Video Generation

Today's Stories

1. 1

   Apple Researchers Unveil VideoFlexTok: A New Video Compression Method

   Apple's research team introduced VideoFlexTok, a visual tokenizer that compresses video into a representation for downstream AI models. The method represents video as a spatiotemporal 3D grid of tokens, with each token capturing local information from the original video signal. Traditional video tokenization requires downstream models—such as text-to-video generators—to predict all low-level details pixel-by-pixel regardless of the video's inherent complexity. VideoFlexTok appears designed to move beyond this constraint, potentially allowing models to focus computational effort more efficiently based on what matters most in a given video.

   The research is published on Apple's machine learning research website. This work addresses a foundational step in how video-based AI systems process and understand visual information.

2. 2

   AI Music Video Generation: 10 Tools That Automate Your Creative Workflow in 2026

   AI Music Video Generation: 10 Tools That Automate Your Creative Workflow in 2026

3. 3

   Google launches Nano Banana 2 Lite and Gemini Omni Flash for faster AI images and video

   Google released two new AI models—Nano Banana 2 Lite for fast image generation at $0.034 per image in four seconds, and Gemini Omni Flash for video generation and editing via API at $0.10 per second of output. Both are now available to developers through the Gemini API and Google AI Studio. Nano Banana 2 Lite replaces Google's older image model and offers a lower-cost, faster option for developers who prioritize speed over quality. Gemini Omni Flash opens video generation to the API for the first time, allowing developers to combine text, images, and video in a single workflow—and Google recommends chaining both models together to quickly generate images and animate them into video.

   Gemini Omni Flash currently generates only ten-second clips, and audio references and scene extensions are not yet supported in the API. Character consistency across scene changes remains limited. Both models apply SynthID watermarks to tag AI-generated content, with verification available through the Gemini app, Gemini in Chrome, and Google Search.

4. 4

   Google rolls out Gemini Omni Flash API for enterprise video editing via conversation

   Google is releasing Gemini Omni Flash, the first model in its new Omni family, to developers and enterprise customers through an API. The model, which debuted to consumers at I/O 2026, allows users to edit finished video clips through conversation rather than traditional production workflows. Enterprise video production has traditionally required a full chain—planning, filming, editing, and revisions—making it costly and time-consuming. Google frames Omni as rewriting this equation by enabling faster, conversation-based editing, which may allow businesses to produce internal training videos and product explainers that previously would not have been made due to resource constraints.

   The API rollout addresses a gap from the consumer launch in May, when the model lacked a programmatic interface that enterprises needed to integrate it into production systems.

5. 5

   Soracom Adds New Feature to "Wisora" - Handover Function for AI and Human Collaborative Response

   Soracom Adds New Feature to "Wisora" - Handover Function for AI and Human Collaborative Response

6. 6

   Google DeepMind invests $75M in A24, signaling shift from video tools to content

   Google DeepMind invested $75 million（約120億円） in indie film studio A24 this week, with the two companies partnering to develop AI tools for filmmakers. Investment in AI video and media tech startups has more than tripled over the past five years, reaching $5.6 billion（約9000億円） this year, up over 43% from 2025's annual total. The market is shifting beyond competition over video-generation technology itself. Video generation is becoming easier to build, with new models from China rivaling US and European products, and incumbents developing their own AI capabilities. This means the real value may now lie in content creation and end products, not just the software layer—a change that opens opportunities for creative studios alongside tech companies.

   VCs are beginning to fund AI-native or AI-powered studios. Promise has raised funding from backers including Andreessen Horowitz and Google's AI Futures Fund, and London-based Wonder raised $12 million（約19億円） from investors including Atomico and LocalGlobe.