全部 AI 动态
Gemini Notebook@Gemini_NotebookAI 评分5151
MiniMax (official)@MiniMax_AIAI 评分4545⌘ + 🐰 = 🚀 感谢 @CommandCodeAI!M3.1 Flash 限时对所有订阅用户免费。
引用Command Code@CommandCodeAIMiniMax M3.1 Flash (aka Space Bunny) is now live and FREE in Command Code for limited time! · 1M token context window · Frontier level coding performance · Available all plans, all subscribers
TechCrunch:AIAI 评分6363 Microsoft 推出 Guardian Agents 等安全功能,将 AI 智能体比作内部威胁
Microsoft 推出面向企业的 AI 智能体安全功能,核心是可监控企业所用智能体的 Guardian Agents,属于 6 月发布的 Project Perception 的延伸。
MiniMax (official)@MiniMax_AIAI 评分5252引用GMI Cloud@gmi_cloudMiniMax M3.1 Flash, aka Space Bunny, is now available on GMI Built for coding, agentic workflows, and computer use 70% lower agentic task costs, 73.7% on DeepSWE v1.1, 82% on CyberGym Run it now 👇
ClaudeDevs@ClaudeDevsAI 评分4747
MiniMax (official)@MiniMax_AI同事件AI 评分7070引用OpenRouter@OpenRouterstealth 模型揭晓 🐰 Space Bunny 连续 10 天成为 OpenRouter 排名第一的模型,处理了 56.7T tokens!是我们运行过的 stealth 模型中处理量最多的。 Space Bunny 于 10 月 5 日离开 OpenRouter。今天它作为 @MiniMax_AI 的 M3.1 Flash 回归,并在接下来的 72 小时内免费。
同一件事,精选收录的是《MiniMax 发布 M3.1 Flash,推理提速近三倍、用量成本降低 70%》
MiniMax (official)@MiniMax_AIAI 评分6161引用Cline@clineMiniMax M3.1 Flash goes toe-to-toe with Opus and GPT on coding at ~25x lower cost. This was the model behind Space Bunny, the stealth model that’s been topping usage leaderboards recently. Free in Cline now!
Prime IntellectAI 评分4545 prime-rl 0.10.0 发布:训练提速、新 RL 损失 IPO 与统一评测栈
Prime Intellect 发布 prime-rl v0.10.0 与 verifiers v0.4.0,新增 RL 算法 IPO 并设为默认损失。Qwen3-235B-A22B SFT 在 4×8 B300 上比 torchtitan 快 1.15×,MFU 从 40.7% 升至 46.6%。
MiniMax (official)@MiniMax_AIAI 评分5050来自 @ollama 的 Day0 支持 🦙🤝🐰 M3.1 Flash,美国托管,零数据保留,已为你的智能体准备就绪。开始构建吧!
引用ollama@ollamaMiniMax M3.1 Flash is on Ollama! 🔒 Hosted in the US and with zero data retention. Fast coding and agentic workflows, with image understanding and a 1M-token context window. Try it on Ollama Cloud: ollama run minimax-m3.1-flash:cloud Claude Code: ollama launch claude --model minimax-m3.1-flash:cloud Codex: ollama launch codex -–model minimax-m3.1-flash:cloud
TechCrunch:AIAI 评分6565 AWS 发布 TorchNeuron 开发工具,助 PyTorch 应用一行配置迁移至 Trainium 芯片
AWS 周一发布 TorchNeuron 工具,让基于 PyTorch 的 AI 应用只需改一行配置即可在自家 Trainium 芯片上运行,无需重写代码,直接挑战 Nvidia 凭 CUDA 在 PyTorch 生态中的默认地位。
TechCrunch:AIAI 评分5757 Replika 创始人正式向所有用户推出个人 AI 助手 Wabi 2.0
Eugenia Kuyda 于周一正式向所有用户推出 Wabi 2.0,一款以消息应用形式呈现的多用户个人 AI 助手,会连接邮箱后自动创建线程和应用,用户也可请求定制应用。
Hugging Face 官方团队博客AI 评分5757 TorchNeuron 开放公测:Hugging Face 库原生支持 AWS Trainium
Hugging Face 宣布 Transformers、Diffusers、Accelerate、PEFT 和 TRL 通过 TorchNeuron 原生支持 AWS Trainium。
fal@falAI 评分5656引用Black Forest Labs@bfl_aiIntroducing FLUX 3 Max. Fastest in the west. Fast enough to try anything. And everything. Generate a 10-second video in 12 seconds. Tied for #1 in image-to-video. 22× faster than Seedance 2.5 at the same quality. FLUX 3 is a model designed for customization. @fal adapted and optimized it to create FLUX 3 Max.
Claude:YouTube同事件AI 评分6868 Claude 推出 Dashboards 和 Motion 两款新工具并转正 Docs、Slides、Design
Claude 宣布 Dashboards 和 Motion 进入 beta。Dashboards 可连接数据平台或 CRM,生成随数据变化实时更新的仪表盘,面向所有付费计划;Motion 把报告或图表变成动画讲解短片,以代码方式生成、无视频模型参与,可修改文字、数字和节奏后导出 MP4,面向 Team 和 Enterprise 计划。
同一件事,精选收录的是《Claude 推出 Dashboards 实时仪表盘与 Motion 动画讲解功能》
Together AI 研究与产品博客AI 评分5959 Together AI 发布 Together Post-Training 定制模型训练服务
Together AI 推出 Together Post-Training 服务,支持用户自定义完整训练循环,通过 RL 环境奖励和 SFT 数据训练专属模型。
The Decoder:AI NewsAI 评分6868 Kling AI 发布 Kling 4.0:支持立体声音频、多语言对口型,并推出轻量 Flash 版本
Kling AI 发布视频生成模型 Kling 4.0,单次可生成最长 30 秒视频,提示词理解扩展到 8000 token,Omni Reference 最多接受 15 个参考素材,新增双声道立体声和十余种语言的对口型。
Google Developers BlogAI 评分5656 Google 发布 LiteRT Tensor API,用 C++ 手写端侧模型图并跨 CPU、GPU、NPU 运行
Google 发布 LiteRT Tensor API,一个轻量 C++ 模型编写层,可在 CPU、GPU(ML Drift)、NPU 上运行同一计算图,或经 XNNPACK 无需模型文件直接在 CPU 运行。
Rohan Paul@rohanpaul_aiAI 评分4040引用Ed Goode@edsgoodeThe compute market has been a wild ride in 2026. Prices have skyrocketed, minimum contract durations have tripled, and near term capacity is few and far between. At the same time, agents are becoming a primary user of compute themselves, and not just GPU compute. It’s clear that the existing rental models and platforms across the industry no longer fit the reality we see today. That’s why this week we’re announcing six new features for the Shadeform platform 👇️
OpenRouter@OpenRouter精选AI 评分6767推荐理由:原文给出 Inception 扩散模型的速度、上下文、基准对比和上线折扣价格,可据此评估其相对现有模型的性价比。
Arena.ai@arenaAI 评分6464引用OpenAI@OpenAIChatGPT Images 2.5—faster, sharper, smarter, with better tools for creating whatever you can dream of. - Faster image generation to keep your ideas flowing - Improved fidelity for more natural, recognizable images - Consistent details across multiple edits - Comment-based edits to change only what you want
PyTorch:Blog精选AI 评分6767 AWS 发布 TorchNeuron:Trainium 的原生 PyTorch 后端开源
AWS 宣布推出 TorchNeuron,一个面向 Trainium 的开源原生 PyTorch 后端,10 月 20 日以 Apache 2.0 协议在 PyTorch Conference North America 开启公测。
推荐理由:原文给出 TorchNeuron 的架构、执行模式和兼容性测试数据,开发者可据此评估把现有 PyTorch 工作流迁到 Trainium 的成本。
公众号:卡尔的AI沃茨AI 评分6161 实测 Lovart 2.0 个人设计 Agent Arti:记忆、画布巡检与设计委托
作者实测 Lovart 2.0 新上线的个人设计 Agent Arti,它能读取用户历史项目的审美记忆,在生成中自动调研视觉方向、自主纠错,并支持画布巡检和分享链接后在画布上直接评论。文中用广东文创品牌和奶茶秋季海报项目验证记忆复用,还试运行了一个每日饮品节点的设计委托任务;Lovart 2.0 中文版已全量上线。
公众号:昆仑万维AI 评分4949 SkyProduction 天工工作台发布官方资产库,6000 多套人设、场景、道具资产可复用
SkyProduction 天工工作台 10 月 19 日正式推出官方资产库,开放 6000 多套人设、场景、道具资产,支持标签筛选、预览和跨项目复用。资产库将一次性素材沉淀为可搜索、可再创作的创作资产,官方称可省下 80% 的素材时间。
MarkTechPostAI 评分5959 NVIDIA 将 Run:ai 平台以 Apache 2.0 协议开源,用于 Kubernetes GPU 编排
NVIDIA 将 Run:ai 平台完整开源,源码以 Apache 2.0 协议发布在 GitHub,平台团队可检视、fork 和自托管而无需付费订阅。
IT之家·人工智能AI 评分4444 腾讯 WorkBuddy 教育公益版上线:全国教师每月可领 2000 积分,连续 12 个月
腾讯 SSV 宣布 WorkBuddy 教育公益版正式上线,全国教师不限地区、不限学段,每人每月可领 2000 积分并连续领取 12 个月。该版本联合北京大学、北京师范大学等高校,将教学设计、课件设计、家校沟通等教育研究拆成 100 多位教育专家(陆续上线中),另上线创意教学、剧本课堂、课件制作、动画演示、素材加工 5 个工具。
Tibo@thsottiauxAI 评分4141第 14 天/ 小幅体验改进。现在你可以在桌面应用的对话线程中编辑此前发送的消息。这是长期被请求的功能,推出得实在太晚了。
Simon Willison 博客AI 评分4040 llm-echo 0.5 发布:调试插件更新模拟 token 用量统计
Simon Willison 发布 llm-echo 0.5,这个调试插件提供一个不涉及 LLM 的“模型”,只把收到的提示词原样回显。新版本更新了模拟 token 用量统计,将工具调用、系统提示词和推理 token 纳入计算。
Elon Musk@elonmuskAI 评分5454引用Brian Roemmele@BrianRoemmele“HUNNY MY GROK BOT CALLED OUR FAVORITE ITALIAN RESTAURANT AND MADE US RESERVATIONS” I built a Grok Bot whose only job is to pick up the phone and book you a table at restaurant. Literally make the call in a beautiful Grok voice. It is absolutely amazing! And it’s free. Try it: https://x.ai/bot/TIMrxLJHbEEpdr25yYgvL Yesterday I told it "book Gourmet Italia in Temecula, 4 people, tonight, around 7." It found the restaurant's number on its own, asked how flexible we were on time, what name to book under, and what callback number to give. Then it read everything back and waited for my OK before it dialed. One call covers every time that works for us, so there's no back and forth. When the call ends, it tells me what happened in plain English, quotes what the restaurant actually said, and offers to put the reservation on my calendar. If I don't have a calendar connected, it hands me a file that opens right in Apple Calendar. A Proposal: Grok Phone Grok Bot needs its own phone number to make and receive calls. I connected a calling service called ClawCall, and the free tier gave me 30 calls or 30 minutes to start. I have no connection to that company. It's just what I used. Once Grok Bot has a number, it stops being something you type to and becomes something that can actually get things done in the real world. @Grok you need an old tyme phone service, buddy. I built some guardrails. It never hands over a credit card or deposit info, never leaves voicemails unless you ask, makes one call at a time, and never calls on its own. And this isn't really about restaurants. Change a few words and the same bot can: - Book a haircut, a massage, or a dentist cleaning - Get a tee time or a court reservation - Check if a hotel has a room or will let you check in early - Schedule a car service or an oil change - Call around for quotes from a plumber, an electrician, or a caterer This is one of many ways I use Grok Bot to build businesses and make life easier. The calls I used to put off for days now take me 30 seconds. I made it shareable, so you can grab "Call A Restaurant Reservation" and use it yourself. LINK: https://x.ai/bot/TIMrxLJHbEEpdr25yYgvL
Aravind Srinivas@AravSrinivasAI 评分4242由 Perplexity Computer 打造的赛博朋克风格 Roadster 自由漫游浏览器游戏:https://2049.pplx.app

IT之家·人工智能AI 评分4545 英伟达优化 Kimi K3 推理速度,GB300 NVL72 上提升 1.68 倍
英伟达通过一项上游 vLLM 优化,让 2.8 万亿参数量的 Kimi K3 在 GB300 NVL72 上达到 423 tok/s/user 的推理速度,性能提升 1.68 倍。