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Safety researchers continue to warn that a large volume of AI-generated explicit content is spreading unchecked, while regulators do little to meaningfully stop it.
This non-consensual content is commonly shared in text and direct messages or stored in private clouds where it’s less likely to be detected or reported, a Google co-authored study of Internet users across the United States, Australia, and the United Kingdom found this July. That’s why the “most critical intervention point” remains at the source: the harmful AI tools used to make the fake sexual images, Google researchers concluded.
Yet red-teaming in recent months suggests that as some of the leading AI image generators from Google and OpenAI become more capable, they may be getting worse at blocking explicit outputs.
The wildfires afflicting communities across the world can now be tracked more easily by anyone using Europe’s free and open satellite imagery service—all thanks to a wildfire visualization script originating from nearly a decade ago.
The Copernicus Browser provides free access to the latest satellite imagery taken by the European Space Agency’s Sentinel satellites for the European Union’s Earth observation program. The three satellites of the Sentinel-2 mission have proven especially useful for wildfire monitoring by providing multi-spectral imaging at resolutions as granular as 10 meters in visible light and near-infrared bands—and the Copernicus Browser previously offered 10 default visualization layers using different combinations of spectral bands.
Now Copernicus Browser has also added a straightforward “wildfires” visualization layer for Sentinel-2 imagery that went live on August 4. Anyone clicking on this layer while looking at a wildfire location can see active fires in white or yellow, burning vegetation in red, and burned landscapes in dark brown or black.
Google briefly allowed anyone to create AI-modified versions of satellite imagery available in Google Earth—before quickly reversing its decision as people shared examples of AI-generated pictures that illustrated the potential for misinformation and disinformation.
There is no shortage of generative AI tools that already allow people to create AI-modified images of real buildings and cities based on user prompts. But Google’s aborted attempt to incorporate its Nano Banana 2 AI image generator as a Google Earth feature made it even easier for anyone to create modified versions of authentic imagery depicting real locations—something that Google boasted about when initially promoting the new feature.
“For the first time, you can generate custom images using Google Earth’s satellite, aerial, and 3D imagery alongside Nano Banana, which creates concepts grounded in the real world,” wrote Bryan Horowitz, product manager for Google Earth, in a company blog post on July 30.
Satellite images have revealed new damage to Amazon data centers in the Middle East along with at least one crucial Saudi oil facility, following missile and drone attacks by Iran and its Houthi allies.
The images from Europe’s Copernicus Sentinel-2 satellites provide evidence of a widening war as the United States and several Gulf states exchange military strikes with Iran, the Houthi faction in Yemen, and Iran-backed militias in Iraq. Such satellite images also offer independent verification of claimed war damage, despite the US government having pressured US commercial firms and even Europe to restrict satellite imagery of the region.
Three Amazon data centers in the United Arab Emirates and Bahrain were already previously damaged by Iranian drone strikes on March 1. Those earlier attacks stuck Amazon with months of expected repairs and forced Amazon Web Services customers in the Middle East to migrate workloads to other cloud regions.
Elon Musk’s xAI is trying to sue its way out of a Grok reckoning as arrests of Grok users accused of making child sex abuse materials (CSAM) have triggered lawsuits from kids to sue xAI to force changes to the tool to block harmful outputs.
Earlier this month, xAI started suing users who are allegedly circumventing its safeguards to generate AI CSAM, seemingly hopeful that an early court win will guarantee it’s not liable for supposedly user-generated content.
For its next move, the Grok maker pointed to that lawsuit in a complaint filed Monday, accusing Minnesota of trying to force changes to Grok and Grok Imagine by enforcing a ban on nudification technology that would guarantee that xAI was liable for the harmful outputs, as well as outputs that allegedly weren’t sexualizing people without consent. According to xAI, suing a Grok user is proof that xAI is already doing everything in its power to punish bad actors, and therefore, Grok deserves safe harbor from Minnesota’s ban.
The scale of AI-generated media can be hard to grasp.
Starling Lab, a research collaboration from Stanford University and the University of Southern California, estimates that it took until 1975—149 years after the invention of the camera—for humanity to create 1.5 billion images. It took generative AI just 18 months to do the same. And AI didn't stop there.
This spring, Google announced at I/O that its tools had been used to create more than 100 billion AI images and videos in just a couple of years, and Google is far from the only source of AI content. The company coupled this staggering statistic with a slew of partnerships to expand the use of its SynthID watermarking technology, which can be used to label AI-generated content and potentially help people identify what's real.
Artist Elmer Saflor, who goes by the online handle “Superelmer,” loves that millions of people have shared his “Running Away Balloon” comic since it became a popular meme in 2017.
However, just because lots of people have copied it, that doesn’t mean it’s OK for an AI meme generator to commercialize his copyrighted meme as a template for who knows how many ads, he told Ars. That’s why he’s fighting to stop one of the biggest meme generators currently leveraging AI to rapidly scale the allegedly illegal use.
In a lawsuit filed earlier this month, Saflor, a digital creator and artist in the Philippines, alleged that Memes Apps, LCC—which operates the content creation platforms Memes.ai and Memes AI Studio—violated copyright law by selling paid subscriptions to an ad generator that spits out copies of his comic without permission.
The European Union has begun delaying the release of satellite images showing shipping lanes near the Strait of Hormuz by 24 hours. The move comes in response to an earlier US government request and coincides with the Trump administration ramping up the war with Iran once again.
The unusual change in the free and open data policy for Europe’s Copernicus Earth observation program was revealed by Space News, which reviewed a copy of the decision made by the Council of the EU on July 13. The ordered delay applies to images taken by Sentinel-1 and Sentinel-2 satellites and covers the Gulf of Oman region that includes shipping lanes leading to and from the contested Strait of Hormuz.
The US government first requested that the European Union restrict Copernicus satellite imagery on May 26, according to the decision document seen by Space News. That request occurred during a shaky ceasefire period for the war that began on April 8 and ended on July 8, when the US military resumed a broader campaign of military strikes following an announcement by President Donald Trump.
Believe it or not, there was a time when searching the web for images was not possible. Twenty-five years ago, Google launched image search, and it's celebrating by looking back at its biggest visual milestones and refreshing the experience for today's searchers. The celebration also includes expanded AI because that's just how Google rolls in 2026.
Google claims the impetus for image search a quarter-century ago was the green Versace dress Jennifer Lopez wore to the 2000 Grammy Awards. If you were alive at the time, you probably remember the one. Google engineers understood that people searching for the dress didn't want to read about it—they just wanted to see it. The company got to work building image search, launching the first version in July 2001. Twenty-five years later, it's easy to take for granted that you can search for Lopez's green dress or whatever else strikes your fancy.
Currently, going to the Google image search site shows a plain search bar for finding images. It's a refreshingly minimalist interface for the modern web. Even Google's search homepage has a smattering of AI buttons and drop-down menus. That will change when the new Google Images rolls out.
There are plenty of AI image-generation models these days, but the ones capable of quality outputs tend to be slow and expensive. Google DeepMind says its new image model, known as Nano Banana 2 Lite, offers the best balance of quality and speed. It's available today across the Google ecosystem, creating images in a fraction of the time it takes Google's beefier models.
The new model is part of the Gemini 3.1 family—it's technically called Gemini 3.1 Flash Lite Image. On one hand, Google says this model is ideal for exploring ideas and "rapid-fire" prototyping, applications in which quality can take a backseat. However, the company has also provided some examples aimed at showing how close Nano Banana 2 Lite can get to the quality of its other image models.
A comparison of Nano Banana 2 Lite with the non-Lite version.
Credit:
Google
In addition to the examples, Google also has Elo scores from Arena.ai ready to go, showing that users rate Nano Banana 2 Lite outputs almost as highly as the non-Lite versions. However, vibemarking doesn't always focus on the details that can make AI images look silly upon closer inspection. Google notes that Nano Banana 2 Lite tends to have more trouble with text, particularly if it's very small, and infographics are more likely to include incorrect data. Characters and people may also show poor consistency across iterations.
Age verification is consuming the Internet. From social media bans in Australia to porn restrictions in half of US states, for many having to prove their age to access websites is becoming an everyday requirement. But one of the key technologies underpinning many of these age checks is about to seep into the offline world—with potentially life-changing consequences for people having their age predicted by AI.
Starting next year, the British government is planning to introduce facial age estimation—where AI scans your face and suggests how old you are—to help determine the age of asylum seekers arriving at the United Kingdom’s border. The move is believed to be the first time that a so-called facial age estimation (FAE) system has been used in this way. Many asylum seekers arriving in the UK will not have documents proving their age, and if children are incorrectly classed as adults, they can be stripped of some legal protections and placed in adult-only detention centers.
An investigation by WIRED and Lighthouse Reports, in collaboration with The Independent, has obtained an internal UK government report detailing its tests of FAE technologies. It shows how the systems regularly mistake children for adults and appear to contain serious bias problems, which directly impact the largest group of migrants subject to age assessments in 2025, according to data from the Home Office. The investigation raises questions about the effectiveness of the technology and whether it should be deployed in such high-stakes scenarios.
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