News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
Meta has released Muse Glimmer, a 30B parameter language model under the Apache 2.0 license, optimized for local use. Developer Simon Willison tested the model on his own machine, generating images and running coding tests, and praised its performance and the permissive license. The model's 18.16 GB size fits comfortably in systems with 32GB+ RAM, making it a practical choice for developers.
NVIDIA has released Magpie Multilingual TTS, an open-weights text-to-speech model supporting 12 languages, including new additions like Arabic, Korean, and Brazilian Portuguese. The 364M-parameter model is designed for low-latency voice agents, offering developers full control over deployment, from private servers to air-gapped environments. Benchmarks show sub-200ms end-to-end latency on B200 GPUs, with architectural improvements like frame stacking and local transformers enhancing speed. The model is available on Hugging Face under the NVIDIA Open Model License, paired with NIM microservices and NeMo for fine-tuning.
Thinking Machines released Inkling Small, a compact open-weights reasoning model that scores nearly as high as its larger sibling on the Intelligence Index (40 vs. 41) and outperforms it on specific reasoning benchmarks like Humanity's Last Exam and GPQA Diamond. The model is highly token-efficient, supports multimodal inputs, and is available under Apache 2.0 with browser-based fine-tuning.
Mira Murati's Thinking Machines Lab has released Inkling, its first open-weights AI model. The 975B parameter Mixture-of-Experts transformer is Apache-2.0 licensed and trained on 45 trillion tokens of text, images, audio, and video. While not a frontier model, it aims to serve as a strong base for fine-tuning via the Tinker platform.
Thinking Machines Lab, the startup founded by former OpenAI CTO Mira Murati, has released Inkling, an open-weights multimodal model with 975 billion parameters. The model leads U.S. open-source models on the Artificial Analysis Intelligence Index but trails top Chinese models. It shows strong agentic performance but has a 63 percent hallucination rate.