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Musk’s biggest loyalist became his biggest liability

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Musk’s biggest loyalist became his biggest liability

I sat down in the Musk v. Altman trial courtroom today, painfully aware that no one was going to ask Shivon Zilis the question on everyone’s minds: Girl, what the fuck are you doing?

Zilis, who testified under oath that she is the mother of four of Musk’s children, was… what’s the best way to characterize this? A Musk advisor? She denies she was a “chief of staff” but says she worked for Musk’s “entire AI portfolio: Tesla, Neuralink, and OpenAI” starting in 2017. The two met through OpenAI, and they had what she referred to as a “one off” before becoming “friends and colleagues.” The “one off,” she confirmed, was “romantic in nature.”

Her job under Musk was “to go find bottlenecks and solve them,” and she claims to have worked 80 to 100 hours a week doing that. “It was just bananas,” she said. Her first two children by Musk — twins — were born in 2021, while Zilis was serving on OpenAI’s board. She kept this a secret. She did not tell the board who the father was until Business Insider reported on court documents that listed Musk as the father.

“My first call was to my dad,” said Zilis, who testified that even her own family didn’t know the children’s paternity. “The call right after that was to Sam Altman.” Greg Brockman, OpenAI’s president, had testified he found out about Zillis’ children from news reports. When he talked to her about it, she claimed her relationship with Musk was “platonic” and that she’d had kids via IVF. This was reassurance enough for Brockman, who’d been friends with her since 2013. She remained on the board.

On the stand, Zilis spoke softly and quickly. She seemed mousy. A significant part of what made her testimony so bad for Musk was that she appeared to be the only person taking notes on what Brockman, Altman, Ilya Sutsekever, and Musk were discussing when the cofounders considered their options for creating a for-profit arm of OpenAI. She also was “aiding and facilitating communication between the principal parties.” Those notes are the trial’s most important evidence — more important, even, than Brockman’s diary.

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The goal of the direct testimony seemed to be to take the sting out of what Zilis and the plaintiff’s lawyers had to know was coming. So she told the court that her role also meant telling Altman when Musk was “in a good headspace” for a conversation — perhaps inadvertently strengthening Brockman’s testimony yesterday that at one point he feared Musk would physically attack him —while vehemently denying that she funneled information to Musk.

Look, she and Musk testified they lived together and have a romantic relationship and four kids. She was originally a plaintiff in the suit. She kept her children’s paternity secret from her own father. All of those things would be reason enough to doubt her testimony about thinking OpenAI betrayed its mission during the chaos when Altman was fired by the board. She claimed that Microsoft CEO Satya Nadella said something to the effect of “we are above them, we are below them, we are around them” during that chaotic period as being “terrifying.” (The quote was “We are below them, above them, around them.”)

But the notes are really what did Musk’s case in. Try as she might, Zilis couldn’t explain them away.

There were a lot of ideas batted around in 2017 and 2018. We saw a lot of Zilis’ emails from that period. Notably in one, an option was “switch to for profit in next couple of weeks (woah fast!).” Another email noted that a “complete non-negotiable” for Altman, Brockman and Sutskever “is an ironclad agreement to not have Elon (or anyone) have absolutely [sic] control of AGI they create.” In another she wrote to Musk money manager Jared Birchall, “They say they will not move forward without a guarantee to switch away from him having control. You and I can argue that’s stupid all we want but they are holding firm on it.”

“If he hung around E perhaps it would force him to think about humanity more”

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Zilis also knew about Musk halting donations before OpenAI did. On August 20, 2017, she wrote, “Funding freeze: OpenAI is likely to realize this week that their $5M in Q3 is, albeit correctly, on hold. Unsure how this will impact negotiations but wanted to flag it since it’s likely to have a big psychological impact on them if they find out.” Musk told Brockman and Sutskever over a week later, on September 1st, that he’d pulled funding.

There were other machinations:

  • At one point, Musk seemed to have suggested that she, Sam Teller, and Birchall — two of Musk’s closest fixers — should all take seats on OpenAI’s board so that Musk would have control of the nonprofit. Zilis wrote to Teller that she didn’t share that with the OpenAI team.
  • In November 2017, Musk was thinking of creating a “world-class AI lab” inside Tesla. To that end, Musk offered Altman a board seat at Tesla.
  • Zilis wrote an email to Musk saying that to save him time she’d brainstormed some solutions for him. Three of them involved developing AGI at Tesla. One was making OpenAI a public benefit corporation subsidiary of Tesla. One was getting Altman as an “anchor” for TeslaAI.
  • My favorite of those solutions was: “Find a way to get Demis. Seriously…. Demis really does fanboy hard and I don’t think he’s immoral… just amoral. If he hung around E perhaps it would force him to think about humanity more.”
  • After hiring Andrej Karpathy, Musk asked for a list of top OpenAI people to poach.

We had already seen one of her text messages in the docket — the one where Musk leaves the board and she asks him whether she should remain “close and friendly” to continue funneling him information. In her direct testimony, she tried to put that in the context: “They were going through this weird half-breakup,” she said. But in the cross, we found out that she didn’t remember that in her deposition.

“Your long-lost memories have been recovered,” said Sarah Eddy, the OpenAI attorney, in one of the trial’s funnier moments. Sure, Musk’s team objected and the objection was sustained, but we all heard it. In fact, it was one of several times Zilis seemed to have recovered memories she didn’t have at her deposition, memories that — coincidentally I’m sure — happened to be good for Musk’s case.

To be fair, Zilis performed the best under cross examination of anyone we’ve seen so far, but she doesn’t exactly come across as truthful. And there was even more reason to be skeptical of her when we discovered how she left the board, which — according to her deposition — happened “because I picked up a call from Sam and he said, ‘I’ve heard Elon is starting a competitive venture’ and I said, ‘Well if that’s true, this is the time to resign.’”

Her primary allegiance was and is to Musk

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Mysteriously, she had forgotten that call between the deposition and today. But she did seem to know that Musk was moving on AI when she texted a friend, who was in her phone as “Shahini Rubicon Fluffer.” (Incredible name. Thomas Pynchon will be so jealous.) “Have to resign OpenAI board btw,” she wrote. “E’s effort has become well-known.” Her friend didn’t seem surprised by the revelation. Zilis went on: “When the father of your babies starts a competitive effort and will recruit out of OpenAI there is nothing to be done.”

Zilis added that Musk “proactively apologized that he had pruned my friend network through this.”

Here’s what it added up to, as far as I am concerned: Her primary allegiance was and is to Musk. To believe she didn’t know about xAI, I would have to believe that despite their — at the time — three children and the time he spent with them every week, he never discussed it with her. I don’t believe that. Who would? There’s enough evidence in her meeting notes to suggest she routinely held back information from OpenAI on Musk’s behalf — xAI would be no different. I also don’t believe that she didn’t give Musk information about the Microsoft deals she approved while sitting on OpenAI’s board.

Musk didn’t have a problem converting the whole of OpenAI to a for-profit or kneecapping the charity by recruiting its strongest researchers. He didn’t mind the idea of subsuming it into Tesla in any of a variety of ways. The thing he did mind was not being in control of it. That’s what I took away from Zilis’ texts and emails.

Brockman and the OpenAI board were incredibly naive to allow Zilis to continue working there after learning of her twins’ paternity. But then, maybe no one expected someone so meek to be so devious. She was smart enough not to raise her voice or nitpick obvious questions during her cross-examination, so her bearing read as more trustworthy than anyone we’ve seen yet. It’s just that the overall takeaway from her written communications is that she’s put Musk first in her life. Everyone else — including, apparently, her own father — comes second. So on the stand, you might as well assume she’s saying what Musk wants to hear too.

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New AI brain lets robots move like humans

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New AI brain lets robots move like humans

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Genesis AI, a global full-stack robotics company, has unveiled GENE-26.5, a robotic brain designed to help general-purpose robots perform complex physical tasks with human-level manipulation.

The company says the system pairs a robotics foundation model with a human-scale dexterous robotic hand. It also includes a new data engine. Together, these pieces help robots learn from human movement and handle tasks that require precision and coordination.

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ROBOTS LEARN 1,000 TASKS IN ONE DAY FROM A SINGLE DEMO

Genesis AI says its robotic hand can learn from human motion data to complete detailed, multistep tasks such as cooking an omelet. (Genesis AI)

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What is GENE-26.5 and why it matters

Theo Gervet, co-founder and president of Genesis AI, says the easiest way to understand GENE-26.5 is to think of it as the system guiding the robot’s actions.

“Think of GENE-26.5 like a robotic brain that takes in information and tells the robot what to do,” Gervet said. “It is the industry’s most advanced robotic brain, with the most advanced capabilities. We’ve proven this by releasing a few videos showing GENE-26.5 powering the most complex tasks ever performed by robots.”

He says that matters because most robots still struggle with detailed hand movements. They often repeat one task in a controlled setting, but real life is less predictable.

“We’ve developed a way to feed GENE-26.5 massive amounts of data about how human hands move, so it can tell our robotic hands exactly how to move like a human’s hands,” Gervet said. “GENE-26.5 can also tell our robotic hands how to do tasks with many, many steps.”

He pointed to a cooking example to show the difference. “For example, powered by GENE-26.5, our robotic hands can follow a 20-step process to make a full omelet from start to finish,” Gervet said.

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“That’s why we’re obsessed with innovating across the full-stack, from AI to hardware. By controlling every layer, we can build a cohesive system and solve the problem holistically. Our approach gives us a huge competitive advantage by harnessing unprecedented amounts of data, as that ultimately defines what foundation models can achieve.”

How the AI brain helps robots move like humans

Human hands constantly adjust, even during simple actions. That level of control has been hard for robots to replicate. To explain, Gervet used a Rubik’s Cube as an example. “Imagine you’re playing with a Rubik’s Cube. You have to hold it with the perfect grip strength. If you grip it too loosely, you’ll drop it.”

He said people make small adjustments without noticing. “You may not even realize it, but your brain is taking notice of how the cube feels. Even if you’re just holding the cube, your hands are never perfectly still.”

Those small movements are constant. “They’re constantly making micro adjustments to make sure the cube doesn’t slip and stays balanced,” he said. “It takes a lot of complicated, intentional and coordinated movements that involve over 20 joints in your fingers, knuckles and wrists. Our robotic hands can do exactly that.”

How Genesis AI trains robots using human data

Genesis AI built a robotic hand that mirrors the human hand in form and function. It pairs with a glove that captures motion and pressure. “The glove system helps us directly transfer information about how human hands move to our robot hands,” Gervet said.

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He explained how the system captures detail. “When a human wears the gloves as they interact with objects or do their work, we can capture details about the exact movements their fingers and wrists make. Our robotic hands are built to exactly match a human’s hands, so that data works extremely well.”

Genesis AI says the glove is 100 times cheaper than typical options. It has also shown up to five times greater data collection efficiency compared with traditional methods.

AI VIDEO TECH FAST-TRACKS HUMANOID ROBOT TRAINING

Genesis AI unveiled GENE-26.5, a robotic brain designed to help general-purpose robots perform complex physical tasks with humanlike precision. (Genesis AI)

Why robots struggled before this AI brain

Robots have lacked usable training data for physical tasks. “Robots have always had a data problem,” Gervet said. “When you think about the AI chatbots you use on your computer, they have the entire internet to access.”

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Robots did not have that advantage. “The big problem comes from the fact that unless the robot’s hand exactly matches a human’s hand, any information you capture about how human hands move won’t translate well,” Gervet said.

He said matching the human hand solves that gap. “We’ve solved this problem by creating a robotic hand that exactly matches a human hand.”

How video and simulation improve robot learning

Genesis AI also uses other sources of data to train its system. “In addition to data from the glove, we use videos from humans wearing camera headbands so we can see how their hands move,” Gervet said. “We also use massive amounts of internet videos.”

The company says its simulation system is a major accelerator, allowing AI to train itself in a fully virtual environment before moving into the real world. This helps teams test and improve systems much faster than traditional physical testing, which can be slow and expensive. 

Where robots with AI brains could be used first

For now, Genesis AI expects the first use cases to be in workplaces such as warehouses and manufacturing facilities. “We see our technology being used in industrial settings to start and then later in the home,” Gervet said.

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He described a phased rollout. “To start, it can be deployed for industrial use in warehouses and for manufacturing logistics. We’re already having conversations with industrial customers.”

After that, the technology could expand further. “After the industrial phase, we’ll offer our technology to the service industry. Next, it can be offered to consumers in their homes.” Gervet went on to say that “In addition, we’re hoping that in a home setting, our technology will be able to help handle daily chores, freeing up time for people to spend doing what they actually enjoy. Robots have been humans’ biggest fantasy for years. This is our collective hope, and we want to be the company to get us there.”

ROBOTS PERFORM LIKE HUMAN SURGEONS BY JUST WATCHING VIDEOS

The company says its glove-based data system captures finger, wrist and pressure movements to train robots more efficiently. (Genesis AI)

How safety is built into the technology 

Gervet says safety testing is a core part of development. “Our technology goes through extensive testing and validation, first in simulation running millions of scenarios, then in controlled real-world environments,” he said. “It has to earn its way into the room.”

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He added that the company also follows established safety standards and industry regulations designed to govern how robots operate around people. 

He went on to say the company is currently showcasing individual components, including the robotic brain, robotic hands and data collection system and plans to unveil a full general-purpose robot that brings everything together. Early, small-scale deployments with select partners could begin later this year.

What this AI brain means for you

This technology will likely show up first in places like warehouses, factories and service environments where the work is repetitive or physically demanding. Gervet says, “In the future, we see our technology being able to fill some of the critical labor gaps there are today. Our hope is that this will increase productivity, while creating space for people to focus on meaningful, creative and high-value work.”

Over time, that could change. Robots that can use the same tools as people may fit into existing spaces more easily, without needing everything redesigned around them.

“The beauty of the technology is that it’s meant to fit seamlessly into the human world,” Gervet said. “Humans will still lead, but our reach won’t be limited by what we can do with our own hands.”

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Kurt’s key takeaways

This can feel like another robot demo, but the difference is how these robot hands move. They are starting to handle objects more like people do, using the same kinds of motions and tools. That is what makes this worth paying attention to. If robots can work in spaces built for humans without everything being redesigned, that is when things start to change in a more noticeable way. It also raises a bigger question about where this shows up first and how quickly it spreads. Not everything will change overnight, but this is the kind of progress that tends to build quietly and then suddenly feel like it is everywhere. So, be on the lookout for general-purpose robots that can suddenly handle objects more like human hands and start showing up in places you might not expect.

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As robots move and handle objects more like humans, do you want one helping you at home, or would that feel like a step too far at this point? Let us know by writing to us at CyberGuy.com.

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Native Instruments Komplete 26 adds weird new synths and experimental piano sounds

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Native Instruments Komplete 26 adds weird new synths and experimental piano sounds

The latest version of Native Instruments’ Komplete music production bundle is here with 62 new additions, including the wonderfully weird Absynth 6. Komplete 26 comes in several flavors, starting with three $99 Select bundles: Beats, Band, and Electronic. Prices jump pretty steeply from there, with Standard costing $549, Ultimate costing $1,249, and the Collector’s Edition priced at an eye-watering $1,949. You save some money if you’re upgrading from Komplete 15 (and yes, they switched from sequential numbers to years for 2026), but upgrading the Collector’s Edition will still set you back $399.

Komplete 26 Standard should satisfy all but the most demanding producers. Absynth 6 and Massive X cover most of your synth needs. Kontakt 8 is the industry standard for sample-based instruments covering orchestras, drums, choirs, and more. It also has tools for sequencing and building chord progressions if you need a little creative inspiration. There’s also Guitar Rig 7 Pro for effects and amp simulations. Plus, Komplete comes with mixing and mastering plugins from iZotope, including Ozone 12, Neutron 5, and Nectar 4.

Upgrading from the Standard Bundle to the Ultimate or Collectors does get you new additions like Claire and Claire: Avant, a pair of sampled Steinway D grand piano instruments that cover both traditional acoustic tones and experimental textures. There’s also a host of additions, like LCO Producer Strings and Moments: Vocal Clouds, that are targeted at score work. Of course, all those additional sampled instruments and expansion packs add to the download size, with the Collector’s Edition weighing in at 1.6 TB.

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SIM swap scam drained Florida woman’s bank account in minutes

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SIM swap scam drained Florida woman’s bank account in minutes

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You’re at home, scrolling through your phone like any other night. Suddenly, nothing works. Texts stop, calls fail and alerts disappear. That’s how it started for Florida woman Patricia Escriva.

She didn’t lose her phone. She lost control of her phone number. And within minutes, someone else was using it to break into her accounts.

“I realized that I had nothing,” Escriva said. “Either you get a text message, a WhatsApp message, an email or a phone call. I had nothing.” That silence was the first warning.

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IS YOUR PHONE HACKED? HOW TO TELL AND WHAT TO DO

SIM swap scams target a victim’s phone number, allowing hackers to intercept verification codes and move quickly through linked accounts. (Kurt “CyberGuy” Knutsson)

How a normal night turned into chaos

Escriva shared her experience on my Beyond Connected podcast at getbeyondconnected.com, where she walked through how quickly everything unraveled.

Escriva was babysitting when her phone suddenly went quiet. No notifications. No signal. It felt off right away.

She connected to Wi-Fi to check what was going on. That’s when everything hit at once. “The first one was, you added a new device to your account,” she said. “And then two seconds later, you just changed your password.”

Then came the financial alerts. “Let me tell you, my heart stopped,” she said. “I start getting emails like $1,500, $800.”

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Within minutes, someone had taken control of her accounts and started spending. That speed is what makes this type of attack so dangerous.

What is a SIM swap scam?

What happened to Patricia is known as a SIM swap scam. A SIM swap scam is a type of identity theft that targets your phone number. This can happen with both physical SIM cards and eSIMs, since the attack focuses on your number, not your device.

Here’s how it usually works:

  • A scammer gathers your personal data online
  • They contact your mobile carrier and pretend to be you
  • They convince the carrier to move your number to their device
  • Once your number is transferred, they receive your security codes

That last step is the key. Many accounts rely on text message codes for login security. Once a hacker controls your number, they can reset passwords and take over accounts fast. In some cases, accounts are drained within hours.

Why do these SIM swap scams move so fast?

Once your number is in the wrong hands, everything connected to it becomes vulnerable. Email accounts. Bank logins. Payment apps. Hackers don’t waste time. They move quickly before you even realize what’s happening.

In Escriva’s case, the damage started immediately. “They were using my money… from their checking account to pay the credit cards to keep using the credit card,” she said. Even after reporting the issue, it took days to regain control of her number. “They took three days in order to get my phone number…back,” she said.

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FBI WARNS OF DANGEROUS NEW ‘SMISHING’ SCAM TARGETING YOUR PHONE

Patricia Escriva recalls the moment her phone went silent and her accounts were taken over in a SIM swap scam. (Kurt “CyberGuy” Knutsson)

SIM swap scam warning signs you should never ignore

SIM swap scams don’t always start with obvious red flags. The first sign can feel small.

Here are signals you should never ignore:

  • Your phone suddenly loses service
  • You can’t send or receive calls or texts
  • You get alerts about new devices or password changes
  • You stop receiving verification codes

Escriva now urges people to act fast when something feels off. “If you see you have nothing going on on your phone, make a phone call,” she said. “If that phone call doesn’t go through… you’re being hacked.”

While Patricia lost thousands of dollars to the scammer, her bank ultimately restored all of her money.

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What to do if you’re hit by a SIM swap scam

If your phone suddenly stops working without warning, act quickly:

  • Call your mobile carrier from another phone and lock your number
  • Ask for a SIM lock or port-out freeze immediately
  • Contact your bank and stop any transactions
  • Change passwords for your email and financial accounts
  • Turn on alerts for suspicious activity
  • Report the incident to your carrier and local police

Ways to stay safe from a SIM swap scam

You can’t control every data breach or leak. But you can make it much harder for someone to take over your number.

1) Lock down your mobile account

Call your carrier and ask for a SIM lock or port-out PIN. This adds a layer of protection before your number can be moved.

2) Stop relying on text codes

Switch important accounts to an authenticator app or security key. Text messages are the weak link in SIM swap attacks.

3) Use strong, unique passwords

Every account should have its own password. A password manager can help you generate and store them securely. Check out the best expert-reviewed password managers of 2026 at CyberGuy.com.

4) Turn on account alerts

Enable notifications for logins, password changes and transactions. The faster you spot suspicious activity, the better.

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IF SOMEONE GETS INTO YOUR EMAIL, THEY OWN EVERY ACCOUNT YOU HAVE. THESE 3 MOVES LOCK THEM OUT FOR GOOD

A SIM swap scam can give criminals access to text message codes used to reset passwords and take over financial accounts. (Felix Zahn/Photothek)

5) Limit your data exposure

Your personal information is often available on data broker sites. Removing it with a data removal service reduces what scammers can use against you. Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting CyberGuy.com.

6) Watch for phishing and malicious links

Scammers often gather the information they need through fake emails or texts. Using strong antivirus software can help detect malicious links, fake websites and suspicious downloads before they compromise your data. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android and iOS devices at CyberGuy.com.

7) Consider identity theft protection

These services can monitor your personal data, alert you to suspicious activity and help you recover more quickly if your information is misused. They can also flag when your data appears in known breaches. See my tips and best picks on Best Identity Theft Protection at CyberGuy.com.

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8) Act immediately if your phone goes silent

Don’t wait. Use another phone and call your carrier and bank right away. Lock everything down as fast as possible.

Kurt’s key takeaways

Patricia Escriva’s story is a reminder of how quickly things can spiral out of control. One moment, everything feels normal. Next, your digital life is out of your hands. Her experience also shows something else. Speed matters. Awareness matters. The sooner you act, the more you can limit the damage. Scammers are getting better at impersonation. That means protecting your phone number is now just as important as protecting your passwords. You can hear Patricia walk through her entire story step by step on my Beyond Connected podcast at getbeyondconnected.com, including what she wishes she had known before it happened.

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If your phone suddenly lost service right now, would you know exactly what to do next?  Let us know by writing to us at CyberGuy.com.

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