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#Video

All collected and published items, ordered by time. Picks are a selected subset.
First-party

Direct announcements from model vendors, companies and research institutions on their official sites, blogs and accounts.

10/14Wed
10/9Fri
9/30Wed
  1. AWS Machine Learning Blog28

    Generate images and video with vLLM-Omni on SageMaker AI (Part 2)

    An AWS tutorial shows how to deploy two endpoints using the same vLLM-Omni DLC image on SageMaker AI: a real-time endpoint using FLUX.2-klein-4B for image generation and an asynchronous endpoint using Wan2.1-VACE-1.3B for image-conditioned video generation. A text prompt first produces a PNG, then the image and motion prompt are sent through Amazon S3 to the video endpoint. The generated MP4 is retrieved from S3. The example includes a command-line workflow and an optional Streamlit interface.

9/25Fri
  1. Google Research65

    Google Research introduces AI video co-director framework for coherent long-form video generation

    Google Research has introduced an AI video co-director multi-agent framework, an orchestration layer on top of Gemini and Veo. It models long-form video generation as a problem of global optimization and world-state tracking to mitigate semantic drift and cascading failures.

    Why it matters: Google breaks long-video generation into four composable frameworks and reports continuity improvements across several benchmarks, illustrating how multi-agent orchestration can reduce semantic drift.

  2. Google DeepMind71

    Google DeepMind releases Gemini 3.8 Live with Live Avatar

    Google DeepMind has released Gemini 3.8 Live with Live Avatar, combining real-time video generation and voice to give Gemini's conversational model a near-real-time visual avatar, with accurate lip-sync, natural expressions, and smooth turn-taking.

    Why it matters: Gemini 3.8 Live adds real-time video avatars, giving readers a view of how multimodal conversation is being applied in enterprise settings and where the feature is available.

9/23Wed
9/21Mon
9/2Wed
  1. Google DeepMind74

    Google DeepMind adds agentic video understanding to Gemini 3.7 Flash and other models

    Google DeepMind has introduced agentic video understanding for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite. Video analysis uses up to 88% fewer tokens and costs up to 66% less, while accuracy improves by up to 7%.

    Why it matters: The article gives token and cost reductions and access details, helping readers assess how the economics of long-video analysis are changing.

8/28Fri
  1. Google DeepMind68

    Google DeepMind releases Gemini Omni 1.1 Flash

    Google DeepMind has released Gemini Omni 1.1 Flash, offering developers video-generation controls through the Gemini API in Google AI Studio.

    Why it matters: The article details capabilities such as extending scenes, interpolating between first and last frames, and 4K upscaling, helping readers assess how controllable video-generation workflows are becoming.

7/3Fri
  1. Google DeepMind22

    Google DeepMind and A24 announce their first research partnership

    Google DeepMind and A24 have announced their first research-focused partnership, a long-term collaboration across several projects that will involve A24 and its filmmakers in shaping new technology. Google has also invested in A24. Initial work will focus on bridging frontier technology and next-generation entertainment, with specific goals and technical outputs to evolve over time.

7/1Wed
5/18Mon
  1. Google DeepMind85

    Google DeepMind releases Gemini Omni Flash for video generation from multimodal inputs

    Google DeepMind has released Gemini Omni Flash, the first model in the Omni family. It can combine images, audio, video, and text as inputs to generate high-quality video and supports iterative video editing through natural-language conversation.

    Why it matters: The source describes the first Omni model's input and output capabilities and where it is available, helping readers assess the practical reach of multimodal video generation.