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Using AI makes people less likely to admit they don’t know something

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AI and ML

Researchers found confidence increased even as accuracy fell

In 2026, AI still “hallucinates” and gives you wrong answers a good chunk of the time. Nevertheless, academics from French and Italian universities have found that access to AI advice suppresses critical thinking, making people more likely to confidently parrot incorrect information that the bot provided.

“For humans, the capacity to say, ‘I don’t know,’ is very important because it represents the recognition of the limits of our own knowledge,” said Valerio Capraro, associate professor at the University of Milano-Bicocca, in a phone interview. 

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“But now with AI, we can get an easy answer to virtually every question, so we wondered whether this would interfere with human capacity to say, ‘I don’t know,’ to suspend judgment.”

Capraro and co-authors Chiara Marcoccia (École Normale Supérieure) and Walter Quattrociocchi (Sapienza University of Rome) set out to see how access to AI advice affects people’s willingness to admit ignorance.

The title of their paper reveals their findings: “AI advice suppresses people’s willingness to say ‘I don’t know’, even when the advice is wrong and accuracy is incentivized.”

Capraro said that he and his colleagues designed a set of questions where large language models typically fail. In this instance, they asked study participants to answer questions about visual details in films, such as the color of the team’s uniform in Bend It Like Beckham or the vehicle Monica drives in Like a Cat on a Highway.

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The researchers expected these sorts of details would be absent from most model training data, which was the case for the model used in the experiment (Step 3.5 Flash). They also tested recent frontier models (GPT-5.5, Claude Sonnet 4.6, Gemini 3.5 Flash), which missed the vehicle question but often got other details correct.

They used Step 3.5 Flash because it was usually wrong, as explained in the paper, so any reduction in judgment could not be explained away as sensible delegation to a reliable tool.

“We divided human participants into two groups,” explained Capraro. “One group had to answer these questions without AI advice, and another group could ask the AI for advice. What we found is that in the baseline, 44 percent of people responded that they didn’t know the answer, so they suspended judgment. With AI advice, only three percent did so. So the judgment suspension collapsed.”

Capraro said that even more interestingly, accuracy collapsed when AI help was available. In other words, they trusted AI’s answer more than their own.

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“In the baseline, 27 percent of people gave the correct answer,” he said. “With AI advice, only nine percent of people gave the correct answer. So some would-be correct people asked for AI advice and became wrong.”  

Also, access to AI advice made people more confident that they were correct. The baseline level was 30 percent, he said, but with AI help, confidence rose to 76 percent. They believed the bots, despite the possibility of hallucinations.

“So basically people became much worse – the accuracy was only one third – but they were twice as confident,” he said.

The researchers also conducted the experiment with monetary incentives, which helped a bit. Willingness to suspend judgment and admit ignorance rose from 3 percent to 8 percent and accuracy rose from 9 percent to 16 percent but was still below the baseline of 44 percent and 27 percent respectively.

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While the researchers chose questions about film trivia, they contend their findings can be generalized across other domains.

Capraro said that he believes this is an issue that needs to be dealt with at a societal level through AI literacy and education policy initiatives. “Of course model providers should try to help, but I would imagine that the incentives are not very much aligned,” he said. “A much more promising approach would be at the educational level.”

“I’m very much concerned for children, because adults have learned critical thinking. But for children who basically are born with these systems, the risk is that they don’t even learn the basic critical skills.” ®

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How To Clean Mold Out Of Your Garage (And Make Sure It Doesn’t Come Back)

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We may receive a commission on purchases made from links.

For many car owners, the garage is the most important area of the home, whether it’s used to keep classic cars safe from the elements, work on project cars, or even store a collection of handy car repair tools. That’s why something like mold can feel like a living nightmare. Unfortunately, dark, damp spaces with little ventilation attract mold quite easily, which is why garages are particularly susceptible.

If you spot mold, you should tackle it with a mold removal product like 30 Seconds’ Pro Mold and Mildew Stain Remover before it spreads. You can also make your own mixture by mixing warm water with distilled white vinegar, detergent, or bleach.

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Before you start working, make sure the garage is well-ventilated. Put on gloves, goggles, and a face mask. Spray the area with your solution of choice and let it sit for a while. Then scrub the area with a stiff-bristled brush. Repeat this process until the mold is gone. Then, rinse it and leave the area to dry completely.

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How to stop mold from coming back

Once the mold is gone, you will want to ensure it stays away for good. Get rid of junk in the garage, like old cardboard boxes or furniture, as mold can grow on these surfaces or hide behind them. Ideally, you should keep your tools organized to reduce clutter. Don’t put anything wet or perishable inside your toolboxes, and make sure nothing leaks. If there is any moisture in the garage, you should address it as well.

If you sense that your garage is on the humid side, you may want to bring in a dehumidifier. Uncertain about spending the money? Aluminum foil can help you check if you need one. A fan could also be useful, as improving the garage’s airflow will help greatly. Better ventilation will be beneficial, as will proper floor drainage. Finally, you can also add more natural light so the garage is less dark and damp — think large windows or a garage door with window panels.



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It’s too easy to find the real address behind Apple’s Hide My Email

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AppleInsider can confirm that it’s pretty easy to get somebody’s real email from Hide My Email, but it’s also not much of a concern. If you’re using the feature as intended as a spam filter, there’s really no issue at all.

The Hide My Email feature allows iPhone, Mac, and iPad owners to sign up for websites and services using an anonymous email address. All emails sent to that address are then invisibly forwarded to the user’s real email address, preserving their privacy.

However, it has been reported that the feature can be bypassed, allowing someone to see a user’s real address. Apple is yet to fix the issue, despite having known about it for more than a year.

The steps required to bypass Hide My Email have not been made widely available. But we’ve now learned how it works.

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A trivial process

We won’t be sharing the steps required to identify the real address behind a Hide My Email one. Given the fact that the exploit is still live and Apple is seemingly unable, or unwilling, to fix it, sharing the details would be problematic for obvious reasons.

However, what we will say is that bypassing Hide My Email is a trivial task. It’s something that anyone would be able to do, assuming that they know the fake address created by the Hide My Email feature.

With that in mind, it’s all the more incredible that the issue is yet to be addressed by Apple.

Apple claimed that it had done just that in March 2026. But testing by Tyler Murphy, the person who originally discovered the flaw, found that not to be the case.

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Murphy was also told at the end of May 2026 that a fix was “expected in the coming weeks.” As of July 2026, that fix has yet to arrive.

Limited risk

There is a potential reason that Apple may not be treating this issue as a priority. It’s unclear just how much of a privacy risk this issue is.

Places like grocery delivery venues, media sites, and so forth don’t care that much about your real email, and aren’t going to go diving looking for it with an exploit. You also probably won’t get outside spam from them to the email alias generated, unless you’ve opted in to that.

As mentioned, anyone wishing to gain someone’s real email address must first know the address created by Hide My Email. That’s likely to severely limit the attack vector.

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That hasn’t stopped a new lawsuit from being filed, however. The ambulance-chasing complaint accuses the company of false advertising, fraud, breach of contract, and other violations tied to Apple’s marketing of Hide My Email, without any real damage to the filer or class.

Intended use meets privacy confusion

“I signed up with hide my email on my iPhone on my home network after following a link from social media” is like putting a screen door on a submarine, and not really the intent of the feature. It’s also not really intended to impenetrably shield email senders from consequences of their actions or words, sent across the internet.

After all, we already know that Apple surrenders identity of the real sender of an email hidden by Hide My Email with a subpoena.

It’s also vital to remember what the Hide My Email service is for, and how Apple was very clear at release on when and how to use it. It’s unclear whether the filer of the lawsuit is aware of either.

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At its core, Hide My Email creates a new email address that Apple device owners can use to sign up for online services and websites. People can use that address rather than give these services and websites their real address.

The use case is simple. If our fictitious Apple customer then receives spam messages to their Hide My Email address, they immediately know. The address was leaked by, sold by, or stolen from, the one website or service that it was given to.

At this point, the user has a choice. They can delete the compromised Hide My Email address and give the website or service a new one. Or, they can ditch it entirely and use a different website or service. They’d also give it a new Hide My Email-created address, too.

Either way, the compromised address would be deleted, stopping any spam emails in their tracks.

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The catch? If the spammer is the determined sort, they could use this exploit to learn the user’s real email address. So long as they did it before the compromised Hide My Email address was disabled, of course.

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Best OLED TV and RGB LCD TV Revealed at the 2026 TV Shootout

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Every year, the top performing TVs are brought together into one room to determine which models offer the best video performance, and which don’t quite measure up. It’s called the “TV Shootout” and it’s hosted by electronics dealer Value Electronics. This year’s event included six of the top performing OLED and RGB backlit LCD TVs from Sony, LG and Samsung and it was held yesterday (July 18, 2026) at the company’s headquarters in Scarsdale, NY.

Value-Electronics-Exterior-900px
Value Electronics hosted its 25th annual TV Shootout at its headquarters in Scarsdale, NY.

The Competitors

With Panasonic effectively dropping back out of the high end TV market in the United States (at least for now), and with TCL and Hisense choosing not to participate, just three manufacturers were represented this year: LG, Samsung and Sony. Each manufacturer was represented by one OLED TV and one RGB-lit LCD TV in the fight, for a total of six models.

OLED TV Models Competing in the 2026 TV Shootout (65-inch):

2026-oled-tv-shootout

RGB-Backlit LCD TV Models Competing in the 2026 TV Shootout (75-inch):

2026-rgb-tv-shootout

Although all six TVs were installed in the same room, along with four professional Sony broadcast monitors to use as reference displays, the competition was actually split into two groups: OLED on the left (all in 65-inch sizes) and RGB-lit LED/LCD TVs on the right (all in 75-inch sizes). Unlike in previous years, the judges were split into two groups as well: one group to judge the OLED TVs and one group to judge the RGB LCD TVs.

PXL_20260718_205306017-TV-Shootout-2026-All-Six-TVs-900px
The 2026 TV Shootout featured three OLED and three RGB-lit LCD TVs. Models included (from left to right): Samsung S95H OLED, Sony BRAVIA 8 II OLED, LG G6 OLED, Sony BRAVIA 9 II True RGB, Samsung R95H Micro RGB and LG MRGB95 Micro RGB EVO TVs.

OLED vs. RGB Backlit LCD TV

OLED (Organic Light Emitting Diode) TVs use self-illuminating pixels to create the on-screen image. This allows them to create perfect black levels and outstanding contrast as each individual pixel and be turned fully on or fully off, or anywhere in between. If a star in deep space lights up exactly one pixel and is surrounded by pitch black space, that’s not a problem for an OLED TV.

QD OLED Diagram
QD-OLED TVs include a base layer of self-illuminating blue OLED pixels along with a Quantum Dot layer to generate colors.

LG’s G6 OLED TV, the company’s flagship model, uses a quad-stack Tandem RGB OLED (also known as “W-OLED” (White OLED) because it uses a white OLED element. But each white OLED uses red, green, white and blue sub-pixels for color reproduction. Meanwhile Samsung’s S95H and Sony’s BRAVIA 8 II OLED TVs use QD-OLED (Quantum Dot Organic Light Emitting Diode) technology in order to create the image. QD-OLED uses a blue OLED pixel combined with quantum dot technology to create the on-screen image and colors. While both technologies are capable of comparable brightness and contrast, QD-OLED TVs typically have slightly wider color gamut, which means they can reproduce a wider range of colors than W-OLED TVs.

RGB backlit TVs, sometimes known as “Micro RGB” TVs, differ from traditional LCD TVs in that they use multi-color red, green and blue LED backlight elements instead of a single color blue or white backlight. This allows RGB-lit TVs to offer higher efficiency, higher brightness and wider color gamut reproduction. But because RGB lit LCD TVs are still actually LCD TVs, there is no one-to-one match from lighting zone to each pixel. One RGB backline “zone” may serve hundreds or even thousands of individual pixels, so RGB-lit LCD TVs can have issues with uniformity, elevated black levels, blooming and haloing. When viewing a single-pixel star against a black space background, you will normally see a faint glow around the lit up pixel, due to the backlight bleeding through the LCD shutters. And that’s very difficult (if not impossible) to completely fix. But you can make it better by including a large number of backlight zones and use local dimming to control how these lighting zones operate.

All of the RGB-lit LCD TVs in this year’s Shootout include advanced local dimming, with a high number of dimming zones, so many of the traditional drawbacks of LCD TVs are minimized. We also noticed that all three of this year’s RGB-lit TVs offered off-axis viewing that was superior to most other LCD TVs, though still not as good as OLED TVs.

Sony Mini LED vs New True RGB Backlight 900 px
While the Sony BRAVIA 9 Mini LED TV on the left features a single color blue backlight, the Sony BRAVIA 9 II True RGB TV features individual red, green and blue lighting elements for better color reproduction. Note: these TVs are shown with their front LCD panels removed and just the raw backlight unit exposed.

Managing Ambient Lighting

In terms of bright room viewing, four of the TVs in this year’s competition include some form of advanced glare reduction to minimize the reflection of in-room light fixtures or sunlight. The Samsung S95H and R95H use Samsung’s “Glare Free” screen coating, now in its third generation. The Sony BRAVIA 9 II uses Sony’s new “Black Screen Immersive Pro” anti-glare coating. The LG G6 OLED TV uses LG’s new “Reflection Free Premium” coating. All of these are effective at minimizing the direct reflection of ambient light, but they can impact perceived black levels.

Originally, each TV was going to be judged both with its best “out of the box” default video mode selected as well as in bright rooms, but some technical glitches with the peripheral equipment caused delays so those two parts of the testing were omitted. All of the evaluations that we did were done with professionally calibrated TVs in a light-controlled dark room setting. But having seen and experienced all three flavors of glare reduction, we feel that Sony’s Black Screen Immersive Pro coating is most effective at minimizing the reflection of ambient light without excessively washing out colors or changing the hue of black backgrounds.

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Judges Assemble

As in previous competitions, all TVs were evaluated by professional judges from within the A/V community: tech journalists (including yours truly), content creators, trained calibrators and creative video content professionals. The pool of ten judges was split with five judging the OLED TVs and five judging the RGB-lit LED LCD TVs.

In addition to the TVs themselves, which were all professionally calibrated by expert ISF calibrator DeWayne “D-Nice” Davis, there were four professional Sony broadcast monitors on hand (BVM-HX3110), which typically sell for around $40,000 each. These are the pro monitors used by studios and mastering houses worldwide when grading and mastering movies and TV shows for home use. Judges were instructed to compare the image on the TVs with those on the broadcast monitors and rank each TV from 1 (not good) to 5 (best) based on how close they came to the reference monitors.

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Photo of 2026 OLED TV Shootout at Value Electronics
Judges evaluate three OLED TVs for skin tone accuracy at the 2026 TV Shootout.

The evaluation featured video test clips, stills and real world movie scenes chosen to highlight specific areas of video performance such as contrast, brightness, color volume, color accuracy, motion reproduction, HDR tone mapping and image uniformity. After the tests, the judges’ scorecards were tabulated in order to crown a new “King of TV” for 2026. To be precise, two kings were crowned: one for OLED and one for RGB-lit LCD TVs.

As they have since the very first TV Shootout in 2004, consumers can use the results of the event and the judges’ scorecards to select the best TV for their own liking and specific use-case. Performance in both bright and light-controlled rooms will be considered.

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As in previous years, it “takes a village” to put the event together, with many folks working behind the scenes to prepare for and run the event. It also takes a fair amount of gear. AVPro Global supplied the latest state-of-the-art switching, distribution, and test equipment for the event. Magnetar’s UDP-900MKII flagship 4K universal disc player and Kaleidescape’s Strato K 8K-capable Media Player were the reference sources for content with a Panasonic UHD Blu-ray Player also stepping in when the Magnetar player started misbehaving.

And the Winners Are…

2026-tv-shootout-winners
The Winners: 65-inch Samsung S95H QD-OLED TV and 75-inch Sony BRAVIA 9 II True RGB TV

Since the event was effectively separated into two parallel contests, with one set of judges rating the OLED TVs and another set of judges rating the RGB/LCD TVs, two winners were declared for 2026, a “King of OLED TV” and a “King of Micro RGB TV.” The winner in the OLED category, by a pretty healthy margin was the Samsung S95H QD-OLED TV. The winner in the Micro RGB category was the Sony BRAVIA 9 II True RGB TV. And even though they were effectively two different contests, the Samsung S95H had such higher scores overall that it was declared the overall winner of the 2026 TV Shootout.

The final detailed scorecards from the event have not yet been published, but when they are, we will be sure to update this article.

The Bottom Line

Having spent a significant amount of time with both Sony TVs and both Samsung TVs, and also having more limited hands-on time with both LG models, I was not surprised by the results. OLED TVs still have significant advantages over LCD TVs, even advanced RGB-backlit LCD TVs, particularly when it comes to picture uniformity, black levels, contrast and color saturation. I rated the Samsung S95H as the winner in my own judging, but I would personally take any of the OLED TVs over all of the Micro RGB TVs as my personal television.

The LG OLED did have some issues with color reproduction, with cooler whites and slightly muted colors, but these were only noticeable when compared to the reference monitors and to the two other OLED competitors. At home with a single TV on your wall or credenza, you’ll definitely appreciate the OLED TV’s deep inky blacks and outstanding contrast. And even though the Sony BRAVIA 8 II QD-OLED TV won last year’s TV Shootout (and its predecessors won for the prior three years), that TV is starting to show its age in processing, compared to the brand new Samsung S95H and LG G6. In my opinion, the LG G6 had stronger overall performance than the BRAVIA 8 II OLED, and any of the RGB-lit LCD TVs, but the Samsung S95H dominated the event due to its strong overall performance.

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But does this mean everyone should go out and buy a Samsung S95H? Not necessarily. Some potential buyers are turned off by the S95H design, which features a large floating metal frame around the outside out the TV (which is not removeable). In my opinion, it makes the TV look more like artwork, particularly when it’s displaying art from the Samsung Art Store, but others prefer a more subtle narrow bezel. Also, the Samsung “Glare Free” matte screen, while extremely effective at reducing reflected light, can raise the black levels and add a subtle hint of purple to those blacks when viewed in a bright room. But if this bothers you, you can always just turn off the lights or draw the curtains.

Meanwhile, for those who are looking for a very large screen TV (above 83 inches), OLED is not really a viable option. Micro RGB TVs like the ones that competed in this year’s TV Shootout are available in sizes up to 115 inches diagonal. With the shift to RGB backlighting, LCD TV continues to improve in picture quality and the benefits of wider color gamut reproduction and higher brightness make them a solid choice if size, bright room viewing and picture performance are important to you.

While there is sure to be some controversy with the results (no one likes when their personal favorite TV doesn’t win), the TV Shootout remains one of the premier TV comparison events as it pits the top performing TVs against each other and hits them with a wide range of content to reveal each of their strengths and weaknesses. The event’s results should help inform TV buyers’ choices through the remainder of 2026 and beyond.

Where to Buy the Winning TVs?

For more information, all TVs are available at Value Electronics, Best Buy, and Crutchfield.

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And special thanks to Robert and Wendy Zohn at Value Electronics for hosting the event.

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GTA 6 hacker who was sentenced to life in a secure hospital is moved to prison ahead of retrial

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In brief: Remember the teenage GTA 6 hacker who was sentenced to life in a secure hospital facility in 2023? The former Lapsus$ member has been released from the unit and is now in prison awaiting a retrial for his crimes.

Back in September 2022, one of the biggest leaks of all time hit the internet when over 90 videos and screenshots of the still-unreleased GTA 6 were posted to the GTAForums. They originated from a then-18-year-old hacker who also claimed to be behind an Uber breach that occurred a few days earlier.

A couple of days after the leak, the City of London Police arrested the hacker, Arion Kurtaj, thanks to assistance from the FBI and NCCU. He was accused of causing almost $3 million of damage to Uber and accessing around 5,000 Revolut customers’ information. Kurtaj and a 17-year-old were also accused of blackmailing BT Group (Britain’s biggest broadband provider) and mobile operator EE between July and November 2021; they demanded a $4 million ransom. The pair are also alleged to be behind a hack on Nvidia.

In July 2023, Kurtaj was assessed by psychiatrists as unfit to stand trial due to his “acute autism.” That meant a jury could only determine whether he committed the crimes he was accused of, rather than finding him guilty or not guilty.

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A mental health assessment also found that he continued to express an intent to return to cybercrime as soon as possible, adding that “he is highly motivated” to engage in more criminal activities.

sentenced in December 2023 the court heard that he will remain at a secure hospital for life unless doctors deem him no longer a danger. But he is now out and will face a conventional criminal trial in November. I have been trying to get this information confirmed with police for weeks after…

– Joe Tidy BBC News (@joetidy.bsky.social) 14 July 2026 at 15:38

Even being under police supervision didn’t stop the hacker. While staying in a hotel under police protection and despite having his laptop confiscated, Kurtaj was able to hack Rockstar using an Amazon Fire TV Stick provided in the room and a newly purchased phone, keyboard, and mouse. He broke into Rockstar’s internal Slack system and threatened to release the source code if the company did not contact him on Telegram.

Kurtaj was ordered to remain in the secure hospital indefinitely, unless doctors determined that he was no longer a danger. BBC correspondent Joe Tidy says he has now been moved out of that facility and into a regular prison awaiting retrial in November. Ironically, it’s the same month GTA 6 finally launches on consoles.

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Tidy said it’s unclear why Kurtaj has now been deemed fit to face a conventional criminal trial after spending more than two years of being in a secure hospital.

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Are you a Necronomicon expert? Prove it by taking on our tricky Evil Dead horror franchise quiz

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To celebrate Evil Dead Burn coming out in theaters this month, I’ve put together the ultimate quiz to test fans of the popular horror franchise.

Ever since The Evil Dead was released in 1981, the series has been a favorite among genre fans and is widely recognizable, but have you been paying attention to it? I bet you won’t be able to get a perfect score on my quiz, so now’s your chance to prove me wrong!

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ASUS Pad T3201 Launched in India With OLED Display: Price, Features, and Availability

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ASUS has expanded its product lineup in India by introducing the ASUS Pad T3201. The new tablet combines a premium OLED screen, performance, and portability. It has been built using the MediaTek Dimensity 8300 SoC and targets those users who like to stream, game, study, and work while traveling. The tablet’s launch date is set for August 6.

ASUS Pad T3201 Specifications and Features

image for ASUS Pad T3201

ASUS has designed the Pad T3201 for both entertainment and productivity. It is equipped with a 12.2-inch dual-layer OLED screen featuring 2.8K resolution and a 144 Hz refresh rate. The display can deliver up to 2,000 nits of brightness and support the 100% DCI-P3 color gamut, making it perfect for entertainment such as watching movies, gaming, and reading. The phone runs on the MediaTek Dimensity 8300 chipset and features 8 GB of LPDDR5X RAM. It runs on Android 16 and ensures efficient use for the user. ASUS has also equipped the device with Wi-Fi 6E, which provides a reliable, fast internet connection. Buyers can choose 128GB or 256GB storage, while a microSD card expands storage up to 1TB.

The ASUS Pad T3201 packs a 9,000mAh battery with 45W fast charging support. ASUS says the battery charges from 0 to 50 percent in about 30 minutes. The tablet weighs 523g and measures 6.5mm thin, making it easy to carry. It also includes quad speakers with Dolby Atmos for immersive sound. For photography and communication, the tablet includes a 13MP rear camera and a 5MP front camera. It supports ASUS Pen 2.0, a Bluetooth keyboard, and GlideX for seamless file sharing. ASUS also bundles a protective folio case with the device. Users can also use Google Circle to Search without switching apps.

Launch and Availability

The ASUS Pad T3201 is set to launch in India on August 6 at 12 PM. This product will be sold both online at Flipkart and the ASUS E-Shop website. Offline purchasing is possible at ASUS and ROG stores, as well as Reliance Digital, among others. At the moment, ASUS has not announced the tablet’s price.

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Week in Review: Most popular stories on GeekWire for the week of July 12, 2026

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Get caught up on the latest technology and startup news from the past week. Here are the most popular stories on GeekWire for the week of July 12, 2026.

Sign up to receive these updates every Sunday in your inbox by subscribing to our GeekWire Weekly email newsletter.

Most popular stories on GeekWire

JPMorgan Chase bets on Seattle to build its AI control layer

JPMorgan Chase is building out a new AI software infrastructure team, with a major presence in Seattle, focused on running AI across its data centers and outside providers in a way that controls costs, protects its intellectual property, and avoids tying its fortunes to any one vendor. … Read More

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Subway Sandwich Computers Get a Second Life as Gaming Machines

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Subway Sandwich Computer Menu Board Gaming Machine
Garkus walked into his local Subway and walked out with the exact machines that used to show footlong prices and cookie deals. Staff were swapping the old digital menu boards for newer ones, and the discarded units headed straight into a trash pile until he asked if he could take a few. Three Advantec DS081 media players and four commercial displays later, the experiment began.



These super-slim, fanless boxes sat in a sandwich shop for years, running continuously. They aren’t particularly high-end, but they still have some life in them. Under the hood, there’s a sixth-generation Intel Core i3-6100U processor clocked at 2.3 GHz, four gigabytes of DDR4 RAM that can be expanded to eight if necessary, a 64-gigabyte solid-state drive, and Intel HD Graphics 520. They have the conventional ports: HDMI, USB 3.0, Ethernet, and a micro PCIe slot.

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Subway Sandwich Computer Menu Board Gaming Machine
He began by upgrading the RAM, and one of them received a full eight-gigabyte stick. Then came Windows 10 installation, which loaded quickly and dumped the user to a normal desktop rather than the Subway interface. Then he attempted to install macOS on one of them and was successful, even fooling the system into thinking it was a 2016 MacBook Pro, despite the lack of graphics acceleration. The third one received Bazzite, a Linux distribution created expressly to assist get games operating on obsolete hardware. SteamOS was difficult to get operating since the storage interface was incompatible.

Subway Sandwich Computer Menu Board Gaming Machine
So he fired up Peggle on the Bazzite machine, and it worked perfectly. It’s a good game to have on that system. Then he tried Minecraft, which handled all of the TNT explosions admirably, albeit at a slower frame rate. He even attempted to run Grand Theft Auto V on the Windows PC, but it just couldn’t handle the workload due to a lack of fans and limited power delivery.

Subway Sandwich Computer Menu Board Gaming Machine
Surprisingly, games that don’t require a lot of power appear to run fairly well on these older systems. The compact size and low power demand make it ideal for older console titles such as PS2 and original Xbox games. He dug into the old Subway software, and it appears that they have a huge number of menu templates, complete with files for things like Submelts and big cheese steaks, but no secret treasures, just the standard signage materials.

Subway Sandwich Computer Menu Board Gaming Machine
Then disaster almost struck during testing when one of his testers knocked over a Pepsi, and he believed everything was lost, but it turns out these little computers are incredibly resilient. They continue running even after they have finished serving sandwiches.

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Save $200 on 13-inch M4 iPad Air 512GB at Amazon

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Apple’s latest iPad Air is $200 off when you opt for the M4 model with 512GB of storage during Amazon’s weekend sale.

The $200 discount at Amazon brings the Wi-Fi 13-inch iPad Air with 512GB of storage in Blue down to $1,049.

Save $200 on 13″ iPad Air M4

Considering Apple raised prices last month across the iPad line, this deal is highly competitive and comes in within $50 of the lowest price on record.

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Rob Gurzeev on why AI has changed cybersecurity’s biggest blind spot

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TL;DR

AI makes it trivially easy for anyone in an organization to deploy internet-facing applications, often outside established security processes. CyCognito CEO Rob Gurzeev says the resulting blind spots are more dangerous than known vulnerabilities. His answer: continuous, outside-in attack-surface mapping that validates what is actually exploitable rather than scanning a known asset list.

Artificial intelligence is transforming how software is built, deployed, and secured. While AI has accelerated innovation across industries, it has also expanded the number of internet-facing assets organizations need to protect. According to Rob Gurzeev, CEO and Co-Founder of CyCognito, the challenge is no longer just identifying known vulnerabilities. It is understanding what is actually exposed, how those assets connect, and how attackers can exploit them.

Drawing on years of experience in cybersecurity and intelligence, Gurzeev believes many organizations still operate with an incomplete view of their attack surface. That gap, he says, is becoming more dangerous as AI makes it easier than ever to create and expose new applications.

A security mindset built on finding the unknown

Gurzeev’s path into cybersecurity began long before AI entered the picture. As a teenager, he spent time exploring computers and Internet Relay Chat (IRC) communities, where curiosity about hacking first took hold. That interest eventually led him to an intelligence unit, where he worked on reconnaissance and attack-surface operations.

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Honestly, this work chose me more than I chose it,” Gurzeev said. He explained that the role often started with little more than a name and required finding “the path of least resistance into something that mattered.

Those experiences continue to shape how he approaches cybersecurity today. “I was taught you never actually know what reality is. You have to go find it. Validate it,” he said. “Most of the security industry was built the other way around, on the assumption that you already know where your stuff is. That gap is the whole reason CyCognito exists.

Mapping the attacker’s view

CyCognito approaches security by working from the outside in, beginning with nothing more than a company’s name. The platform maps everything exposed to the internet, including forgotten or unmanaged assets, then tests those systems to identify weaknesses that could be exploited by attackers.

In a nutshell, we map everything a company has exposed to the internet, then trace the handful of paths that actually lead to its internal networks and sensitive data,” Gurzeev explained.

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Rather than relying solely on vulnerability scans, the platform validates which weaknesses are genuinely exploitable. According to Gurzeev, “If I had to name the one thing that makes us unique, it’s that our platform thinks like an attacker. That should be obvious. It isn’t.

The scale of today’s attack surface

Modern enterprise environments have grown far beyond what traditional security programs were designed to manage. Gurzeev estimates that a large enterprise typically exposes around 100,000 applications, devices, and cloud assets to the internet, while some organizations have significantly larger footprints.

Our single biggest customer has around 100 million things an attacker can interact with from the outside,” he said, adding that external attack surfaces change by one to three percent every day.

Despite that scale, many organizations continue to focus security efforts on only a small fraction of their environments. “Most security effort goes to a few hundred or a thousand key assets. What about the rest?” Gurzeev asked. “Guarding the front door while you leave the windows open is not a strategy.

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AI is expanding the problem

The rapid adoption of AI has made creating and deploying applications much easier across organizations. Employees outside traditional development teams can now build internet-facing tools using AI-powered coding assistants, often without going through established security processes.

Today, anyone and everyone can deploy an app,” Gurzeev said. “Someone in HR or finance can spin up an application with a tool like Claude Code or Lovable and expose it to the internet, on purpose or by accident.

He believes AI has shifted from being a supporting technology to becoming part of organizations’ core infrastructure. “As recently as six months ago, AI was bolted onto the edge of the business. Now it runs through the core, which means these systems aren’t adjacent to the attack surface anymore. They are the attack surface.

The challenge extends beyond application growth. Gurzeev pointed to research suggesting AI-generated code introduces vulnerabilities at significantly higher rates than code written entirely by humans. More importantly, he argued that much of this software bypasses the secure development processes organizations have spent years building.

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The honest answer is we’re defending more of something less safe, and we can’t yet measure exactly how much. That uncertainty is itself the risk,” he said.

Continuous testing for an AI-driven era

As attackers increasingly adopt AI, Gurzeev argues that periodic assessments are no longer enough. Security teams need continuous visibility into what is exposed, what can actually be exploited, and which issues require immediate remediation.

Keeping up takes three things, all continuous,” he said. “Know what you have exposed right now. Know which of it an attacker could actually break into, across all of it, not a sample. Fix what matters in hours.

CyCognito’s latest release focuses on continuous AI security testing by combining full attack surface discovery with AI-powered validation. Rather than limiting advanced testing to a small number of high-priority assets, the platform maps an organization’s entire internet-facing environment before applying AI where reasoning is needed most.

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According to Gurzeev, the platform continuously performs more than 100,000 automated checks for known issues, allowing AI to focus on identifying complex attack paths that conventional scanners often miss. As those attack chains are validated, they become repeatable automated tests, expanding coverage over time.

Looking ahead, Gurzeev remains optimistic that defenders can regain the advantage. “The winners won’t be the ones who spend the most,” he said. “They’ll be the ones who use it most efficiently, getting the most out of every dollar of compute by pointing it with context instead of running it blind. Do that, and defenders catch up.

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