not much happened today

**China's Xiaohongshu (Rednote) released dots.llm1**, a **142B parameter open-source Mixture-of-Experts (MoE) language model** with **14B active parameters** and a **32K context window**, pretrained on **11.2 trillion high-quality, non-synthetic tokens**. The model supports efficient inference frameworks like Docker, HuggingFace, and vLLM, and provides intermediate checkpoints every 1 trillion tokens, enabling flexible fine-tuning. Benchmarking claims it slightly surpasses **Qwen3 235B** on MMLU, though some concerns exist about benchmark selection and synthetic data verification. The release is notable for its truly open-source licensing and no synthetic data usage, sparking community optimism for support in frameworks such as llama.cpp and mlx.