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AntLing has released six official Ling-3.0 base checkpoints spanning two model sizes and three training stages. The MIT-licensed, ungated repositories are intended for continued pretraining, fine-tuning, and research rather than direct chat use.
Tencent's Hunyuan Hy4 has reportedly appeared in the model selection list of the Yuanbao app under an expert-level label and with tool-use capabilities. It is positioned above Hy3 and alongside DeepSeek, following Tencent's recent statement that a larger-parameter Hy4 would launch soon with improved performance and multimodal abilities.
An independent builder pretrained a 1.02-billion-parameter Kimi-K3 replica on 5 billion decontaminated tokens for roughly $250. The model achieved 33.4% on HellaSwag, exceeding the reported 28% score of GPT-2 124M despite receiving no instruction tuning.
ByteDance's Coze launched a desktop client with cloud-drive integration and deep screenshot capabilities. The client improves local file access and automatically recognizes Codex CLI and Claude Code as agents for multi-agent workflows.
NVIDIA FLARE enables organizations to coordinate training for vision-language models while keeping sensitive image and text data at local institutions. The approach supports multimodal use cases such as visual question answering, captioning, and image-text reasoning without centralizing raw records.
Unsloth released new Qwen3.8-27B GGUF quantizations claiming 10% higher accuracy at the same file size. The release also includes 1-bit quantizations that retain 77% accuracy and can run with 8GB of RAM.
Pennsylvania Governor Josh Shapiro signed an executive order making the state more restrictive for AI data centre development. The order removes data centres from the permit fast-track programme, delays environmental review until local approval, and prohibits state agencies from signing non-disclosure agreements on projects.
London’s centuries-old black-cab industry is confronting potential competition from autonomous taxis, with Waymo, Wayve, and Baidu testing vehicles in the city. Drivers and unions argue that local knowledge, judgment, and human interaction remain difficult for autonomous systems to replicate.
Z.ai argues that model scaling should account for data, compute allocation, inference cost, sparsity, effective depth, and post-training—not parameters alone. The post presents GLM-5.3 as a controlled experiment using the same total and activated parameters as GLM-5.2 while scaling long-horizon environments and reinforcement learning for one month.
Loudoun County has changed its zoning rules so new data centers can no longer be approved as routine office-park projects. Developers must now obtain approval from residents and local government, ending more than 25 years of relatively easy approvals.