The stack

Models

Title, market, and a three-line brief. Open the source for the rest.

GLM-Legal: Advancing Agentic Legal Intelligence

GLM-Legal is a large language model designed to handle complex legal tasks with precision and efficiency. It excels in parsing specialized contracts, merger filings, and judicial opinions, matching the performance of top closed-source models while operating on a leaner parameter budget. The model has been rigorously tested across real-world legal workflows, achieving a 19.2% all-pass rate on Harvey LAB and parity on LegalBench and PLawBench. GLM-Legal's training methodology focuses on domain-specific mid-training and post-training reinforcement learning, ensuring it can handle high-stakes legal environments. The model will soon be available on AutoClaw, a desktop-native agent platform, to assist with tasks like contract review, case preparation, and compliance research.

Meta Claims New AI Models Rival OpenAI and Anthropic

Meta has introduced two new AI models, Wonder and Wonder Full, which it claims are on par with OpenAI's ChatGPT and Anthropic's Claude. CEO Mark Zuckerberg stated that these models represent a significant advancement for the company. Meta has been investing heavily in AI, including a $14 billion investment in Scale AI and the formation of Superintelligence Labs. The new models will soon be available in Meta's personal agent app, Muse, for paid subscribers. Meta's AI spending could reach $145 billion by 2026 as it competes with leading AI labs.

Meta Introduces Muse Wonder Models for Advanced AI Tasks

Meta has launched Muse Wonder and Muse Wonder Full, its most advanced AI models to date. These models are designed to handle complex personal and professional tasks, such as navigating insurance claims, understanding leases, and building apps. Muse Wonder is available now for developers via the Meta Model API and Muse Code, while Muse Wonder Full is accessible to Muse Code subscribers. The models feature Active Memory and Active Focus, enabling them to retain relevant information across conversations and persist through challenging tasks. Meta emphasizes safety, ensuring the models avoid sharing private information and reject harmful requests.

Huawei to Launch New Kirin 7, 8, and 9 Series Chips Soon

Huawei is reportedly preparing to introduce new Kirin 7, 8, and 9 series smartphone chips later this year, according to a leak from Weibo tipster @DigitalChatStation. The new chipsets are expected to cover all categories from entry-level to flagship devices, marking a significant expansion of Huawei's chip lineup. The Kirin 7 series, in particular, could debut with Huawei's rumored Xingyao (Star Shine) sub-brand series. The company recently launched the Kirin 9050 Pro chip, which features major improvements over its 2025 predecessors. While the exact launch timeline remains unclear, some chips may appear in devices like the Huawei Enjoy 100 series by late 2026.

GPT-6 and Intelligent UI Now Available for Everyone

OpenAI has launched GPT-6, the latest iteration of its AI model, making it accessible to over 1.2 billion weekly ChatGPT users. GPT-6 introduces Intelligent UI, a feature that enhances responses with interactive and visual elements, making complex topics easier to understand and everyday tasks more efficient. The model can now generate tools like calculators or bill splitters directly within conversations. GPT-6 also improves response speed and accuracy, particularly for web searches, and includes enhanced safety measures to prevent misuse. The rollout begins today for ChatGPT Plus, Pro, Business, and Enterprise users, with Free and Go tiers following tomorrow.

Anthropic Launches Claude Haiku 5.5 AI Model with Major Speed and Cost Improvements

Anthropic has released Claude Haiku 5.5, its fastest and most cost-effective small AI model to date. The new model offers 75% lower costs compared to its predecessor while maintaining strong performance for high-volume tasks like summarization and classification. Haiku 5.5 features adjustable effort settings, allowing users to optimize for either cost or intelligence. Early adopters report significant latency reductions and improved accuracy in business applications. The release coincides with price reductions for Sonnet 5.5 cache reads and new API credits for Max and Team subscribers.

EmbeddingGemma 2: An Open, Lightweight Multimodal Embedding Model

Google has launched EmbeddingGemma 2, an advanced multimodal embedding model that unifies text, images, audio, and video into a shared embedding space. Built on the Gemma 4 architecture, it features 740 million parameters and is optimized for on-device inference, making it ideal for privacy-first applications. The model achieves top-tier performance across benchmarks for text, code, vision, and audio tasks, while offering modularity and storage efficiency. EmbeddingGemma 2 enables developers to build robust on-device search and retrieval systems, reducing latency and ensuring data privacy.

Mistral Launches Mistral Large 4, Its Most Advanced AI Model

Mistral has introduced Mistral Large 4 (ML4), its largest and most capable AI model to date, with 1 trillion parameters and 49 billion active parameters. ML4 excels in coding, cybersecurity, finance, law, and multimodal understanding, outperforming other open-weight models globally. The model, trained on 3,800 NVIDIA Grace Blackwell GPUs in Europe, emphasizes AI sovereignty and cybersecurity autonomy. A public preview is available, with weights set to release by the end of October 2026. ML4 also supports multilingual capabilities across 160 languages, including all official EU languages.

Germany’s Sovereign AI Model Kolibri Challenges US and Chinese Rivals

Germany’s AI startup Aleph Alpha has launched Kolibri, a bilingual English-German AI model designed for regulated sectors like public administration and aerospace. With 78.1 billion parameters, Kolibri can operate on-premises, ensuring data security by avoiding third-party services. It outperforms models from Alibaba, Mistral, and Nvidia in reasoning, coding, and information navigation but lags behind Alibaba’s Qwen in long-context comprehension. Kolibri complies with EU AI regulations and GDPR, emphasizing copyright law and reducing hallucinations by admitting uncertainty.