今日要闻

OpenAI 推出 GPT-6.1 Terra,将用于代理工作的 GPT-6.1 Sol 的 API 价格下调一半
MarkTechPost
OpenAI如何将其编码工具转变为一个始终在线的个人助理
TechCrunch · AI
Cohere表示,阿里巴巴的Qwen模型曾试图向北京发送一个文件
TechCrunch · AI
OpenAI宣布三项重大科学发现以及一种与学术界合作的新方式
The Verge · AI数据文化如何从零信任逐步发展为可交付的AI分析代理
dbtOkta 在大规模管理 AI 智能体上下文时所学到的经验
dbt在 dbt Wizard 内部,用于展示其工作成果的 AI 智能体
dbtdbt v2 登陆:解析速度更快、采用统一的适配器层,并提供无需庞大 manifest.json 文件的文档体验
dbt
Anthropic 正在燃烧天然气以支撑人工智能的蓬勃发展
The Verge · AI从发现前沿资讯,到找到趁手的工具。
发现好用的 AI
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Claude通用助手与搜索Claude 是 Anthropic 推出的 AI 助手,可通过对话协助写作、阅读资料、分析数据和编程,并将部分任务整理为可继续编辑的文档、表格或演示文件。适合希望把想法、资料和初稿衔接起来的个人与团队。
GGemini 是 Google 的 AI 助手,可通过对话协助写作、规划、整理资料和分析上传文件,也可用 Deep Research 围绕一个主题检索资料并生成研究报告。
MMidjourney 是从文字和参考图片生成视觉作品的 AI 创作工具。可在网页 Create 页面输入提示,比较生成版本,再使用变体、编辑、放大或图像转视频等功能继续创作。
KKrea 是 AI 视觉创作工作空间,可从文字或参考图生成图片,比较不同模型与变体,再进行编辑、细节增强和放大,也提供视频及其他创意工具入口。
RRunway 是集视频生成、视觉编辑和创作流程于一体的 AI 平台。可从文字、图片或已有片段开始,生成或修改镜头,再进行延长、放大和导出,服务于概念短片、广告及其他视觉制作。
SSuno 是通过文字描述、歌词和参考素材创作歌曲的 AI 音乐平台。用户可生成带人声的歌曲或音乐,再使用编辑、重混与音轨分离等功能继续制作和分享。
EElevenLabs 是提供 AI 语音生成、音频创作和语音智能体的平台。创作者可以制作配音、有声书、播客及本地化内容,开发者则可通过 API 接入语音生成、转录和对话能力。
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Notion AI办公与效率Notion AI 是集成在 Notion 工作空间中的 AI 助手,用于查找团队知识、生成和编辑页面、处理数据库及整理会议内容。它结合工作空间和已连接应用的上下文,帮助把资料查询、内容整理和后续任务放在同一工作环境中完成。
GGamma 是用 AI 协助制作演示文稿、文档、网页和视觉内容的产品,可从目标、提纲或已有资料开始生成内容,再通过对话、布局与自由编辑调整成品。
CCursor 是围绕软件开发任务工作的 AI 编程产品,可在代码上下文中协助规划、修改、测试和审查代码,并提供桌面、命令行及云端智能体等使用方式。
AI 正在发生
1141 条已发布资讯Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration
Gemini Robotics ER 2 helps robots reason, collaborate, and solve real-world tasks. It represents a step change in video understanding, tool orchestration, and multi-robot collaboration for robotic applications.
译文排队中,当前为原文 · enWe’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control
We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control
译文排队中,当前为原文 · enFrom CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new epoch in computing. Hardware is changing rapidly — not just faster GPUs, but a growing range of chips from different vendors, each with its own architecture and often tailored to specific AI workloads. Software is changing just as fast, and AI coding tools now generate in minutes what took months of effort a few years ago. With so much of computing now centered on AI, GPU kernels are a crucial component of its success. These are the low-level programs that run inside the GPU, and writing efficient ones is far from obvious — it takes years of expertise to get right. Transferring a kernel from o
译文排队中,当前为原文 · enGemini Robotics 2 brings whole body intelligence to robots
Gemini Robotics 2 brings whole body intelligence to robots
译文排队中,当前为原文 · enTeaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction
Overview of ABBEL compared to traditional recursive summarization. Beliefs replace the full interaction history as the agent’s working context, and belief grading improves performance by supervising the contents of each belief state.. As task horizons grow, LLM contexts can’t scale forever. Self-summarization enables concise, interpretable contexts, but at a significant performance cost, especially for human assistance domains where high quality data is scarce, e.g., collaborative code generation. We address this with ABBEL: a framework that isolates and supervises the information content of summaries in the form of natural-language belief states. Motivation: the cost of recursive summarization For language models to effectively assist with increasingly complex tasks such as software devel
译文排队中,当前为原文 · enAccelerating the frontiers of scientific discovery: Google’s $40M commitment to the Genesis Mission
Google commits $40M in AI tokens and credits for the Genesis Mission
译文排队中,当前为原文 · enIntroducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
We’re introducing new Gemini models, including Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber.
译文排队中,当前为原文 · enIntroducing Gemini 3.5 Flash Cyber
Google introduces Gemini 3.5 Flash Cyber, a lightweight cybersecurity model to find and patch vulnerabilities.
译文排队中,当前为原文 · enOur approach to bioresilience
Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.
译文排队中,当前为原文 · en