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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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Microsoft’s carbon emissions went up 25 percent last year

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Microsoft’s carbon emissions went up 25 percent last year

Microsoft may once again be struggling to keep up with its own climate goals, according to its 2026 sustainability report. As reported by GeekWire, the report states that Microsoft’s carbon emissions increased 25 percent in 2025, totalling 34 million metric tons “without select interventions.” Microsoft says this was “driven primarily by the expansion of our datacenter infrastructure,” as well as the company’s decision last February to stop purchasing “non-additional, unbundled renewable energy certificates.”

Several years ago, Microsoft set itself a goal to be carbon negative by 2030, meaning it will need to remove more carbon emissions than it produces. This isn’t the first time Microsoft has faced setbacks toward accomplishing that goal, as its 2024 sustainability report showed a similar rise in climate pollution. This year’s report admits that, “While AI infrastructure is driving demand for energy, water, land, and materials, sustainability solutions are not scaling fast enough to meet demand.”

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Google turns old phones into cloud servers

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Google turns old phones into cloud servers

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That old phone sitting in your drawer may have more life left in it than you think. You may look at it and see a dead battery, an outdated camera or a screen that no longer feels worth using. Google and researchers at the University of California San Diego see something else: a tiny computer that may still have useful processing power.

Their idea is called phone cluster computing. Instead of treating retired smartphones as electronic waste, researchers remove the motherboard and redeploy it as part of a low-carbon computing system.

Google says UC San Diego plans to launch a data center built from 2,000 Pixel smartphones in fall 2026. The goal is to provide low-cost cloud computing for students and researchers while reducing the need for newly manufactured server hardware.

That means the next chapter for an old phone may not be a junk drawer. It may be a server rack.

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Researchers plan to launch a 2,000-phone data center at UC San Diego in fall 2026 to support students and research workloads. (Kurt “CyberGuy” Knutsson)

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What is phone cluster computing?

Phone cluster computing takes retired smartphones and turns their core hardware into a computing platform. The process starts by stripping each phone down to the motherboard. That board holds the processor, memory and storage. The display, battery, cameras, chassis and other phone-specific parts are removed.

That step is important because a full phone does not belong in a data center. Batteries can create safety issues. Screens and cameras waste space. The motherboard is the part that still offers computing value.

Once the board is removed, researchers load a general-purpose Linux system onto it. Android already runs on Linux at its core, but Android is built for mobile apps and personal devices. A data center needs something more flexible for cloud workloads. After that, the phone boards can be grouped into clusters. Many small boards then work together like a collection of tiny servers.

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Why Google wants old Pixel phones for cloud computing

The AI boom has created a huge appetite for computing power. Data centers need more chips, more electricity and more cooling. At the same time, billions of phones fall out of use around the world.

This Google-backed project takes that conversation in a different direction by asking whether some useful computing can come from hardware we already made.

The project focuses on embodied carbon. That means the emissions created before a device ever turns on. Mining, manufacturing and shipping all add to that carbon footprint.

If a phone motherboard already exists, reusing it can avoid some of the environmental cost tied to manufacturing new hardware. Google says the motherboard accounts for about half of a phone’s embodied carbon, which makes it the most valuable part to recover.

How retired smartphones become low-carbon servers

You cannot plug a pile of old phones into a rack and call it a data center. The process requires careful teardown, new software and a way to manage many boards at once. Google says the project uses containerized applications managed by Kubernetes. That helps coordinate the work across many devices.

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The phones are organized into self-managing clusters of about 25 to 50 boards. Each board works as a small Linux machine. Together, they can handle tasks that would otherwise run on traditional cloud servers. That does not make one phone equal to one server. A server has many more processor cores, more memory and data center-grade hardware. A phone board has fewer resources and tighter limits. Still, some jobs do not need a giant machine. They need enough compute to run efficiently without wasting resources.

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Google and UC San Diego are testing a cloud computing system built from retired Pixel phone motherboards, giving old smartphones a possible second life. (Google)

Can old phone processors handle cloud workloads?

The technical case is stronger than you may expect. Google says the single-threaded performance of modern smartphone performance cores can match or beat the per-core performance of some modern multicore servers. In one comparison, a 2023 Pixel Fold was tested against an ASUS RS720A-E11 server using SPEC benchmarks. The Pixel Fold’s performance cores beat the baseline data center server core on many of the tests. That sounds impressive, but there is an important catch.

A smartphone board has a smaller memory limit and fewer cores. It also lacks the management tools and hardware durability that servers are built around. So the project needs the right workloads.

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UC San Diego is starting with educational and research computing. That makes sense because many classroom tasks can run on small cloud instances. Google says early experiments showed that a 20-phone cluster could support peak submission rates for a class of more than 75 students. The grading latency also came in below the default AWS backend used in the comparison.

Why UC San Diego is testing a 2,000 Pixel phone data center

UC San Diego plans to use the 2,000-phone cluster to support computer science classes and research workloads. Google says the deployment could support about 100 classes at once. It also describes the system as providing about 50 server-equivalents worth of compute at a fraction of the usual cost.

For a university, that could be a major advantage. Cloud computing costs can rise quickly, especially when many students submit assignments at the same time. If a reused phone cluster can handle some of that load, schools may save money while reducing demand for newly manufactured servers.

This also gives researchers a chance to test phone-based computing at scale. A small lab demo can look promising. A 2,000-board deployment will show much more about reliability, maintenance and day-to-day performance.

Phone cluster computing still has big limits

Phone cluster computing sounds promising, but it still has a lot to prove. Your smartphone was made for daily use in your hand, not nonstop work inside a data center. Data center servers are built to run for years with steady cooling, fast repairs and constant monitoring. Phone motherboards come from devices made for pockets, backpacks and kitchen counters. That alone raises some big questions.

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The boards could fail faster than expected. Cooling may also become a challenge once thousands of tiny processors run side by side. Then there is the labor problem, because someone has to safely remove batteries, screens and other parts before the boards can be reused. Cost will be the deciding factor. If teardown, maintenance and replacement work get too expensive, this idea may stay in the research lab.

Phone clusters also will not replace the massive GPU systems that power advanced AI training. They make more sense for smaller cloud jobs, classroom tools and research tasks that fit within smartphone hardware limits. That still leaves plenty of useful work. After all, not every cloud task needs the newest chip.

Why old smartphones could help cut e-waste

The world’s e-waste problem is growing fast. The Global E-waste Monitor projects that electronic waste could climb to 82 million tonnes by 2030, while formal collection and recycling rates are expected to fall to 20%. Old phones are a big part of that problem because many never make it to a proper recycling program. They sit in drawers, land in closets or get tossed out with valuable parts still inside. Even when a phone no longer feels useful to you, its processor, memory and storage may still have work left to do.

CyberGuy has covered related second-life ideas before, including old smartphones being turned into tiny data centers and repurposed EV batteries helping power AI data centers. The common theme is hard to ignore. Some of the hardware already in circulation may still have useful work left to do.

FIVE DATA BROKER OPT-OUT MYTHS THAT LEAVE RETIREES EXPOSED

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Google says reusing smartphone motherboards could cut hardware waste and reduce the carbon cost of building new data center servers. (Yawar Nazir/Getty Images)

How to safely recycle or reuse your old phone

This research does not mean you should toss your old phone into a random donation bin tomorrow. Before you recycle, donate, trade in or sell an old phone, you need to protect your data. Back up anything you want to keep. Then sign out of your accounts and securely wipe the device.

CyberGuy has a helpful guide on how to securely get rid of your old cell phone. Privacy comes first whenever you part with a device.

You can also consider trade-in programs, certified refurbishers or reputable electronics recycling programs. If the phone still works, buying refurbished can also keep devices in use longer. CyberGuy has covered what to know before buying refurbished electronics, which is helpful if you want to save money without taking a gamble. The key is to avoid letting old devices sit forgotten forever. A phone in a drawer helps no one.

What this means to you

That old phone in your drawer may not be as useless as it looks. Even if the battery is tired or the camera feels outdated, the processor inside may still have real value.

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Now, you probably will not be mailing your old phone to a Google data center anytime soon. Still, this project points to a bigger shift in how we think about retired tech. Instead of sending every old device straight to recycling or letting it collect dust, companies, schools and researchers may find smarter ways to reuse the parts that still work.

There is also a money lesson here. If your current phone still runs well, you may not need to rush into an upgrade just because a newer model comes out. A battery replacement, trade-in or refurbished option could save you money while keeping perfectly good hardware in use longer. To me, that is the real takeaway. The phone you forgot about could possibly still have a job to do.

Watch the CyberGuy Live replay: Lock Down Your Phone in 30 Minutes

Your phone holds your email, passwords, photos, banking apps and personal data. In this free CyberGuy Live replay, Kurt the CyberGuy walks you step by step through simple phone security fixes you can do at your own pace. You’ll learn how to improve your privacy settings, spot the latest phone scams, use trusted security tools and walk away with a simple checklist to stay protected. Watch the replay and get our checklist here: CyberGuyLive.com.

Kurt’s key takeaways

Google and UC San Diego are testing how to turn retired Pixel phone motherboards into a low-carbon cloud computing platform. The project could give old smartphones a second life while reducing the need for newly manufactured servers. That is important as AI data centers keep demanding more computing power and more electricity. The first major test is expected in fall 2026 with a 2,000-phone data center at UC San Diego. If it works, the cluster could support students and researchers at a lower cost than traditional cloud infrastructure. However, this idea still has to prove it can handle the grind of daily use. Reliability, cooling, teardown labor and maintenance will determine whether phone cluster computing can grow beyond just research. To me, the most relatable part is sitting in your junk drawer. That old phone may seem useless, but its processor could still be powerful enough to help run cloud jobs. Maybe the future of computing starts with hardware we already forgot we owned.

Would you feel good knowing your old phone could help power cloud computing? Let us know by writing to us at CyberGuy.com.

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Google’s Nest Thermostat has hit its best price of the year

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Google’s Nest Thermostat has hit its best price of the year

If you’re looking for a relatively affordable way to cut down on cooling costs, Google’s Nest Thermostat can help. It’s packed with smart controls and energy-saving features, and right now it’s on sale in white for $79 ($50 off), which is its best price of the year, at Amazon.

The smart thermostat is quick to install and makes it easy to adjust your home’s temperature whether you’re relaxing in bed or on your way home thanks to the Google Home app. You can also create schedules and control it with your voice using Google Assistant, Alexa, or another Matter-compatible voice assistant.

Once it’s set up, the Nest Thermostat can automatically turn the temperature down when you’re away to help reduce unnecessary energy use, while Google’s Savings Finder feature suggests additional ways to save over time. It also monitors your HVAC system and can alert you if something doesn’t seem right, making it easier to stay on top of maintenance before small issues become bigger, more expensive ones. If you’re eligible, Nest Renew can also automatically shift some of your heating and cooling to times when electricity is cleaner or cheaper.

That said, this is Google’s entry-level model from 2020, so you do miss out on some of the premium features found on the latest Nest Learning Thermostat. Unlike the flagship version, it won’t learn your schedule automatically over time, for example, and lacks support for Nest Temperature Sensors that let you prioritize the temperature in a specific room. Even so, if all you want is an easy way to adjust your home’s temperature remotely and potentially lower your energy bills, the Nest Thermostat is still a solid investment at this price.

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