Meta has released the open-weight model Muse Spark Open and worked with Apple's hardware team to enable it to run efficiently on the M5 Mac Studio Ultra. The model has 42 billion active parameters, a 1 million token context window, and multimodal capabilities. Meta says it performs well on agentic and coding tasks, and the weights have been made public on HuggingFace under Meta's Muse Model license. Running the model on an Apple computer requires two Mac Studios equipped with the M5 Ultra, each starting at $5,499.
Meta has released the open-weight model Muse Spark Open and worked with Apple's hardware team to enable it to run efficiently on the M5 Mac Studio Ultra. The model has 42 billion active parameters, a 1 million token context window, and multimodal capabilities. Meta says it performs well on agentic and coding tasks, and the weights have been made public on HuggingFace under Meta's Muse Model license. Running the model on an Apple computer requires two Mac Studios equipped with the M5 Ultra, each
NVIDIA Nemotron 3.5 Super VL is now available on OpenRouter. It is an open-source 120B-A12B multimodal model designed for long-running agents that need to observe, reason, and act across text, images, documents, GUIs, and video, with support for a 1M context. The model uses a Hybrid Mamba-Transformer MoE architecture and supports multi-token prediction to speed up output, targeting scenarios such as document intelligence, web research, customer service, and video understanding.
TypeSafe AI announced that Jev 1.14 was released at 1:14 PM PT on 10.14, and `jev-preview` now points to `jev-1.14.0`. This version brings image multimodality, a new bounding box base type, and 4x context length; the official statement says overall improvements are modest, with multilingual support improving most noticeably, but images and other features remain preview functionality and are not recommended for direct production use. The team also disclosed its in-house evaluation approach and invited developers to report where Jev still feels clumsy.
TypeSafe AI announced that Jev 1.14 was released at 1:14 PM PT on 10.14, and jev-preview now points to jev-1.14.0 . This version brings image multimodality, a new bounding box base type, and 4x context length; the official statement says overall improvements are modest, with multilingual support improving most noticeably, but images and other features remain preview functionality and are not recommended for direct production use. The team also disclosed its in-house evaluation approach and invit
