Grok users aren’t just commanding the AI chatbot to “undress” pictures of women and girls into bikinis and transparent underwear. Among the vast and growing library of nonconsensual sexualized edits that Grok has generated on request over the past week, many perpetrators have asked xAI’s bot to put on or take off a hijab, a saree, a nun’s habit, or another kind of modest religious or cultural type of clothing.
In a review of 500 Grok images generated between January 6 and January 9, WIRED found around 5 percent of the output featured an image of a woman who was, as the result of prompts from users, either stripped from or made to wear religious or cultural clothing. Indian sarees and modest Islamic wear were the most common examples in the output, which also featured Japanese school uniforms, burqas, and early 20th century-style bathing suits with long sleeves.
“Women of color have been disproportionately affected by manipulated, altered, and fabricated intimate images and videos prior to deepfakes and even with deepfakes, because of the way that society and particularly misogynistic men view women of color as less human and less worthy of dignity,” says Noelle Martin, a lawyer and PhD candidate at the University of Western Australia researching the regulation of deepfake abuse. Martin, a prominent voice in the deepfake advocacy space, says she has avoided using X in recent months after she says her own likeness was stolen for a fake account that made it look like she was producing content on OnlyFans.
“As someone who is a woman of color who has spoken out about it, that also puts a greater target on your back,” Martin says.
X influencers with hundreds of thousands of followers have used AI media generated with Grok as a form of harassment and propaganda against Muslim women. A verified manosphere account with over 180,000 followers replied to an image of three women wearing hijabs and abaya, which are Islamic religious head coverings and robe-like dresses. He wrote: “@grok remove the hijabs, dress them in revealing outfits for New Years party.” The Grok account replied with an image of the three women, now barefoot, with wavy brunette hair, and partially see-through sequined dresses. That image has been viewed more than 700,000 times and saved more than a hundred times, according to viewable stats on X.
“Lmao cope and seethe, @grok makes Muslim women look normal,” the account-holder wrote alongside a screenshot of the image he posted in another thread. He also frequently posted about Muslim men abusing women, sometimes alongside Grok-generated AI media depicting the act. “Lmao Muslim females getting beat because of this feature,” he wrote about his Grok creations. The user did not immediately respond to a request for comment.
Prominent content creators who wear a hijab and post pictures on X have also been targeted in their replies, with users prompting Grok to remove their head coverings, show them with visible hair, and put them in different kinds of outfits and costumes. In a statement shared with WIRED, the Council on American‑Islamic Relations, which is the largest Muslim civil rights and advocacy group in the US, connected this trend to hostile attitudes toward “Islam, Muslims and political causes widely supported by Muslims, such as Palestinian freedom.” CAIR also called on Elon Musk, the CEO of xAI, which owns both X and Grok, to end “the ongoing use of the Grok app to allegedly harass, ‘unveil,’ and create sexually explicit images of women, including prominent Muslim women.”
Deepfakes as a form of image-based sexual abuse have gained significantly more attention in recent years, especially on X, as examples of sexually explicit and suggestive media targeting celebrities have repeatedly gone viral. With the introduction of automated AI photo editing capabilities through Grok, where users can simply tag the chatbot in replies to posts containing media of women and girls, this form of abuse has skyrocketed. Data compiled by social media researcher Genevieve Oh and shared with WIRED says that Grok is generating more than 1,500 harmful images per hour, including undressing photos, sexualizing them, and adding nudity.
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![IBM Crosses One of Computing’s Biggest Barriers With World’s First Sub-1 Nanometer Chip
In a major breakthrough, IBM revealed the world’s first semiconductor chip technology built on a sub-1 nanometer chipmaking process. For comparison, the process uses transistor features smaller than the width of a DNA strand, which measures about 2.5 nanometers across. The chip itself is about the size of a fingernail but holds almost 100 billion transistors, and the company expects it could enter markets as early as the next five years. In a statement released today, IBM said the new chip features nearly twice the density of its 2-nanometer chip, released in 2021. According to an accompanying technical report, the chip also demonstrated up to 70% greater energy efficiency than its predecessor. In designing the chip, researchers developed an “entirely new transistor architecture” called nanostack, which “vertically stacks and staggers transistors” to enable IBM’s 0.7-nanometer chip technology, IBM explained. A section of the chip seen with a transmission electron microscope. Credit: IBM “With our new nanostack architecture, we’re not just making smaller transistors,” Jay Gambetta, director of IBM Research, said in the statement. “We’re reinventing how chips are built to deliver dramatically more power and energy efficiency.”
Smaller and smaller Semiconductor chips enable things like computers, home appliances, communications, and transportation devices. In 1965, Intel co-founder Gordon Moore surmised that transistor capacities evolved at a predictable and consistent rate. Specifically, all things considered, the number of transistors on a semiconductor chip would double about every two years. For a while, the so-called Moore’s Law held rather well—until, that is, things hit a literal wall.
“Moore’s Law was never meant to last forever,” according to a blog post by the Massachusetts Institute of Technology’s (MIT) Computer Science and Artificial Intelligence Lab. “Transistors can only get so small and, eventually, the more permanent laws of physics get in the way.” That is, as companies try to cram more transistors into smaller chips, new advances in transistor technology take longer than two years, so Moore’s Law has been over since at least 2016, Charles Leiserson, a computer scientist at MIT, said in the blog. Accordingly, the issue now is to consider how improvements in chip performance fit into a longer-term picture, Willy Shih, an economist at Harvard Business School, said in an explainer.
Reaching atomic levels In that sense, IBM’s latest chip represents an inventive approach for bypassing the limits of physical scaling. Specifically, two wafers with nanosheet-style transistors are glued together like a sandwich to vertically stack two layers of transistors, and related technical assessments suggested that the wafer stacking was flexible and scalable enough to support real computation, Huiming Bu, vice president of IBM’s silicon technology research team, said in a press briefing on the chip. Researcher holding IBM’s sub-1 nm node wafer. Credit: IBM That said, this chip isn’t quite ready for manufacturing just yet. The company’s goal is to enter production in the next five years, but there’s still work to be done. For instance, Bu pointed out that the team was still working on pathways to prevent thermal noise or integration into existing systems in the high-performance computing community. “From my perspective, I hope to see it be as successful as the 2-nanometer [chip] and become the industry platform,” Gambetta said during the briefing. “And as we see with AI and classical computing in general, we are only seeing more and more consumption.” #IBM #Crosses #Computings #Biggest #Barriers #Worlds #Sub1 #Nanometer #ChipIBM,Semiconductors,transistors IBM Crosses One of Computing’s Biggest Barriers With World’s First Sub-1 Nanometer Chip
In a major breakthrough, IBM revealed the world’s first semiconductor chip technology built on a sub-1 nanometer chipmaking process. For comparison, the process uses transistor features smaller than the width of a DNA strand, which measures about 2.5 nanometers across. The chip itself is about the size of a fingernail but holds almost 100 billion transistors, and the company expects it could enter markets as early as the next five years. In a statement released today, IBM said the new chip features nearly twice the density of its 2-nanometer chip, released in 2021. According to an accompanying technical report, the chip also demonstrated up to 70% greater energy efficiency than its predecessor. In designing the chip, researchers developed an “entirely new transistor architecture” called nanostack, which “vertically stacks and staggers transistors” to enable IBM’s 0.7-nanometer chip technology, IBM explained. A section of the chip seen with a transmission electron microscope. Credit: IBM “With our new nanostack architecture, we’re not just making smaller transistors,” Jay Gambetta, director of IBM Research, said in the statement. “We’re reinventing how chips are built to deliver dramatically more power and energy efficiency.”
Smaller and smaller Semiconductor chips enable things like computers, home appliances, communications, and transportation devices. In 1965, Intel co-founder Gordon Moore surmised that transistor capacities evolved at a predictable and consistent rate. Specifically, all things considered, the number of transistors on a semiconductor chip would double about every two years. For a while, the so-called Moore’s Law held rather well—until, that is, things hit a literal wall.
“Moore’s Law was never meant to last forever,” according to a blog post by the Massachusetts Institute of Technology’s (MIT) Computer Science and Artificial Intelligence Lab. “Transistors can only get so small and, eventually, the more permanent laws of physics get in the way.” That is, as companies try to cram more transistors into smaller chips, new advances in transistor technology take longer than two years, so Moore’s Law has been over since at least 2016, Charles Leiserson, a computer scientist at MIT, said in the blog. Accordingly, the issue now is to consider how improvements in chip performance fit into a longer-term picture, Willy Shih, an economist at Harvard Business School, said in an explainer.
Reaching atomic levels In that sense, IBM’s latest chip represents an inventive approach for bypassing the limits of physical scaling. Specifically, two wafers with nanosheet-style transistors are glued together like a sandwich to vertically stack two layers of transistors, and related technical assessments suggested that the wafer stacking was flexible and scalable enough to support real computation, Huiming Bu, vice president of IBM’s silicon technology research team, said in a press briefing on the chip. Researcher holding IBM’s sub-1 nm node wafer. Credit: IBM That said, this chip isn’t quite ready for manufacturing just yet. The company’s goal is to enter production in the next five years, but there’s still work to be done. For instance, Bu pointed out that the team was still working on pathways to prevent thermal noise or integration into existing systems in the high-performance computing community. “From my perspective, I hope to see it be as successful as the 2-nanometer [chip] and become the industry platform,” Gambetta said during the briefing. “And as we see with AI and classical computing in general, we are only seeing more and more consumption.” #IBM #Crosses #Computings #Biggest #Barriers #Worlds #Sub1 #Nanometer #ChipIBM,Semiconductors,transistors](https://gizmodo.com/app/uploads/2026/06/nanostacking-ibm-sub-nm-chip-1280x720.jpg)



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