Technology
How tech is being used in Nancy Guthrie disappearance investigation
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Nancy Guthrie, the 84-year-old mother of “Today” show co-anchor Savannah Guthrie, was reported missing from her home in the Catalina Foothills area near Tucson after she failed to appear for church and could not be reached by family. When deputies arrived, several things stood out. Her phone, wallet and car keys were inside the home. The daily medication she relies on was left behind. Given her age and mobility challenges, investigators said she would not have left voluntarily.
The Pima County Sheriff’s Department has since stated publicly that the case is being treated as a suspected abduction, and the home was processed as a crime scene. As the search continues, investigators are piecing together not only physical evidence and witness tips, but also the digital trail left behind by everyday technology.
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Investigators are examining digital clues from phones, cameras and networks to help narrow the timeline in the Nancy Guthrie missing person investigation. (Courtesy of NBC)
Why technology matters in missing person investigations
In cases like this, technology rarely delivers a single smoking gun. Instead, it helps investigators answer quieter but critical questions that shape a timeline. Investigators ask when everything still looked normal. They look for the moment when devices stopped communicating. They try to pinpoint when something changed. Phones, medical devices, cellular networks and cameras generate timestamps. Those records help narrow the window when events may have taken a dangerous turn.
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Smart cameras and neighborhood footage can provide crucial time markers, even when images are unclear or partially obscured. (Courtesy of NBC)
How investigators connect data across agencies
Behind the scenes, investigators rely on advanced analytical systems to connect information from multiple sources and jurisdictions. In Tucson and across Pima County, law enforcement agencies use artificial intelligence-assisted crime analysis platforms such as COPLINK, which allows data sharing with at least 19 other police departments across Arizona. These systems help investigators cross-reference tips, reports, vehicle data and digital evidence more quickly than manual searches.
The Pima County Sheriff’s Department, Tucson Police Department and the FBI also work through real-time analytical crime centers, including Tucson’s Real-Time Analytical Crime Center (TRACC). These centers allow analysts to review large volumes of data together, from phone records and license plate reads to surveillance timestamps.
This type of analysis does not replace traditional police work. It helps narrow timelines, rule out possibilities and prioritize leads as new information comes in.
Bluetooth data and Apple’s potential role
iOS may retain low-level Bluetooth artifacts outside the pacemaker app. Access to this data typically requires:
- Legal process
- Apple cooperation
- Device forensic extraction
Bluetooth artifacts cannot determine distance. They cannot show that two devices were a few feet apart. What they can sometimes provide is timestamp correlation, confirming that a Bluetooth interaction occurred. That correlation can help align pacemaker activity with phone movement or inactivity. It is not publicly known whether Apple has been formally contacted in this case. An inquiry has been made. Apple typically does not comment on specific investigations but may confirm what categories of data could be available.
What the iPhone itself may reveal
Even without medical data, the iPhone left behind may provide valuable corroboration. With proper legal access, investigators may examine:
- Motion sensor activity
- Cellular network connections
- Wi-Fi associations
- Camera metadata
- Power and usage patterns
This data can help establish whether the phone moved unexpectedly or stopped being used at a specific time. Again, the value lies in confirming timelines, not speculating motives.
Cell tower data and coverage around the home
Public mapping databases show dense cellular coverage in the area surrounding the Guthrie residence. There are 41 cell towers within a three-mile radius. The closest carrier towers are approximately:
- AT&T at 1.0 mile
- Verizon at 1.4 miles
- T-Mobile at 3.0 miles
Carrier records can be analyzed to identify device connections, sector handoffs and anomalous activity during the critical window between Saturday evening and Sunday morning. This analysis is complex, but it can help confirm whether a device moved or disconnected unexpectedly.
Cameras, license plate readers and neighborhood footage
Investigators are also reviewing surveillance systems. Tucson primarily uses Verkada cameras integrated with the Fusus platform. Flock Safety cameras are used in other parts of the region, including South Tucson.
More than 200 automatic license plate readers are deployed in the broader area, allowing investigators to review historical vehicle movements during the critical time window. These systems can capture license plates, vehicle make and color, vehicle type and alerts tied to suspect vehicles.
Private sources may matter just as much. Neighbor doorbell cameras and home systems can provide important timeline markers, even if the footage is grainy. Some modern vehicles also record motion near parked cars if settings are enabled.
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Everyday devices quietly record timestamps that may help investigators understand when something has changed and where to look next. (Courtesy of NBC)
Ways to keep your loved ones safe
Technology can help protect older or vulnerable relatives, but it works best when combined with everyday habits that reduce risk.
1) Use connected cameras
Install smart doorbell cameras and outdoor security cameras that notify family members when someone unfamiliar appears. Alerts can matter just as much as recorded footage. Many newer systems allow AI-based person detection, which can alert you when an unknown person is seen at certain times of day or night. These alerts can be customized, so family members know when activity breaks a normal pattern, not just when motion is detected.
2) Wear an emergency pendant or medical alert device
Emergency pendants and wearable SOS devices let someone call for help with a single press. Many newer models work outside the home and can alert caregivers if a fall is detected. Some devices also include GPS, which helps when someone becomes disoriented or leaves home unexpectedly. This remains one of the most overlooked safety tools for older adults.
3) Enable device sharing and safety features
If your loved one agrees, enable location sharing, emergency contacts and built-in safety features on their phone or wearable.
On smartphones, this can include:
- Emergency SOS
- Medical ID access from the lock screen
- Trusted location sharing through apps like Find My
These features work quietly in the background, allowing help to reach the right people quickly without requiring daily interaction.
4) Create simple check-in routines
Use apps, text reminders or calendar alerts that prompt regular check-ins. If a message goes unanswered, it creates a reason to follow up quickly instead of assuming everything is fine. Consistency matters more than complexity.
5) Use devices with passive safety monitoring
Some phones, wearables and home systems can detect changes in normal daily activity without requiring a button press. For example, smartphones and smartwatches can notice when movement patterns suddenly stop or change. If a device that usually moves every morning stays still for hours, that shift can trigger alerts or prompt a check-in from a caregiver. Smart home systems can also flag unusual inactivity. Motion sensors that normally register movement throughout the day may show a long gap, which can signal that something is wrong. Passive monitoring works in the background. It reduces the need for constant interaction while still creating early warning signs when routines break.
6) Know emergency contacts and escalation steps
Enable smart alerts from home security systems so that family members know when doors open late at night, remain open longer than normal or when systems are armed or disarmed. Fire and smoke listener alerts and bedside panic buttons add another layer of protection, especially overnight. Car apps can also share safety signals, such as when a vehicle is unlocked, a door or window is left open or when location sharing is enabled with trusted family members.
“No single device can protect someone on its own,” a law enforcement expert told CyberGuy. “What helps most is layering. A camera paired with a wearable. A phone paired with check-ins. Technology paired with human attention. Each layer adds context and reduces blind spots. Together, they create earlier warnings and faster responses when something goes wrong.”
Kurt’s key takeaways
The disappearance of Nancy Guthrie is heartbreaking. It also highlights how deeply modern technology is woven into everyday life. Digital data from phones, cellular networks, and cameras can offer valuable insights, but only when used responsibly and in compliance with privacy laws. As this investigation continues, technology may help law enforcement narrow timelines and test theories, even if it cannot answer every question. In cases like this, every detail matters.
As digital footprints grow more detailed, should tech companies give law enforcement broader access when someone goes missing? Let us know by writing to us at Cyberguy.com.
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Technology
Valve is so behind on Steam Controller orders that some won’t ship until 2027
Valve has some good news and bad news about Steam Controllers. The good news: if you make a reservation for a Steam Controller, the company will now show you one of three estimates of when you’ll be able to actually order your gamepad: by September 2026, by December 2026, or sometime in 2027. The bad news: any reservations made today “indicate a 2027 date for shipping,” Valve says.
“We have no plans to stop making Steam Controller,” according to Valve. “But as we look at the current demand compared to how many we know we can make by the end of the year, we want to manage expectations as much as we can with regards to when folks can expect to receive their order.”
Valve’s very good new Steam Controller went on sale in early May, and the initial rush led some people to run into frustrating problems with trying to check out ahead of the controllers eventually going out of stock. A few days later, the company announced that it would be implementing a reservations queue for interested buyers so they could get on a waitlist. If you’re on the waitlist, when you get notified that a Steam Controller is ready for you to buy, you have 72 hours to actually make the order.
“When we launched Steam Controller last month, we quickly saw that initial demand exceeded our expectations,” Valve says. “Switching to a reservation queue has (hopefully) cut down on the headaches on the customer side, and for us it’s also been helpful as we plan ahead and try to get as many out as quickly as we are able.”
All three of Valve’s big hardware products were delayed from a planned early 2026 launch because of the component crisis, Valve still hasn’t announced when the Steam Machine PC or Steam Frame VR headset might go on sale. However, just yesterday, Valve officially launched its big SteamOS 3.8 update with support for the Steam Machine. It’s also been importing a lot of hardware into the US as of late.
Technology
McDonald’s AI drive-thru may take your next order
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The next time you pull up to a McDonald’s drive-thru, the voice taking your order may not be human. McDonald’s is testing a new AI-powered system called ArchIQ at five U.S. locations. The company has not said where those restaurants are located. The voice assistant, nicknamed Archy, can take drive-thru orders and has shown it can handle both English and Spanish.
For anyone who has repeated “no pickles” into a speaker box more than once, this could sound helpful. However, if you remember McDonald’s last AI drive-thru experiment, you may also wonder whether your burger order could somehow turn into a bag full of surprise McNuggets.
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WOULD YOU EAT AT A RESTAURANT RUN BY AI?
McDonald’s is testing an AI drive-thru system called ArchIQ at five U.S. restaurants. (Kurt “CyberGuy” Knutsson)
What is McDonald’s AI drive-thru?
ArchIQ is McDonald’s new AI system for restaurants. It can take drive-thru orders and also help with operations behind the scenes.
In a post on X, McFranchisee, an anonymous McDonald’s franchisee account, said the system is currently in five test stores and has processed more than one million transactions. The account also said about 90% of orders were completed without a human stepping in. That number sounds promising. Still, McDonald’s has not confirmed a nationwide launch date. For now, this remains a limited test.
The system also appears to connect with a bigger McDonald’s plan called “McDonald’s > NEXT.” CEO Chris Kempczinski described the strategy as a way to bring in more customers and improve restaurant productivity. The plan also includes menu changes, restaurant redesigns, technology upgrades and more focus on hospitality.
Why McDonald’s is testing AI ordering
Drive-thrus can get chaotic fast. Someone changes an order after the total appears. A child calls out from the back seat. Road noise makes the speaker hard to hear. Then the driver remembers the extra sauce after everything has already gone through. That is the type of pressure McDonald’s wants AI to handle.
If ArchIQ works well, it could help restaurants move cars through the line faster. It may also reduce mistakes during busy hours. Workers could then focus more on preparing food, handling payments and helping customers who need a real person.
ArchIQ also appears to have a management role. In the same X post, McFranchisee described Archy as a tool that could alert managers to bottlenecks or other issues before they slow down operations.
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The AI assistant, nicknamed Archy, can take drive-thru orders and may also help managers spot restaurant slowdowns. (McFranchisee)
McDonald’s tried AI drive-thru ordering before
This new test follows McDonald’s earlier AI drive-thru experiment with IBM. That program involved more than 100 restaurants. McDonald’s ended the test in 2024 after customers complained about order accuracy. Some mistakes also went viral, creating an embarrassing moment for McDonald’s and raising questions about whether the technology was ready for the drive-thru. Customers reported wrong items, strange quantities and other order mix-ups. That history is why this new test will get extra attention.
This time, McDonald’s is working with Google technology. McFranchisee also claimed every McDonald’s in the U.S. is getting Google Edge Cloud hardware in anticipation of the rollout. McDonald’s seems to believe the newer system can perform better than the last one. The real test will come when regular customers use it during real drive-thru rushes.
How McDonald’s AI drive-thru could help customers
If McDonald’s gets this right, the most obvious benefit is speed. An AI ordering system does not get tired during a long shift. It may also help more customers order in the language they prefer. That could make a busy drive-thru feel less frustrating, especially during breakfast or late-night hours.
The system may also ask clearer follow-up questions and catch missing details before the order reaches the kitchen. That would be a win for customers who want to get in, get their food and get on with the day.
The biggest problem with AI drive-thru orders
The biggest concern is accuracy. AI can still misunderstand people. That gets frustrating fast when you are trying to grab lunch between errands or get your kids fed from the back seat. A wrong order wastes time. It also puts workers in the position of fixing a mistake the machine made.
There is also the customer service side. Some people like hearing a real person at the speaker. Others may find an AI voice cold or annoying, especially if the system gets confused.
Then there is the privacy question. If an AI system takes your order, customers may wonder what gets collected, how long it is kept and who can access it. McDonald’s has not publicly explained those specifics for this current ArchIQ test.
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A drive-thru menu board stands outside a McDonald’s restaurant in Hercules, Calif., on Oct. 23, 2024, amid an E. coli outbreak linked to onions in Quarter Pounder sandwiches that has sickened dozens and killed one person across the U.S. (David Paul Morris/Bloomberg via Getty Images)
How to avoid AI drive-thru mistakes
Before you leave the drive-thru, take a moment to check the order screen. Make sure the items match what you said. Listen when the system repeats your order. Keep your receipt until you confirm the food is right.
Also, avoid sharing extra personal details at the speaker box. Your order should only require your food choices and payment.
If the AI gets confused, ask for a crew member. You do not need to keep going back and forth with a machine over fries.
What this means for you
For now, you probably will not notice a change at your local McDonald’s. The ArchIQ test appears limited to five U.S. restaurants, and the company has not said when it could expand.
Still, this gives customers a preview of where fast food may be heading. AI could soon play a bigger role in how restaurants take orders and manage the kitchen. That may speed up the line, though it could also make the experience feel less personal.
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Kurt’s key takeaways
McDonald’s clearly wants AI to play a bigger role in its restaurants. From a business point of view, the idea makes sense. Shorter drive-thru lines could help franchisees and customers. Better restaurant data could also help managers fix problems faster. But I still want the human backup. Food orders can be messy because people are messy. We change our minds. We talk over each other. We forget the extra ketchup until the last second. AI may handle much of that one day. For now, I would treat it like any busy drive-thru interaction. Speak clearly. Check the order. Do not pull away until you know your food is right.
Would you trust an AI voice to take your McDonald’s order, or do you still want a real person on the other end of the speaker? Let us know by writing to us at Cyberguy.com
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Technology
Midjourney goes from generating cat images to full-body ultrasound scans
Midjourney CEO David Holz just showed off the company’s first hardware product and plans to build a San Francisco spa, which he admitted is a bit different from the “cat pictures” produced by its AI image generator. Dubbed The Midjourney Scanner, it’s an ultrasound-based full-body scanner that uses a ring of sensors to capture vertical slices of the inside of your body, looking at the composition of your muscle, fat, bone, and organs to start. Holz said ideally, you could do this once a year or every single day, as it “aims for image quality comparable to MRI in many ways.”
He mentioned that one way he’d like to use it would be to see how his body changes in response to diet and workout changes, saying, “I’m not the most measured man on Earth yet, you know, but maybe I want to have that daily [measurable information].” A set of job listings advertises the company’s goal as trying to “build and launch the world’s first full-body ultrasound CT scanner, ultimately bringing safe, fast, and high fidelity preventative scanning to billions via a magical spa experience.”
The Midjourney Scanner was developed in a partnership with ultrasound tech company Butterfly Network, which said it uses “40 Butterfly Ultrasound-on-Chip imaging modules per system.”
The scanning process starts with stepping onto a platform that drops down into the water on rails through a ring of thousands of transducers that create ultrasonic waves. It then records the ripples passing through your body to analyze them and create detailed 3D images. The scan takes about 60 seconds. Holz said about a dozen people have been scanned so far.
It starts by stepping into a shallow pool of golden light. You then begin to descend into the water. Your body passes through a ring of underwater sensors, each acting like a dolphin, using its echolocation. The sensors send ultrasonic sound waves through your body from every angle. With enough waves, and enough angles, we form an image of what’s happening inside your body.
It combines those sensors with two petaflops of processing power. But after watching the livestreamed reveal, I’m still unclear on what Midjourney’s AI image generation tech exactly has to do with the Midjourney Medical effort, beyond an alternative business for otherwise-unused AI compute.
Holz hopes to put 10 of the scanners into a Midjourney Spa location in San Francisco’s Union Square that will open before the end of 2027 and offered to scan the hands of attendees at its launch event. The Midjourney Spa will have a gym, saunas, and cold plunges to go along with the hot tub–equipped scanning rooms where visitors will get into the water to be scanned.
He did mention that various medical applications would require FDA clearances, but for now, Midjourney Medical says it’s working on “body composition maps” that don’t require the same level of clearance as diagnostic imaging. It also says the “library of scans” users create can be shared with doctors, AI health tools, or others, and that, “We take data privacy seriously — more details on our data policies will come as we get closer to launch.”
Holz suggested that eventually these scans could become better than an MRI, without radiation, powerful magnets, or other complicating factors, to get a look at what’s going on inside people’s bodies “real fast.” In response to a question, he imagined a future where the FDA had a class of devices to look at “weird” things and allowed people to “just try to get as much data as we can.”
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