An anonymous reader shares this report from the Associated Press:

Myanmar’s military has shut down a major online scam operation near the border with Thailand, detaining more than 2,000 people and seizing dozens of Starlink satellite internet terminals, state media reported Monday… The centers are infamous for recruiting workers from other countries under false pretenses, promising them legitimate jobs and then holding them captive and forcing them to carry out criminal activities.

Scam operations were in the international spotlight last week when the United States and Britain enacted sanctions against organizers of a major Cambodian cyberscam gang, and its alleged ringleader was indicted by a federal court in New York. According to a report in Monday’s Myanma Alinn newspaper, the army raided KK Park, a well-documented cybercrime center, as part of operations starting in early September to suppress online fraud, illegal gambling, and cross-border cybercrime.

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Spotify recently came under fire for running recruitment ads for ICE, which ask users to “join the mission to protect America” and to “fulfill [their] mission,” in the US. Despite music labels calling on the streaming service to stop serving ICE recruitment ads, Spotify doubled down. A spokesperson for the company told The Independent that the ads are “part of a broad campaign” by the US government running across different channels and that they do not violate its policies. The spokesperson advised users to just mark ads with a thumbs up or down so that the app can learn their preferences. 

In addition, several artists have pulled their music from Spotify recently over its CEO’s, Daniel EK’s, investments in European defense tech firm Helsing. The defense company builds drones, aircraft and submarines, and it also sells AI software that can analyze sensor and weapons data from battlefields. Spotify has been facing backlash for its payout rates, which artists argue are unfair and lower than what other services pay, over the past few years as well. 

So if you want to cancel Spotify, whether for any those reasons or another one altogether, you can follow the instructions below. 

How to cancel via web:

1. Log into your Spotify account in your browser. 

2. Go to Account in the dropdown menu that shows up when you click on your Profile. 

3. Find Cancel Subscription under the Subscription section. 

4. Spotify will tell you that you’ll hear ads every 15 minutes on a free account, along with the date when your premium access will end. Click “Continue to cancel” at the bottom of the screen. 

If you’re on mobile, make sure to request the desktop site after you log into your account on your mobile browser. Take note that if you’re part of a Spotify Family or Duo plan, only the plan manager will be able to cancel your subscription altogether. If you follow the same steps above as a member, you’ll only remove your account from the plan, but the manager will continue paying for it. 

How to cancel via third-party provider:

If you pay for your subscription through third-party providers, you can follow these instructions instead.

Cancel via Google

1. Fire up the Google Play app and tap on the icon for the account you use. 

2. Go to Payments & subscriptions. 

3. Tap on Subscriptions. 

4. Find Spotify among your subscriptions and tap on it. 

5. Tap on Cancel Subscription at the bottom of the screen, select a reason for cancellation and confirm it. 

Cancel via Apple

1. Go to Settings in your iPhone or iPad. 

2. Tap on your name and go to Subscriptions. 

3. Find Spotify and go through the cancellation process. 

Cancel via carrier

Instructions for this may vary, depending on your carrier. Generally, however, you can follow these steps. 

1. Log into your carrier account on its website. 

2. Find the option to manage your subscriptions under your account. 

3. Find Spotify and go through the cancellation process. 

What happens after you cancel

You’ll still have access to Spotify’s premium features until your next billing cycle begins. That means you still won’t encounter ads and will have access to offline downloads, as well as unlimited skips and higher audio quality. You’ll be able to access your Spotify library even with a free account, but if you want to find another streaming service to pay for, you can check Engadget’s list of best music streaming services in 2025. 

This article originally appeared on Engadget at https://www.engadget.com/apps/how-to-cancel-your-spotify-subscription-133022215.html?src=rss

If you’re moving on to a new Apple Watch, selling your current one or fixing some software hiccups, you’ll probably need to disconnect it from your iPhone. Apple calls this unpairing; it’s the step that wipes your watch, breaks the connection to your phone and removes Activation Lock so the next person can use it. The good news is that unpairing is straightforward whether you have your iPhone nearby or not. Here’s how it works, along with why you might want to disconnect your watch in the first place.

How to disconnect Apple Watch using your iPhone

The simplest way to unpair your Apple Watch is through your iPhone.

1. Keep your iPhone and Apple Watch close together.

2. Open the Apple Watch app on your iPhone.

3. Navigate to the My Watch tab, then All Watches at the top.

4. Tap the info button next to the watch you want to disconnect.

5. Select Unpair Apple Watch, then select Unpair [your Apple Watch name].

6. If you have a cellular model, choose whether to keep or remove your cellular plan. Remove it if you’re selling or giving away the watch. Keep it if you plan to pair it again later

7. Enter your Apple Account password when asked to turn off Activation Lock, then select Unpair.

Your iPhone will create a backup before erasing the watch. When you set up a new Apple Watch, you can choose to restore from that backup and carry on with your data and settings intact.

How to disconnect Apple Watch without your iPhone

If you don’t have your paired iPhone with you, you can still reset your Apple Watch directly. This will wipe your data, but won’t create a backup and Activation Lock will remain, so keep that in mind if you want to save your information.

• On your Apple Watch, open Settings.

• Select General, then scroll down and select Reset.

• Select Erase All Content and Settings.

• Enter your passcode if prompted.

• For cellular models, choose whether to keep or remove your plan.

Your watch will erase itself and restart as if it were brand new.

Why you should disconnect your Apple Watch

There are a few reasons you might want to unpair your Apple Watch. Maybe you’re upgrading to a new model and need to start fresh. Maybe you’re trading it in, selling it or handing it down to someone else. You might also need to disconnect your watch if you’re troubleshooting. Sometimes a clean reset is the easiest way to fix syncing issues, missed notifications or fitness data that isn’t updating.

Whatever the reason, unpairing keeps your data safe, makes sure a backup is stored and disables Activation Lock. That last step is important because if you skip it, the next owner won’t be able to use the watch.

What happens to your data when you disconnect your Apple Watch?

When you unpair your Apple Watch using your iPhone, the watch creates a backup that includes app data, settings and most health and fitness information. This backup is stored on your iPhone and will transfer to iCloud if you have backups turned on. That makes it easy to restore everything on a new watch.

If you reset from the watch without your iPhone, a backup is not created. Your data will be erased and the watch will be wiped clean, but Activation Lock remains.

Activation Lock is tied to your Apple Account and helps keep your watch secure if it’s lost or stolen. It turns on automatically when you pair your watch with your iPhone. That’s why unpairing isn’t the same as a simple reset. You need the Apple Account and password associated with the watch to turn off Activation Lock.

This article originally appeared on Engadget at https://www.engadget.com/wearables/how-to-unpair-your-apple-watch-from-your-iphone-120052222.html?src=rss

For millennia, some of the world’s largest filter-feeding whales, including humpbacks, fin whales, and blue whales, have undertaken some of the longest migrations on earth to travel between their warm breeding grounds in the tropics to nutrient-rich feeding destinations in the poles each year.

“Nature has finely tuned these journeys, guided by memory and environmental cues that tell whales when to move and where to go,” said Trisha Atwood, an ecologist and associate professor at Utah State University’s Quinney College of Agriculture and Natural Resources. But, she said, climate change is “scrambling these signals,” forcing the marine mammals to veer off course. And they’re not alone.

Earlier this year, Atwood joined more than 70 other scientists to discuss the global impacts of climate change on migratory species in a workshop convened by the United Nations Convention on the Conservation of Migratory Species of Wild Animals. The organization monitors and protects more than 1,000 species that cross borders in search of food, mates, and favorable conditions to nurture their offspring.

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Electronic Arts (EA) has partnered with Stability AI, creator of Stable Diffusion, to co-develop generative AI tools aimed at accelerating game development. “I use the term smarter paintbrushes,” Steve Kestell, Head of Technical Art for EA SPORTS said in the announcement. “We are giving our creatives the tools to express what they want.” Engadget reports: To start, the “smarter paintbrushes” EA and Stability AI are building are concentrated on generating textures and in-game assets. EA hopes to create “Physically Based Rendering materials” with new tools “that generate 2D textures that maintain exact color and light accuracy across any environment.” The company also describes using AI to “pre-visualize entire 3D environments from a series of intentional prompts, allowing artists to creatively direct the generation of game content.”

Read more of this story at Slashdot.

China’s private space company LandSpace has completed a key static fire test of its Zhuque-3 (ZQ-3) reusable rocket — a stainless-steel, methane-fueled launcher modeled after SpaceX’s Starship. Universe Today reports: The latest milestone took place on Monday, Oct. 22nd at the Dongfeng commercial space innovation pilot zone (where the JSLC is located). It involved another static fire test, where the rocket was fully-fueled but remained fixed to the launch pad while the engines were fired. This kind of testing is a crucial prelaunch trial (what NASA refers to as a “wet dress rehearsal”), and places the company and China another step closer to making an inaugural flight test, which is expected to happen by the fourth quarter of 2025.

In traditional Chinese, Zhuque is the name of the Vermillion Bird that represents fire, the south, and summer, and is one of the four Symbols of the Chinese constellations. Like the Starship, the Zhuque-3 is composed of stainless steel and relies on a combination of liquid methane (LCH4) and liquid oxygen (LOX) propellant. The rocket will be powered by nine Tianque-12A (TQ-12A) engines and will measure 65.9 m (216 ft) tall and weigh 550,000 kg (1,210,000 lb). It’s payload capacity will be significantly less than the Starship: 11,800 kg (26,000 lbs) in its expendable mode, and 8,000 kg (18,000 lbs) for the recoverable version. This is closer in payload capacity to the Falcon 9, which is capable of delivering 22,800 kg (50,265 lbs) to Low Earth Orbit (LEO).

In time, the company hopes to transition to the larger Zhuque-3E, which will be 76.2 m (250 ft) tall and powered by nine TQ-12B engines, and will be capable of delivering to 21,000 kg (46,000 lb) in its expandable mode and 18,300 kg (40,300 lb) recoverable. The long term goal is to create a reusable system that can rival the Falcon rocket family, bringing the country closer to its goal of achieving parity with NASA.

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An anonymous reader quotes a report from CNN: Iceland’s frozen, inhospitable winters have long protected it from mosquitoes, but that may be changing. This week, scientists announced the discovery of three mosquitoes — marking the country’s first confirmed finding of these insects in the wild. Mosquitoes are found almost everywhere in the world, with the exception of Antarctica and, until very recently, Iceland, due to their extreme cold.

The mosquitoes were discovered by Bjorn Hjaltason in Kioafell, Kjos, in western Iceland about 20 miles north of the capital Reykjavik. “At dusk on October 16, I caught sight of a strange fly,” Hjaltason posted in a Facebook group about insects, according to reports in the Icelandic media. “I immediately suspected what was going on and quickly collected the fly,” he added.

He contacted Matthias Alfreosson, an entomologist at the Natural Science Institute of Iceland, who drove out to Hjaltason’s house the next day. They captured three in total, two females and a male. Alfreosson identified them as mosquitoes from the Culiseta annulata species. A single mosquito from a different species was discovered many years ago on an airplane at the country’s Keflavik International Airport, Alfreosson told CNN, but this “is the first record of mosquitoes occurring in the natural environment in Iceland.” Further monitoring will be needed in the spring to see whether the species can survive the winter and “truly become established in Iceland,” Alfreosson said. He said he’s not sure climate change played a role in the discovery but “warming temperatures are likely to enhance the potential for other mosquito species to establish in Iceland, if they arrive.”

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Texas’s electricity demand has surged to record highs in 2025 but renewable energy is meeting the challenge. According to new data from the Energy Information Administration, solar output has quadrupled since 2021, wind continues steady growth, and battery storage is increasingly stabilizing the grid during evening peaks. Electrek reports: ERCOT, which supplies power to about 90% of the state, saw demand jump 5% year-over-year to 372 terawatt hours (TWh) — a 23% increase since 2021. No other major US grid has grown faster over the past year. […] The biggest growth story in Texas power generation is solar. Utility-scale solar plants produced 45 TWh from January through September, up 50% from 2024 and nearly four times what they generated in 2021 (11 TWh). Wind power also continued to climb, producing 87 TWh through September — a 4% increase from last year and 36% more than in 2021.

Together, wind and solar supplied 36% of ERCOT’s total electricity over those nine months. Solar, in particular, has transformed Texas’s daytime energy mix. From June to September, ERCOT solar farms generated an average of 24 gigawatts (GW) between noon and 1 pm — double the midday output from 2023. That growth has pushed down natural gas use at midday from 50% of the mix in 2023 to 37% this year. The report notes that while natural gas is still Texas’s dominant power source, it isn’t growing like it used to. “Gas comprised 43% of ERCOT’s generation mix during the first nine months of 2025, down from 47% in the first nine months of 2023 and 2024,” reports Electrek.

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alternative_right shares a report from France 24: [Sweden’s] latest contribution to the war effort is Glimt, an innovative project launched by the Swedish Defence Research Agency (FOI) earlier this year. Glimt is an open platform that relies on the theory of “crowd forecasting”: a method of making predictions based on surveying a large and diverse group of people and taking an average. “Glimt” is a Swedish word for “a glimpse” or “a sudden insight.” The theory posits that the average of all collected predictions produces correct results with “uncanny accuracy,” according to the Glimt website. Such “collective intelligence” is used today for everything from election results to extreme weather events, Glimt said. […]

Group forecasting allows for a broad collection of information while avoiding the cognitive bias that often characterizes intelligence services. Each forecaster collects and analyses the available information differently to reach the most probable scenario and can add a short comment to explain their reasoning. The platform also encourages discussion between members so they can compare arguments and alter their positions. Available in Swedish, French and English, the platform currently has 20,000 registered users; each question attracts an average of 500 forecasters. Their predictions are later sent to statistical algorithms that cross-reference data, particularly the relevance of the answers they provided. The most reliable users will have a stronger influence on the results; this reinforces the reliability of collective intelligence. “We used this method and research, and we suggested to the Ukrainians that it could improve their understanding of the world and its evolution,” said Ivar Ekman, an analyst for the Swedish Defence Research Agency and program director for Glimt. “If you have a large group of people, you can achieve great accuracy in assessing future events. Research has shown that professional analysts don’t necessarily have a better capacity in this domain than other people.”

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Apple has begun shipping U.S.-made AI servers from a new factory in Houston, Texas — part of its $600 billion investment in American manufacturing and supply chains. CNBC reports: Apple Chief Operating Officer Sabih Khan said on Thursday that the servers will power the company’s Apple Intelligence and Private Cloud Compute services. Apple is using its own silicon in its Apple Intelligence servers. “Our teams have done an incredible job accelerating work to get the new Houston factory up and running ahead of schedule and we plan to continue expanding the facility to increase production next year,” Khan said in a statement. The Houston factory is on track to create thousands of jobs, Apple said. The Apple servers were previously manufactured overseas.

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An anonymous reader quotes a report from Tom’s Guide: Microsoft Teams is about to deal a heavy blow to those who like to work from home for peace and quiet. In a new feature update rolling out December 2025, the platform will track a worker’s location using the office Wi-Fi, to see whether you’re actually there or not. From a boss’ perspective, this would eliminate any of that confusion as to where your team actually is. But for those people who have found their own sanctuary of peaceful productivity by working from home, consider this a warning that Teams is about to tattle on you. According to the Microsoft 365 roadmap: “When users connect to their organization’s Wi-Fi, Teams will automatically set their work location to reflect the building they are working in.” The location of that worker will apparently update automatically upon connecting.

It’s set to launch on Windows and macOS, with rollout starting at the end of this year. “This feature will be off by default,” notes Microsoft. But “tenant admins will decide whether to enable it and require end-users to opt-in.”

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IBM announced that its quantum error-correction algorithm can now run in real time on standard AMD field-programmable gate array (FPGA) chips — a major step toward making quantum computing more practical and affordable. Reuters reports: In June, IBM said it had developed an algorithm to run alongside quantum chips that can address such errors. In a research paper seen by Reuters to be published on Monday, IBM will show it can run those algorithms in real time on a type of chip called a field programmable gate array manufactured by AMD.

Jay Gambetta, director of IBM research, said the work showed that IBM’s algorithm not only works in the real world, but can operate on a readily available AMD chip that is not “ridiculously expensive.” “Implementing it, and showing that the implementation is actually 10 times faster than what is needed, is a big deal,” Gambetta said in an interview. IBM has a multi-year plan to build a quantum computer called Starling by 2029. Gambetta said the algorithm work disclosed Friday was completed a year ahead of schedule.

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Halo Studios (formerly 343 Industries) has announced Halo: Campaign Evolved, a full Unreal Engine 5 remake of the original Halo: Combat Evolved campaign, coming in 2026 for Xbox Series X, Windows PC, and — shockingly — PlayStation 5. “It’s really a new era — Halo is on PlayStation going forward,” Halo Studios community director Brian Jarrard said on a livestream today. Polygon reports: Halo: Campaign Evolved is a from-the-ground-up remake of the first Halo game’s campaign. It’s being built in Unreal Engine 5 — unlike previous Halo games, which have been developed with proprietary software. It aims to modernize the game without changing it on a fundamental level. […]

As signaled by the name, Campaign Evolved will not feature PvP multiplayer, as its focus is on the campaign (Combat Evolved had splitscreen competitive multiplayer modes). However, you’ll still be able to play Halo: Campaign Evolved with your buddies. It’ll support splitscreen two-player local co-op as well as four-player online. Most notably, it’ll support full crossplay and cross-progression.

Gameplay is being changed in ways that are more aligned with later entries in the series. Master Chief will be able to pick up and use enemy weapons that he couldn’t use until later Halo games, like the iconic Energy Sword. He’ll be able to pilot the Covenant Wraith tank in the original game for the first time, and can hijack vehicles (or get hijacked). Campaign Evolved is also implementing a sprint button, altering the way players can move about the battlefield. You can watch a reveal video for the game on YouTube.

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Researchers and users of LLMs have long been aware that AI models have a troubling tendency to tell people what they want to hear, even if that means being less accurate. But many reports of this phenomenon amount to mere anecdotes that don’t provide much visibility into how common this sycophantic behavior is across frontier LLMs.

Two recent research papers have come at this problem a bit more rigorously, though, taking different tacks in attempting to quantify exactly how likely an LLM is to listen when a user provides factually incorrect or socially inappropriate information in a prompt.

Solve this flawed theorem for me

In one pre-print study published this month, researchers from Sofia University and ETH Zurich looked at how LLMs respond when false statements are presented as the basis for difficult mathematical proofs and problems. The BrokenMath benchmark that the researchers constructed starts with “a diverse set of challenging theorems from advanced mathematics competitions held in 2025.” Those problems are then “perturbed” into versions that are “demonstrably false but plausible” by an LLM that’s checked with expert review.

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An anonymous reader quotes a report from Ars Technica: The outage that hit Amazon Web Services and took out vital services worldwide was the result of a single failure that cascaded from system to system within Amazon’s sprawling network, according to a post-mortem from company engineers. […] Amazon said the root cause of the outage was a software bug in software running the DynamoDB DNS management system. The system monitors the stability of load balancers by, among other things, periodically creating new DNS configurations for endpoints within the AWS network. A race condition is an error that makes a process dependent on the timing or sequence events that are variable and outside the developers’ control. The result can be unexpected behavior and potentially harmful failures.
In this case, the race condition resided in the DNS Enactor, a DynamoDB component that constantly updates domain lookup tables in individual AWS endpoints to optimize load balancing as conditions change. As the enactor operated, it “experienced unusually high delays needing to retry its update on several of the DNS endpoints.” While the enactor was playing catch-up, a second DynamoDB component, the DNS Planner, continued to generate new plans. Then, a separate DNS Enactor began to implement them. The timing of these two enactors triggered the race condition, which ended up taking out the entire DynamoDB. […] The failure caused systems that relied on the DynamoDB in Amazon’s US-East-1 regional endpoint to experience errors that prevented them from connecting. Both customer traffic and internal AWS services were affected.

The damage resulting from the DynamoDB failure then put a strain on Amazon’s EC2 services located in the US-East-1 region. The strain persisted even after DynamoDB was restored, as EC2 in this region worked through a “significant backlog of network state propagations needed to be processed.” The engineers went on to say: “While new EC2 instances could be launched successfully, they would not have the necessary network connectivity due to the delays in network state propagation.” In turn, the delay in network state propagations spilled over to a network load balancer that AWS services rely on for stability. As a result, AWS customers experienced connection errors from the US-East-1 region. AWS network functions affected included the creating and modifying Redshift clusters, Lambda invocations, and Fargate task launches such as Managed Workflows for Apache Airflow, Outposts lifecycle operations, and the AWS Support Center. Amazon has temporarily disabled its DynamoDB DNS Planner and DNS Enactor automation globally while it fixes the race condition and add safeguards against incorrect DNS plans. Engineers are also updating EC2 and its network load balancer.

Further reading: Amazon’s AWS Shows Signs of Weakness as Competitors Charge Ahead

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The outage that hit Amazon Web Services and took out vital services worldwide was the result of a single failure that cascaded from system to system within Amazon’s sprawling network, according to a post-mortem from company engineers.

The series of failures lasted for 15 hours and 32 minutes, Amazon said. Network intelligence company Ookla said its DownDetector service received more than 17 million reports of disrupted services offered by 3,500 organizations. The three biggest countries where reports originated were the US, the UK, and Germany. Snapchat, AWS, and Roblox were the most reported services affected. Ookla said the event was “among the largest internet outages on record for Downdetector.”

It’s always DNS

Amazon said the root cause of the outage was a software bug in software running the DynamoDB DNS management system. The system monitors the stability of load balancers by, among other things, periodically creating new DNS configurations for endpoints within the AWS network. A race condition is an error that makes a process dependent on the timing or sequence events that are variable and outside the developers’ control. The result can be unexpected behavior and potentially harmful failures.

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I recently reviewed Even Realities G1 smart glasses (they’re very cool) and the first real-world thing I used them for was scamming someone. I told a local bartender I had an encyclopedic knowledge of film, and I would answer the hardest movie trivia question he could come up with in exchange for a drink. After a short consultation with Google, dude came back with “Who directed 1922’s Cabinet of Dr. Caligari?”

I tilted my head thoughtfully and repeated the question as if verifying I heard him right. The AI agent silently did its thing, and in about three seconds, the answer was floating before my eyes, totally invisible to everyone around me.

Credit: Stephen Johnson

“Robert Wiene?” I asked, feigning uncertainty. Boom! Free drink. It’s not the hardest trivia question, but I could have answered literally anything: the date Dr. Caligari was released, the day of the week it was, or the weather that day—all short work.

Bartenders know to be wary of bar bets, so this one was watching me like a hawk to make sure I wasn’t looking up the answer on my phone or something. He didn’t seem to suspect my glasses, and even if he had, it wouldn’t have mattered. Even inspected up close, G1s offer no indication of electronics of any kind: No USB port, no flashing light, no visible controls.

The AI agent is activated with a subtle tap behind the ear. Repeating the question sends the AI off for the answer, presented in a display that’s invisible to everyone but the wearer. You could do the same trick with a pair of Meta Ray-Ban Display glasses or audio-only smart glasses with AI.

I don’t like deceiving people, so I ended up telling the bartender what was up to and not accepting the drink, but it got me thinking about what more nefarious people than I could do (and probably already are) with AI smart glasses.

Just imagine what I did on a bigger level: a team of hustlers at bar trivia silently tapping their temples whenever “which actor played…?” was asked would never lose. It’s pretty small stakes, but not hard to imagine. Hypothetically, a hacked pair of smart glasses could be programmed to read the cards in your poker hand and give you the probability of winning in real time, either through the display or whispered in your ear. They could, hypothetically, make counting cards in blackjack effortless and undetectable. Stretching it out further, hypothetically, glasses could scan others players for “tells” that they’re bluffing, or read micro-expressions to give a constantly updated read on opponents.

Along the same lines, imagine attending a self-help meeting, and the leader, who you have never met, says, “I’ve had a vision about you” and begins to describe something that happened in your life exactly. All it would take would be glasses that recognize your face (supposedly coming to Meta Displays) connecting to a social media feed, which is then displayed in real time to the leader. Or you could go more subtle and engineer small “serendipities” like mentioning a movie someone recently saw and having exactly their opinion. It would only take a few of these and maybe some mystical patter to convince people you are divine being they should definitely donate to.

How to spot tricky smart glasses

I could go on, but you get the idea. Luckily, there are some indications when someone is using tech hidden in their eyeglasses. The most important is a general understanding of the possibilities of this technology. If someone seems to know something they shouldn’t, ask yourself if their glasses could be the source of their power. Here are some more specific giveaways.

Look for identifiable kinds of smart glasses

Credit: Meta

The most popular display style glasses, Meta Ray-Ban Displays, are distinctive looking, with a fairly obvious camera in one of the corners and a specific look and branding. But other kinds of smart glasses, like the Even Realities G1s mentioned above, are obscure enough that most won’t recognize them, and so “normal” looking that most people wouldn’t pick them out of lineup.

Look for where the tech is hidden

Most smart glasses are still fairly bulky, so look for thick arms or frames where the wires are hidden. But again, that’s only most smart glasses; some are totally sleek, with imperceptible tech.

Look for a small glint

In most situations, the display in display glasses is not visible to anyone but the glasses wearer, but there’s still light being projected. In a dark room, you can see a green glow, and even if it’s not dark, the display windows are visible if the light hits it just right, as you can see here:

Credit: Stephen Johnson

But honestly, it’s subtle and hard to spot.

Listen for the sounds

Older styles of audio-only smart glasses can feed information to wearers, but the open-air speakers mean some sound is bleeding into the atmosphere. You can definitely hear smart glasses if you’re in a quiet room and you’re trying to. If it’s loud, operating glasses becomes problematic for the wearer.

Look for the source of control

Smart glasses have to be controlled somehow. Meta Display glasses are operated with a wrist band. G1 glasses’ AI agent is powered on by tapping on the frames behind your ear. Anyone who practices for a few hours could make these movements seem natural, but they’re there if you know what to look for.

Odd movements and speech

It doesn’t take advanced stagecraft to operate these kinds of glasses imperceptibly, but it does take something. Tells might include small glances upward to see the display, tapping on glasses, stilted speech while waiting for information to come in, and a reading-a-teleprompter style of talking. Watch for people repeating questions back. But understand, it’s hard to spot. When I was conning my bartender, I thought how I repeated the question back was obvious, but my wife said I just seemed a little odd, which suits the personality of a trivia whizz anyway.

Smart glasses are powerful tools, like a hammer or a calculator. Like any innocent tool, they can be used for nefarious things, so until manufacturers or regulators require obvious indicators, like flashing lights or visible controls, we have to protect ourselves by paying attention to these small cues and staying skeptical when someone seems to know more than they reasonably should.

A 61-year-old man in California is lucky to be alive after a combination of herbal supplements he was taking for joint pain ended up utterly wrecking his body, landing him in intensive care and in a delirious state for months. His case is reported in the Annals of Internal Medicine: Clinical Cases.

The man turned up at a hospital in San Francisco in bad shape, but with nonspecific problems that had begun just two days earlier. His back hurt, he was feverish, nauseous, bloated, and he hadn’t been eating much. He was so weak he couldn’t walk or get out of bed without help. His heart rate and breathing rate were high. His blood pressure was low. There were multiple wounds on his lower body in various stages of healing.

Initial exams and lab work revealed Staphylococcus aureus bacteria in his blood. There was also an abscess on his shoulder and an infection in and around his spine, which was worsening. Doctors wanted to perform a surgical procedure to relieve the pressure building up on his spinal cord and nerves, but his blood pressure was too low—and then he went into hemorrhagic shock from bleeding in his gastrointestinal tract. Doctors transferred him to the intensive care unit.

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A study involving 641 participants across 10 European countries found pesticides in every silicone wristband worn for one week. Researchers at Radboud University tested for 193 pesticides and detected 173 substances. The average participant was exposed to 20 different pesticides through non-dietary sources. Non-organic farmers had the highest exposure at a median of 36 pesticides. Organic farmers and people living near farms recorded lower numbers.

Consumers living far from agricultural areas had a median of 17 pesticides. The wristbands captured banned substances including breakdown products of DDT, which was prohibited decades ago, and insecticides dieldrin and propoxur. Paul Scheepers, the molecular epidemiologist who co-authored the study, said people cannot avoid exposure to pesticides in their direct environment.

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