Tinder responds to viral video about tricking facial scan Earlier this month, journalist Christophe Haubursin published a YouTube video called "Something very weird is happening on Tinder." In the video, which has over 1.5 million views as of this publication, Haubursin described a way to workaround to Tinder's Face Check feature — the facial recognition that is now required for all U.S. users as of Oct. 2025. What Haubursin and his interviewees discovered is a bunch of profiles that appeared normal, but the last photo on each profile was…off. It was usually a digitally-altered image of a different person in a weird scenario, like on a billboard or in a Victorian painting. And if someone matched with this person and asked about the image, they dodged the question. Instead, they asked to move the conversation to WhatsApp, where it became clear they were romance scammers. But how did they evade Face Check? Haubursin found that Tinder and Hinge, both owned by Match Group, only need one photo for the facial recognition software. So these people may be the actual person in that odd image, and able to pass the face scan. Then, they could grift images of other people from the internet to use for the bulk of their profile. You May Also Like AdultFriendFinder — readers’ pick for casual connections Tinder — top pick for finding hookups Hinge — popular choice for regular meetups Tinder didn't respond to Haubursin's request for comment, but it did respond to Mashable's. "We're aware of the concerns raised about our Photo Verification and Face Check features. In recent weeks, we've taken action to strengthen our Photo Verification badging logic, including requiring greater consistency across profile photos and additional reviews to achieve higher confidence in cases that warrant extra scrutiny," a Tinder spokesperson told
Apr 22, 2026 · via mashable.com
UK court determines police use of live facial recognition legal Live facial recognition can be deployed nationwide, a U.K. court ruled Tuesday, dismissing arguments from plaintiffs who said the technology is racially biased and is used arbitrarily. The cameras are typically placed in high-traffic areas and are used to match pictures of passersby to a watchlist of criminal suspects. London’s Metropolitan Police celebrated the decision, saying the technology has helped them secure 2,100 arrests — including of 100 sex offenders — since 2024. One of the plaintiffs, Shaun Thompson, said he was wrongly identified by the cameras and improperly threatened with arrest. The other, Silkie Carlo, is a privacy advocate with Big Brother Watch, an organization that fights against surveillance technologies. Thompson was threatened with arrest in February 2024 near London Bridge after he was mistakenly identified as his brother, who is on a police watchlist, according to a media summary provided by the court. He refused to provide police with fingerprints to prove his identity. The episode left him “distressed, angry, and fearful of being wrongly identified again,” according to the media summary. Thompson and Carlo did not argue that live facial recognition is illegal in principle, but instead contended that the Metropolitan Police’s policy leaves “too much discretion to police officers as to where, why and against whom LFR may be used” and thereby violates European human rights law. The decision comes at a time when the U.K. has been roiled by debate about law enforcement’s use of facial recognition technology. In December, the British Home Office said it wanted law enforcement to use facial recognition at “significantly greater scale.” It launched a public consultation to determine how to implement a more robust legal framework for its deployment. Hours after the announcement, the Home Office released a report
Apr 22, 2026 · via therecord.media
TOKYO -- Japan Airlines plans to give passengers the option of using facial recognition instead of tickets to board international flights by 2035, hoping to make the process simpler and more secure.
Japanese airline aims to implement system by 2035 that can replace ID, tickets
A passenger passes through a gate using Japan Airlines' facial recognition technology. (JAL)
TOKYO -- Japan Airlines plans to give passengers the option of using facial recognition instead of tickets to board international flights by 2035, hoping to make the process simpler and more secure.
Apr 22, 2026 · via asia.nikkei.com
Abstract Targeted and immune-based therapies, such as PD-1/PD-L1 inhibitors, have become standard treatments for advanced non-small cell lung cancer (NSCLC). However, accurately identifying patients who benefit from these therapies remains challenging due to tumor heterogeneity and variability in PD-L1 staining. To address this issue, we propose a non-invasive, model-driven computer-aided diagnosis framework that predicts PD-L1 expression directly from CT images under limited labeled data conditions. This study included 188 NSCLC patients from two university hospitals, of whom 49 had PD-L1 expression ≥ 50% and 139 had < 50%. We introduce a Multi-task Masked Autoencoder (MTMAE) with three key components: (1) a self-supervised masked image modeling strategy to leverage unlabeled data and improve data efficiency, (2) an integrated segmentation task to enhance tumor-focused feature learning, and (3) a Gabor-based generative adversarial network for data augmentation to improve generalization. The proposed model achieved an AUC of 0.735 and an accuracy of 0.724, outperforming traditional supervised pretraining (AUC 0.695) and single-task MAE (AUC 0.712). These results demonstrate that combining self-supervised learning, multi-task learning, and GAN-based augmentation enables a reproducible and standardized model-based prediction of clinically reported PD-L1 status from CT images, providing a non-invasive complementary tool for treatment decision-making. Data availability The datasets used and/or analyzed during the current study are not publicly available due to patient privacy concerns and institutional review board (IRB) restrictions but are available from the corresponding authors upon reasonable request and subject to appropriate ethical approval and data-sharing agreements. References Siegel, R. L., Miller, K. D., Wagle, N. S. & Jemal, A. Cancer statistics, 2023. CA Cancer J. Clin. 73(1), 17–48 (2023). Bray, F. et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA. Cancer. J. Clin. 68(6), 394–424 (2018). Siegel, R. L., Miller, K. D., Fuchs, H.
Apr 22, 2026 · via nature.com
Pair lose High Court challenge against Met use of Live Facial Recognition - as Sir Mark Rowley defends tech's rapid rollout The High Court has thrown out a legal challenge brought by a pair over the Met's use of facial recognition technology in London Two people have lost their High Court challenge against the Metropolitan Police over its use of Live Facial Recognition (LFR) cameras - as Sir Mark Rowley denied the force had moved too quickly with its expansion. Listen to this article Youth worker Shaun Thompson, who was misidentified by the technology, and Silkie Carlo of campaign group Big Brother Watch brought the claim. They had concerns over the arbitrary or discriminatory use of facial recognition technology across London. Met commissioner Sir Mark Rowley warned "clumsy regulations" could "strangle" the progress of facial recognition at birth - as he denied the force had moved too quickly in its expansion of the technology. Sir Mark made the comments after a High Court challenge brought against the Metropolitan Police over its use of facial recognition technology in London was thrown out by judges. The pair's lawyers had argued in a hearing earlier this year that facial recognition is "similar to a DNA profileâ and that installing the technology permanently would make it "impossible" for Londoners to travel without their biometric data being taken and processed. Read more: Sainsburyâs apologises after kicking innocent man out of supermarket in facial recognition mix-up Read more: Home Secretary defends controversial police facial recognition as thousands already arrested Scotland Yard defended the legal challenge, telling the court its live facial recognition policy was lawful. Lord Justice Holgate and Mrs Justice Farbey said in a judgment on Tuesday: âIn the context of promoting law and order in a large metropolis, the policy provides the claimants with
Apr 22, 2026 · via lbc.co.uk
Figures Abstract The classification of brain tumors is an unsolved problem associated with heterogeneity of tumors and fluctuations in imaging conditions. In this work, the investigation introduces a powerful novel framework, named LHW-Net that combines handcrafted features called local binary patterns (LBP), histogram of oriented gradients (HOG), and wavelet transform (WT). Within the LHW-Net framework, the extracted features are utilized in different machine learning classifiers, such as K-Nearest Neighbors (KNN), Random Forest (RF) and Support Vector Classifier (SVC). The results of the individual classifiers are further combined using probabilistic score fusion approach to improve classification performance. The effectiveness and robustness of the proposed work are validated by the achieved experimental results on commonly accepted benchmark datasets. Citation: Suryadevara T, Mahamkali N, Rafi M (2026) LHW-Net: An ensemble-based machine learning framework for brain tumor classification. PLoS One 21(4): e0346821. https://doi.org/10.1371/journal.pone.0346821 Editor: Hikmat Ullah Khan, University of Sargodha, PAKISTAN Received: August 9, 2025; Accepted: March 24, 2026; Published: April 21, 2026 Copyright: © 2026 Suryadevara et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability: All the data used in the publication are publicly available in repositories with following URL’s Brain Tumor MRI Dataset: https://www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset. Brain Tumor Image Dataset https://www.kaggle.com/datasets/denizkavi1/brain-tumor/data. Br35H Brain Tumor Detection 2020 https://www.kaggle.com/datasets/ahmedhamada0/brain-tumor-detection. Funding: The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project under grant number RGP2/588/46. Competing interests: The authors have declared that no competing interests exist. Introduction Brain is an important organ that is at the hub of the human nervous system and collaborates with the spinal cord in order to coordinate body
Apr 21, 2026 · via journals.plos.org
After testing facial recognition technology for entry to individual Epic Universe worlds, Universal has confirmed this will be used at select times. Epic Universe Photo Validation The Photo Validation Image webpage on the Universal Orlando Resort states the following: Effortless Entry to Your Favorite Epic Universe Worlds There’s nothing like stepping into the worlds of Universal Epic Universe. To keep your passage easy, you can use Photo Validation for Effortless Entry whenever Virtual Line return times are being used. Photo validation uses cameras on stanchions to recognize a guest’s face so they don’t have to present a ticket. Epic Universe guests saw these cameras and stanchions testing at Epic Universe portals earlier this month. Though the Universal Orlando website states the tech would be used when Virtual Line return times are required to enter a portal, Virtual Lines have rarely been necessary at Epic Universe. The park does not operate at full capacity. This new information could indicate Universal will raise the park’s capacity, especially if they are planning to open new offerings. In addition to potential expansions, a fireworks show is rumored and an existing restaurant still has yet to open. As we speculated in our original article, Universal could also use photo validation for individual worlds when companies buy out a section of the park for a special event, or for early entry for hotel guests and passholders. Back in 2023, Universal Destinations & Experiences CEO Mark Woodbury said Epic Universe would be the “most technologically advanced park,” using facial recognition technology for park entry. Other Universal parks also implemented the technology. What do you think of potential operational changes at Universal Epic Universe? Let us know on social media. For more Universal Studios news from around the world, follow Universal Parks News Today on Twitter, Facebook, and
Apr 21, 2026 · via wdwnt.com
U.S. Army Col. Kevin Kelly, Brooke Army Medical Center commander, and BAMC Command Sgt. Maj. Jan “Eddy” Miller present a certificate of appreciation to Susan Messer and Peanut during a volunteer recognition ceremony at BAMC, Joint Base San Antonio-Fort Sam Houston, Texas, April 17, 2026. The therapy dog team received the award for BAMC Non-Professional Civilian Volunteer of the Year. (DoW Photo by Garron Webster)
| Date Taken: | 04.17.2026 |
| Date Posted: | 04.21.2026 12:01 |
| Photo ID: | 9629379 |
| VIRIN: | 260417-D-SR136-1120 |
| Resolution: | 4500x3600 |
| Size: | 2.86 MB |
| Location: | FORT SAM HOUSTON, TEXAS, US |
| Web Views: | 11 |
| Downloads: | 1 |
This work, BAMC Volunteer of the Year 2026 [Image 3 of 3], by Garron Webster, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
Apr 21, 2026 · via dvidshub.net
Google introduced the Google app for Windows, a desktop application that puts a universal search box a keystroke away, featuring an Alt + Space shortcut that summons results across files, apps, Drive and the web. The app graduated from Search Labs and is now globally available in English for Windows users, delivering results without opening a browser tab. Built-in tools extend the search: Google Lens is integrated so users can click to search on-screen images, translate text, or solve problems directly, and a screen-sharing option lets people keep content visible while asking follow-up questions. An AI Mode provides conversational, context-aware answers with internet-connected citations. For consumers this compresses discovery into a single workflow, replacing repeated browser searches and mirroring macOS Spotlight behavior while adding Google-native features. The rollout signals intensified competition for desktop search, offering a faster, multimodal way to find information on Windows machines. Desktop Search Shortcuts Google Launches the Google App for Windows Trend Themes - Universal Desktop Search — A single, system-wide search input that surfaces files, apps, cloud content and web results could consolidate fragmented discovery workflows and redefine information access on personal computers. - Keystroke-activated Tools — Instant access to functionality via global shortcuts positions transient UI overlays as primary interaction gateways rather than secondary app windows. - Multimodal Search Integration — Combining text, image recognition and conversational AI in one interface enables richer context-aware queries that blur the line between local content and live internet knowledge. Industry Implications - Enterprise Software — Corporate productivity suites and knowledge management platforms stand to be upended by search tools that unite internal documents, SaaS apps and web resources into one discoverable index. - Operating Systems — Desktop OS vendors may face renewed pressure to embed competitive, privacy-aware universal search capabilities that shift user attention away from traditional
Apr 21, 2026 · via trendhunter.com
- By Ruth Huppach Moments before the start of the Australian Grand Prix 2026, Oscar Piastri’s home race came to an abrupt end. A crash on the warm-up lap meant his McLaren never took the grid, reducing the team to a single car before the race had even begun. In a sport as exposure-intensive as the F1 World Championship, that moment had implications beyond the competitive outcome. With one car removed, a significant share of McLaren’s potential broadcast visibility, and therefore sponsor value, was lost in real time. Three weeks later, both Piastri and teammate Lando Norris completed the Japanese Grand Prix, with Piastri on the podium. This contrast provides a clear lens through which to understand how sponsor exposure is generated in Formula One and the role driver participation plays in it. Using Mastercard as an example, we compared both events, assessing the impact of an absent driver on F1 sponsor visibility. A counterintuitive outcome: Japan outperforms Australia despite shorter race time At a headline level, the two races present differing conditions: Japan was shorter in duration (2hrs 2 mins, compared to Australia’s 2hrs 54mins) and featured two less Mastercard branded assets than Australia, so on the face of it offered less favourable circumstances for Mastercard. One might assume that 30% shorter coverage would yield 30% less exposure duration – however, the overall reduction in Mastercard exposure between Australia and Japan was only 24.8%, meaning Japan was proportionately better at establishing on-screen time for the Mastercard brand. When removing the two additional assets that appeared in Australia but did not receive airtime in Japan (Equipment and Spectator Clothing), the number of Mastercard exposures per hour in Japan was higher (see Chart 1 below), highlighting the fact that in Australia, with one car unable to start, exposure opportunities were vastly
Apr 21, 2026 · via yougov.com
Police to use live facial recognition at horse fair A police force will use live facial recognition (LFR) technology at an annual horse fair. Cumbria Police said it will deploy the technology at Appleby Horse Fair in June. Det Supt Dan St Quintin said the event, which brings thousands of people from the travelling community to the small Cumbrian town, was the force's largest operation each year and the use of LFR would help make the event as safe as possible. "We can identify the troublemakers and prevent them from committing crime [and] causing trouble so that the vast majority of people can enjoy the fair and feel safe," he said. St Quintin said the move follows the force seeking public comments last year about the use of LFR to police the fair. He said the "overwhelming majority" had backed the technology. Most people scanned by the system would have their images deleted in less than a second, said St Quintin. But those put on a specific watchlist, including those considered vulnerable, would be flagged by the system so that a police officer can intervene, he said. St Quintin said the force would only use the technology at large-scale events where it was "proportionate and necessary". It will be the second time that Cumbria Police will use the technology. In March, it was used at a Carlisle United match where the faces of more than 6,000 people were scanned. The force said the system made three accurate matches with none leading to arrests. It also said the system made no false alerts. It follows privacy campaigners losing a High Court challenge aimed at limiting the Metropolitan Police's use of the technology. As of March, the technology is used by 13 out of 43 police forces in England and Wales.
Apr 21, 2026 · via bbc.com
Home Office blocks anti-Islam influencer from entering UK A US-based anti-Islam influencer has been blocked from entering the UK by the Home Office. Valentina Gomez, who has unsuccessfully sought election in Missouri and Texas on an anti-Islam platform, previously filmed herself burning a copy of the Quran in a campaign video on social media. Home Secretary Shabana Mahmood decided that Gomez's presence in the country "would not be conducive to the public good". Gomez wrote on social media last week that she would be speaking at the Tommy Robinson-organised Unite the Kingdom rally in London on 16 May. Responding to the ban, she suggested she would attempt to enter the UK on a small boat, and dared the government to stop her. Sharing a video on X on Monday, Gomez wrote: "They can try to ban me, but they cannot ban the TRUTH. See you on May 16th." At a previous Unite the Kingdom march in London last September, Gomez referred to "rapist Muslims" and said Islam was "the sword that the left is using to destroy Christian nations". Gomez, who was born in Colombia, said she was coming to speak at the next Unite the Kingdom rally in May. Before the Home Office's decision to block Gomez on Monday, the influencer previously said her application to enter the UK had been approved. "VISA APPROVED," she wrote on Instagram last week. That prompted the Muslim Council of Britain to write to the home secretary expressing concern that Gomez was being allowed to come to the UK again. In a letter published on 17 April, it said allowing Gomez to speak on a public platform in the UK would "grant legitimacy and sends a troubling message about the selective application of Home Office standards". The organisation welcomed the decision and said
Apr 21, 2026 · via bbc.com
About
Press
Copyright
Contact us
Creators
Advertise
Developers
Terms
Privacy
Policy & Safety
How YouTube works
Test new features
NFL Sunday Ticket
© 2026 Google LLC
Apr 21, 2026 · via youtube.com
Police to use live facial recognition at horse fair A police force will use live facial recognition (LFR) technology at an annual horse fair. Cumbria Police said it will deploy the technology at Appleby Horse Fair in June. Det Supt Dan St Quintin said the event, which brings thousands of people from the travelling community to the small Cumbrian town, was the force's largest operation each year and the use of LFR would help make the event as safe as possible. "We can identify the troublemakers and prevent them from committing crime [and] causing trouble so that the vast majority of people can enjoy the fair and feel safe," he said. St Quintin said the move follows the force seeking public comments last year about the use of LFR to police the fair. He said the "overwhelming majority" had backed the technology. Most people scanned by the system would have their images deleted in less than a second, said St Quintin. But those put on a specific watchlist, including those considered vulnerable, would be flagged by the system so that a police officer can intervene, he said. St Quintin said the force would only use the technology at large-scale events where it was "proportionate and necessary". It will be the second time that Cumbria Police will use the technology. In March, it was used at a Carlisle United match where the faces of more than 6,000 people were scanned. The force said the system made three accurate matches with none leading to arrests. It also said the system made no false alerts. It follows privacy campaigners losing a High Court challenge aimed at limiting the Metropolitan Police's use of the technology. As of March, the technology is used by 13 out of 43 police forces in England and Wales.
Apr 21, 2026 · via bbc.com
The AI platform Clarifai deleted 3 million photos that it says it got from OkCupid to train its facial recognition AI, according to Reuters. The company also deleted any models that were trained using that data. Per the FTC’s investigation, Clarifai asked OkCupid — whose executives had invested in the company — to share data in 2014. The dating app then provided these user-uploaded photos, reports say, along with other demographic and location data. Per OkCupid’s own privacy policies, this behavior should have been prohibited. “We’re collecting data now and just realized that OKCupid must have a HUGE amount of awesome data for this,” Clarifai founder and CEO Matthew Zeiler wrote in an email to OkCupid co-founder Maxwell Krohn, according to court documents reviewed by Reuters. Though this incident appears to have taken place 12 years ago, the FTC did not open an investigation until 2019, when a New York Times article about Clarifai mentioned that the company had used images from OkCupid to build an AI tool that could estimate someone’s age, sex, and race based on their face. The FTC and OkCupid, which is owned by Match Group, settled the lawsuit last month. At the time, OkCupid and Match Group did not admit to the allegations that it deceived users by violating its own privacy policies, but Clarifai’s confirmation that it has deleted the data implies that the company did indeed get access to those photos. The FTC also alleged that since 2014, Match Group and OkCupid deliberately concealed this behavior and attempted to obstruct its investigation. OkCupid and Clarifai did not immediately respond to TechCrunch’s requests for comment. While the FTC is not able to fine companies for this type of first-time offense, the agency declared that OkCupid and Match are “permanently prohibited from misrepresenting or assisting
Apr 21, 2026 · via techcrunch.com
Verifying your device, please wait
Verification failed. Please try again.
Try Again
Verification failed. Please try again.
Apr 21, 2026 · via thesun.co.uk
Abstract Nowadays, legged robots often use speaker recognition or Ultra Wide Band(UWB) positioning to identify and track certain people. However, these identification methods need the active cooperation of the identified person, which limits their application. To solve this problem, we propose a “Symmetry-encoding and pseudo-Centroid loss optimized Gait recognition method” (SCGait). The experimental results show that our gait recognition method achieves a mean test accuracy of 82.2% on three subsets of the CASIA-B dataset, and the ablation studies show that our gait encoding method and loss function have good generalization ability. Next, we combine SCGait with Yolo to develop a person identification-tracking system for legged robots. The experimental results show that our system performs quite well in both home companion and industrial patrol legged robots. It achieves an identification accuracy of 91.8% and a FPS of 36 in our test video in a multi-person scene. The code is available at https://github.com/qplqplqpl/SCGait. Similar content being viewed by others Data availability Data is provided within the manuscript. The code is available at https://github.com/qplqplqpl/SCGait. References Miki, T. et al. Learning robust perceptive locomotion for quadrupedal robots in the wild. Sci. Robot. 7(62), eabk2822. https://doi.org/10.1126/scirobotics.abk2822 (2022). Chi, P. et al. Towards new-generation of intelligent welding manufacturing: A systematic review on 3D vision measurement and path planning of humanoid welding robots, Measurement, 116065, (2024). Tuasikal, D. A. A., Fakhrurroja, H. & Machbub, C. Voice activation using speaker recognition for controlling humanoid robot, in IEEE 8th International Conference on System Engineering and Technology (ICSET), 2018: IEEE, pp. 79–84. (2018). Li, S.-A. et al. Voice interaction recognition design in real-life scenario mobile robot applications. Appl. Sci. 13(5), 3359 (2023). Zheng, S. et al. Multi-robot relative positioning and orientation system based on UWB range and graph optimization. Measurement 195, 111068. https://doi.org/10.1016/j.measurement.2022.111068 (2022). Yang, X., Huang, X., Zhang, Y.,
Apr 21, 2026 · via nature.com
Abstract Accurate and efficient detection of road damage is essential for maintaining road safety and supporting intelligent transportation systems. While recent approaches leverage deep learning-based object detection frameworks, they often struggle with high computational demands and suboptimal feature extraction in complex environments. To address these challenges, we propose an enhanced object detection network for road damage detection based on the YOLOv8 architecture. Specifically, we integrate the Spatial and Channel Reconstruction Convolution (SCConv) module into the backbone to reduce feature redundancy while improving spatial and channel representation through a separation-reconstruction strategy. To enhance multi-scale feature fusion, we incorporate the Efficient Multi-Scale Attention (EMA) module into the neck, enabling adaptive spatial-channel attention without introducing significant computational overhead. Extensive benchmark comparison identifies YOLOv8l as a strong baseline for road damage detection. Building upon this, we embed SCConv within the original convolutional modules to achieve a lightweight network and enhance feature representation. We further explore multiple EMA integration strategies to identify an effective model configuration. Experimental results demonstrate that our best-performing model achieves higher detection accuracy than the baseline model, while maintaining computational efficiency. Similar content being viewed by others Data availability The research data used for the experiments in this paper can be found as followings: RDD2022 dataset is available at: https://github.com/sekilab/RoadDamageDetector, UAV-PDD2023 dataset is available at: https://zenodo.org/records/8429208. References Manurung, E. H., Sawito, K., Satoto, A. & Tuanany, N. Analysis of the causes of road damage. Civilla J. Tek. Sipil Univ. Islam Lamongan 7, 87 (2022). Tsubota, T., Fernando, C., Yoshii, T. & Shirayanagi, H. Effect of road pavement types and ages on traffic accident risks. Transp. Res. Procedia 34, 211–218 (2018). Tang, Z., Chamchong, R. & Pawara, P. A comparison of road damage detection based on yolov8. In 2023 International Conference on Machine Learning and Cybernetics (ICMLC), 223–228 (IEEE, 2023). Abdelwahed, S.
Apr 21, 2026 · via nature.com
U.S. Army Soldiers assigned to the 1st Armored Division secure their rucksacks after completing a station in the parking lot of Biggs Physical Fitness Center at Fort Bliss, Texas, April 2, 2026. The Soldiers participated in a Christian-themed Easter spiritual fitness event, focusing on training both physically and spiritually in recognition of the suffering of Jesus. (U.S. Army photo by Spc. Russell Savage V)
| Date Taken: | 04.02.2026 |
| Date Posted: | 04.20.2026 18:26 |
| Photo ID: | 9596084 |
| VIRIN: | 260402-A-CE530-1123 |
| Resolution: | 9215x5003 |
| Size: | 12.97 MB |
| Location: | FORT BLISS, TEXAS, US |
| Web Views: | 3 |
| Downloads: | 0 |
This work, Easter Physical Training Event [Image 6 of 6], by SPC Russell Savage, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
Apr 21, 2026 · via dvidshub.net
Ben McKenzie had a question: “When did WIRED die?” Specifically, the actor-director wanted to know when did WIRED “‘DIE,’ all caps.” McKenzie wasn’t asking for himself; he was engaging in the time-honored celebrity tradition of reading mean tweets. Although, in this case, the object wasn’t himself so much as the publication hosting the event. McKenzie, who famously played Ryan on The O.C. before becoming a leading voice of crypto skepticism, was sharing the stage with WIRED senior correspondent Andy Greenberg for the first of what will hopefully be a series of smaller events that we are calling WIRED@Night. On April 16, about 100 people gathered at event partner Ace Hotel Brooklyn to sip drinks from Aplos, Faccia Brutto, The Sorting Table, and Manojo and ponder the future of cryptocurrency. McKenzie, coauthor of Easy Money: Cryptocurrency, Casino Capitalism, and the Golden Age of Fraud, has a new independent documentary in theaters called Everyone Is Lying to You for Money. Greenberg, who often writes about crypto scams, talked to him about scenes from the book and movie, in which McKenzie traveled to places like crypto hub El Salvador to understand why the technology still has so much appeal despite its less-than-stellar reputation. One of McKenzie’s explanations? Male loneliness. “It’s the longing for community, actual community,” McKenzie said, noting that crypto exists online as a kind of extreme gambling, something that really exploded into the mainstream during the Covid-19 pandemic. Here’s to more IRL antidotes to that kind of digital isolation.
Apr 21, 2026 · via wired.com