French AI startup Mistral AI announced Shieldstral on August 4, 2026, a 3-billion parameter open-weights multimodal safety classifier that matches models up to seven times its size in performance while allowing operators to define custom moderation policies in natural language at runtime.
AI startup Thinking Machines Lab, led by former OpenAI CTO Mira Murati, has released Inkling, a 975-billion parameter mixture-of-experts model with open weights designed for enterprise customization and on-premises deployment. The company explicitly positions the model as focused on customizability rather than benchmark dominance.
Google has launched Gemma 4 12B, an open-source AI model that can analyze audio and video while running entirely on enterprise laptops with 16GB of RAM, marking a focus on smaller, locally-deployable models rather than larger cloud-based alternatives.
MiniMax released model weights for MiniMax M2.7 on Hugging Face, a self-evolving agent model that scores 56.22% on SWE-Pro and 57.0% on Terminal Bench 2. The company also released MMX-CLI, a command-line interface providing native access to image, video, speech, music, vision, and search capabilities.
ProactiveBench testing of 22 multimodal language models found that almost none ask users for help when visual information is missing, instead choosing to guess. Simple reinforcement learning can improve this behavior.
Microsoft's MAI division released three new foundation models: MAI-Transcribe-1 (speech-to-text in 25 languages, 2.5x faster than Azure Fast), MAI-Voice-1 (audio generation), and an image generation model. The transcription model costs $0.36 per audio hour.
