#Open Source

DeepSeek has launched DeepSeek Harness — an open-source framework for AI agents with a modular architecture where everything is replaceable. The tool has already received recognition from Pi creator Armin Ronacher.

🚀 DeepSeek has unveiled the Harness platform—a revolutionary system for creating autonomous AI agents. Everything in it is a plugin: from models to UI. Dynamic composability, 4 operating modes, open-source. Already 122K+ stars on GitHub in 3 days! #AI #DeepSeek #Harness #TechNews

🇨🇳 Alibaba made a breakthrough in the AI world: the Qwen model family reached 3 billion downloads, overtaking Google and Meta. 📉 In six months, Chinese models became market leaders in open source, despite sanctions. The Alibaba ecosystem counts 460 neural networks and 300 thousand derivative algorithms. 🚀 #Alibaba #AI #Qwen #Technology #ArtificialIntelligence

🚀 DeepSeek has released the open-source Harness v0.1 framework! A direct challenge to Anthropic and OpenAI. The "Everything is a Plugin" architecture and a team from Jane Street are changing the rules of the game in creating autonomous AI agents. The code is already available on GitHub under the MIT license. #DeepSeek #AI #OpenSource #Harness

🚀 NVIDIA has unveiled Nemotron 3.5 Lightning — an open AI model that makes agents cheaper and faster. 🔹 30 billion parameters, but activates only 3 billion (MoE architecture). 🔹 Runs on a single GPU, including GeForce RTX 5090. 🔹 Ideal for routine tasks and local deployment. #NVIDIA #AI #Nemotron #TechNews

🚀 Linus Torvalds admits: AI has changed the rules of the game in Linux. Kernel updates have become "giant" due to automation. The creator of Linux urged critics to accept reality or leave. Linux 7.2 release is expected next week.

🚀 Meta has unveiled Muse Glimmer — a powerful 30B parameter model capable of running locally on a standard laptop. 🔹 Autonomous agents without internet. 🔹 K-Quant and DFlash optimization for 24-32 GB memory. 🔹 Open weights and support for Ollama/LM Studio. Is this the end of the era of mandatory cloud computing for complex AI? #Meta #AI #MuseGlimmer

🚀 Meta has released Muse Glimmer — a new open-weight AI model that runs locally on your devices! 🔒 Privacy, autonomy, and 30 billion parameters — all in one solution. Mark Zuckerberg is confident: this is the beginning of the era of personal AI. But there are nuances: the powerful Muse Spark model remains closed. What does this mean for us? Read the full analysis on XAB.info! #Meta #AI #Glimmer #Privacy #TechNews

🚀 Mark Zuckerberg published a manifesto on the future of AI: the main threat is monopoly by a single country. 📱 Meta introduced Muse Glimmer — an open-source AI that works on your phone without the internet. 💰 A $1 billion fund announced to support residents near data centers. 🔥 Zuckerberg: we exaggerate the risks and underestimate the opportunities.

🚀 Nvidia opens the source code of the cuFile API! At the Future of Memory and Storage 2026 conference, the company announced the creation of a vendor-neutral standard to accelerate data exchange between SSDs and GPUs. This will not turn a disk into video memory, but it will eliminate unnecessary data copies through the processor. 🧠 The SCADA architecture and the new xio-sig stack will change the approach to data storage in AI. #Nvidia #AI #TechNews #GPUDirectStorage

Huawei has officially launched the open-source model openPangu 2.0 Pro with 505 billion parameters and a 512k token context window. Access to the model is open to everyone, and the company urges developers to use Ascend chips for training and inference. 🤖🇨🇳 #Huawei #AI

Western markets crashed due to China's technological leap 📉. The AI development gap has narrowed to 4 months, and powerful open-source neural networks are now available to everyone—from businesses to hackers. Experts warn: this creates unprecedented risks for global cybersecurity 🇨🇳🤖.

Linus Torvalds has firmly responded to AI critics in the Linux project: he offered them either to leave or to fork the kernel. The OS creator recognized AI as a useful tool, noting that code quality has improved thanks to neural networks, while skeptics simply haven't tried using them. 🤖💻

Satya Nadella warns: your data trains AI that could become your competitor. Big business is massively moving away from closed models to open source to maintain control over know-how. 📉🤖