News Oct 2, 2026 Google unveils Gemini 4 Argon with one million token output limit Google has released Gemini 4 Argon, a frontier AI model featuring an industry-leading one million token output limit that enables deep, multi-step reasoning across complex professional tasks. The model targets software engineering, legal and financial research, and defensive cybersecurity applications. It is currently rolling out to trusted cyber defenders through Google's Fairwind Program, with broader developer and enterprise access planned after safety testing. Giulio Prisco 2 min read
News Sep 23, 2026 SpaceXAI launches Grok 4.7 for coding and longer knowledge work The new model uses a larger base, stays on hard tasks longer, and is sold at the same price as Grok 4.6 through the API and coding tools. Giulio Prisco 2 min read
Community Mar 13, 2025 The Blue Wheel Threatening the Valley: How Deepseek Is Reshaping the AI Landscape What happens when AI trains itself? DeepSeek-R1 defies convention, mastering complex reasoning through self-evolution. Here’s why it could reshape the future of large language models. Sitotaw Ashagre 10 min read
Community May 15, 2025 The Future of AI: How Hunyuan-Large is Changing the Game Hunyuan-Large rewrites the rules for scalable AI—52B parameters, 256K-token context, and a design that rivals GPT-4 without the compute drain. Abenezer Temesgen 5 min read
News Sep 4, 2026 OpenAI says its new AI model can now do more of your work The company reports large gains on tests of computer use, coding, science, and cyber defense, and is opening the model first to a limited group of users. Giulio Prisco 2 min read
Community Feb 18, 2025 The AI Maestro Changing the LLM Game? Meet the new kid on the LLM block: Hunyuan-Large, Tencent's latest AI model with a stunning 389 billion parameters—52 billion actively working—making waves! Helina Tadesse 5 min read
Article May 14, 2024 The Era of 1.58-bit Large Language Models: A Breakthrough in Efficiency Researchers at Microsoft have introduced BitNet b1.58, a novel variant of 1-bit LLMs that achieves state-of-the-art performance while significantly reducing computational cost and environmental impact. Kedist S 3 min read