Grimy

On Friday, TriStar Pictures released Here, a $50 million Robert Zemeckis-directed film that used real time generative AI face transformation techniques to portray actors Tom Hanks and Robin Wright across a 60-year span, marking one of Hollywood's first full-length features built around AI-powered visual effects.

Metaphysic developed the facial modification system by training custom machine-learning models on frames of Hanks' and Wright's previous films. This included a large dataset of facial movements, skin textures, and appearances under varied lighting conditions and camera angles. The resulting models can generate instant face transformations without the months of manual post-production work traditional CGI requires.

You couldn't have made this movie three years ago," Zemeckis told The New York Times in a detailed feature about the film. Traditional visual effects for this level of face modification would reportedly require hundreds of artists and a substantially larger budget closer to standard Marvel movie costs

Meanwhile, as we saw with the SAG-AFTRA union strike last year, Hollywood studios and unions continue to hotly debate AI's role in filmmaking. While the Screen Actors Guild and Writers Guild secured some AI limitations in recent contracts, many industry veterans see the technology as inevitable. "Everyone's nervous," Susan Sprung, CEO of the Producers Guild of America, told The New York Times. "And yet no one's quite sure what to be nervous about."

Beautiful piece imo. There's a higher res version on their site.

Meta's issue isn't with the still-being-finalized AI Act, but rather with how it can train models using data from European customers while complying with GDPR — the EU's existing data protection law.

• Meta announced in May that it planned to use publicly available posts from Facebook and Instagram users to train future models. Meta said it sent more than 2 billion notifications to users in the EU, offering a means for opting out, with training set to begin in June.

• Meta says it briefed EU regulators months in advance of that public announcement and received only minimal feedback, which it says it addressed.

• In June — after announcing its plans publicly — Meta was ordered to pause the training on EU data. A couple weeks later it received dozens of questions from data privacy regulators from across the region.

A bipartisan group of senators introduced a new bill to make it easier to authenticate and detect artificial intelligence-generated content and protect journalists and artists from having their work gobbled up by AI models without their permission.

The Content Origin Protection and Integrity from Edited and Deepfaked Media Act (COPIED Act) would direct the National Institute of Standards and Technology (NIST) to create standards and guidelines that help prove the origin of content and detect synthetic content, like through watermarking. It also directs the agency to create security measures to prevent tampering and requires AI tools for creative or journalistic content to let users attach information about their origin and prohibit that information from being removed. Under the bill, such content also could not be used to train AI models.

Content owners, including broadcasters, artists, and newspapers, could sue companies they believe used their materials without permission or tampered with authentication markers. State attorneys general and the Federal Trade Commission could also enforce the bill, which its backers say prohibits anyone from “removing, disabling, or tampering with content provenance information” outside of an exception for some security research purposes.

(A copy of the bill is in he article, here is the important part imo:

Prohibits the use of “covered content” (digital representations of copyrighted works) with content provenance to either train an AI- /algorithm-based system or create synthetic content without the express, informed consent and adherence to the terms of use of such content, including compensation)