Gen AI Tools Are Now Being Used to Push'Slop Jihad' A new generation of Islamic terror supporters are using AI to spread'Slop Jihad' to new audiences on TikTok. Over a decade ago, the Islamic State released a disturbing video that depicted its members lowering men locked in a cage into a swimming pool and drowning them. Today, that video has been reproduced as a SpongeBob SquarePants cartoon depicting fish in orange jumpsuits inside the cage, as SpongeBob lowers the cage into the water while Squidward films the scene. The video, shared on TikTok, is part of what a new report from the Institute of Strategic Dialogue (ISD) calls "Slop Jihad," a trend where young supporters of Islamic terror groups like ISIS and al-Qaida appear to use generative AI tools to create fan edits, cartoons, and memes designed radicalize a new generation of online backing. This shift "signals a fundamental transformation in the aesthetics of jihadist propaganda online," concludes the report, which was shared exclusively with WIRED. "The principal concern is the growing volume and diversity of material," says Adam Hadley, executive director of Tech Against Terrorism, a UN-backed counter terrorism organization that has also written a report about the Slop Jihad trend.

You Know Who Really Hates AI? Insurance Claims Adjusters Of the Glassdoor reviews from claims adjusters that mentioned AI, a staggering 98 percent were negative. "AI is just a tool," one person tells WIRED. "It should never be given the keys." On the job review platform Glassdoor, one faction hates artificial intelligence more than any other. "Pushing AI to the point that you are asking humans not to use their thoughts and brains is such a turn off," reads one representative review.

Pet owners, rescue agencies, and wildlife groups are calling for new safeguards as AI makes it harder to tell whether animals, from polar bears to house cats, are real or fake. AI-generated videos and pictures are destroying one of the largest and most enduring sources of joy and compassion on the internet: animals . Whether the imagery features sailors rescuing a polar bear, baby cows separated from their mothers, or a lost pet that was miraculously found, many people have reached the point where they can't take the creatures on their feeds at face value anymore. The explosion of deepfakes and AI slop over the past few years has led to widespread frustration among viewers, creators, and organizations that support animals, forcing everyone to hunt in the pixels for glitches or other telltale signs of AI. Mibbby Butler was overjoyed one day in April when she received a text message that her lost cat, Brooklyn, had supposedly been found.

The deepfake epidemic in schools is affecting more than students. Four teachers tell WIRED about becoming targets of sexualized, AI-generated content--and how difficult it was to find accountability. For Luis DeSantiago, a substitute teacher in Los Banos, California, it started with a few text messages. On March 12, as he was working his other part-time job at a coffee shop, his phone lit up. A fellow barista said there was an AI photo circulating on social media. Her cousin wanted to know if it was DeSantiago.

Coders Say They Already Found Workarounds to Claude's Invisible Watermarks Anthropic announced last week it would include invisible watermarks in AI-generated content to comply with new EU rules. Within hours, overrides were being touted online. Within four hours of Anthropic confirming that Claude models would globally embed invisible, machine-readable watermarks into any AI-generated content, developer Guillaume Meyer had published his override. His code to remove watermarks from Claude-generated text has since gone viral on GitHub, has been bookmarked more than 20,000 times on X, and has drawn more than 100 contributors, with many more incorporating the technology into their own projects. "Anthropic is embedding watermarks in its Claude texts the issue is practically history just one day later," wrote one AI specialist, accompanied by an image of Meyer breaking out of chains and standing on crumpled EU and Anthropic flags.

Google VP Josh Woodward just announced that users will be able to remove visible watermarks from AI-generated images and videos. A toggle will soon be available for the Nano Banana, Omni and Lyria models, which all use the familiar sparkle icon to denote AI. This kind of defeats the whole point of visible watermarks, as they exist to give people a fast way to spot AI-generated content out in the wild. However, users will still have slightly harder methods to identify this type of thing. This move will not impact the invisible SynthID watermark and C2PA metadata, as there are are no toggles to shut those off.

Such AI-generated content attracted approximately 335 million views on social media, resulting in financial losses estimated at ¥2 billion to ¥4.5 billion for celebrities and artists, according to the study. The estimated losses were calculated based on licensing fees related to using a person's likeness or voice, as well as the advertising value of view counts. However, the nonprofit added that the "actual financial losses might be significantly larger than the estimate," as the calculation only covered cases they were able to find. Only 1.1% of companies said they had guidelines on how to deal with these violations. Some 52% said they were "currently considering" options, while the rest had no plans as of date.

Global society makes billions of images and uploads hundreds of thousands of hours of video on the internet every day. The problem is, some of this content is misleading or downright wrong. And when it's in visual form, it can be particularly convincing . Take the Met Gala that happened earlier this month in New York. While photographers snapped photos of Rhianna, Beyoncé and Nicole Kidman as they strutted their stuff, others saw "photos" of celebrities, such as Rosalía, Lady Gaga and Jacob Elordi, who were actually elsewhere (the images in the below Instagram carousel are AI generated).

This position paper argues that real-time generative AI has the potential to become the next wave of addictive digital media, creating a new class of digital content akin to "digital heroin" with severe implications for mental health and youth development. By shortening the content-generation feedback loop to mere seconds, these advanced models will soon be able to hyper-personalize outputs on the fly. When paired with misaligned incentives (e.g., maximizing user engagement), this will fuel unprecedented compulsive consumption patterns with far-reaching consequences for mental health, cognitive development, and social stability. Drawing on interdisciplinary research, from clinical observations of social media addiction to neuroscientific studies of dopamine-driven feedback, we illustrate how real-time tailored content generation may erode user autonomy, foment emotional distress, and disproportionately endanger vulnerable groups, such as adolescents. Due to the rapid advancement of generative AI and its potential to induce severe addictionlike effects, we call for strong government oversight akin to existing controls on addictive substances, particularly for minors. We further urge the machine learning community to act proactively by establishing robust design guidelines, collaborating with public health experts, and supporting targeted policy measures to ensure responsible and ethical deployment, rather than paving the way for another wave of unregulated digital dependence.

Google's Circle to Search feature can tell you if an image was AI-generated Google's Circle to Search feature can tell you if an image was AI-generated The company is expanding SynthID to Chrome and Search. As Google introduces new models and tools for generating AI content, it's also making it a little bit easier for people to answer the question was this created with AI? The company is expanding its AI detection system SynthID so features like Circle to Search and Lens will be able to identify AI-generated and AI-edited images. SynthID is Google's homegrown watermarking system that appends invisible metadata to content created or modified with its own AI tools. Last year at I/O, the company debuted a dedicated SynthID detector and later integrated the feature into the Gemini app .