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…

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…

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

Streaming video understanding requires models to interpret evidence as it arrives, yet current evaluations often report …

Recent years have witnessed major progress in joint audio-video generation. Existing models still suffer from limited pe…

Video generation begins in text space by authoring a cinematic screenplay, then materializes into pixels. As contemporar…

Advances in generative models have improved video fidelity, enabling long-horizon generation, interactive world modeling…

Video is a rich representation of a physical event, capturing appearance, geometry, motion, and temporal evolution. Othe…

In this paper, we propose SVEET, a framework that requires merely training on a pretrained bidirectional video diffusion…

Video world models enable interactive exploration of dynamic environments, yet struggle to respect prior observations ov…

Despite impressive visual quality, state-of-the-art video diffusion models often generate content that violates real-wor…

Reinforcement learning (RL) is vital for optimizing video generation models, with a robust reward model (RM) serving as …

Internal emails and sworn testimony undercut OpenAI and Microsoft's fair use defense. A Microsoft director described the…

Reference-to-video (R2V) generation is evolving toward increasingly general and versatile reference control, giving rise…

Video diffusion models repeatedly process long spatiotemporal token sequences during denoising, making attention a major…

Nunchux AI has released VC-Attention, a training-free low-bit attention kernel built for video Diffusion Transformers (D…

Computer-use agents are increasingly evaluated in realistic desktop environments, but existing benchmarks provide limite…

Video diffusion models are stochastic and hard to control: precise content often requires repeated sampling without guar…

Computer-use agents increasingly interact with browsers, terminals, file systems, and external services, introducing saf…

Interactive video world models must maintain broad scene context under camera motion while producing high-fidelity obser…

Video understanding has rapidly evolved toward video large language models (VideoLLMs): systems that couple video repres…

Autoregressive (AR) video diffusion models have shown great potential in real-time video generation. Recent methods dist…

Accurate estimation of clinically meaningful gait parameters from monocular video is important for scalable mobility ass…

In this paper, we propose ReactVAU, a Slow-Fast Decoupled Framework for real-time streaming Video Anomaly Understanding …

Video foundation models increasingly rely on large-scale pretraining data, yet the end-to-end data pipelines behind them…

Audio-video diffusion models rely on cross-modal attention to coordinate text, sound, and visual content, yet this same …

Long-video language models cannot look at every frame: an hour sampled once per second is 3,600 images, and a system kee…

Video editing spans diverse editing paradigms, yet achieving high-quality instruction-guided and subject-guided editing …

Streaming video understanding is a critical capability for real-world applications, including embodied intelligence, aut…

Temporal reasoning benchmarks for Video-LLMs are often mediated by language, leaving room for linguistic shortcuts from …

Advertising video generation is not only a video synthesis task, but also a product-conditioned reasoning problem whose …

Sep 24, 2026 Meta expanded its AI agent Muse and showed off several new devices at Meta Connect 2026.** Muse now support…

Sep 22, 2026 TBC / GPT-Image-2 prompted by THE DECODER The Biological Computing Co. is teaming up with AWS to sell a tex…

Last week, TypeSafe AI released Jev, its first **System One model**. Founder Diogo Almeida previously worked at OpenAI o…

People across the world are increasingly turning to AI for everyday tasks, from looking up recipes and doing their homew…

At its Made On YouTube annual event, YouTube announced new tools for YouTube Studio, the app creators use to manage thei…

YouTube announced a bunch of new creator tools at Wednesday’s Made On YouTube event, including a conversational editing …

We define OmniVChat (Omni Video Chat) as the task of native audio-visual dialogue between a user and an omni model. In O…

If AI lab PrismML isn't on your radar yet, it should be.]

Multimodal agents can create complex videos in software such as Blender by coding without relying on diffusion models. Y…

Streaming omni-modal models must decide what and when to answer from the video chunks and synchronized audio observed so…

Manufacturing floors, warehouses and production lines rarely stay fixed — tasks change, layouts shift and new products a…

We present Vidu S2, which comprises Vidu S2-Avatar, a real-time interactive digital-character model, and Vidu S2-Editing…