A Reddit moderator known as “KlammereFyr” was recently convicted by a Danish court after clipping and posting hundreds of nude scenes that actresses filmed for movies and TV shows but apparently never expected to be shared out of context.

As TorrentFreak reported , dozens of actresses had complained about the mod’s sub-reddit, “SeDetForPlottet” (WatchItForthePlot), with some feeling “molested or abused.”

Demanding Danish police put an end to the forum, the Rights Alliance—representing the Danish Actors’ Association, two broadcasters, and other rightsholders—pushed for a criminal probe.

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A Senate Republican has drafted legislation that would effectively cut a $42 billion broadband deployment program in half.

The bill would complement the Trump administration overhaul of the $42.45 billion Broadband Equity, Access, and Deployment (BEAD) program. The administration required states to rewrite their grant plans, reducing the overall projected spending and diverting some of the money from fiber projects to satellite .

The result is that over $21 billion is projected to be left over after money is allocated to projects that expand broadband access. Current US law allows nondeployment funds to be used for other broadband-related purposes, like providing Wi-Fi and Internet-capable devices to US residents. But a draft bill by Sen. Joni Ernst (R-Iowa) would change the law to redirect all the remaining money to the US Treasury for deficit reduction.

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We’re running out of ways to tell you that Google is releasing more generative AI features, but that’s what’s happening in Google Photos today. The Big G is finally making good on its promise to add its market-leading Nano Banana image-editing model to the app. The model powers a couple of features, and it’s not just for Google’s Android platform. Nano Banana edits are also coming to the iOS version of the app.

Nano Banana started making waves when it appeared earlier this year as an unbranded demo. You simply feed the model an image and tell it what edits you want to see. Google said Nano Banana was destined for the Photos app back in October , but it’s only now beginning the rollout. The Photos app already had conversational editing in the “Help Me Edit” feature, but it was running an older non-fruit model that produced inferior results. Nano Banana editing will produce AI slop, yes, but it’s better slop.

Google says the updated Help Me Edit feature has access to your private face groups, so you can use names in your instructions. For example, you could type “Remove Riley’s sunglasses,” and Nano Banana will identify Riley in the photo (assuming you have a person of that name saved) and make the edit without further instructions. You can also ask for more fantastical edits in Help Me Edit, changing the style of the image from top to bottom.

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Amid what one judge called an “epidemic” of fake AI-generated case citations bogging down courts, some common excuses are emerging from lawyers hoping to dodge the most severe sanctions for filings deemed misleading.

Using a database compiled by french lawyer and AI researcher Damien Charlotin, Ars reviewed 23 cases where lawyers were sanctioned for AI hallucinations. In many, judges noted that the simplest path to avoid or diminish sanctions was to admit that AI was used as soon as it’s detected, act humble, self-report the error to relevant legal associations, and voluntarily take classes on AI and law. But not every lawyer takes the path of least resistance, Ars’ review found, with many instead offering excuses that no judge found credible. Some even lie about their AI use, judges concluded.

Since 2023—when fake AI citations started being publicized—the most popular excuse has been that the lawyer didn’t know AI was used to draft a filing.

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Pirelli’s sensor-embedded Cyber Tire is starting to find a whole new niche helping traffic agencies. When we first learned of the smart tire, it was making its debut fitted to McLaren’s then-new plug-in hybrid supercar. As an alternative to a tire pressure monitoring system fitted to the car’s wheels, the Cyber Tire wirelessly reports its temperature and pressure to its car via Bluetooth Low Energy, along with some specific information about the tire itself.

Since then, Pirelli has continued to develop the technology. When it created Cyber Tires for the Pagani Utopia, it allowed a car to tailor its antilock braking and electronic stability control to the specific rubber fitted to the wheels. Right now, a car’s ABS or ESC will be tuned regardless of the tires it’s fitted to.

But a high-performance summer tire acts quite differently from a winter tire, not just because of the composition of the rubber but also due to the tread pattern, depth, and stiffness, not to mention factors like sidewall stiffness. And the Utopia can take advantage of that fact.

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Over the past year, scammers have ramped up a new way to infect the computers of unsuspecting people. The increasingly common method, which many potential targets have yet to learn of, is quick, bypasses most endpoint protections, and works against both macOS and Windows users.

ClickFix often starts with an email sent from a hotel that the target has a pending registration with and references the correct registration information. In other cases, ClickFix attacks begin with a WhatsApp message. In still other cases, the user receives the URL at the top of Google results for a search query. Once the mark accesses the malicious site referenced, it presents a CAPTCHA challenge or other pretext requiring user confirmation. The user receives an instruction to copy a string of text, open a terminal window, paste it in, and press Enter.

One line is all it takes

Once entered, the string of text causes the PC or Mac to surreptitiously visit a scammer-controlled server and download malware. Then, the machine automatically installs it—all with no indication to the target. With that, users are infected, usually with credential-stealing malware. Security firms say ClickFix campaigns have run rampant. The lack of awareness of the technique, combined with the links also coming from known addresses or in search results, and the ability to bypass some endpoint protections are all factors driving the growth.

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During an earnings call on Monday, Rocket Lab chief executive Pete Beck announced that the company’s medium-lift launch vehicle, Neutron, would not launch this year.

For anyone with the slightest understanding of the challenges involved in bringing a new rocket to the launch pad, as well as a calendar, the delay does not come as a surprise. Although Rocket Lab had been holding on to the possibility of launching Neutron this year publicly, it has been clear for months that a slip into 2026 was inevitable.

According to Beck, speaking during a third-quarter 2025 earnings call, the new timeline has the company bringing Neutron to Launch Complex 2 at Wallops Flight Facility in Virginia during the first quarter of next year. The first launch is scheduled to occur “thereafter,” according to the company’s plans.

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Intuitive Machines announced last week an $800 million acquisition that will catapult the one-time startup into the space industry establishment.

The company’s planned purchase of Lanteris Space Systems, a satellite manufacturer you may have never heard of, is rather significant. Lanteris is the latest addition to a line of corporate brands that dates back to 1957. Until last month, the company was known as Maxar Space Systems. Its acquisition by Intuitive Machines would be perhaps the industry’s most evident example of a “New Space” firm buying up an “Old Space” company.

The deal would help Intuitive Machines expand beyond its core competency of Moon missions to the broader sector of satellite manufacturing and space services. Lanteris has been owned since 2023 by Advent International, a private equity firm. The transaction is expected to close early next year, subject to “customary regulatory approvals and closing conditions,” according to Intuitive Machines.

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When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or passages from books) and reasoning (solving new problems using general principles). New research from AI startup Goodfire.ai provides the first potentially clear evidence that these different functions actually work through completely separate neural pathways in the model’s architecture.

The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they described that when they removed the memorization pathways, models lost 97 percent of their ability to recite training data verbatim but kept nearly all their “logical reasoning” ability intact.

For example, at layer 22 in Allen Institute for AI’s OLMo-7B language model, the bottom 50 percent of weight components showed 23 percent higher activation on memorized data, while the top 10 percent showed 26 percent higher activation on general, non-memorized text. This mechanistic split enabled the researchers to surgically remove memorization while preserving other capabilities.

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