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Datalab 发布 Surya OCR 2.5，一个 689M 参数的 OCR 模型，在 OmniParseBench 上取得 85.9 分（1B 以下开源模型最高），支持 91 种语言、布局分析与表格转 HTML，吞吐量在单张 H100 上达每秒 4.5 页。
Hugging Face's Open TTS Leaderboard compares not only TTS models but also inference implementations, benchmarking streaming performance (TTFA), inference speed, speech quality (WER/CER, speaker similarity), and GPU/CPU results—useful for anyone building local voice agents.
AuroraAI-Research 发布了 AuroraIMG2-50M-Preview，一个基于 5040 万参数流匹配扩散 Transformer 的 256×256 文生图模型，搭配 1260 万参数文本编码器，全部从零训练仅需单卡 RTX PRO 6000 上 10 小时完成。
DiffuSpace 发布 Clover-35B-A3B-Preview，首个开源块扩散语言模型，采用 35B 参数 MoE 骨干（约 3B 激活参数）和 128K 上下文窗口，宣称在发布时达到开源扩散语言模型的最先进性能。
作者发布了其4B 3D编码模型的新版本，一次性生成结果和视觉质量显著提升，并在Hugging Face上更新了Q8和Q4量化版本，同时承诺公开数据集和完整FP16权重。
A large China-based collaboration released Pinal, an AI tool that turns natural language prompts into functional protein designs, while Hugging Face launched a similar tool for DNA-level genome design—bringing 'vibe coding' style accessibility to protein and genome engineering.
OliviaRossi 发布了 Minimax-h3_Singularity-x-10Eros-Max_PRISM，使用自定义 PRISM 算法（非 mergekit）合并两个 Minimax-H3 Ref2VA 微调模型，包含谱去噪、极坐标测地线插值和符号冲突调解等步骤。
Nanbeige4.3-33B 是南ベージ系列的旗舰教师模型，宣称在约30B参数级别的开源模型中达到最先进水平，专注于复杂编码与专业协作智能体任务，并为后续小模型蒸馏（如 Nanbeige4.3-3B）奠定基础。
Nvidia CEO Jensen Huang's GTC Berlin keynote demo of Pollen Robotics' adorable Microduck robots went viral, pushing preorders past 20,000 units and positioning them as a potential hot Christmas toy. The open-source robots, trained with Nvidia's simulation stack, come from Pollen Robotics, which was acquired by Hugging Face before Nvidia bought Hugging Face in September.
Hugging Face released Carbon-X, an open model that lets users chat with DNA in natural language, trained on 300 billion tokens of genomic sequences and English text to help researchers interpret genetic mutations and design therapies.
Video analysis of NVIDIA's $12.9 billion acquisition of Hugging Face — its largest acquisition ever, consolidating ecosystem control by acquiring the AI's "GitHub" in response to major customers developing their own chips to bypass NVIDIA.
Hugging Face CEO Clem Delangue criticizes Netflix's documentary "AI Gone Rogue" about the OpenAI agent hack on his company, saying it exaggerates and anthropomorphizes AI agents for dramatic effect rather than accurately describing the technical incident.
Hugging Face 宣布 Transformers、Diffusers 和 Kernels 原生支持 TorchTPU，使 TPU 成为 PyTorch 中的一个普通设备选项，无需再依赖 torch_xla 或 Optimum TPU。
Hugging Face policy chief Irene Solaiman said at TechCrunch Disrupt that embedded AI evaluators and benchmarking remain an immature, hard-to-standardize science, stressing reproducibility, open weights, and the growing need to evaluate agents and harnesses, not just models.
Hugging Face 主播了一场名为 Local AI 202 的直播，介绍如何通过推测解码（Speculative Decoding）大幅提升本地 AI 推理速度，现提供回放。
A user asks whether JetBrains' newly spotted Mellum2 model on Hugging Face is worth trying, seeking community feedback on the release.
An investigation reveals that AutoTrust's Hugging Face models reached the trending page through thousands of farmed likes from bot accounts with fake names, non-existent social profiles, AI-generated bios, and suspiciously clustered join dates, suggesting coordinated engagement manipulation on HF.
OpenMOSS 发布了 MOSS-Image 家族的新模型 MOSS-Image-SFT，这是一个基于 MOSS-Image-Base 进行监督微调的文本生成图像模型，支持自然语言提示、标签序列和 JSON 布局控制文本位置与物体排列，并提供 diffusers 和 ComfyUI 集成。
Hojo-ASR-Multi-V1 开源多语言语音识别模型以 3.54 的平均 WER 横跨 5 种语言取得出色成绩，其采用声学编码器搭配 Qwen3-4B 大语言模型解码器的架构，已在 Hugging Face 上以 Apache 2.0 许可发布。
A developer turned a CHIP-8 game console into a decoder-only transformer that acts as the game engine itself, executing instructions and rendering frames via next-token prediction—running 118+ games like Pong and Tetris with weights compiled from a circuit rather than trained.