Editor’s Pick

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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.

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The FBI has dismantled a massive network of compromised devices that Chinese state-sponsored hackers have used for four years to mount attacks on government agencies, telecoms, defense contractors, and other targets in the US and Taiwan.

The botnet was made up primarily of small office and home office routers, surveillance cameras, network-attached storage, and other Internet-connected devices located all over the world. Over the past four years, US officials said, 260,000 such devices have cycled through the sophisticated network, which is organized in three tiers that allow the botnet to operate with efficiency and precision. At its peak in June 2023, Raptor Train, as the botnet is named, consisted of more than 60,000 commandeered devices, according to researchers from Black Lotus Labs, making it the largest China state botnet discovered to date.

Burning down the house

Raptor Train is the second China state-operated botnet US authorities have taken down this year. In January, law enforcement officials covertly issued commands to disinfect Internet of Things devices that hackers backed by the Chinese government had taken over without the device owners’ knowledge. The Chinese hackers, part of a group tracked as Volt Typhoon, used the botnet for more than a year as a platform to deliver exploits that burrowed deep into the networks of targets of interest. Because the attacks appear to originate from IP addresses with good reputations, they are subjected to less scrutiny from network security defenses, making the bots an ideal delivery proxy. Russia-state hackers have also been caught assembling large IoT botnets for the same purposes.

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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.

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OpenAI truly does not want you to know what its latest AI model is “thinking.” Since the company launched its “Strawberry” AI model family last week, touting so-called reasoning abilities with o1-preview and o1-mini, OpenAI has been sending out warning emails and threats of bans to any user who tries to probe into how the model works.

Unlike previous AI models from OpenAI, such as GPT-4o, the company trained o1 specifically to work through a step-by-step problem-solving process before generating an answer. When users ask an “o1” model a question in ChatGPT, users have the option of seeing this chain-of-thought process written out in the ChatGPT interface. However, by design, OpenAI hides the raw chain of thought from users, instead presenting a filtered interpretation created by a second AI model.

Nothing is more enticing to enthusiasts than information obscured, so the race has been on among hackers and red-teamers to try to uncover o1’s raw chain of thought using jailbreaking or prompt injection techniques that attempt to trick the model into spilling its secrets. There have been early reports of some successes, but nothing has yet been strongly confirmed.

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A supply chain failure that compromises Secure Boot protections on computing devices from across the device-making industry extends to a much larger number of models than previously known, including those used in ATMs, point-of-sale terminals, and voting machines.

The debacle was the result of non-production test platform keys used in hundreds of device models for more than a decade. These cryptographic keys form the root-of-trust anchor between the hardware device and the firmware that runs on it. The test production keys—stamped with phrases such as “DO NOT TRUST” in the certificates—were never intended to be used in production systems. A who’s-who list of device makers—including Acer, Dell, Gigabyte, Intel, Supermicro, Aopen, Foremelife, Fujitsu, HP, and Lenovo—used them anyway.

Medical devices, gaming consoles, ATMs, POS terminals

Platform keys provide the root-of-trust anchor in the form of a cryptographic key embedded into the system firmware. They establish the trust between the platform hardware and the firmware that runs on it. This, in turn, provides the foundation for Secure Boot, an industry standard for cryptographically enforcing security in the pre-boot environment of a device. Built into the UEFI (Unified Extensible Firmware Interface), Secure Boot uses public-key cryptography to block the loading of any code that isn’t signed with a pre-approved digital signature.

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On Thursday, Oracle co-founder Larry Ellison shared his vision for an AI-powered surveillance future during a company financial meeting, reports Business Insider. During an investor Q&A, Ellison described a world where artificial intelligence systems would constantly monitor citizens through an extensive network of cameras and drones, stating this would ensure both police and citizens don’t break the law.

Ellison, who briefly became the world’s second-wealthiest person last week when his net worth surpassed Jeff Bezos’ for a short time, outlined a scenario where AI models would analyze footage from security cameras, police body cams, doorbell cameras, and vehicle dash cams.

“Citizens will be on their best behavior because we are constantly recording and reporting everything that’s going on,” Ellison said, describing what he sees as the benefits from automated oversight from AI and automated alerts for when crime takes place. “We’re going to have supervision,” he continued. “Every police officer is going to be supervised at all times, and if there’s a problem, AI will report the problem and report it to the appropriate person.”

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Researchers still don’t know the cause of a recently discovered malware infection affecting almost 1.3 million streaming devices running an open source version of Android in almost 200 countries.

Security firm Doctor Web reported Thursday that malware named Android.Vo1d has backdoored the Android-based boxes by putting malicious components in their system storage area, where they can be updated with additional malware at any time by command-and-control servers. Google representatives said the infected devices are running operating systems based on the Android Open Source Project, a version overseen by Google but distinct from Android TV, a proprietary version restricted to licensed device makers.

Dozens of variants

Although Doctor Web has a thorough understanding of Vo1d and the exceptional reach it has achieved, company researchers say they have yet to determine the attack vector that has led to the infections.

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 move brings conversational AI capabilities to a wider audience, allowing 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 first 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 / Soon you’ll be able to stream games and video for free on United flights. (credit: United)

United Airlines announced this morning that it is giving its in-flight Internet access an upgrade. It has signed a deal with Starlink to deliver SpaceX’s satellite-based service to all its aircraft, a process that will start in 2025. And the good news for passengers is that the in-flight Wi-Fi will be free of charge.

The flying experience as it relates to consumer technology has come a very long way in the two-and-a-bit decades that Ars has been publishing. At the turn of the century, even having a power socket in your seat was a long shot. Laptop batteries didn’t last that long, either—usually less than the runtime of whatever DVD I hoped to distract myself with, if memory serves.

Bring a spare battery and that might double, but it helped to have a book or magazine to read.