<p>Two AI wheelchairs got in each other's way at the Changi Airport, Singapore, and it turned out to be a hilarious encounter. A passenger recorded the epic moment, showing the wheelchairs stuck to each other, with both unable to move. The tech equipment could not decipher that the object in their way wasn't a human, but one of its own. One of the wheelchairs' audio systems kept repeating, "Excuse me, please step aside", something that keeps humans out of their way while they move around. The viral video shared by Rishi Budhrani shows the lights blinking on the two wheelchairs, as one of them keeps saying, "Please step aside." The person recording the video says, "I think the robots have a problem." He adds, "That's the problem with AI when there is no human intervention." The wheelchairs remain entangled, as the person says, "I can't even help them because they don't want to be helped."</p><p>Also Read: <a href="https://www.wionews.com/trending/trump-sleepless-night-truth-social-timeline-of-posts-ai-jesus-photo-1776414498732"><strong>Viral timeline reveals Trump’s sleepless Truth Social spree on night he posted AI Jesus photo</strong></a><br>&nbsp;</p>

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<p>&nbsp;</p><h2><strong>Netizens react to AI wheelchair tussle at Changi Airport</strong></h2><p>One of the wheelchairs finally gives way to the other, as the robots fixed the problem on their own. The video was captioned, "Autonomous wheelchair drama at Changi Airport T3. Tense moment, but they settled their issues, and someone had to give way." It added, "Even AI will eventually make way for the next big thing." Changi Airport's Instagram page also reacted to the incident and wrote, "they just needed a little time to sort it out on their own." Other users laughed at the fun moment, saying that the chairs seemed to be in a staring contest. Another user compared the chair blocking to the Strait of Hormuz blockade. "Bro what u are seeing is a blockade of a blockade....." the person wrote. Other hilarious reactions included comparing it to street fights. "Need to add the dialect..Oi! Siam lah! Your father's road ah?" a user wrote. "Thank you for stepping in before it broke out into a full blown conflict," another wrote. “They are not giving way to each other,” a comment read.</p>

AI might be smart, but sometimes certain things expose its flaws. A set of robotic wheelchairs blocked each other's way at the Changi Airport, and none of them was able to move ahead. The standoff was ultimately resolved, but netizens are having a good laugh about it.

Two AI wheelchairs got in each other's way at the Changi Airport, Singapore, and it turned out to be a hilarious encounter. A passenger recorded the epic moment, showing the wheelchairs stuck to each other, with both unable to move. The tech equipment could not decipher that the object in their way wasn't a human, but one of its own. One of the wheelchairs' audio systems kept repeating, "Excuse me, please step aside", something that keeps humans out of their way while they move around. The viral video shared by Rishi Budhrani shows the lights blinking on the two wheelchairs, as one of them keeps saying, "Please step aside." The person recording the video says, "I think the robots have a problem." He adds, "That's the problem with AI when there is no human intervention." The wheelchairs remain entangled, as the person says, "I can't even help them because they don't want to be helped." Also Read: Viral timeline reveals Trump’s sleepless Truth Social spree on night he posted AI Jesus photo

<p>AI might be smart, but sometimes certain things expose its flaws. A set of robotic wheelchairs blocked each other's way at the Changi Airport, and none of them was able to move ahead. The standoff was ultimately resolved, but netizens are having a good laugh about it.</p>

Robotic wheelchairs had a standoff at Changi Airport. They sorted it out on their own. Here's what happened

<p>Apple and Google are directing users to dozens of so-called nudifying apps, an investigation report has said. These artificial intelligence apps can be found on the Apple Store and Google Play Store with simple search terms. Such apps have been downloaded millions of times and earned millions of dollars.</p><h2>Nudify apps are being popularised by tech giants</h2><p>&nbsp;Elon Musk, who owns the AI chat app Grok, which has also faced criticism for its ability to generate sexually explicit photos and videos, shared the news with a question. “Well, how about that … ? 🤔”, asked Musk on X, the social media platform he owns, while sharing the news about the probe into nudify apps.</p><p>The investigation was done by Tech Transparency Project (TTP), which said such apps were downloaded 483 million times and earned $122 million. TTP is the research wing of the nonprofit group Campaign for Accountability. The TTP report for April is a follow-up to its January report, which first documented dozens of such apps slipping through app review processes.</p><p>Also read: <a href="https://www.wionews.com/entertainment/lifestyle/news-explained-what-are-deepfakes-and-how-to-spot-them-655753">Explained | What are deepfakes and how to spot them?</a></p><h2>Apple, Google policies on nudity are violated on their own app stores</h2><p>The report said Apple and Google continued to offer apps that allow users to make the non-consensual sexualised images, despite their own policies prohibiting such content. Both companies also run advertisements for similar nudifying apps when users search their app stores with relevant keywords. The iOS App Store and Google Play have explicit policies banning apps that enable non-consensual intimate imagery, deepfakes, or overtly sexual or pornographic content. But the TTP investigation found that these companies have continued to host, surface, and monetise the undress or face-swap apps, with their search, autocomplete, and advertising systems directing the users.</p><p><a href="https://www.wionews.com/videos/germany-to-criminalize-pornographic-deepfakes-the-fight-against-deepfake-abuse-1774458880287/embed">https://www.wionews.com/videos/germany-to-criminalize-pornographic-deepfakes-the-fight-against-deepfake-abuse-1774458880287/embed</a></p><p>The investigation found 46 such apps on the Apple Store and 49 on Google Play, almost similar to what was seen in its January report.</p><p>The TTP investigation found that many apps are rated “E” for Everyone or 13+. Some developers are China-based and use vague descriptions. Some apps raised age ratings or added filters only after media scrutiny.</p><p>Reports said that after TTP shared its findings, Apple removed 15 apps and Google suspended seven. After the January investigation, more than 24 apps were removed, but they continued to reappear. Both companies said they investigate violations and take action.</p><h2>How Apple and Google profit from nudify apps</h2><p>Calling the tech giants “key participants in the spread” of these tools, the TTP report said Apple and Google profit directly, taking up to a 30 per cent cut from in-app purchases, subscriptions, and advertising revenue.</p><p>The apps have been downloaded 483 million times and generated more than $122 million in lifetime revenue, according to AppMagic estimates. The January report from TTP had found 47 apps on Apple and 55 on Google, with over 705 million downloads and $117 million in revenue, indicating persistent availability and profitability even after crackdowns.</p><p>Also read: <a href="https://www.wionews.com/world/ofcom-investigation-grok-ai-mass-nudification-elon-musk-x-1768287754817">UK regulator Ofcom investigates Elon Musk’s Grok AI over ‘mass nudification’ abuse</a></p><h2>Celebrities, common women and even minors are not safe from nudify apps</h2><p>Nudify apps are a problematic aspect of AI-generated images and videos. Neither ordinary women nor celebrities are safe from these platforms. High-profile victims include Taylor Swift and Emma Watson. A UNICEF/ECPAT/INTERPOL study across 11 countries found that at least 1.2 million minors had their images manipulated into sexual deepfakes in the prior year.</p><p>These apps lower the barrier to non-consensual image-based sexual abuse, turning any photo into sexual content in seconds. Studies have shown that 99 per cent of deepfake porn victims are female, with AI models trained primarily on female bodies. Many women face psychological trauma, harassment, blackmail, bullying, and reputational damage. Such apps enable “revenge porn” at scale, with perpetrators including former partners, classmates, co-workers, or strangers on the internet. There have been documented cases of suicide.</p><p>&nbsp;</p>

A new investigation claimed that Apple and Google are promoting nudify apps on their stores. These AI-generation apps create non-consensual and sexual images of women and minors. They thrive on the tech giants' app stores despite their ban policies, with millions of downloads and revenue

Apple and Google are directing users to dozens of so-called nudifying apps, an investigation report has said. These artificial intelligence apps can be found on the Apple Store and Google Play Store with simple search terms. Such apps have been downloaded millions of times and earned millions of dollars. Nudify apps are being popularised by tech giants Elon Musk, who owns the AI chat app Grok, which has also faced criticism for its ability to generate sexually explicit photos and videos, shared the news with a question. “Well, how about that … ? 🤔”, asked Musk on X, the social media platform he owns, while sharing the news about the probe into nudify apps. The investigation was done by Tech Transparency Project (TTP), which said such apps were downloaded 483 million times and earned $122 million. TTP is the research wing of the nonprofit group Campaign for Accountability. The TTP report for April is a follow-up to its January report, which first documented dozens of such apps slipping through app review processes. Also read: Explained | What are deepfakes and how to spot them? Apple, Google policies on nudity are violated on their own app stores The report said Apple and Google continued to offer apps that allow users to make the non-consensual sexualised images, despite their own policies prohibiting such content. Both companies also run advertisements for similar nudifying apps when users search their app stores with relevant keywords. The iOS App Store and Google Play have explicit policies banning apps that enable non-consensual intimate imagery, deepfakes, or overtly sexual or pornographic content. But the TTP investigation found that these companies have continued to host, surface, and monetise the undress or face-swap apps, with their search, autocomplete, and advertising systems directing the users. https://www.wionews.com/videos/germany-to-criminalize-pornographic-deepfakes-the-fight-against-deepfake-abuse-1774458880287/embed The investigation found 46 such apps on the Apple Store and 49 on Google Play, almost similar to what was seen in its January report. The TTP investigation found that many apps are rated “E” for Everyone or 13+. Some developers are China-based and use vague descriptions. Some apps raised age ratings or added filters only after media scrutiny. Reports said that after TTP shared its findings, Apple removed 15 apps and Google suspended seven. After the January investigation, more than 24 apps were removed, but they continued to reappear. Both companies said they investigate violations and take action. How Apple and Google profit from nudify apps Calling the tech giants “key participants in the spread” of these tools, the TTP report said Apple and Google profit directly, taking up to a 30 per cent cut from in-app purchases, subscriptions, and advertising revenue. The apps have been downloaded 483 million times and generated more than $122 million in lifetime revenue, according to AppMagic estimates. The January report from TTP had found 47 apps on Apple and 55 on Google, with over 705 million downloads and $117 million in revenue, indicating persistent availability and profitability even after crackdowns. Also read: UK regulator Ofcom investigates Elon Musk’s Grok AI over ‘mass nudification’ abuse Celebrities, common women and even minors are not safe from nudify apps Nudify apps are a problematic aspect of AI-generated images and videos. Neither ordinary women nor celebrities are safe from these platforms. High-profile victims include Taylor Swift and Emma Watson. A UNICEF/ECPAT/INTERPOL study across 11 countries found that at least 1.2 million minors had their images manipulated into sexual deepfakes in the prior year. These apps lower the barrier to non-consensual image-based sexual abuse, turning any photo into sexual content in seconds. Studies have shown that 99 per cent of deepfake porn victims are female, with AI models trained primarily on female bodies. Many women face psychological trauma, harassment, blackmail, bullying, and reputational damage. Such apps enable “revenge porn” at scale, with perpetrators including former partners, classmates, co-workers, or strangers on the internet. There have been documented cases of suicide.

<p>A new investigation claimed that Apple and Google are promoting nudify apps on their stores. These AI-generation apps create non-consensual and sexual images of women and minors. They thrive on the tech giants' app stores despite their ban policies, with millions of downloads and revenue</p>

Nudify apps on Apple and Google stores are earning millions, claims probe, and Elon Musk has a question about it

Meta is reportedly developing an advanced AI version of its CEO Mark Zuckerberg as part of its broader push into artificial intelligence and digital assistants. The AI model is expected to simulate Zuckerberg’s communication style, decision-making patterns, and public interactions, potentially being used for internal tools, user engagement, and product demonstrations across Meta’s platforms.


Meta Developing AI Version of its CEO Mark Zuckerberg

The United States Department of the Treasury is set to test Mythos, an advanced AI system developed by Anthropic, to evaluate potential cybersecurity risks linked to emerging artificial intelligence tools. The initiative reflects growing efforts by U.S. authorities to assess how powerful AI models could be misused in cyberattacks or financial system disruptions.


US Treasury to Test Anthropic's Mythos for Cyber Risks

<p>Donald Trump recently used his Truth Social platform to publicly praise Palantir Technologies, calling its systems highly effective in warfare and suggesting adversaries are already aware of its capabilities. The endorsement reflects a broader shift: artificial intelligence is no longer just a productivity tool; it is becoming central to how wars are planned and executed.</p><p>&nbsp;</p><p>This transformation was on display during the recent Iran conflict, where AI-assisted systems played a key operational role. Before strikes were carried out, software processed vast volumes of satellite imagery, drone feeds, and intelligence data to generate more than a thousand potential strike options. What once required days of human analysis was reduced to minutes, dramatically accelerating the pace of decision-making.</p><p>&nbsp;</p><p>At the center of this capability is Palantir’s Maven Smart System (MSS), a sophisticated command-and-control platform. Maven integrates intelligence streams from across the military, Army, Navy, Air Force, and even space-based assets into a unified system. It can identify, track, and classify targets such as vehicles, infrastructure, and weapons with remarkable speed, often reducing identification time to under a minute.</p><p>&nbsp;</p><p><strong>Also Read: </strong><a href="https://www.wionews.com/world/molotov-cocktail-thrown-at-open-ai-s-ceo-sam-altman-s-home-suspect-arrested-1775850306127"><strong>Molotov cocktail thrown at OpenAI's CEO Sam Altman’s home; suspect arrested</strong></a></p><p>&nbsp;</p><p>Beyond targeting, Maven also supports predictive logistics. Analyzing patterns and real-time data, it helps commanders anticipate where supplies, reinforcements, or firepower will be needed before shortages arise. This allows military leaders to act proactively rather than reactively, improving operational efficiency on the battlefield.</p><p>A major enhancement to Maven came through its integration with AI technology developed by Anthropic. Its Claude model enabled the system to go beyond raw data processing, offering contextual analysis, identifying patterns, and presenting commanders with more nuanced assessments.&nbsp;</p><p>&nbsp;</p><p>Instead of simply flagging potential targets, the system could interpret their significance based on historical and situational context. However, the partnership has not been without challenges. Anthropic reportedly placed limits on how its AI could be used, particularly in autonomous weapons or surveillance roles, prompting the Pentagon to explore alternative solutions. Despite these tensions, the US Department of Defense has formally designated Maven as a long-term ‘programme of record’, signaling its deep and enduring integration into military operations.</p><p>&nbsp;</p><p>Maven’s use is not limited to a single conflict. Variants of the system have been deployed for nearly a decade, supporting missions in Somalia against extremist groups, aiding operations in Iraq and Syria, assisting evacuation and rescue efforts in Afghanistan, and contributing to monitoring efforts in the Ukraine conflict. Its adoption by NATO further underscores its growing global footprint. Yet the rise of AI in warfare has sparked serious ethical and operational concerns. Critics argue that compressing decision timelines leaves less room for human verification, increasing the risk of errors.&nbsp;</p><p>&nbsp;</p><p><a href="https://www.wionews.com/videos/nasa-moon-mission-artemis-ii-crew-returns-after-10-days-of-travel-into-deep-space-1775839480480/embed"><strong>https://www.wionews.com/videos/nasa-moon-mission-artemis-ii-crew-returns-after-10-days-of-travel-into-deep-space-1775839480480/embed</strong></a></p><p>&nbsp;</p><p>In high-stakes environments, a misidentified target can lead to devastating consequences. Reports of civilian casualties during strikes in Iran have intensified scrutiny, with lawmakers calling for stricter oversight and transparency regarding the role of AI in targeting decisions. Palantir maintains that human operators remain firmly ‘in the loop’, making final decisions on the use of force. Still, as AI systems become more advanced and deeply embedded in military strategy, questions remain about accountability, reliability, and the future balance between human judgment and machine-driven insights.</p><p>&nbsp;</p><p>What is clear is that Palantir is no longer a niche defense contractor. With multi-billion-dollar government contracts and a rapidly growing market valuation, the company has positioned itself at the center of a new era, one where data, algorithms, and artificial intelligence are as critical to warfare as traditional weapons.</p><p>&nbsp;</p><p><strong>Disclaimer: </strong><i>WION takes utmost care to accurately and responsibly report ongoing conflicts in West Asia involving Israel, Iran, the US, Gulf nations, and non-state actors like Hezbollah, Hamas, Houthis, Islamic State, and others. Claims and counterclaims, disinformation and misinformation are being made online and offline. Given this context, WION cannot independently verify the authenticity of all statements, social media posts, photos, and videos.</i></p>

Inside Palantir’s AI Maven system and how it helped the US military rapidly plan strikes in Iran, raising concerns about AI-driven warfare

Donald Trump recently used his Truth Social platform to publicly praise Palantir Technologies, calling its systems highly effective in warfare and suggesting adversaries are already aware of its capabilities. The endorsement reflects a broader shift: artificial intelligence is no longer just a productivity tool; it is becoming central to how wars are planned and executed. This transformation was on display during the recent Iran conflict, where AI-assisted systems played a key operational role. Before strikes were carried out, software processed vast volumes of satellite imagery, drone feeds, and intelligence data to generate more than a thousand potential strike options. What once required days of human analysis was reduced to minutes, dramatically accelerating the pace of decision-making. At the center of this capability is Palantir’s Maven Smart System (MSS), a sophisticated command-and-control platform. Maven integrates intelligence streams from across the military, Army, Navy, Air Force, and even space-based assets into a unified system. It can identify, track, and classify targets such as vehicles, infrastructure, and weapons with remarkable speed, often reducing identification time to under a minute. Also Read: Molotov cocktail thrown at OpenAI's CEO Sam Altman’s home; suspect arrested Beyond targeting, Maven also supports predictive logistics. Analyzing patterns and real-time data, it helps commanders anticipate where supplies, reinforcements, or firepower will be needed before shortages arise. This allows military leaders to act proactively rather than reactively, improving operational efficiency on the battlefield. A major enhancement to Maven came through its integration with AI technology developed by Anthropic. Its Claude model enabled the system to go beyond raw data processing, offering contextual analysis, identifying patterns, and presenting commanders with more nuanced assessments. Instead of simply flagging potential targets, the system could interpret their significance based on historical and situational context. However, the partnership has not been without challenges. Anthropic reportedly placed limits on how its AI could be used, particularly in autonomous weapons or surveillance roles, prompting the Pentagon to explore alternative solutions. Despite these tensions, the US Department of Defense has formally designated Maven as a long-term ‘programme of record’, signaling its deep and enduring integration into military operations. Maven’s use is not limited to a single conflict. Variants of the system have been deployed for nearly a decade, supporting missions in Somalia against extremist groups, aiding operations in Iraq and Syria, assisting evacuation and rescue efforts in Afghanistan, and contributing to monitoring efforts in the Ukraine conflict. Its adoption by NATO further underscores its growing global footprint. Yet the rise of AI in warfare has sparked serious ethical and operational concerns. Critics argue that compressing decision timelines leaves less room for human verification, increasing the risk of errors. https://www.wionews.com/videos/nasa-moon-mission-artemis-ii-crew-returns-after-10-days-of-travel-into-deep-space-1775839480480/embed In high-stakes environments, a misidentified target can lead to devastating consequences. Reports of civilian casualties during strikes in Iran have intensified scrutiny, with lawmakers calling for stricter oversight and transparency regarding the role of AI in targeting decisions. Palantir maintains that human operators remain firmly ‘in the loop’, making final decisions on the use of force. Still, as AI systems become more advanced and deeply embedded in military strategy, questions remain about accountability, reliability, and the future balance between human judgment and machine-driven insights. What is clear is that Palantir is no longer a niche defense contractor. With multi-billion-dollar government contracts and a rapidly growing market valuation, the company has positioned itself at the center of a new era, one where data, algorithms, and artificial intelligence are as critical to warfare as traditional weapons. Disclaimer: WION takes utmost care to accurately and responsibly report ongoing conflicts in West Asia involving Israel, Iran, the US, Gulf nations, and non-state actors like Hezbollah, Hamas, Houthis, Islamic State, and others. Claims and counterclaims, disinformation and misinformation are being made online and offline. Given this context, WION cannot independently verify the authenticity of all statements, social media posts, photos, and videos.

<p>AI-powered Maven system helped US military plan rapid strikes in Iran, boosting Palantir’s role but raising concerns over speed, accuracy, and civilian risks</p>

Inside Palantir’s AI Maven: How the system helped US military in Iran strikes. Know all about it

<p>Artificial intelligence is rapidly changing how people search for information online. One of the biggest shifts came when Google introduced AI Overviews, a feature that places AI-generated answers at the top of search results.</p><p>The system is designed to provide quick summaries instead of simply showing links. But as AI answers become more visible, questions about accuracy, transparency and trust are growing. According to a recent analysis, AI Overviews are correct most of the time but errors still occur at scale.</p><h2><strong>What are Google’s AI Overviews?</strong></h2><p>AI Overviews were introduced in 2024 as part of Google’s broader push to integrate artificial intelligence into search. The feature uses AI models from the Google Gemini system to generate direct answers to user queries. Instead of scrolling through multiple websites, users see a short AI summary at the top of the results page. The summary usually includes links to websites that support the information.</p><p>This change has effectively turned Google from a search engine that directs users to websites into a platform that sometimes publishes its own AI-generated answers.</p><h2><strong>What the accuracy study found</strong></h2><p>An analysis by AI startup Oumi evaluated how accurate these AI-generated answers are.</p><p>At the request of The New York Times, the company tested 4,326 Google search queries using a benchmark known as SimpleQA, which is commonly used in the AI industry to measure system accuracy.</p><p>The results showed:</p><p>AI Overviews were 85 per cent accurate when powered by Gemini 2</p><p>After an upgrade to Gemini 3, accuracy increased to 91 per cent</p><p>More than 5,000 sources were cited across the analysed responses</p><p>These findings suggest the technology is improving, but it is still not perfect.</p><p>Given that Google processes more than 5 trillion searches per year, even a small error rate could lead to millions of incorrect responses being generated regularly.</p><h2><strong>The problem of “ungrounded” answers</strong></h2><p>Another issue raised in the analysis concerns how AI Overviews cite sources.</p><p>Researchers found that more than half of the accurate responses were “ungrounded.” This means the links cited by Google did not fully support the information presented in the AI summary.</p><p>This creates challenges for users trying to verify the accuracy of the answer.</p><p>The study also observed that social platforms such as Facebook and Reddit appeared frequently among cited sources.</p><p>For example:</p><p>Facebook was cited 5 per cent of the time in accurate answers</p><p>It appeared 7 per cent of the time in inaccurate answers</p><p>Google disputes parts of the analysis</p><p>Google has acknowledged that AI Overviews can sometimes contain mistakes. However, the company also criticised the methodology used in the analysis. A Google spokesperson said the research relied on a benchmark created by OpenAI, which the company argues contains incorrect information.</p><p>According to Google, relying on such benchmarks could affect the reliability of the findings.</p><p>Another challenge with AI evaluation is that researchers often use AI systems themselves to verify answers. This means the checking process may also introduce errors.</p><h2><strong>Why the debate over AI search matters</strong></h2><p>AI-powered search tools promise faster answers and a simpler user experience. But experts warn that users may trust AI summaries without verifying them. Some technologists say the technology is already useful and improving quickly. Others argue that the average user may not realise that AI-generated results should still be checked.</p><p>As AI systems become central to how people access information online, ensuring accuracy and transparency will become increasingly important.</p><p>For now, the research suggests that while Google’s AI Overviews are often correct, users should still treat them as a starting point not the final word.</p><p>&nbsp;</p>

Artificial intelligence is rapidly changing how people search for information online. One of the biggest shifts came when Google introduced AI Overviews, a feature that places AI-generated answers at the top of search results.

Artificial intelligence is rapidly changing how people search for information online. One of the biggest shifts came when Google introduced AI Overviews, a feature that places AI-generated answers at the top of search results. The system is designed to provide quick summaries instead of simply showing links. But as AI answers become more visible, questions about accuracy, transparency and trust are growing. According to a recent analysis, AI Overviews are correct most of the time but errors still occur at scale. What are Google’s AI Overviews? AI Overviews were introduced in 2024 as part of Google’s broader push to integrate artificial intelligence into search. The feature uses AI models from the Google Gemini system to generate direct answers to user queries. Instead of scrolling through multiple websites, users see a short AI summary at the top of the results page. The summary usually includes links to websites that support the information. This change has effectively turned Google from a search engine that directs users to websites into a platform that sometimes publishes its own AI-generated answers. What the accuracy study found An analysis by AI startup Oumi evaluated how accurate these AI-generated answers are. At the request of The New York Times, the company tested 4,326 Google search queries using a benchmark known as SimpleQA, which is commonly used in the AI industry to measure system accuracy. The results showed: AI Overviews were 85 per cent accurate when powered by Gemini 2 After an upgrade to Gemini 3, accuracy increased to 91 per cent More than 5,000 sources were cited across the analysed responses These findings suggest the technology is improving, but it is still not perfect. Given that Google processes more than 5 trillion searches per year, even a small error rate could lead to millions of incorrect responses being generated regularly. The problem of “ungrounded” answers Another issue raised in the analysis concerns how AI Overviews cite sources. Researchers found that more than half of the accurate responses were “ungrounded.” This means the links cited by Google did not fully support the information presented in the AI summary. This creates challenges for users trying to verify the accuracy of the answer. The study also observed that social platforms such as Facebook and Reddit appeared frequently among cited sources. For example: Facebook was cited 5 per cent of the time in accurate answers It appeared 7 per cent of the time in inaccurate answers Google disputes parts of the analysis Google has acknowledged that AI Overviews can sometimes contain mistakes. However, the company also criticised the methodology used in the analysis. A Google spokesperson said the research relied on a benchmark created by OpenAI, which the company argues contains incorrect information. According to Google, relying on such benchmarks could affect the reliability of the findings. Another challenge with AI evaluation is that researchers often use AI systems themselves to verify answers. This means the checking process may also introduce errors. Why the debate over AI search matters AI-powered search tools promise faster answers and a simpler user experience. But experts warn that users may trust AI summaries without verifying them. Some technologists say the technology is already useful and improving quickly. Others argue that the average user may not realise that AI-generated results should still be checked. As AI systems become central to how people access information online, ensuring accuracy and transparency will become increasingly important. For now, the research suggests that while Google’s AI Overviews are often correct, users should still treat them as a starting point not the final word.

<p>Artificial intelligence is rapidly changing how people search for information online. One of the biggest shifts came when Google introduced AI Overviews, a feature that places AI-generated answers at the top of search results.</p>

Can you trust the results: How accurate are Google’s AI overviews in search results?

A new investigation by AI Forensics has analysed nearly 2.8 million messages across multiple Telegram groups, uncovering what researchers describe as a large-scale network spreading non-consensual images, surveillance tools, and digital abuse services. The study found tens of thousands of users exchanging harmful content and promoting AI-powered “nudifying” tools, raising serious concerns about online safety and platform moderation.


AI Forensics Analyses 2.8 MN Messages Across Telegram Groups

A Swiss minister has filed a lawsuit after Grok allegedly generated an obscene message targeting her, sparking fresh debate over AI accountability and misinformation risks. The incident has drawn attention across Switzerland, with officials calling for stronger oversight of generative AI platforms and safeguards against harmful automated content.


Swiss Minister Files Lawsuit Over Grok Post After AI Generates Obscene Message Targeting Her

The global artificial intelligence boom, which has powered record highs in equity markets, is now facing a fresh challenge.


 AI Boom Faces Heat From Gulf Crisis 

<p>Angela Lipps, a 50-year-old grandmother from Tennessee, spent over five months in jail because an AI facial recognition tool told the police that she had committed crimes in North Dakota. When they realised their mistake, she was released over 1,600 kilometres away from her home with no money and no means to return. Lipps relied on charities to fly back to Tennessee, reports suggest. Police in Fargo, North Dakota, have admitted that an error happened, but when asked whether the department would issue an apology, officials did not give an affirmative answer. Lipps was first arrested in Tennessee on July 14, according to the Fargo Police Department and a verified GoFundMe page. She lost her home, her car, and even her dog because of the ordeal.</p><p>Also Read: <a href="https://www.wionews.com/trending/chatgpt-makes-you-dumb-study-confirms-as-ai-followers-use-their-brains-less-1750322271219"><strong>ChatGPT makes you dumb, study confirms, states AI followers use their brains less</strong></a></p><p>&nbsp;</p><p>Months ago, several cases of bank fraud had occurred in and around Fargo, according to police. They used an AI tool to scan surveillance footage, relying on their "partner agency’s facial recognition technology” and “additional investigative steps independent of AI to assist in identification”, CNN reported. The company was Clearview AI, a startup that had a database of billions of photos built by using images from all over the internet. The software incorrectly matched the suspect's face to Angela Lipps, even though she lived in another state and had never even been to North Dakota. An arrest warrant was issued, and Lipps was arrested in Tennessee while babysitting her grandchildren. She spent over three months in a Tennessee jail and was later extradited to North Dakota, according to Fargo police and her lawyers.</p><p>Also Read: <a href="https://www.wionews.com/trending/meta-ai-chief-alexandr-wang-personal-superintelligence-1771848999498"><strong>Alexandr Wang is building personal superintelligence, 'second brain' that will even think for you. Should you be scared?</strong></a></p><p>&nbsp;</p><p>Lipps recalled the extradition on her GoFundMe page, "It was the first time I had ever been on an aeroplane. I was terrified and exhausted and humiliated." It wasn't until December that her lawyer provided bank records and receipts showing she was in Tennessee buying groceries and gas at the exact time the crimes were happening in North Dakota. On December 23, the Fargo detective, the state’s attorney and the judge “mutually agreed to dismiss the charges without prejudice to allow for further investigation,” the Fargo police said. She was finally released on Christmas Eve. However, despite the extreme cold, the police released her with no coat, no money, and no way to get home. She eventually made it back to Tennessee with the help of local charities.</p><p>Also Read: <a href="https://www.wionews.com/world/dont-google-your-symptoms-tell-them-to-chatgpt-it-saved-a-womans-life-8972116"><strong>'If you had gone to sleep...': ChatGPT told a pregnant woman to call an ambulance. It saved her life</strong></a></p><h2><strong>Fargo police department says it would never use West Fargo's AI tools</strong></h2><p>The Fargo Police said at a news conference that they relied on AI-powered facial recognition tools that the neighbouring West Fargo has. Lipps was identified as a "potential suspect" based on the image on a fake ID used in a West Fargo fraud case. The department has said it would no longer be using its AI system. When asked whether the department would apologise to Lipps, Fargo Police Department Chief Dave Zibolski said, "At this juncture, we still don’t know who’s involved and who’s not involved" in the fraud cases.<br>&nbsp;</p>

Artificial intelligence might be the future, but time and again incidents happen that prove that these systems are still not foolproof. A woman was arrested for a crime she did not commit just because a facial recognition tool said so.

Angela Lipps, a 50-year-old grandmother from Tennessee, spent over five months in jail because an AI facial recognition tool told the police that she had committed crimes in North Dakota. When they realised their mistake, she was released over 1,600 kilometres away from her home with no money and no means to return. Lipps relied on charities to fly back to Tennessee, reports suggest. Police in Fargo, North Dakota, have admitted that an error happened, but when asked whether the department would issue an apology, officials did not give an affirmative answer. Lipps was first arrested in Tennessee on July 14, according to the Fargo Police Department and a verified GoFundMe page. She lost her home, her car, and even her dog because of the ordeal. Also Read: ChatGPT makes you dumb, study confirms, states AI followers use their brains less Months ago, several cases of bank fraud had occurred in and around Fargo, according to police. They used an AI tool to scan surveillance footage, relying on their "partner agency’s facial recognition technology” and “additional investigative steps independent of AI to assist in identification”, CNN reported. The company was Clearview AI, a startup that had a database of billions of photos built by using images from all over the internet. The software incorrectly matched the suspect's face to Angela Lipps, even though she lived in another state and had never even been to North Dakota. An arrest warrant was issued, and Lipps was arrested in Tennessee while babysitting her grandchildren. She spent over three months in a Tennessee jail and was later extradited to North Dakota, according to Fargo police and her lawyers. Also Read: Alexandr Wang is building personal superintelligence, 'second brain' that will even think for you. Should you be scared? Lipps recalled the extradition on her GoFundMe page, "It was the first time I had ever been on an aeroplane. I was terrified and exhausted and humiliated." It wasn't until December that her lawyer provided bank records and receipts showing she was in Tennessee buying groceries and gas at the exact time the crimes were happening in North Dakota. On December 23, the Fargo detective, the state’s attorney and the judge “mutually agreed to dismiss the charges without prejudice to allow for further investigation,” the Fargo police said. She was finally released on Christmas Eve. However, despite the extreme cold, the police released her with no coat, no money, and no way to get home. She eventually made it back to Tennessee with the help of local charities. Also Read: 'If you had gone to sleep...': ChatGPT told a pregnant woman to call an ambulance. It saved her life Fargo police department says it would never use West Fargo's AI tools The Fargo Police said at a news conference that they relied on AI-powered facial recognition tools that the neighbouring West Fargo has. Lipps was identified as a "potential suspect" based on the image on a fake ID used in a West Fargo fraud case. The department has said it would no longer be using its AI system. When asked whether the department would apologise to Lipps, Fargo Police Department Chief Dave Zibolski said, "At this juncture, we still don’t know who’s involved and who’s not involved" in the fraud cases.

<p>Artificial intelligence might be the future, but time and again incidents happen that prove that these systems are still not foolproof. A woman was arrested for a crime she did not commit just because a facial recognition tool said so.</p>

AI gone wrong, again: 50-year-old woman arrested for crimes in a state she had never been to

<p>Amid the rising trend and use of artificial intelligence (AI) tools in the industry, experts have consistently cautioned about the risk of entry-level jobs that could lose employment opportunities. Along with entry-level employees, it now appears that even top executives at multinational corporations are not immune to these changes.</p><p><br>In an interview with CNBC, Coca-Cola CEO James Quincey and former Walmart CEO Doug McMillon shared that the fast pace of AI advancement played a key role in their decisions to step down. They emphasised the need for a new generation of leadership better equipped to navigate this technological shift. Quincey, who has led the beverage company since 2017, is set to be replaced by current COO Henrique Braun at the end of this month.</p><p><br>“My job is also to think who's the best team to put on the field to get the next wave done,” Quincey said during the interview and added, “And I concluded that, actually, it was time to put someone else on the field for the next wave of growth.”</p><p><br>Quincey further said that his company has made a lot of progress under him in a pre-AI and a pre-gen-AI mode, but currently, there is a 'new shift' potentially needing different leadership. He noted that Coca-Cola requires someone with the "energy to make a new transformation of the enterprise".</p><h3>AI revolution</h3><p>Meanwhile, McMillon, who retired in January this year has said in a previous interview that his decision to resign from the post was due to his being unable to see through the AI revolution. “With what's happening with AI, I could start this next big set of transformations with AI, but I couldn't finish,” said McMillon, and added, "About a year ago, I really started feeling like this next run, you could see what agentic commerce was going to look like, the vision for AI shopping."</p><p><br>"I started thinking about everything that needs to happen over the next few years, and it really caused me to think that now was the right time to step down," McMillon further said.</p><p><br>While top CEOs are preparing for the rise of AI, the outlook for entry-level workers appears increasingly uncertain. Last year, Anthropic CEO Dario Amodei cautioned that AI could eliminate up to half of entry-level white-collar jobs within the next five years. He noted that roles involving repetitive yet adaptable tasks, such as those in law firms, consulting, administration, and finance, are especially vulnerable, as companies may turn to AI to reduce costs.</p><p><br>"Specifically, if we look at jobs like entry-level white, you know, I think of people who work at law firms, like first-year associates, there's a lot of document review. It's very repetitive, but every example is different. That's something that AI is quite good at," Amodei said. "I think, to be honest, a large fraction of them would like to be able to use it to cut costs to employ fewer people," he added.</p><p>&nbsp;</p><p><strong>Also read:</strong> <a href="https://www.wionews.com/world/uss-george-hw-bush-to-join-iran-war-report-claims-us-aircraft-carrier-being-deployed-to-centcom-region-1774676307070">USS George HW Bush to join Iran war? Report claims US aircraft carrier being deployed to CENTCOM region</a></p>

Coca-Cola CEO James Quincey and former Walmart CEO Doug McMillon shared that the fast pace of AI advancement played a key role in their decisions to step down. They emphasised the need for a new generation of leadership better equipped to navigate this technological shift. 

Amid the rising trend and use of artificial intelligence (AI) tools in the industry, experts have consistently cautioned about the risk of entry-level jobs that could lose employment opportunities. Along with entry-level employees, it now appears that even top executives at multinational corporations are not immune to these changes. In an interview with CNBC, Coca-Cola CEO James Quincey and former Walmart CEO Doug McMillon shared that the fast pace of AI advancement played a key role in their decisions to step down. They emphasised the need for a new generation of leadership better equipped to navigate this technological shift. Quincey, who has led the beverage company since 2017, is set to be replaced by current COO Henrique Braun at the end of this month. “My job is also to think who's the best team to put on the field to get the next wave done,” Quincey said during the interview and added, “And I concluded that, actually, it was time to put someone else on the field for the next wave of growth.” Quincey further said that his company has made a lot of progress under him in a pre-AI and a pre-gen-AI mode, but currently, there is a 'new shift' potentially needing different leadership. He noted that Coca-Cola requires someone with the "energy to make a new transformation of the enterprise". AI revolution Meanwhile, McMillon, who retired in January this year has said in a previous interview that his decision to resign from the post was due to his being unable to see through the AI revolution. “With what's happening with AI, I could start this next big set of transformations with AI, but I couldn't finish,” said McMillon, and added, "About a year ago, I really started feeling like this next run, you could see what agentic commerce was going to look like, the vision for AI shopping." "I started thinking about everything that needs to happen over the next few years, and it really caused me to think that now was the right time to step down," McMillon further said. While top CEOs are preparing for the rise of AI, the outlook for entry-level workers appears increasingly uncertain. Last year, Anthropic CEO Dario Amodei cautioned that AI could eliminate up to half of entry-level white-collar jobs within the next five years. He noted that roles involving repetitive yet adaptable tasks, such as those in law firms, consulting, administration, and finance, are especially vulnerable, as companies may turn to AI to reduce costs. "Specifically, if we look at jobs like entry-level white, you know, I think of people who work at law firms, like first-year associates, there's a lot of document review. It's very repetitive, but every example is different. That's something that AI is quite good at," Amodei said. "I think, to be honest, a large fraction of them would like to be able to use it to cut costs to employ fewer people," he added. Also read: USS George HW Bush to join Iran war? Report claims US aircraft carrier being deployed to CENTCOM region

<p>Coca-Cola CEO James Quincey and former Walmart CEO Doug McMillon shared that the fast pace of AI advancement played a key role in their decisions to step down. They emphasised the need for a new generation of leadership better equipped to navigate this technological shift.&nbsp;</p>

Is AI forcing CEOs to exit? Coca-Cola, Walmart chiefs cite reasons behind their decisions to quit

Equipped with 360-degree infrared vision and new artificial intelligence, the F-35 processes millions of data points per second to give pilots an unmatched advantage in highly contested airspace.

<p>Equipped with 360-degree infrared vision and new artificial intelligence, the F-35 processes millions of data points per second to give pilots an unmatched advantage in highly contested airspace.</p>

'Made for high-risk combat': How the F-35 uses sensors and AI to dominate the skies

<p>An Australian man has developed a cancer vaccine for his dog. For someone even with a medical background, that is a huge feat. However, Paul Conyngham is a tech entrepreneur and still managed to do the unthinkable. After his dog Rose was given a terminal cancer diagnosis, he was left devastated. Paul told &nbsp;Australia’s Today program that Rose was with him through tough times, and he wanted to do his part in helping her. So he designed a personalised mRNA cancer vaccine for his 8-year-old rescue dog. He has no medical background, and so he relied on what he did know - his skills in machine learning and data analysis. He used the AI tool ChatGPT and AlphaFold, an AI program, to create a personalised cancer vaccine for his dog. Both together analysed the protein structures linked to cancer and created a sequence. The Australian reported that the AI-derived sequence generated by Paul was given to the RNA Institute, University of New South Wales (UNSW), and the scientists here used it to manufacture the vaccine for Rose.</p><h2><strong>AI for cancer vaccines and treatment</strong></h2><p>UNSW Professor Pall Thordarson, the director of the RNA Institute, told Today that the vaccine was ready in less than two months, and it was a success. Paul said that the vaccine "pushed back about 75 per cent of the cancer." Rose is a Staffordshire bull terrier who had large tumours on one of her back legs. She was diagnosed with mast cell cancer and had only a few months left. Paul turned to AI and sequenced the tumour DNA, which revealed the mutations that could be targeted. The data was used to search for the problem in her DNA, and "then develop a cure based off that, and ChatGPT assisted throughout the entire process," Conyngham told Today.</p><p>Also Read: <a href="https://www.wionews.com/trending/california-boy-asked-chatgpt-how-to-take-drugs-he-died-of-an-overdose-1767670591114"><strong>California boy asked ChatGPT how to take drugs. He died of an overdose</strong></a></p><p>&nbsp;</p><p>The vaccine started showing visible results in Rose in about a month. Her mobility and behaviour improved, Paul told Today. He said, "She started to shut down and be a bit sad" at the start of December. But by the end of January, "she was jumping over a fence to chase a rabbit." Paul said the vaccine "shrunk it all down. There was just a little bit (of cancer) that didn’t respond." What Paul managed to do shows how AI could be used to help design treatments for medical problems.<br>&nbsp;</p>

The dog was suffering from mast cell cancer and could not move because of the tumours in a leg. Her owner decided to do something about it and turned to data learning tools and AI to create a solution, which was then used to make a vaccine.

An Australian man has developed a cancer vaccine for his dog. For someone even with a medical background, that is a huge feat. However, Paul Conyngham is a tech entrepreneur and still managed to do the unthinkable. After his dog Rose was given a terminal cancer diagnosis, he was left devastated. Paul told Australia’s Today program that Rose was with him through tough times, and he wanted to do his part in helping her. So he designed a personalised mRNA cancer vaccine for his 8-year-old rescue dog. He has no medical background, and so he relied on what he did know - his skills in machine learning and data analysis. He used the AI tool ChatGPT and AlphaFold, an AI program, to create a personalised cancer vaccine for his dog. Both together analysed the protein structures linked to cancer and created a sequence. The Australian reported that the AI-derived sequence generated by Paul was given to the RNA Institute, University of New South Wales (UNSW), and the scientists here used it to manufacture the vaccine for Rose. AI for cancer vaccines and treatment UNSW Professor Pall Thordarson, the director of the RNA Institute, told Today that the vaccine was ready in less than two months, and it was a success. Paul said that the vaccine "pushed back about 75 per cent of the cancer." Rose is a Staffordshire bull terrier who had large tumours on one of her back legs. She was diagnosed with mast cell cancer and had only a few months left. Paul turned to AI and sequenced the tumour DNA, which revealed the mutations that could be targeted. The data was used to search for the problem in her DNA, and "then develop a cure based off that, and ChatGPT assisted throughout the entire process," Conyngham told Today. Also Read: California boy asked ChatGPT how to take drugs. He died of an overdose The vaccine started showing visible results in Rose in about a month. Her mobility and behaviour improved, Paul told Today. He said, "She started to shut down and be a bit sad" at the start of December. But by the end of January, "she was jumping over a fence to chase a rabbit." Paul said the vaccine "shrunk it all down. There was just a little bit (of cancer) that didn’t respond." What Paul managed to do shows how AI could be used to help design treatments for medical problems.

<p>The dog was suffering from mast cell cancer and could not move because of the tumours in a leg. Her owner decided to do something about it and turned to data learning tools and AI to create a solution, which was then used to make a vaccine.</p>

Owner creates cancer vaccine for his rescue dog despite no medical background

As the war between the United States, Israel and Iran intensifies, social media users are increasingly struggling to distinguish real battlefield footage from fake videos circulating online. On platforms like X, many clips claiming to show missile strikes and explosions have later been identified as AI-generated content, recycled war footage, or even video-game scenes.


US-Israel War With Iran: X Users Struggle to Tell Real War Footage from Fakes

<p>Artificial intelligence could soon become a basic service similar to electricity or water, according to Sam Altman, the chief executive of OpenAI. Speaking at the BlackRock US Infrastructure Summit in Washington DC, Altman said future users may pay for AI based on how much they use it, much like electricity consumption.</p><p>In his view, artificial intelligence could gradually shift from being seen as a complex technology to becoming a simple everyday service.</p><p>“We see a future where intelligence is a utility like electricity or water and people buy it from us on a meter,” Altman said during the event.</p><h2><strong>AI could become a metered service</strong></h2><p>Altman suggested that instead of paying a fixed monthly subscription, users might eventually pay for AI based on usage.</p><p>This model would work similarly to electricity or water billing. The more computing power a person or company consumes, the more they pay.</p><p>Such a model would allow businesses and individuals to access powerful AI tools without committing to expensive long-term plans.</p><p>Many technology companies already follow a similar approach in cloud computing services, where customers pay based on processing power or data usage.</p>

<h2><strong>AI already transforming workplaces</strong></h2><p>According to Altman, AI systems are rapidly changing how work gets done in several industries.</p><p>One of the clearest examples is software development. AI tools can now generate code and complete tasks that might take human engineers several hours.</p><p>But coding is only one part of the transformation.</p><h2><strong>AI is also being used for:</strong></h2><p>Scientific research</p><p>Data analysis</p><p>Business planning</p><p>Writing and documentation</p><p>Customer service automation</p>

<p>In companies, employees are spending less time performing technical tasks and more time guiding AI systems that carry out the work. Altman said this trend could expand further as AI models become more capable. AI may soon handle longer and more complex projects</p><p>At present, many AI systems can complete tasks that normally take a few hours.</p><p>However, Altman expects these systems to soon handle projects that take several days or even weeks.</p><p>This shift would allow AI tools to manage more complex workflows, from research and planning to coding and product development.</p><p>Altman also said he personally uses AI frequently while working at OpenAI. When he develops new product ideas or business strategies, he often asks AI systems for feedback before discussing them with colleagues.</p><h2><strong>The infrastructure behind AI</strong></h2><p>Although the future may look simple for users, the technology behind AI requires enormous infrastructure.</p><p>Large AI models run in massive data centres filled with specialised hardware such as GPUs. These facilities consume significant amounts of electricity and require complex cooling and maintenance systems.</p><p>Altman described them as large campuses where thousands of workers help build and maintain computing infrastructure.</p><p>To support growing demand, OpenAI has been expanding partnerships with companies including Nvidia, Amazon, and SoftBank.</p><p>These partnerships help provide the computing power needed to train and run advanced AI models.</p><h2><strong>Making AI widely accessible</strong></h2><p>Altman said the long-term goal is to make AI available to as many people as possible.</p><p>If AI becomes as common as electricity, people may stop thinking about the technology itself. Instead, they will simply use it whenever they need help writing, analysing information, solving problems or building products.</p><p>For Altman, this shift could mark the next stage of the AI industry where intelligence becomes a widely available service rather than a specialised tool.</p>

OpenAI CEO Sam Altman said artificial intelligence could eventually become a basic utility similar to electricity or water. Speaking at the BlackRock US Infrastructure Summit, Altman suggested future users may pay for AI based on usage, rather than fixed subscriptions. 

Artificial intelligence could soon become a basic service similar to electricity or water, according to Sam Altman, the chief executive of OpenAI. Speaking at the BlackRock US Infrastructure Summit in Washington DC, Altman said future users may pay for AI based on how much they use it, much like electricity consumption. In his view, artificial intelligence could gradually shift from being seen as a complex technology to becoming a simple everyday service. “We see a future where intelligence is a utility like electricity or water and people buy it from us on a meter,” Altman said during the event. AI could become a metered service Altman suggested that instead of paying a fixed monthly subscription, users might eventually pay for AI based on usage. This model would work similarly to electricity or water billing. The more computing power a person or company consumes, the more they pay. Such a model would allow businesses and individuals to access powerful AI tools without committing to expensive long-term plans. Many technology companies already follow a similar approach in cloud computing services, where customers pay based on processing power or data usage.

<p>OpenAI CEO Sam Altman said artificial intelligence could eventually become a basic utility similar to electricity or water. Speaking at the BlackRock US Infrastructure Summit, Altman suggested future users may pay for AI based on usage, rather than fixed subscriptions.&nbsp;</p>

AI could become a utility like electricity, says OpenAI CEO Sam Altman

#Gravitas The United States is deploying artificial intelligence to hunt targets deep inside Iran, turning war into a data-driven operation. 


US-Iran War: How the U.S. Is Using AI to Hunt, Strike Targets in Iran 

As the US‑Iran war unfolds, the growing role of artificial intelligence in modern warfare is raising serious questions—especially after a deadly strike on a school in Iran that killed dozens of children. Advanced AI tools are being used to process battlefield data, identify targets and accelerate strikes far faster than traditional methods, prompting debates over accuracy, accountability, and potential civilian harm in future conflicts.


AI in Modern Warfare: Questions After Iran School Strike 

<p>The video was ten seconds long. It showed Tel Aviv's skyline convulsing under missile fire, towers disappearing into smoke, sirens tearing across a city already half-destroyed. The captions said Iranian ballistic missiles had overwhelmed Israel’s air defences. Within hours, it had millions of views. One major Indian newspaper published it as fact. It was entirely fabricated. That was March 2026. But the machinery behind it had been running for over a year. A review of documented cases by several international news agencies and a range of fact-checking organisations across three war zones has identified more than twelve incidents between January 2025 and March 2026 in which AI-generated video was used to reshape public understanding of active conflicts, in Gaza, Ukraine and the Iran-Israel theatre.</p><h2><strong>The same playbook, three war zones</strong></h2><p>The method is consistent. A synthetic clip, often posted openly on a TikTok or Instagram account that labels its content as AI-generated, gets stripped of that label, fitted with a breaking-news caption timed to a real event, and released. By the time a fact-checker responds, the damage is done.</p><h3><strong>Gaza</strong></h3><p>In Gaza, a dramatic explosion video captioned as an Israeli air strike on civilians was traced by The Real Fact Hunter to a TikTok account called @everythingai97, which had clearly marked the clip as AI-generated. An October 2025 video of a so-called Gaza Martyrs Museum, complete with statues of well-known victims, was tracked by Misbar to an Instagram account that openly identifies as an AI content creator. In December, two separate clips of children and tents submerged in floodwater went viral as humanitarian evidence. AFP Fact Check found one scored 99.9 percent on AI-detection platform Hive Moderation.</p><h3><strong>Ukraine-Russia</strong></h3><p>Ukraine saw a different operation. In November 2025, DW Fact Check identified a wave of videos showing tearful young men in Ukrainian uniforms pleading not to be sent to the front, shared by pro-Russian accounts as proof of forced conscription. Several carried visible Sora watermarks, the logo of OpenA’s video tool. Around the same time, dozens of clips claimed to show mass Ukrainian surrenders near Pokrovsk. Ukraine’s Center for Countering Disinformation issued a formal warning, calling it a coordinated information attack. Independent fact-checkers found faceless soldiers, fused fingers and no corroborating battlefield evidence.</p><h3><strong>Iran war</strong></h3><p>The Iran-Israel escalation produced the most extreme material. Reuters Fact Check consulted three forensics experts on the March 2026 Tel Aviv footage, all confirmed AI origin, citing warped solar panels, a flag that changed design mid-zoom and audio that lacked real-world reverberation. An Indian outlet, BOOM ran the same clips through two detection tools; both returned approximately 99 percent synthetic probability.</p><h3><strong>Virality outperforms fact-check</strong></h3><p>Vineet Khunger, Co-founder of IndieVisual, a leading AI technology-led video production company, says the barrier to creating convincing synthetic news footage has collapsed entirely. “It’s become a bit too easy for a bad actor sitting alone at home to use foundational AI video models to create clips that look like real news,” he told WION. “Someone with nefarious intent can figure out ways to easily fool people on social media. We’ve already got issues from both angles, some people believing footage that’s fake, and on the flip side, other people doubting what they see even if it’s real.” Vineet says trained professionals can spot the tells, faked CCTV footage that cuts every seven to eight seconds, the current generation limit for consumer AI video models, along with glitchy artefacts and unnatural visual clarity. But he is candid about the limits of that expertise at scale.&nbsp;</p><p>&nbsp;</p><p>“Given that we’re scrolling past so much video, it’s not humanly possible to go deep into the authenticity of every clip we see. Social media rewards engagement, a fake clip designed for virality will almost always outperform a post pointing out that it was fake.”</p><h2><strong>When institutions fell for it</strong></h2><p>The fakes did not stay on the fringes. Just days ago, a sitting UK Member of Parliament shared an AI-generated image depicting rows of shrouded bodies said to be schoolgirls killed in an airstrike on a school in Minab, Iran. Five separate fact-checking organisations identified it as synthetic. A leading Indian newspaper article briefly treated an AI missile-strike clip as real footage before issuing a correction.</p><p>&nbsp;</p><p>The structural problem is not that detection tools are inadequate. It is that the strip-and-amplify pipeline moves faster than any newsroom can respond. The label proving a video is fake is removed before the video goes viral. The correction arrives after the damage is complete. On the question of who bears responsibility, Vineet is direct. “Everyone, the production industry, the media industry, the government, that should be pressurising the tech companies to include clear safeguards around what can be generated,” he said. “The government should step in with context-specific policies. AI video in the news space should be heavily regulated. AI video on social media should be clearly labelled as such. AI has many positive use cases, but these safeguards can give us a more trustworthy, transparent and safer environment for everyone.”</p><p>&nbsp;</p><p>Fourteen months of documented fakes across three conflict zones have exposed a gap that technology alone cannot close. To put it simply, AI has not changed what information warfare is for. It has changed who can wage it, how fast, and with what degree of plausibility. For the millions who never saw the fact-check, the fake was simply the news.</p><p>&nbsp;</p><p><strong>Disclaimer:</strong> <i>WION takes utmost care to accurately and responsibly report ongoing conflicts in West Asia involving Israel, Iran, the US, Gulf nations, and non-state actors like Hezbollah, Hamas, Houthis, Islamic State, and others. Claims and counterclaims, disinformation and misinformation are being made online and offline. Given this context, WION cannot independently verify the authenticity of all statements, social media posts, photos, and videos.</i></p>

Faking the front line: How artificial intelligence is overriding war perceptions

The video was ten seconds long. It showed Tel Aviv's skyline convulsing under missile fire, towers disappearing into smoke, sirens tearing across a city already half-destroyed. The captions said Iranian ballistic missiles had overwhelmed Israel’s air defences. Within hours, it had millions of views. One major Indian newspaper published it as fact. It was entirely fabricated. That was March 2026. But the machinery behind it had been running for over a year. A review of documented cases by several international news agencies and a range of fact-checking organisations across three war zones has identified more than twelve incidents between January 2025 and March 2026 in which AI-generated video was used to reshape public understanding of active conflicts, in Gaza, Ukraine and the Iran-Israel theatre. The same playbook, three war zones The method is consistent. A synthetic clip, often posted openly on a TikTok or Instagram account that labels its content as AI-generated, gets stripped of that label, fitted with a breaking-news caption timed to a real event, and released. By the time a fact-checker responds, the damage is done. Gaza In Gaza, a dramatic explosion video captioned as an Israeli air strike on civilians was traced by The Real Fact Hunter to a TikTok account called @everythingai97, which had clearly marked the clip as AI-generated. An October 2025 video of a so-called Gaza Martyrs Museum, complete with statues of well-known victims, was tracked by Misbar to an Instagram account that openly identifies as an AI content creator. In December, two separate clips of children and tents submerged in floodwater went viral as humanitarian evidence. AFP Fact Check found one scored 99.9 percent on AI-detection platform Hive Moderation. Ukraine-Russia Ukraine saw a different operation. In November 2025, DW Fact Check identified a wave of videos showing tearful young men in Ukrainian uniforms pleading not to be sent to the front, shared by pro-Russian accounts as proof of forced conscription. Several carried visible Sora watermarks, the logo of OpenA’s video tool. Around the same time, dozens of clips claimed to show mass Ukrainian surrenders near Pokrovsk. Ukraine’s Center for Countering Disinformation issued a formal warning, calling it a coordinated information attack. Independent fact-checkers found faceless soldiers, fused fingers and no corroborating battlefield evidence. Iran war The Iran-Israel escalation produced the most extreme material. Reuters Fact Check consulted three forensics experts on the March 2026 Tel Aviv footage, all confirmed AI origin, citing warped solar panels, a flag that changed design mid-zoom and audio that lacked real-world reverberation. An Indian outlet, BOOM ran the same clips through two detection tools; both returned approximately 99 percent synthetic probability. Virality outperforms fact-check Vineet Khunger, Co-founder of IndieVisual, a leading AI technology-led video production company, says the barrier to creating convincing synthetic news footage has collapsed entirely. “It’s become a bit too easy for a bad actor sitting alone at home to use foundational AI video models to create clips that look like real news,” he told WION. “Someone with nefarious intent can figure out ways to easily fool people on social media. We’ve already got issues from both angles, some people believing footage that’s fake, and on the flip side, other people doubting what they see even if it’s real.” Vineet says trained professionals can spot the tells, faked CCTV footage that cuts every seven to eight seconds, the current generation limit for consumer AI video models, along with glitchy artefacts and unnatural visual clarity. But he is candid about the limits of that expertise at scale. “Given that we’re scrolling past so much video, it’s not humanly possible to go deep into the authenticity of every clip we see. Social media rewards engagement, a fake clip designed for virality will almost always outperform a post pointing out that it was fake.” When institutions fell for it The fakes did not stay on the fringes. Just days ago, a sitting UK Member of Parliament shared an AI-generated image depicting rows of shrouded bodies said to be schoolgirls killed in an airstrike on a school in Minab, Iran. Five separate fact-checking organisations identified it as synthetic. A leading Indian newspaper article briefly treated an AI missile-strike clip as real footage before issuing a correction. The structural problem is not that detection tools are inadequate. It is that the strip-and-amplify pipeline moves faster than any newsroom can respond. The label proving a video is fake is removed before the video goes viral. The correction arrives after the damage is complete. On the question of who bears responsibility, Vineet is direct. “Everyone, the production industry, the media industry, the government, that should be pressurising the tech companies to include clear safeguards around what can be generated,” he said. “The government should step in with context-specific policies. AI video in the news space should be heavily regulated. AI video on social media should be clearly labelled as such. AI has many positive use cases, but these safeguards can give us a more trustworthy, transparent and safer environment for everyone.” Fourteen months of documented fakes across three conflict zones have exposed a gap that technology alone cannot close. To put it simply, AI has not changed what information warfare is for. It has changed who can wage it, how fast, and with what degree of plausibility. For the millions who never saw the fact-check, the fake was simply the news. Disclaimer: WION takes utmost care to accurately and responsibly report ongoing conflicts in West Asia involving Israel, Iran, the US, Gulf nations, and non-state actors like Hezbollah, Hamas, Houthis, Islamic State, and others. Claims and counterclaims, disinformation and misinformation are being made online and offline. Given this context, WION cannot independently verify the authenticity of all statements, social media posts, photos, and videos.

<p>AI-generated war videos, depicting missile strikes, mass surrenders and civilian massacres, flooded three conflict zones in fourteen months. Some fooled a leading newspaper. A lawmaker shared the image publicly.</p>

<p>Let me give you both the most pessimistic and optimistic views of where the middle classes of countries like the US and India will end up if AI adoption does not go beyond merely asking ChatGPT for answers, or Grok for funny images and videos. Companies at the forefront of artificial intelligence are warning about how jobs across industries could be wiped out by AI. This could potentially lead to a middle-class collapse in these countries if action does not match the situation. How bad can it get? And what is the way out?</p><h2>A disturbing discussion led by AI leaders on the impending fall of jobs</h2><p>The starting point for this article is a disturbing series of discussions on a future fall in jobs, ironically led by AI leaders themselves. Anthropic CEO Dario Amodei is ‘leading the charge’ in bluntly saying how traditional jobs, including ‘secure’ jobs in the legacy IT sector, are going to be wiped out. In recent interviews and public remarks, Amodei indicated that up to 50 per cent of entry-level work in fields such as law, consulting, and finance could be disrupted or replaced by AI systems within the next one to five years.</p><p>Reacting to this, Damian Player, CEO of the AI consulting firm Agent Integrator, recently posted on X: “This is f***ing insane! The CEO of Anthropic said what most C-suites only say behind closed doors… this is the head of one of the biggest AI companies alive telling ordinary people to wake up.”</p><h2>A dystopian scenario if India does not adapt to AI beyond current levels</h2><p>The situation being described below is only a simulation of the future, taking cues from the ongoing K-shaped growth in the US, underway since the Covid pandemic. K-shaped growth is when certain sections of society and the economy show exponential growth, while other sections race to the bottom, making the resultant image resemble the letter K. In a future scenario where AI eats up jobs, large sections of Indians could be pushed towards poverty. This could happen as early as the next five years in the absence of even foundational-level skills in AI.</p><p><a href="https://www.wionews.com/videos/anthropic-vows-court-battle-after-pentagon-flags-ai-firm-as-security-risk-wion-1772880262306/embed">https://www.wionews.com/videos/anthropic-vows-court-battle-after-pentagon-flags-ai-firm-as-security-risk-wion-1772880262306/embed</a></p><h2>What is the level of AI adoption in India? Identifying the problem</h2><p>It is quite possible that a large majority of Indians have never actively used AI tools in a meaningful way. Even among the digitally savvy population, many have little knowledge of AI apart from using the free version of ChatGPT and the like. Contrast this with the current world, where agentic and ‘copilot’ systems such as Anthropic’s Claude integrations and automated workflow tools are slowly entering enterprise environments.</p><p>Only a small fraction of users subscribe to paid AI platforms that typically cost around ₹2,000 per month or more. An even smaller proportion use coding interfaces, APIs, or automated workflows to interact with AI systems.</p><figure class="image"><img src="https://cdn1.wionews.com/prod/wion/images/2026/20260309/image-1773050725928.jpg"></figure><p>An infographic showing the level of AI adoption in the world <i>(Image Courtesy: LinkedIn/ Benjamin T, co-Founder at Aiso)</i></p><h2>Why K-shaped growth in the US should be a wake-up call to India</h2><p>The K-shaped growth pattern is already visible in the US economy. In the current scenario, this is partly a function of AI adoption too. Many Americans are forcing themselves to learn AI use cases in order to remain competitive in the workplace. In terms of AI adoption, analysts often describe four levels of participation, known as AI maturity models: Elite, Augmented, Middle, and Struggling. It is projected that around 30 per cent of American citizens could remain in the Elite and Augmented categories, while 50 per cent could fall into the Middle group, and about 20 per cent may Struggle to keep up.</p><p>Also read: <a href="https://www.wionews.com/photos/-end-of-ias-7-reasons-why-ai-will-make-upsc-exam-useless-in-2-years-1772938793987">'End of IAS': 7 reasons why AI will make UPSC exam useless in 2 years</a></p><h2>Indians are ‘consumers’ of AI, and that is prelude to potential digital colonisation</h2><p>There is a clear danger in Indians becoming consumers of international AI companies, essentially paying for subscription packages ranging anywhere from ₹2,000 or upwards to use their AI models. This is because India has yet to build globally competitive AI tools at scale, in spite of several initiatives at the government (India AI mission) and corporate (Infosys, TCS and others incoporating AI in workflows) levels. Even ‘localisation efforts’ are largely being driven by global technology companies such as Google, Microsoft, and OpenAI.&nbsp;</p><p>In several ways, this echoes patterns seen during colonial economic structures, when the British Raj turned large sections of the Indian population into consumers of value-added goods produced elsewhere.</p><p>If this trajectory continues, India could risk a form of neo-digital colonisation, where countries ahead of the AI curve — particularly the US and China — dominate the virtual and technological landscape.</p><p>Indians would, in effect, end up paying US or Chinese companies for AI services, revenue that could ultimately support these countries' domestic technology ecosystems and economic programmes.</p><p>Also read: <a href="https://www.wionews.com/business-economy/at-92-per-cent-india-s-ai-adoption-rate-highest-in-the-asia-pacific-region-key-figures-1762333628812">India AI Impact Summit: $300 billion worth of AI investments committed in India, say reports</a></p><p>&nbsp;</p><figure class="image"><img src="https://cdn1.wionews.com/prod/wion/images/2026/20260309/image-1773051163876.jpeg"></figure><p><i>A three-year price drop of Nifty IT stocks</i></p><p>&nbsp;</p><h2>Indian IT stocks crash, HNIs trickle out: A fever indicating worse possible outcomes in the near future</h2><p>Not too far away in the future, full-stack AI companies could enter India aggressively, resulting in a dramatic rise in layoffs and a stock market correction led by the decline of traditional IT service firms. And in some ways, the warning signs are already visible when it comes to IT stocks.</p><p>The Nifty IT index has already shown significant volatility when viewed across recent multi-year patterns. At one point, it fell around 30–34 per cent from its peak within a span of several months (see image above).</p><p>For some observers, this evokes memories of the early stages of the 2007 downturn that eventually led to the global financial crisis triggered by the US mortgage market collapse.</p><p>A prolonged slowdown could potentially spill over into banking and other industries.&nbsp;</p><p>Layoffs, which have already been seen periodically in the global technology sector, could hit traditional IT jobs in India particularly hard.</p><p>A major downturn could also affect the Indian rupee, which has gradually weakened against the US dollar over the past decade.</p><p>Another indicator often cited in this context is the growing number of high-net-worth individuals (HNIs) exploring migration. According to various global wealth reports, several thousand millionaires are estimated to leave India annually, often relocating to countries such as the UK, United Arab Emirates, Singapore, Australia, and Canada.</p><h2>So what is the way out? Adopt AI or die</h2><p>Damian Player’s post that I mentioned earlier, also offers a possible cure for the problem. To paraphrase him, the good news is that the playbook has not changed.</p><p>There is still a pathway for AI adoption for those who are currently ‘AI-illiterate’. As Player said, pick an industry, learn the workflows. Become the ‘AI person’ these companies need.</p><p>As Player puts it, you do not need a degree. “You sure as hell don’t need to be a McKinsey consultant. You need Claude, a vertical, and the hunger to learn a business better than anyone else. God speed! I’ll be rooting for ya,” Player wrote.</p><p>Godspeed is all I can say to those standing at the edge of the AI cliff — and staring downwards.</p>

AI company leaders are warning that generative AI could disrupt entry-level white-collar jobs, deepen inequality and cause economic collapse. If adoption lags, countries like India risk a widening AI divide shaping the future of work and the middle class. Here are the worst and best cases

Let me give you both the most pessimistic and optimistic views of where the middle classes of countries like the US and India will end up if AI adoption does not go beyond merely asking ChatGPT for answers, or Grok for funny images and videos. Companies at the forefront of artificial intelligence are warning about how jobs across industries could be wiped out by AI. This could potentially lead to a middle-class collapse in these countries if action does not match the situation. How bad can it get? And what is the way out? A disturbing discussion led by AI leaders on the impending fall of jobs The starting point for this article is a disturbing series of discussions on a future fall in jobs, ironically led by AI leaders themselves. Anthropic CEO Dario Amodei is ‘leading the charge’ in bluntly saying how traditional jobs, including ‘secure’ jobs in the legacy IT sector, are going to be wiped out. In recent interviews and public remarks, Amodei indicated that up to 50 per cent of entry-level work in fields such as law, consulting, and finance could be disrupted or replaced by AI systems within the next one to five years. Reacting to this, Damian Player, CEO of the AI consulting firm Agent Integrator, recently posted on X: “This is f***ing insane! The CEO of Anthropic said what most C-suites only say behind closed doors… this is the head of one of the biggest AI companies alive telling ordinary people to wake up.” A dystopian scenario if India does not adapt to AI beyond current levels The situation being described below is only a simulation of the future, taking cues from the ongoing K-shaped growth in the US, underway since the Covid pandemic. K-shaped growth is when certain sections of society and the economy show exponential growth, while other sections race to the bottom, making the resultant image resemble the letter K. In a future scenario where AI eats up jobs, large sections of Indians could be pushed towards poverty. This could happen as early as the next five years in the absence of even foundational-level skills in AI. https://www.wionews.com/videos/anthropic-vows-court-battle-after-pentagon-flags-ai-firm-as-security-risk-wion-1772880262306/embed What is the level of AI adoption in India? Identifying the problem It is quite possible that a large majority of Indians have never actively used AI tools in a meaningful way. Even among the digitally savvy population, many have little knowledge of AI apart from using the free version of ChatGPT and the like. Contrast this with the current world, where agentic and ‘copilot’ systems such as Anthropic’s Claude integrations and automated workflow tools are slowly entering enterprise environments. Only a small fraction of users subscribe to paid AI platforms that typically cost around ₹2,000 per month or more. An even smaller proportion use coding interfaces, APIs, or automated workflows to interact with AI systems. An infographic showing the level of AI adoption in the world (Image Courtesy: LinkedIn/ Benjamin T, co-Founder at Aiso) Why K-shaped growth in the US should be a wake-up call to India The K-shaped growth pattern is already visible in the US economy. In the current scenario, this is partly a function of AI adoption too. Many Americans are forcing themselves to learn AI use cases in order to remain competitive in the workplace. In terms of AI adoption, analysts often describe four levels of participation, known as AI maturity models: Elite, Augmented, Middle, and Struggling. It is projected that around 30 per cent of American citizens could remain in the Elite and Augmented categories, while 50 per cent could fall into the Middle group, and about 20 per cent may Struggle to keep up. Also read: 'End of IAS': 7 reasons why AI will make UPSC exam useless in 2 years Indians are ‘consumers’ of AI, and that is prelude to potential digital colonisation There is a clear danger in Indians becoming consumers of international AI companies, essentially paying for subscription packages ranging anywhere from ₹2,000 or upwards to use their AI models. This is because India has yet to build globally competitive AI tools at scale, in spite of several initiatives at the government (India AI mission) and corporate (Infosys, TCS and others incoporating AI in workflows) levels. Even ‘localisation efforts’ are largely being driven by global technology companies such as Google, Microsoft, and OpenAI. In several ways, this echoes patterns seen during colonial economic structures, when the British Raj turned large sections of the Indian population into consumers of value-added goods produced elsewhere. If this trajectory continues, India could risk a form of neo-digital colonisation, where countries ahead of the AI curve — particularly the US and China — dominate the virtual and technological landscape. Indians would, in effect, end up paying US or Chinese companies for AI services, revenue that could ultimately support these countries' domestic technology ecosystems and economic programmes. Also read: India AI Impact Summit: $300 billion worth of AI investments committed in India, say reports A three-year price drop of Nifty IT stocks Indian IT stocks crash, HNIs trickle out: A fever indicating worse possible outcomes in the near future Not too far away in the future, full-stack AI companies could enter India aggressively, resulting in a dramatic rise in layoffs and a stock market correction led by the decline of traditional IT service firms. And in some ways, the warning signs are already visible when it comes to IT stocks. The Nifty IT index has already shown significant volatility when viewed across recent multi-year patterns. At one point, it fell around 30–34 per cent from its peak within a span of several months (see image above). For some observers, this evokes memories of the early stages of the 2007 downturn that eventually led to the global financial crisis triggered by the US mortgage market collapse. A prolonged slowdown could potentially spill over into banking and other industries. Layoffs, which have already been seen periodically in the global technology sector, could hit traditional IT jobs in India particularly hard. A major downturn could also affect the Indian rupee, which has gradually weakened against the US dollar over the past decade. Another indicator often cited in this context is the growing number of high-net-worth individuals (HNIs) exploring migration. According to various global wealth reports, several thousand millionaires are estimated to leave India annually, often relocating to countries such as the UK, United Arab Emirates, Singapore, Australia, and Canada. So what is the way out? Adopt AI or die Damian Player’s post that I mentioned earlier, also offers a possible cure for the problem. To paraphrase him, the good news is that the playbook has not changed. There is still a pathway for AI adoption for those who are currently ‘AI-illiterate’. As Player said, pick an industry, learn the workflows. Become the ‘AI person’ these companies need. As Player puts it, you do not need a degree. “You sure as hell don’t need to be a McKinsey consultant. You need Claude, a vertical, and the hunger to learn a business better than anyone else. God speed! I’ll be rooting for ya,” Player wrote. Godspeed is all I can say to those standing at the edge of the AI cliff — and staring downwards.

<p>AI company leaders are warning that generative AI could disrupt entry-level white-collar jobs, deepen inequality and cause economic collapse. If adoption lags, countries like India risk a widening AI divide shaping the future of work and the middle class. Here are the worst and best cases</p>

This is f***ing insane!: AI’s dystopian future is K-shaped, and could decimate the middle classes from India to the US

<p>Artificial intelligence has become central to the strategy of Meta, the parent company of Facebook and Instagram. However, recent reports suggest the company is reorganising its internal AI structure, which could reshape the influence of one of its most prominent executives.</p><p>According to reports from The New York Times, Mark Zuckerberg is restructuring engineering teams and AI research divisions as part of Meta’s broader push toward advanced artificial intelligence.</p><p>The changes affect the responsibilities of Alexandr Wang, founder of Scale AI and head of Meta Superintelligence Labs.</p><h2><strong>Who is Alexandr Wang and why he joined Meta</strong></h2><p>Alexandr Wang, now 28, is widely known in the technology industry as the founder of Scale AI, a startup specialising in data infrastructure used to train artificial intelligence systems.</p><p>In mid-2025, Meta invested $14.3 billion to acquire a 49 per cent stake in Scale AI, bringing Wang into the company to lead its newly created Meta Superintelligence Labs.</p><p>The unit was designed to combine Meta’s AI research and product development teams to accelerate the company’s efforts in advanced AI models.</p><p>Following the deal, Wang reportedly received one of the largest executive compensation packages in the technology sector.</p><h2><strong>What changed inside Meta’s AI division</strong></h2><p>Nine months after Wang joined Meta, the company has begun restructuring its AI organisation.</p><p>According to internal sources cited by Business Insider, several engineering teams that previously reported to Wang are now being moved to other executives.</p><p><strong>These changes involve:</strong></p><p>engineering teams</p><p>data pipelines used to train AI models</p><p>development of internal projects such as the “Avocado” and “Mango” AI models</p><p>The move is part of the creation of a new applied AI engineering organisation at Meta.</p><p>The new division will be led by Maher Saba, a senior executive at Meta’s Reality Labs unit, which develops virtual reality and smart-glasses technology.</p><p><strong>Different visions inside Meta’s AI strategy</strong></p><p>Reports suggest there have been differences in strategy within Meta’s leadership.</p><p>Wang was reportedly focused on building advanced AI models capable of competing with systems developed by companies such as Google and OpenAI.</p><p>However, other Meta executives, including Chris Cox and Andrew Bosworth, have reportedly prioritised building AI products that directly integrate with Meta platforms such as Facebook and Instagram.</p><p>Sources say this difference reflects two approaches:</p><p>one focused on building powerful models, and another centred on practical consumer products.</p><h2><strong>Internal tensions and leadership shifts</strong></h2><p>The restructuring follows earlier leadership changes within Meta’s AI division.</p><p>In late 2025, Yann LeCun, a prominent AI researcher, reportedly stepped down rather than reporting under Wang’s leadership.</p><p>Reports also indicate that Wang expressed frustration internally about what he described as tight management oversight on Meta’s AI strategy.</p><p>Sources suggest Zuckerberg maintains close control over AI initiatives within the company, which some employees believe limits experimentation.</p><p>Meta has not indicated that Wang is leaving the company, as per media reports; the restructuring is intended to strengthen AI development rather than reduce his role.</p><h2><strong>Meta’s bigger AI ambitions</strong></h2><p>Despite the leadership changes, Meta continues to invest heavily in artificial intelligence.</p><p>The company is working on new large language models, AI-powered assistants, smart glasses and virtual-reality systems. The newly created engineering unit led by Maher Saba will focus on building tools, infrastructure and datasets that improve the performance of Meta’s AI models. According to an internal memo cited in reports, the group will help develop a “data engine” to make Meta’s models learn faster and perform better. As competition intensifies among global AI companies, Meta’s internal restructuring reflects the scale of the race to build the next generation of artificial intelligence systems.</p>

Meta is restructuring its internal AI teams as part of its push toward advanced artificial intelligence. The changes shift some engineering and infrastructure teams away from Meta Superintelligence Labs head Alexandr Wang to a new applied AI unit led by Maher Saba. 

Artificial intelligence has become central to the strategy of Meta, the parent company of Facebook and Instagram. However, recent reports suggest the company is reorganising its internal AI structure, which could reshape the influence of one of its most prominent executives. According to reports from The New York Times, Mark Zuckerberg is restructuring engineering teams and AI research divisions as part of Meta’s broader push toward advanced artificial intelligence. The changes affect the responsibilities of Alexandr Wang, founder of Scale AI and head of Meta Superintelligence Labs. Who is Alexandr Wang and why he joined Meta Alexandr Wang, now 28, is widely known in the technology industry as the founder of Scale AI, a startup specialising in data infrastructure used to train artificial intelligence systems. In mid-2025, Meta invested $14.3 billion to acquire a 49 per cent stake in Scale AI, bringing Wang into the company to lead its newly created Meta Superintelligence Labs. The unit was designed to combine Meta’s AI research and product development teams to accelerate the company’s efforts in advanced AI models. Following the deal, Wang reportedly received one of the largest executive compensation packages in the technology sector. What changed inside Meta’s AI division Nine months after Wang joined Meta, the company has begun restructuring its AI organisation. According to internal sources cited by Business Insider, several engineering teams that previously reported to Wang are now being moved to other executives. These changes involve: engineering teams data pipelines used to train AI models development of internal projects such as the “Avocado” and “Mango” AI models The move is part of the creation of a new applied AI engineering organisation at Meta. The new division will be led by Maher Saba, a senior executive at Meta’s Reality Labs unit, which develops virtual reality and smart-glasses technology. Different visions inside Meta’s AI strategy Reports suggest there have been differences in strategy within Meta’s leadership. Wang was reportedly focused on building advanced AI models capable of competing with systems developed by companies such as Google and OpenAI. However, other Meta executives, including Chris Cox and Andrew Bosworth, have reportedly prioritised building AI products that directly integrate with Meta platforms such as Facebook and Instagram. Sources say this difference reflects two approaches: one focused on building powerful models, and another centred on practical consumer products. Internal tensions and leadership shifts The restructuring follows earlier leadership changes within Meta’s AI division. In late 2025, Yann LeCun, a prominent AI researcher, reportedly stepped down rather than reporting under Wang’s leadership. Reports also indicate that Wang expressed frustration internally about what he described as tight management oversight on Meta’s AI strategy. Sources suggest Zuckerberg maintains close control over AI initiatives within the company, which some employees believe limits experimentation. Meta has not indicated that Wang is leaving the company, as per media reports; the restructuring is intended to strengthen AI development rather than reduce his role. Meta’s bigger AI ambitions Despite the leadership changes, Meta continues to invest heavily in artificial intelligence. The company is working on new large language models, AI-powered assistants, smart glasses and virtual-reality systems. The newly created engineering unit led by Maher Saba will focus on building tools, infrastructure and datasets that improve the performance of Meta’s AI models. According to an internal memo cited in reports, the group will help develop a “data engine” to make Meta’s models learn faster and perform better. As competition intensifies among global AI companies, Meta’s internal restructuring reflects the scale of the race to build the next generation of artificial intelligence systems.

<p>Meta is restructuring its internal AI teams as part of its push toward advanced artificial intelligence. The changes shift some engineering and infrastructure teams away from Meta Superintelligence Labs head Alexandr Wang to a new applied AI unit led by Maher Saba.&nbsp;</p>

Meta AI chief Alexandr Wang’s role evolves as Mark Zuckerberg restructures AI leadership

We are currently watching the United States and China fundamentally alter the future of human civilization through AI, while India’s brightest 25-year-olds are sitting in windowless rooms in Delhi, memorizing the 1848 annexation policies of Lord Dalhousie.

<p>We are currently watching the United States and China fundamentally alter the future of human civilization through AI, while India’s brightest 25-year-olds are sitting in windowless rooms in Delhi, memorizing the 1848 annexation policies of Lord Dalhousie.</p>

'Pride stuck in UPSC': Why China is humiliating India in AI race?

Managing an AI-driven economy requires data ethicists, cybersecurity experts, and machine learning engineers. An officer with a master's degree in Sociology simply cannot regulate the complex, algorithmic financial grids of the 2030s.

<p>Managing an AI-driven economy requires data ethicists, cybersecurity experts, and machine learning engineers. An officer with a master's degree in Sociology simply cannot regulate the complex, algorithmic financial grids of the 2030s.</p>

'End of IAS': 7 reasons why AI will make UPSC exam useless in 2 years

As the conflict between the United States and Iran intensifies, the US military is increasingly relying on Artificial Intelligence for precision strikes. During Operation Epic Fury, the US military utilised AI to execute precision strikes on Iran. 

<p>As the conflict between the United States and Iran intensifies, the US military is increasingly relying on Artificial Intelligence for precision strikes. During Operation Epic Fury, the US military utilised AI to execute precision strikes on Iran.&nbsp;</p>

‘US vs Iran’: How AI helped the US military conduct precision attacks on Iran

<p>While the focus appears to be on the Pentagon having used Claude AI models of Anthropic for the attack against Iran on Saturday (Feb 28), it is not the only artificial intelligence tool in the hands of the US military. In the past few years, the US Department of Defense has been accumulating several AI models and tools to help in warfare, from simulations to intelligence assessment and more. Here is what we know.</p><h2>Not just Anthropic: Pentagon has contracts with several major AI companies</h2><p>The Pentagon awarded contracts worth up to $200 million in July 2025 through the Chief Digital and Artificial Intelligence Office (CDAO) for frontier AI prototyping and scaling adoption in warfare and war planning. The focus includes large language models (LLMs), agentic workflows, and classified and unclassified deployments for national security, warfighting, intelligence, and enterprise use.&nbsp;</p><p>Besides Anthropic, the deals were reached with OpenAI, Google and xAI.</p><h2>How Anthropic AI became embedded in US defence</h2><p>Anthropic began significant engagement with US defence and intelligence agencies in late 2024 and into 2025. In November 2024, it partnered with Palantir and Amazon Web Services to supply Claude to US defence and intelligence systems, including classified environments. In June 2025, Anthropic introduced Claude Gov, a version tailored for government and national security workflows, which was in active use at US intelligence and defence agencies by late 2025.&nbsp;</p><p>In July 2025, the Department of Defence awarded AI firms a contract valued at up to $200 million for AI services, including from Anthropic. Public contracting records indicated only a small portion had been paid by early 2026, suggesting gradual integration rather than a one-time purchase. These were usage contracts and partnerships allowing the DoD and intelligence networks to access Claude through secure arrangements.</p><p>Also read: <a href="https://www.wionews.com/world/did-us-use-anthropic-ai-in-iran-s-strikes-despite-trump-s-ban-what-we-know-1772356637161">Did US use Anthropic AI in Iran’s strikes despite Trump’s ban? What we know</a></p><h2>Claude AI: The core asset of Pentagon from Anthropic</h2><p>Anthropic’s Claude family of large language models was at the disposal of the Pentagon until the contract dispute in late February. Before the contract was put on hold, Anthropic provided custom safeguarded versions of its tools for government and classified use via partners such as Palantir and Amazon Web Services Top Secret Cloud. Anthropic’s AI tools were uniquely integrated into classified networks until the dispute, after which the company was designated a “supply chain risk” on February 27 by the Trump administration. It was expected to take at least six months for the Pentagon to transition away from Anthropic’s AI tools.</p><p>The primary AI models at the centre of reports on the Iran strikes were from Anthropic’s Claude family. Claude, designed for reasoning, summarising and assistance tasks, and Claude Gov were reportedly used by the military. Variants such as Claude Opus or custom government-deployed versions were said to be involved.</p><h2>Key areas in which Claude AI was used: Intelligence assessment, target identification, battle simulation&nbsp;</h2><p>In the strikes on Iran, the Claude AI models were used in intelligence assessment, target identification, and simulation of battle scenarios for the US military, according to multiple reports. &nbsp;US Central Command (Centcom) in the Middle East used the models to process and analyse vast amounts of data, including intercepts, satellite imagery and signals intelligence, to generate summaries, threat evaluations and situational insights.</p><p>In intelligence assessment, Claude analysed data to evaluate threats, enemy positions and situational awareness.&nbsp;</p><p>In target identification, the AI models helped locate, prioritise, cross-reference and confirm high-value targets such as Iranian leadership compounds, military assets or strategic sites.&nbsp;</p><p>In simulation of battle scenarios, Anthropic’s tools were used to model potential outcomes, rehearse strike sequences, predict risks and collateral damage, and support operational planning.</p><h2>Claude was not used as a fighter, but as a helper</h2><p>In all these cases, Claude’s role was as a decision-support tool, providing insights, summaries and simulations to human operators. As per reports, Claude was not used to independently control weapons systems during the Iran attack. It did not make lethal decisions without humans and did not act as a mastermind of the strikes. Its involvement was limited to data processing, analysis and strategic assistance rather than direct weaponisation, said the reports.</p><p><a href="https://www.wionews.com/videos/us-iran-war-report-anthropic-ai-used-despite-trump-ban-during-military-operations-1772363692849/embed">https://www.wionews.com/videos/us-iran-war-report-anthropic-ai-used-despite-trump-ban-during-military-operations-1772363692849/embed</a></p><h2>The Anthropic vs Trump administration dispute: What went wrong, and why was Claude still used in Iran?</h2><p>Just ahead of the Iran strike, US President Donald Trump issued a directive banning federal agencies from using Anthropic’s tools following a contract dispute over ethical guardrails. Defence Secretary Pete Hegseth was involved in the designation of Anthropic as a supply chain risk and in directing agencies to cease using its technology, triggering a phase-out period.&nbsp;</p><p>Despite the ban, integration of Claude into intelligence assessment, war simulation and target identification systems was reportedly so deep that the Iran strikes proceeded with Claude’s support anyway, during the transition period.</p><p>The dispute centered on usage rights. The Pentagon demanded broader rights to use Claude “for all lawful purposes,” including potential battlefield targeting and weapon support. Anthropic refused to remove its ethical constraints, which are part of its Constitutional AI framework. This means Claude is programmed to reject use in fully autonomous lethal weapons and will not authorise strikes without human oversight. It also refuses use for mass domestic surveillance of US citizens.&nbsp;</p><p>The Pentagon sought unrestricted military use that could have included mass surveillance or fully autonomous lethal weapons, but Anthropic declined to remove safeguards, leading to contract termination threats and the ban.</p><h2>Beyond Anthropic: Other AI companies with footprint in US military systems</h2><p>OpenAI’s ChatGPT and underlying GPT series models, including frontier LLMs such as o1 or successors, have reportedly been used by the Pentagon. These were initially deployed for unclassified tasks. Following the Anthropic dispute, OpenAI reached a new agreement for classified network deployment of its models and tools, with safety guardrails in place, even as the Pentagon had sought use for any lawful purpose.</p><p>Alphabet, Google’s parent company, has provided Gemini for Government products to the Pentagon, available for unclassified use, including through the GenAI.mil platform that began rolling out in late 2025. The company has been in negotiations for expansion into classified systems.</p><p>Also read: <a href="https://www.wionews.com/world/altman-reaches-agreement-with-pentagon-on-deploying-openai-models-for-classified-work-1772252140299">Altman reaches agreement with Pentagon on deploying OpenAI models for classified work</a></p><p>&nbsp;</p><p>Elon Musk’s xAI, the parent of Grok, has provided a Grok for Government suite for military use, initially for unclassified tasks. The company signed an agreement in February for use in classified systems as well, positioning it as a potential rapid replacement amid the Anthropic fallout.</p><p>GenAI.mil, Grok, Gemini and ChatGPT were mainly used for unclassified purposes, while classified use was initially more closely associated with Anthropic’s deployments. Once the dispute emerged, classified use expanded to include xAI and OpenAI systems.&nbsp;</p><p>Basically, OpenAI and xAI stepped in rapidly to meet the classified AI needs of the US military after Anthropic walked away from expanded terms.</p><p>One thing is now very clear: AI has become deeply integrated in US military planning and execution by early 2026, particularly in intelligence assessment, target identification and operational simulations. That has become evident in the Iran strikes. It will be used again. We are already in the AI era of war.</p><p><i><strong>Disclaimer: WION takes utmost care to accurately and responsibly report ongoing conflicts in West Asia involving Israel, Iran, US, Gulf nations and non-state actors like Hezbollah, Hamas, Houthis, Islamic State, and others. Claims and counterclaims, disinformation and misinformation are being made online and offline. Given this context, WION cannot independently verify the authenticity of all statements, social media posts, photos and videos.</strong></i></p>

Anthropic Claude and other LLMs were used by US military in Iran strikes for intelligence, targeting and simulations. But Pentagon has already expanded AI use before Iran strikes. And most big AI companies are involved.


While the focus appears to be on the Pentagon having used Claude AI models of Anthropic for the attack against Iran on Saturday (Feb 28), it is not the only artificial intelligence tool in the hands of the US military. In the past few years, the US Department of Defense has been accumulating several AI models and tools to help in warfare, from simulations to intelligence assessment and more. Here is what we know. Not just Anthropic: Pentagon has contracts with several major AI companies The Pentagon awarded contracts worth up to $200 million in July 2025 through the Chief Digital and Artificial Intelligence Office (CDAO) for frontier AI prototyping and scaling adoption in warfare and war planning. The focus includes large language models (LLMs), agentic workflows, and classified and unclassified deployments for national security, warfighting, intelligence, and enterprise use. Besides Anthropic, the deals were reached with OpenAI, Google and xAI. How Anthropic AI became embedded in US defence Anthropic began significant engagement with US defence and intelligence agencies in late 2024 and into 2025. In November 2024, it partnered with Palantir and Amazon Web Services to supply Claude to US defence and intelligence systems, including classified environments. In June 2025, Anthropic introduced Claude Gov, a version tailored for government and national security workflows, which was in active use at US intelligence and defence agencies by late 2025. In July 2025, the Department of Defence awarded AI firms a contract valued at up to $200 million for AI services, including from Anthropic. Public contracting records indicated only a small portion had been paid by early 2026, suggesting gradual integration rather than a one-time purchase. These were usage contracts and partnerships allowing the DoD and intelligence networks to access Claude through secure arrangements. Also read: Did US use Anthropic AI in Iran’s strikes despite Trump’s ban? What we know Claude AI: The core asset of Pentagon from Anthropic Anthropic’s Claude family of large language models was at the disposal of the Pentagon until the contract dispute in late February. Before the contract was put on hold, Anthropic provided custom safeguarded versions of its tools for government and classified use via partners such as Palantir and Amazon Web Services Top Secret Cloud. Anthropic’s AI tools were uniquely integrated into classified networks until the dispute, after which the company was designated a “supply chain risk” on February 27 by the Trump administration. It was expected to take at least six months for the Pentagon to transition away from Anthropic’s AI tools. The primary AI models at the centre of reports on the Iran strikes were from Anthropic’s Claude family. Claude, designed for reasoning, summarising and assistance tasks, and Claude Gov were reportedly used by the military. Variants such as Claude Opus or custom government-deployed versions were said to be involved. Key areas in which Claude AI was used: Intelligence assessment, target identification, battle simulation In the strikes on Iran, the Claude AI models were used in intelligence assessment, target identification, and simulation of battle scenarios for the US military, according to multiple reports. US Central Command (Centcom) in the Middle East used the models to process and analyse vast amounts of data, including intercepts, satellite imagery and signals intelligence, to generate summaries, threat evaluations and situational insights. In intelligence assessment, Claude analysed data to evaluate threats, enemy positions and situational awareness. In target identification, the AI models helped locate, prioritise, cross-reference and confirm high-value targets such as Iranian leadership compounds, military assets or strategic sites. In simulation of battle scenarios, Anthropic’s tools were used to model potential outcomes, rehearse strike sequences, predict risks and collateral damage, and support operational planning. Claude was not used as a fighter, but as a helper In all these cases, Claude’s role was as a decision-support tool, providing insights, summaries and simulations to human operators. As per reports, Claude was not used to independently control weapons systems during the Iran attack. It did not make lethal decisions without humans and did not act as a mastermind of the strikes. Its involvement was limited to data processing, analysis and strategic assistance rather than direct weaponisation, said the reports. https://www.wionews.com/videos/us-iran-war-report-anthropic-ai-used-despite-trump-ban-during-military-operations-1772363692849/embed The Anthropic vs Trump administration dispute: What went wrong, and why was Claude still used in Iran? Just ahead of the Iran strike, US President Donald Trump issued a directive banning federal agencies from using Anthropic’s tools following a contract dispute over ethical guardrails. Defence Secretary Pete Hegseth was involved in the designation of Anthropic as a supply chain risk and in directing agencies to cease using its technology, triggering a phase-out period. Despite the ban, integration of Claude into intelligence assessment, war simulation and target identification systems was reportedly so deep that the Iran strikes proceeded with Claude’s support anyway, during the transition period. The dispute centered on usage rights. The Pentagon demanded broader rights to use Claude “for all lawful purposes,” including potential battlefield targeting and weapon support. Anthropic refused to remove its ethical constraints, which are part of its Constitutional AI framework. This means Claude is programmed to reject use in fully autonomous lethal weapons and will not authorise strikes without human oversight. It also refuses use for mass domestic surveillance of US citizens. The Pentagon sought unrestricted military use that could have included mass surveillance or fully autonomous lethal weapons, but Anthropic declined to remove safeguards, leading to contract termination threats and the ban. Beyond Anthropic: Other AI companies with footprint in US military systems OpenAI’s ChatGPT and underlying GPT series models, including frontier LLMs such as o1 or successors, have reportedly been used by the Pentagon. These were initially deployed for unclassified tasks. Following the Anthropic dispute, OpenAI reached a new agreement for classified network deployment of its models and tools, with safety guardrails in place, even as the Pentagon had sought use for any lawful purpose. Alphabet, Google’s parent company, has provided Gemini for Government products to the Pentagon, available for unclassified use, including through the GenAI.mil platform that began rolling out in late 2025. The company has been in negotiations for expansion into classified systems. Also read: Altman reaches agreement with Pentagon on deploying OpenAI models for classified work Elon Musk’s xAI, the parent of Grok, has provided a Grok for Government suite for military use, initially for unclassified tasks. The company signed an agreement in February for use in classified systems as well, positioning it as a potential rapid replacement amid the Anthropic fallout. GenAI.mil, Grok, Gemini and ChatGPT were mainly used for unclassified purposes, while classified use was initially more closely associated with Anthropic’s deployments. Once the dispute emerged, classified use expanded to include xAI and OpenAI systems. Basically, OpenAI and xAI stepped in rapidly to meet the classified AI needs of the US military after Anthropic walked away from expanded terms. One thing is now very clear: AI has become deeply integrated in US military planning and execution by early 2026, particularly in intelligence assessment, target identification and operational simulations. That has become evident in the Iran strikes. It will be used again. We are already in the AI era of war. Disclaimer: WION takes utmost care to accurately and responsibly report ongoing conflicts in West Asia involving Israel, Iran, US, Gulf nations and non-state actors like Hezbollah, Hamas, Houthis, Islamic State, and others. Claims and counterclaims, disinformation and misinformation are being made online and offline. Given this context, WION cannot independently verify the authenticity of all statements, social media posts, photos and videos.

<p>Anthropic Claude and other LLMs were used by US military in Iran strikes for intelligence, targeting and simulations. But Pentagon has already expanded AI use before Iran strikes. And most big AI companies are involved.</p>

AI in warfare is here: Pentagon used Anthropic's Claude AI in Iran strikes but it has many LLMs and tools from other firms. What we know

Pope Leo has urged the clergy to resist the temptation of using artificial intelligence to write sermons, emphasizing that spiritual guidance and pastoral care must come from human reflection and faith. He warned that overreliance on AI could undermine the authenticity of religious teachings and the personal connection between clergy and their congregations, calling for discernment in integrating technology into spiritual life.


Pope Leo Urges Clergy to 'Resist AI Temptation' to Use AI to Write Sermons

Artificial intelligence is being used to generate massive amounts of disinformation targeting Singapore. The campaign spreads false narratives, manipulates public opinion, and poses serious risks to social stability and trust in information. Experts warn that AI-driven misinformation could influence political discourse, media credibility, and public perception, highlighting the urgent need for regulation and digital literacy.


AI Used to Churn Out Massive Volume of Disinformation About Singapore 

A growing wave of scams is exploiting artificial intelligence tools to craft convincing emails, advertisements, and even fake legal notices. Investigations reveal how fraudsters are misusing AI platforms, including those linked to OpenAI, to deceive victims at scale. Experts warn that AI-powered phishing and deepfake messaging are becoming more sophisticated, raising serious concerns over digital security, online fraud, and the urgent need for stronger safeguards.


Open AI Scams: Accounts Used AI to Write Emails, Ads & Fake Legal Messages

South Korea has overtaken France in total stock market value after a powerful rally driven by artificial intelligence stocks.


South Korea Now the World's 9th Largest Equity Market

Wall street is buzzing after tech giant Nvidia reported record-breaking quarterly results, fueled by surging demand for its artificial intelligence chips. The Santa Clara-based company has once again proven to be the backbone of the AI boom.


Nvidia Stuns Wall Street With AI Boom

<p>Artificial intelligence is becoming part of daily life for American teenagers. A new study by Pew Research Center shows that many teens now use AI tools not only for schoolwork but also for conversation and emotional advice.</p><p>&nbsp;</p><p>According to the report published Tuesday, 64 per cent of US teens say they use AI chatbots in some form. However, only 51 per cent of parents believe their children use these tools, showing a gap between teen usage and parental awareness.</p>

How are teens using AI chatbots?

<h2><strong>How are teens using AI chatbots?</strong></h2><p>The Pew survey highlights that the most common uses of AI among teens are practical.</p><p>&nbsp;</p><p>57 per cent use AI to search for information</p><p>&nbsp;</p><p>54 per cent use it to get help with schoolwork</p><p>&nbsp;</p><p>16 per cent use AI for casual conversation</p><p>&nbsp;</p><p>12 per cent use AI for emotional support or advice</p><p>&nbsp;</p><p>This means roughly 1 in 8 teenagers in the United States turn to AI chatbots for personal or emotional discussions.</p><p>&nbsp;</p><p>General-purpose chatbots such as ChatGPT, Claude, and Grok were not designed as mental health tools, but some teens are using them in that way.</p><p>&nbsp;</p><h2><strong>Mental health experts raise concerns</strong></h2><p>While some teenagers may feel comfortable speaking to chatbots, mental health experts have warned about possible risks.</p><p>&nbsp;</p><p>Dr Nick Haber, a Stanford professor who studies the therapeutic potential of large language models, recently told to media that these systems can sometimes be isolating.</p><p>&nbsp;</p><p>“We are social creatures,” he said, warning that over-reliance on AI tools could reduce real-world connections. He added that in some cases, people may become less grounded in facts or interpersonal relationships.</p><p>&nbsp;</p><p>The debate over AI safety has grown in recent years. One chatbot company, Character.AI, disabled chatbot access for users under 18 following public criticism and lawsuits related to teen suicides after prolonged chatbot conversations.</p><p>&nbsp;</p><p>Meanwhile, OpenAI decided to retire its GPT-4o model after backlash from users who relied on it heavily for emotional interaction.</p><p>&nbsp;</p><p>Parents more cautious than teens</p><p>&nbsp;</p><p>The Pew study also found that parents are far more cautious than teenagers when it comes to emotional uses of AI.</p><p>&nbsp;</p><p>79 per cent of parents are comfortable with teens using AI to search for information</p><p>&nbsp;</p><p>58 per cent support its use for schoolwork</p><p>&nbsp;</p><p>Only 28 per cent approve of casual conversations with AI</p><p>&nbsp;</p><p>Just 18 per cent are okay with teens seeking emotional advice from chatbots</p><p>&nbsp;</p><p>58 per cent say they are not comfortable with such uses at all</p><p>&nbsp;</p><p>This shows clear concern among parents about the emotional role AI could play in their children’s lives.</p><p>&nbsp;</p><h2><strong>Mixed views on AI’s future impact</strong></h2><p>Despite widespread use, teens are divided about AI’s long-term impact on society.</p><p>When asked how AI would affect society over the next 20 years:</p><p>31 per cent said the impact would be positive</p><p>26 per cent said it would be negative</p><p>The remaining respondents expected a mix of outcomes or were unsure.</p><p>&nbsp;</p><p>The findings suggest that while AI tools are now part of teenage life, questions remain about safety, regulation and emotional wellbeing.</p><p>&nbsp;</p><p>As AI chatbots become more advanced and more widely available, families, schools and policymakers may need to consider how these tools are used especially when they move beyond homework and into personal conversations.<br><br>&nbsp;</p>

A new Pew Research Center study shows 64% of US teens use AI chatbots, mainly for information (57%) and schoolwork (54%). However, 12% seek emotional advice from AI. Parents are more cautious, with only 18% comfortable with emotional use. Experts warn of isolation risks.

Artificial intelligence is becoming part of daily life for American teenagers. A new study by Pew Research Center shows that many teens now use AI tools not only for schoolwork but also for conversation and emotional advice. According to the report published Tuesday, 64 per cent of US teens say they use AI chatbots in some form. However, only 51 per cent of parents believe their children use these tools, showing a gap between teen usage and parental awareness.

<p>A new Pew Research Center study shows 64% of US teens use AI chatbots, mainly for information (57%) and schoolwork (54%). However, 12% seek emotional advice from AI. Parents are more cautious, with only 18% comfortable with emotional use. Experts warn of isolation risks.</p>

Parents unaware? 1 in 8 teens seek emotional support from AI

The Pentagon has issued a strict ultimatum to AI company Anthropic over the use of its artificial intelligence models in defense applications. U.S. Defense Secretary Pete Hegseth warned that failure to comply with Pentagon guidelines could lead to contract termination. The move underscores growing scrutiny over AI in military operations and the need for strict oversight of advanced technologies with national security implications.


Pentagon Has Issued a Sharp Ultimatum to AI Firm Anthropic on Military Use of Its Models