Browser Use 开源的会话式视频剪辑技能包 video-use（当日涨星 +745、★26,450、MIT）：不让模型看像素，只让它读 12KB 词级转写文本 + 按需抽查画面，配合 12 条硬规则与 EDL 驱动的 ffmpeg 确定性渲染管线。拆解两条读入通道、六步流水线与自评回路，附五个落地场景与成本口径。

Alibaba's Qwen3.8-Omni-Flash understands audio and video, plans tasks, calls tools, and reports about 45.7% fewer tokens…

Video generation is shifting from end-to-end synthesis toward agentic generation, where planning, tool use, and feedback…

Browser Use 是开源浏览器智能体的代表项目：把浏览器操作抽象为 Agent 可用的结构化工具面。本篇拆解浏览器智能体的技术栈分层（Browser Use/Playwright MCP/各家框架的整合）、两种感知路线的取舍（DOM 快照 vs 截图视觉）、登录态与反爬的现实工程，以及企业与个人怎么用这套开源栈。

「系统变慢了」是最难的工单——工具人人都有，方法论才分高下。系列收官篇讲透三套底层功法：给每个资源问三个问题的 USE 方法、让热点自己浮出来的火焰图、以及 P99 为什么比均值重要的尾延迟理论，外加压测圈最大的谎言「协调遗漏」。

API 覆盖不了的世界还剩一大半——政务系统、遗留软件、没有开放接口的网页。Computer Use 让模型像人一样看屏幕、动鼠标、敲键盘，把「剩下的一大半」变成智能体的疆域。本文拆解它的感知-行动循环、两条技术路线、OSWorld 成绩单与提示注入的真实风险。

Predicting future physical states stands as a central challenge in embodied intelligence. Existing video world models le…

Oct 25, 2026 Nvidia Labeling one hour of robot video for 72 cents instead of $88 is what Nvidia promises with Flora, its…

Cinematic video generation requires both temporal inference from limited inputs (i.e., sparse rather than frame-by-frame…

Interactive video world models need to generate each video chunk efficiently while responding faithfully to user control…

Video understanding agents acquire evidence through an executable harness that controls what they observe and how they u…

Google Research has introduced an **AI video co-director** for long-form video generation. The suite of 4 agentic framew…

Few-step autoregressive (AR) video diffusion enables low-latency streaming generation, but existing post-training method…

In a bid to help creators reach more people, YouTube on Wednesday unveiled a slew of new tools, many of which use AI to …

Recent advances in video generative models have enabled high-fidelity, temporally coherent video generation. However, th…

Runway wants to stream AI video as users prompt it, rather than make them wait for finished clips. The approach builds o…

Computer-use agents (CUAs) have advanced along two separate lines: graphical interaction and software development throug…

Interactive control for video generation is moving from coarse prompts toward fine-grained, physically meaningful manipu…

Few-step autoregressive video diffusion enables efficient generation, yet maintaining consistency over long rollouts rem…

Multimodal large language models (MLLMs) can generate detailed video captions, yet they may overemphasize minor details …

Robot-use Agents (RUAs) have shown promising zero-shot manipulation capabilities, but reliance on frontier, proprietary …

Prediction errors from video world models are often treated as physical surprise, but they can also reflect appearance, …

Scaling computer-use agents from individual actions to complex software work requires experience that connects decisions…

Real-time long-video generation requires continuous output with consistent appearance and natural motion. Existing chunk…

Code-based video generation offers fine-grained control, targeted editing, and component reuse compared with direct vide…

Recent advances in large (vision) language models have enabled computer-use agents that automate digital workflows via f…

Video scene graph generation (VidSGG) aims to capture objects and their evolving relationships in videos. This requires …

在 YouTube 获得美国奥斯卡奖颁奖典礼的转播权之后，另一个流媒体平台亚马逊 Prime Video 获得了美国另一个主要奖项艾美奖的转播权。Amazon Prime Video 将从 2027 年起成为艾美奖的全球独占播放平台，这一协…

Data video is a media form that integrates data visualization with video narrative, widely adopted in news reporting and…

Single-image, multi-image, and video deep research require different visual operations but share a workflow of visual gr…

A 4D audio-visual scene comprises a video, the dynamic geometry it depicts, and the sound sources that populate it, each…

Computer-use agents (CUAs) are rapidly improving, yet synthesizing diverse and reliable software environments at scale r…

Video generators and video-based world models can synthesize plausible visual trajectories, but long-horizon procedural …

Video-language models commonly assume that more temporal observations lead to more reliable reasoning. We question this …

Recovering faithful 3D hand motion from video remains challenging due to frequent occlusions and incomplete visual obser…

Bidirectional video diffusion models denoise entire videos in parallel, yet when trained on effectively unlimited in-dis…

Autoregressive video diffusion supports streaming generation and interactive control, but its KV cache grows continuousl…

Biological reasoning models use post-training to connect LLMs to biological foundation model representations and biologi…

Recent video generation models can produce highly realistic videos from natural language instructions, with visual quali…

Keyword-matching benchmarks can credit small models for tool use they never perform. We document such a false positive i…

Streaming video LLMs must retain evidence before its relevance to future tasks is known and respond when sufficient evid…

Recent video-based world models pair the scalability of autoregressive (AR) prediction with the visual quality of diffus…

Video world models require persistent scene memory to maintain consistency during long-horizon video generation. Existin…

Video generation has rapidly progressed from short, low-quality clips to high-resolution, long-duration sequences with c…

H Company has released Holo4, a family of generalist computer-use models for AI agents. One set of weights clicks and ty…

World-space hand motion estimation from egocentric video requires recovering 3D articulated hand geometry while tracking…

Long-horizon camera-controlled video generation requires recovering previously observed content from an ever-growing vis…

Comparisons in video self-supervised learning often evaluate complete training recipes rather than isolating the method …

Crusoe, a Denver-based AI data center startup that recently raised $3.9 billion, has ended plans to use a new line of st…

Few-step autoregressive video diffusion generates a long video by splitting the video into temporal chunks and generatin…