Pollo AI has launched four new AI-driven video effects that transform static images into dynamic videos. The effects, which include 'squeeze,' 'inflate,' 'explode,' and 'melt,' allow users to bring photos to life. Additionally, the company has released holiday-themed templates to enhance video creation for the festive season.

OpenAI CEO Sam Altman acknowledged on social media that the demand for Sora, the company's AI-driven video production model, has far exceeded expectations. The AI platform, which creates high-quality videos from text or images, is reshaping video creation in the creative industry. However, limited availability and access challenges remain.

Adobe and MIT have developed CausVid, a groundbreaking video generation model that delivers high-quality video with a minimal delay of just 1.3 seconds for the first frame. This model promises to transform industries like gaming, virtual reality, and streaming by enabling real-time video creation at unprecedented speeds.

OpenAI's CEO Sam Altman acknowledged on social media that the demand for Sora, the company's new AI-powered video production tool, far exceeded initial expectations. The platform, which generates videos from text prompts or images, is poised to revolutionize the creative industry, though availability remains limited.

Decart is a real-time generative AI platform designed for interactive video content creation with support for large-scale GPU clusters.

**Summary** 1. MarDini is Meta’s latest video generation model, developed in collaboration with KAUST. 2. It excels at tasks like video interpolation, image-to-video generation, and video expansion. 3. MarDini uses innovative planning and generation models to create high-quality videos faster and more efficiently. 4. It can be trained from scratch using unlabeled video data, making it extremely flexible. 5. MarDini is more cost-effective and time-efficient than many other video generation models on the market.

**Summary** 1. Meta introduces **MarDini**, a next-gen video generation model built in partnership with KAUST. 2. **MarDini** can handle missing frames, image-to-video conversion, and video expansion with ease. 3. The model is **efficient** and cost-effective, setting new benchmarks in video creation. 4. It can be trained from scratch using unlabeled video data, thanks to its progressive training strategy. 5. MarDini’s two-part system (planning + generation) ensures smooth, high-quality videos every time.