Enlarge (credit: Benj Edwards / Malte Mueller via Getty Images)

On Wednesday, AI video synthesis firm Runway and entertainment company Lionsgate announced a partnership to create a new AI model trained on Lionsgate's vast film and TV library. The deal will feed Runway legally clear training data and will also reportedly provide Lionsgate with tools to enhance content creation while potentially reducing production costs.

Lionsgate, known for franchises like John Wick and The Hunger Games, sees AI as a way to boost efficiency in content production. Michael Burns, Lionsgate's vice chair, stated in a press release that AI could help develop "cutting edge, capital efficient content creation opportunities." He added that some filmmakers have shown enthusiasm about potential applications in pre- and post-production processes.

Runway plans to develop a custom AI model using Lionsgate's proprietary content portfolio. The model will be exclusive to Lionsgate Studios, allowing filmmakers, directors, and creative staff to augment their work. While specifics remain unclear, the partnership marks the first major collaboration between Runway and a Hollywood studio.

Enlarge (credit: Memento | Aurich Lawson)

Given the flood of photorealistic AI-generated images washing over social media networks like X and Facebook these days, we're seemingly entering a new age of media skepticism: the era of what I'm calling "deep doubt." While questioning the authenticity of digital content stretches back decades—and analog media long before that—easy access to tools that generate convincing fake content has led to a new wave of liars using AI-generated scenes to deny real documentary evidence. Along the way, people's existing skepticism toward online content from strangers may be reaching new heights.

Deep doubt is skepticism of real media that stems from the existence of generative AI. This manifests as broad public skepticism toward the veracity of media artifacts, which in turn leads to a notable consequence: People can now more credibly claim that real events did not happen and suggest that documentary evidence was fabricated using AI tools.

The concept behind "deep doubt" isn't new, but its real-world impact is becoming increasingly apparent. Since the term "deepfake" first surfaced in 2017, we've seen a rapid evolution in AI-generated media capabilities. This has led to recent examples of deep doubt in action, such as conspiracy theorists claiming that President Joe Biden has been replaced by an AI-powered hologram and former President Donald Trump's baseless accusation in August that Vice President Kamala Harris used AI to fake crowd sizes at her rallies. And on Friday, Trump cried "AI" again at a photo of him with E. Jean Carroll, a writer who successfully sued him for sexual assault, that contradicts his claim of never having met her.

Enlarge / Under C2PA, this stock image would be labeled as a real photograph if the camera used to take it, and the toolchain for retouching it, supported the C2PA. But even as a real photo, does it actually represent reality, and is there a technological solution to that problem? (credit: Smile via Getty Images)

On Tuesday, Google announced plans to implement content authentication technology across its products to help users distinguish between human-created and AI-generated images. Over several upcoming months, the tech giant will integrate the Coalition for Content Provenance and Authenticity (C2PA) standard, a system designed to track the origin and editing history of digital content, into its search, ads, and potentially YouTube services. However, it's an open question of whether a technological solution can address the ancient social issue of trust in recorded media produced by strangers.

A group of tech companies created the C2PA system beginning in 2019 in an attempt to combat misleading, realistic synthetic media online. As AI-generated content becomes more prevalent and realistic, experts have worried that it may be difficult for users to determine the authenticity of images they encounter. The C2PA standard creates a digital trail for content, backed by an online signing authority, that includes metadata information about where images originate and how they've been modified.

Google will incorporate this C2PA standard into its search results, allowing users to see if an image was created or edited using AI tools. The tech giant's "About this image" feature in Google Search, Lens, and Circle to Search will display this information when available.

Enlarge / The Google Gemini logo. (credit: Google)

On Thursday, Google made Gemini Live, its voice-based AI chatbot feature, available for free to all Android users. The feature allows users to interact with Gemini through voice commands on their Android devices. That's notable because competitor OpenAI's Advanced Voice Mode feature of ChatGPT, which is similar to Gemini Live, has not yet fully shipped.

Google unveiled Gemini Live during its Pixel 9 launch event last month. Initially, the feature was exclusive to Gemini Advanced subscribers, but now it's accessible to anyone using the Gemini app or its overlay on Android.

Gemini Live enables users to ask questions aloud and even interrupt the AI's responses mid-sentence. Users can choose from several voice options for Gemini's responses, adding a level of customization to the interaction.

Enlarge / An AI-generated image featuring my late father's handwriting. (credit: Benj Edwards / Flux)

Growing up, if I wanted to experiment with something technical, my dad made it happen. We shared dozens of tech adventures together, but those adventures were cut short when he died of cancer in 2013. Thanks to a new AI image generator, it turns out that my dad and I still have one more adventure to go.

Recently, an anonymous AI hobbyist discovered that an image synthesis model called Flux can reproduce someone's handwriting very accurately if specially trained to do so. I decided to experiment with the technique using written journals my dad left behind. The results astounded me and raised deep questions about ethics, the authenticity of media artifacts, and the personal meaning behind handwriting itself.

Beyond that, I'm also happy that I get to see my dad's handwriting again. Captured by a neural network, part of him will live on in a dynamic way that was impossible a decade ago. It's been a while since he died, and I am no longer grieving. From my perspective, this is a celebration of something great about my dad—reviving the distinct way he wrote and what that conveys about who he was.

Enlarge / A screenshot of Taylor Swift's Kamala Harris Instagram post, captured on September 11, 2024. (credit: Taylor Swift / Instagram)

On Tuesday night, Taylor Swift endorsed Vice President Kamala Harris for US President on Instagram, citing concerns over AI-generated deepfakes as a key motivator. The artist's warning aligns with current trends in technology, especially in an era where AI synthesis models can easily create convincing fake images and videos.

"Recently I was made aware that AI of ‘me’ falsely endorsing Donald Trump’s presidential run was posted to his site," she wrote in her Instagram post. "It really conjured up my fears around AI, and the dangers of spreading misinformation. It brought me to the conclusion that I need to be very transparent about my actual plans for this election as a voter. The simplest way to combat misinformation is with the truth."

In August 2024, former President Donald Trump posted AI-generated images on Truth Social falsely suggesting Swift endorsed him, including a manipulated photo depicting Swift as Uncle Sam with text promoting Trump. The incident sparked Swift's fears about the spread of misinformation through AI.