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SVPino 介绍了一款名为 Mischief 1 的图像到视频生成模型，据称比其开源基础模型快 5 倍、推理成本低 80%，非常适合低成本快速迭代创意。
SenseNova releases SenseNova-Loop-9B-Preview, a looped multimodal model built on a shared looped block and mHC residual stream architecture, targeting long-context and agentic workflows with capabilities spanning motion design, PPT generation, and data analysis.
Gemma-4-31B-Humanlike-Chat 是基于 Google Gemma 4 31B 的微调模型，通过 SFT 与 on-policy 蒸馏训练，实现了无需提示的自然人类化文本风格，同时在 When2Call、BFCL 等工具调用基准上超越原版，且知识能力与基座持平。
inclusionAI 发布了 ZwZ2 系列（27B/9B/4B），基于 Qwen3.6 微调的视觉语言模型，通过 EvidenceConnect 构建的多区域验证数据与 GRPO 训练，在六大领域 25 个基准上均超越基座模型，总体准确率从 55.52 提升至 60.51（+4.99）。
Artificial Analysis 更新了 HLE Diamond 基准评测，显示开源权重模型在该高难度基准上落后闭源模型超过 30 分。
Pika introduces H3 Flex, a post-trained MiniMax H3 text-to-video model that generates in six steps (vs. 50), supports up to 12 reference files, exports five audio stems, finishes at up to 4K, and is released with open weights — ranking #1 among open-weights models on DesignArena's leaderboard.
Fish Audio 为 Drama 3 语音模型发布了升级后的权重，使其在 Artificial Analysis 的 Provider Voice 和 Controlled Voice 两个 Speech Arena 榜单上均位列开源权重模型第一，并在发音鲁棒性基准上排名第一。
A Reddit post criticizes Cohere's blog post claiming Qwen 3.8 Flash Next exhibits unsafe behaviors as unscientific and fear-mongering, arguing it was timed to coincide with Cohere's multi-billion dollar Series E fundraising announcement, including funding from the Canadian government.
Pika 发布开源权重的视频生成模型 Pika H3 Flex，支持六步采样生成带同步音频的视频，最多可输入 12 个参考，本地推理支持 480p/768p，通过 Pika API 可扩展至 4K 与音频分轨。
Mistral has released the weights for its trillion-parameter open-source model Mistral Large 4 ('Le Chonk'), enabling businesses and governments to self-deploy the system, with a strong focus on sovereign cyber defense capabilities and claims of state-of-the-art open-model performance in agentic coding and cyber work.
Mistral Large 4 (codenamed Le Chonk) is released on Hugging Face Hub — a multimodal, multilingual Mixture-of-Experts model with 1T total/49B active parameters and a 1M-token context window, featuring day-0 support in transformers, vLLM, and llama.cpp along with quantized GGUF versions.
Mistral announces 'Le Chonk' (Mistral Large 4), a massive 1T-parameter model, highlighting llama.cpp support and community-friendly features on Hugging Face.
Mistral 发布 Mistral Large 4（Le Chonk）：一个 1 万亿参数、49B 激活参数的原生多模态 Mixture-of-Experts 模型，具备 1M 上下文窗口、可配置推理力度、160+ 语言支持，并以 Mistral Ecosystem Open-Weight License 开源权重发布。
A 2B vision-language model, LFM3-VL-2B, boxed 62,873 pools across 16,692 aerial tiles of the San Fernando Valley in 5.5 hours on a single RTX 3060 with zero fine-tuning, scoring 77.3 on visual grounding versus 68.3 for LFM2.5-VL-3B.
HemmingwayAI 释放了 Hemmingway-1.5，一个基于 Qwen 的 27B 参数微调模型，主打「不可检测的 AI」写作，宣称在各类 AI 检测器上 90% 的输出被判定为人类书写。
Artificial Analysis intelligence index v5 is drawing criticism for introducing private tests on private datasets that appear to favor closed models like GPT and Google's while significantly downranking open-weight Chinese models such as Kimi 3.1 Pro and DeepSeek 4.1 Flash, coinciding with Google's Carbon 4 topping the index.
A zero-retraining REAP-pruned derivative of NVIDIA's Nemotron-3.5-Transcribe-30B-A4B speech LLM shrinks it from 67.5GB to 10GB (4-bit) while keeping WER at 5.16% vs the teacher's 4.12%, and it runs 27% faster in single-stream throughput on an H200 with vLLM.
一篇技术博客深入解析 Meta 于 10 月 15 日发布的开源模型 Muse Spark Open（816B 总参数、42B 激活参数的 MoE 架构），并介绍 Daniel Gross 发起的 10 万美元 Open Kernel Challenge，邀请开发者在 H200 上优化其推理内核与 SGLang 服务性能。
Glance integrates reranking and generation into a single 9B backbone using lightweight decision adapters and pointer heads that score passages from a shared prefill, reducing memory overhead while beating bge-reranker-v2-m3 and cross-encoders on MS MARCO benchmarks and HotpotQA answer F1.
Hugging Face 的博客介绍 Mistral Large 4（代号 Le Chonk），这是 Mistral 推出的多模态、多语言、混合专家（MoE）模型，具备约 1T 总参数（49B 激活参数）和 1M token 上下文窗口，在网络安全、编码代理和多模态任务上表现出色。