Meta’s AI Movie Generator

Meta has announced the upcoming launch of Movie Gen, a set of generative multimodal AI models designed for video and audio creation, set to debut on Instagram in 2025.

This advanced system features 4 key models: Movie Gen Videoa 30 billion-parameter text-to-video generator; Movie Gen Audioa 13 billion-parameter audio generator; Personalized Movie Gen Videowhich creates custom videos using users’ images; and Movie Gen Editspecializing in precise video modifications.

Users can produce HD videos lasting as much as 16 seconds with 48kHz audio through easy text prompts. Meta’s approach combines traditional diffusion model techniques with a brand new method called Flow Matching, enhancing each efficiency and output quality. The training utilized vast datasets, although concerns about data sourcing have been raised.

Meta intends to democratize access to those advanced tools for each casual users and skilled creators, with ongoing improvements planned for user experience and technological capabilities. Read more.

Apple is gearing as much as introduce AI features to the iPhone 16 with the upcoming iOS 18.1 update, slated for release on October 28, based on Bloomberg’s Mark Gurman. This update guarantees to roll out AI-powered notification summaries, offering a glimpse into the longer term of streamlined user engagement.

Amongst other nifty enhancements within the beta, Siri will now boast improved comprehension, effortlessly deciphering even essentially the most garbled queries. Users may also expect a vibrant rainbow-colored edge graphic when invoking Siri, adding a splash of flair to voice commands.

While Apple Intelligence is proscribed to the iPhone 15 Pro and later models, it’s already available in beta on Macs and iPads with Apple silicon (M1 and above). Nonetheless, some marquee features, like Siri’s multi-app task execution, are still on the horizon, possibly arriving in March 2025, with fun extras like Apple’s Image Playground expected by December. Read more.

Researchers at Johns Hopkins University have introduced RATIONALYST, an AI model designed to reinforce the reasoning capabilities of huge language models by utilizing implicit rationales derived from unlabeled text data. This modern system generates and filters justifications based on example prompts, capturing essential reasoning patterns for brand new texts.

Trained on roughly 79,000 implicit justifications, RATIONALYST monitors step-by-step problem solutions, generating reasoning for every stage to guide the choice of optimal next steps. In evaluations across various reasoning tasks, RATIONALYST achieved a median accuracy improvement of three.9 percent, outperforming larger verifier models, including GPT-4.

The researchers view this method as a viable strategy for reinforcing each the interpretability and performance of language models in complex reasoning scenarios, with plans for future enhancements involving stronger models and more extensive datasets. The model’s code is publicly available on GitHub for further exploration. Read more.