo server, and test offline. You benefit by creating personalized AI interactions for apps, role-play, or fun talks, with quick setup and low GPU needs via CPU offload. https://github.com/NVIDIA/personaplex

#python AI Scientist-v2 is an autonomous AI system that generates research ideas, runs experiments, analyzes data, and writes full scientific papers using agentic tree search—no human templates needed. It produced the first entirely AI-written paper accepted via peer review at an ICLR workshop. You benefit by quickly exploring ML topics, automating discovery to save time and costs (about $20 per run on Linux with GPU), and scaling your research productivity for faster breakthroughs. Install via conda, set API keys, ideate with a Markdown file, then launch experiments. Run in a safe sandbox due to code risks. https://github.com/SakanaAI/AI-Scientist-v2

#python Dimensional OS (DimOS) is a simple Python-based operating system for robots like quadrupeds, humanoids, drones, and arms from Unitree, Xarm, and more—no ROS needed. Install easily with one command, run simulations or real hardware, and use natural language like "explore the room" for agent control with navigation, perception, spatial memory, and multi-agent systems. You benefit by quickly building and testing advanced robot apps locally, saving time and enabling seamless hardware integration without complex setups. https://github.com/dimensionalOS/dimos