TAG
#open-weights
Stories connected through a shared idea, actor, technology or theme.
Light Origins launches Light-O1 embodied foundation modelThe model combines language reasoning, visual-spatial understanding and whole-body action generation. The company reports scaling experiments across human data, Unitree G1 data and its LightBot platform, alongside public weights, code and a text-to-action preview model.→Alibaba releases open-weight Qwen Image 2.1Qwen Image 2.1 is available through Hugging Face and ModelScope for visual generation and editing tasks. The model supports transparent-image generation and can use up to ten reference images, under a research and evaluation licence.→Apodex 1.1 pairs multi-agent reasoning with built-in verificationApodex announced version 1.1 as a system for professional, scientific and financial work that combines multi-agent collaboration with built-in verification. The release also includes Apodex 1.1 Mini as open weights and FrontierAgent as open-source software, although the company’s benchmark claims remain vendor-reported.→Apodex 1.1 pairs an open-weight model with verifiable executionApodex 1.1 combines multi-agent collaboration, tool execution, failure recovery and source-linked verification in a persistent workbench that can process code and other artefacts. The release also includes open weights for Apodex 1.1 Mini and the open-source FrontierAgent framework; its capability comparisons are company-published.→Perceptron releases open-weight Isaac 0.5 industrial vision modelPerceptron launched Isaac 0.5 as an open-weight model for vision-guided robots working in settings such as warehouses and factories, combining perception, reasoning and action in one system. The company says it trained the model with about one million hours of general video, ego and UMI recordings, and petabyte-scale multimodal and robotic-trajectory data.→IBM releases Granite 4.2 open reasoning models for enterprise agentsGranite 4.2 is available in 3B, 8B and 30B sizes, with IBM describing native thinking and agentic reinforcement learning for multi-step enterprise tasks. The release also includes lightweight Granite Speech 5.0 Turbo CTC models intended for fast transcription on edge devices.→Marin begins a publicly tracked 535B-parameter open training runThe announced run uses 80% pretraining and 20% midtraining across an 18.75T-token mixture over roughly three months, with estimated compute of 2.7e24 FLOPs. Marin says its data mixture, sampled documents and live training loss will be available through GitHub and Weights & Biases.→