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X claims it has stopped Grok from undressing people, but of course it hasn’t

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X claims it has stopped Grok from undressing people, but of course it hasn’t

Updates to [@]Grok Account

We have implemented technological measures to prevent the Grok account from allowing the editing of images of real people in revealing clothing such as bikinis. This restriction applies to all users, including paid subscribers.

Additionally, image creation and the ability to edit images via the Grok account on the X platform are now only available to paid subscribers. This adds an extra layer of protection by helping to ensure that individuals who attempt to abuse the Grok account to violate the law or our policies can be held accountable.

Geoblock update

We now geoblock the ability of all users to generate images of real people in bikinis, underwear, and similar attire via the Grok account and in Grok in X in those jurisdictions where it’s illegal.

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All the latest in AI ‘music’

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All the latest in AI ‘music’
People don’t like that they can’t identify AI music. | Image: Cath Virginia / The Verge

AI has touched every part of the music industry, from sample sourcing and demo recording, to serving up digital liner notes and building playlists. There are technical and legal challenges, fierce ethical debates, and fears that the slop will simply crush working musicians through sheer volume. Is it art or just an output? What exactly is “really active“? Whether it’s a new model or a new lawsuit, we’re covering it all to make sure you don’t miss any major developments.

So follow along as we dig into the latest in AI “music.”

  • Suno leans into customization with v5.5
  • The music industry has embraced a “don’t ask, don’t tell” policy about AI.
  • North Carolina man pleads guilty to AI music streaming fraud.
  • Apple Music adds optional labels for AI songs and visuals
  • Qobuz is automatically detecting and labeling AI music now, too.
  • This Chainsmokers-approved AI music producer is joining Google
  • Google’s AI music maker is coming to the Gemini app
  • Deezer opens its AI music detection tool to other platforms
  • ElevenLabs made an AI album to plug its music generator
  • Bandcamp becomes the first major music platform to ban AI content
  • Universal Music signs a new AI deal with Nvidia
  • Musicians are getting really tired of this AI clone ‘bullshit’
  • Get ready for an AI country music explosion
  • 97 percent of people struggle to identify AI music, but it’s not as bad as it seems
  • Warner Music Group partners with Suno to offer AI likenesses of its artists
  • The music industry is all in on AI
  • No, typing an AI prompt is not ‘really active’ music creation
  • Suno valued at $2.45 billion in latest funding round as lawsuits loom.
  • The human behind AI music artist Xania Monet, revealed.
  • Suno’s upgraded AI music generator is technically impressive, but still soulless
  • What happens when an AI-generated artist gets a record deal? A copyright mess
  • Record labels claim AI generator Suno illegally ripped their songs from YouTube
  • Can the music industry make AI the next Napster?
  • AI music company Suno acquired a browser-based audio editing tool called WavTool.
  • The music industry is building the tech to hunt down AI songs
  • Sabotaging AI music with sick beats.
  • YouTube’s new AI tool generates free background music for videos
  • Splice CEO Kakul Srivastava on where to draw hard lines around AI in music
  • Making human music in an AI world
  • AI music startups say copyright violation is just rock and roll
  • The music industry’s AI fight
  • Listen to the AI songs music labels say violate their copyright.
  • Warner Music Group’s CEO says we might see AI prompt-generated music really soon.
  • AI-generated music isn’t just a copyright hazard.
  • How AI is solving one of music’s most expensive problems
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Are robots coming to a McDonald’s near you?

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Are robots coming to a McDonald’s near you?

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Walk into a McDonald’s, and you expect a familiar routine. You order, wait and grab your food. At one location in Shanghai, that routine briefly looked very different.

McDonald’s deployed robots from Chinese robotics firm Keenon Robotics in one of its fast-food restaurants as part of a short-term test tied to a store opening. The robots greeted customers, added a bit of entertainment and helped with simple service tasks.

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Humanoid and service robots from Keenon Robotics line up outside a McDonald’s in Shanghai, highlighting the mix of experimental machines used in the short-term test. (Keenon Robotics)

What actually happened at this McDonald’s in Shanghai

This test happened at just one location. It was not a rollout. It was a short pilot tied to a store opening. Inside the restaurant, humanoid robots greeted customers and added a fun, interactive element. You can see them wearing McDonald’s uniforms and making simple gestures for diners. At the same time, other robots handled basic tasks like delivering food and clearing trays. It was a mix of different machines working together, not a fully integrated system.

Human workers still did the real work behind the counter. They handled cooking, orders and anything that required judgment.

In the end, this looked more like a live demo than a real shift in operations. The robots were there to attract attention, not replace staff.

Why McDonald’s is experimenting with robots

Even though this was a small test, it reflects a much bigger trend. Restaurants in many regions are dealing with hiring challenges. At the same time, fewer workers are interested in repetitive, lower-paid roles. That creates an opportunity for automation. Robots can handle simple, repetitive tasks with consistency. They do not get tired, and they can operate for long hours. For fast-food chains, that level of reliability is appealing. At this stage, the technology is not advanced enough to replace human workers. But it can support them in limited ways.

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Are robot workers the future of fast food?

Not yet. This test was more about exploring possibilities than changing operations. The robots acted more like a demonstration of what could come next rather than a working solution ready for scale. Right now, the most realistic future is a hybrid model. Humans continue to handle cooking, customer issues and complex tasks. Robots assist with basic service and customer-facing roles. That balance could evolve over time as the technology improves.

Why robot tests matter for the future of fast food

Even short-term experiments can signal where things are headed. Robots can speed up service, reduce long-term labor costs and create a unique experience that attracts customers. For families and younger diners, interacting with a robot can turn a routine visit into something memorable. That novelty factor alone makes these tests valuable for companies looking to stand out.

ROBOT FIREFIGHTERS ENTER BURNING BUILDINGS FIRST

A humanoid robot greets a customer at the counter, showing how the machines were used to create an interactive, front-of-house experience. (Keenon Robotics)

Why fast food automation is still in the early stages

Today’s robots are limited. They struggle with complex tasks and unpredictable situations that require human judgment. Cooking, handling special requests and managing busy environments still depend on people. That is why this test remained small and temporary. It shows potential, but it also highlights how far the technology still has to go.

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What this means to you

You are not about to walk into a fully automated McDonald’s. But you may start seeing more technology in everyday places. That could mean faster service and fewer delays. It could also mean less direct interaction with human staff. Jobs in fast food are unlikely to disappear overnight. Instead, they may shift toward roles that focus on customer support, problem-solving and managing technology. At the same time, these early tests raise questions about how far automation will go and how quickly it could change the workforce.

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A humanoid robot dressed as a chef stands on display, underscoring how the test leaned more toward demonstration and entertainment than real kitchen operations. (Keenon Robotics)

Kurt’s key takeaways

This was not a rollout. It was a glimpse. McDonald’s used humanoid robots in one location for a short period to test reactions and explore possibilities. The machines added novelty, but they did not replace workers. Still, the direction is clear. Automation is moving into everyday spaces, one small test at a time.

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If robots can already greet you and deliver your food, how long before they take on the rest of the job? Let us know by writing to us at Cyberguy.com

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Red Rooms makes online poker as thrilling as its serial killer

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Red Rooms makes online poker as thrilling as its serial killer

It’s rare for a movie to get technology right. And it’s even rarer for that movie to be a thriller or horror, where realism takes a backseat to scares and tension. But Red Rooms mostly gets it. Nothing takes me out of a film quicker than a tech MacGuffin that might as well be literal magic. Yes, the phrase “dark web” will always sound a bit silly, but at no point during its 118 minutes does the tech become a distraction.

It’s not the tech that makes Red Rooms great, though. It’s just something that could have easily tanked an otherwise excellent movie. What carries the film is the expert tension building by director Pascal Plante. The perfect slow-burn pacing. And the incredible performances by Juliette Gariépy as Kelly-Anne and Laurie Babin as Clementine.

The film centers mostly on Kelly-Anne, a model / hacker / professional gambler who attends the trial of serial killer Ludovic Chevalier. She befriends Clementine, a fan of Chevalier who insists that he is being framed.

Clementine neurotically and loudly defends Chevalier, calling into TV shows and shouting at reporters outside the courtroom. She makes a spectacle of herself. But Kelly-Anne remains more mysterious, her motives unclear. Even at the end of the film, there is ambiguity about what she was trying to accomplish and why.

The ambiguity is part of what makes Red Rooms so enthralling. The movie feels unpredictable. None of the characters seem trustworthy or relatable. The world they inhabit is familiar, yet uncanny.

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The movie lingers in that discomfort for long periods of time, making you squirm. Giving you the opportunity to play through all the possible scenarios that could play out in your head. Is Chevalier really the killer? Is Kelly-Anne the killer? Was one of the victim’s mothers an accomplice? Is the prosecutor keeping a secret?

The movie inches along, drawing out a tale of kidnapping, live-streamed torture, and snuff films before erupting into a climax that unexpectedly mines online poker and Bitcoin for legitimate drama. It’s ultimately less about the murders themselves than it is about obsession, internet bubbles, and the media. It almost feels like a grimier companion piece to David Fincher’s Gone Girl.

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