<p>Meta is preparing to cut thousands of jobs next month as it significantly ramps up investment in artificial intelligence (AI). In a memo sent to employees on Thursday (April 23), the company revealed plans to reduce its workforce by 10%, impacting around 8,000 employees, while also freezing hiring for thousands of open roles. The layoffs are largely driven by Meta’s increased spending in key areas, particularly AI.&nbsp;</p><p>&nbsp;</p><p>The company is expected to invest $135 billion this year alone, an amount roughly equal to its total AI spending over the previous three years combined, according to a source familiar with the memo. A company spokesperson confirmed the planned job cuts but declined to provide further details. Earlier this year, CEO Mark Zuckerberg had hinted at potential layoffs, emphasizing the growing efficiency of AI-powered workflows. He said that employees leveraging AI tools are able to accomplish tasks that previously required entire teams.</p><p>&nbsp;</p><p>"I think that 2026 is going to be the year that AI starts to dramatically change the way that we work," Zuckerberg said. Recent reports from Reuters suggested that Meta could cut more than 10,000 jobs this year, while the internal memo was first reported by Bloomberg.&nbsp;</p><p>&nbsp;</p><p><strong>Also Read: </strong><a href="https://www.wionews.com/world/trump-extends-israel-lebanon-ceasefire-by-three-weeks-after-white-house-meeting-1776996284895"><strong>Trump extends Israel-Lebanon ceasefire by three weeks after White House meeting</strong></a></p><h2>What will the severance package be for staff?</h2><p>Regarding severance, the company outlined benefits for affected US employees: “We will support those who are laid off with a generous severance package which, in the US, will include 16 weeks base pay plus two weeks for every year of employment,” the memo said. It added, “We will also cover the cost of COBRA health care coverage for US employees and their families for 18 months.”</p><p>&nbsp;</p><p><a href="https://www.wionews.com/videos/us-accuses-china-of-industrial-scale-theft-of-ai-technology-1776997769466/embed"><strong>https://www.wionews.com/videos/us-accuses-china-of-industrial-scale-theft-of-ai-technology-1776997769466/embed</strong></a></p><h2>And what about employees outside the US?</h2><p>For employees outside the United States, the company said, “Packages outside the US will be similar but vary by country, as will local timelines and processes. We will also offer career services to support people in finding another role, and immigration support for those who need it. We'll share more of these details in a follow-up post ahead of May 20.” The memo, signed by Gale, acknowledged the uncertainty surrounding the announcement: “I know this leaves everyone with nearly a month of ambiguity, which is incredibly unsettling. We will try to answer your questions here in the comments, but as we're still working through the details, we aren't able to share much more until later in May. Meanwhile, you can find more information on the People Portal, which includes our standard FAQs and logistical details for layoffs.”</p>

Meta plans to cut 10% of workforce, impacting 8,000 jobs, as it boosts AI spending to $135B. Zuckerberg says AI will transform work in 2026

Meta is preparing to cut thousands of jobs next month as it significantly ramps up investment in artificial intelligence (AI). In a memo sent to employees on Thursday (April 23), the company revealed plans to reduce its workforce by 10%, impacting around 8,000 employees, while also freezing hiring for thousands of open roles. The layoffs are largely driven by Meta’s increased spending in key areas, particularly AI. The company is expected to invest $135 billion this year alone, an amount roughly equal to its total AI spending over the previous three years combined, according to a source familiar with the memo. A company spokesperson confirmed the planned job cuts but declined to provide further details. Earlier this year, CEO Mark Zuckerberg had hinted at potential layoffs, emphasizing the growing efficiency of AI-powered workflows. He said that employees leveraging AI tools are able to accomplish tasks that previously required entire teams. "I think that 2026 is going to be the year that AI starts to dramatically change the way that we work," Zuckerberg said. Recent reports from Reuters suggested that Meta could cut more than 10,000 jobs this year, while the internal memo was first reported by Bloomberg. Also Read: Trump extends Israel-Lebanon ceasefire by three weeks after White House meeting What will the severance package be for staff? Regarding severance, the company outlined benefits for affected US employees: “We will support those who are laid off with a generous severance package which, in the US, will include 16 weeks base pay plus two weeks for every year of employment,” the memo said. It added, “We will also cover the cost of COBRA health care coverage for US employees and their families for 18 months.” https://www.wionews.com/videos/us-accuses-china-of-industrial-scale-theft-of-ai-technology-1776997769466/embed And what about employees outside the US? For employees outside the United States, the company said, “Packages outside the US will be similar but vary by country, as will local timelines and processes. We will also offer career services to support people in finding another role, and immigration support for those who need it. We'll share more of these details in a follow-up post ahead of May 20.” The memo, signed by Gale, acknowledged the uncertainty surrounding the announcement: “I know this leaves everyone with nearly a month of ambiguity, which is incredibly unsettling. We will try to answer your questions here in the comments, but as we're still working through the details, we aren't able to share much more until later in May. Meanwhile, you can find more information on the People Portal, which includes our standard FAQs and logistical details for layoffs.”

<p>Meta to cut 10% workforce amid $135 billion artificial intelligence push; around 8,000 jobs affected as company shifts focus to AI</p>

Meta layoffs: 8,000 employees to lose jobs in May amid massive AI push

In a stunning breakthrough for robotics and artificial intelligence, a humanoid robot has completed a half-marathon race, outperforming human participants and setting a new benchmark in endurance robotics. The robot not only finished the race successfully but also recorded a time that challenges competitive human runners, sparking global debate about the future of sports, AI, and human–machine competition. 

Humanoid Robot Wins Half-Marathon & Smashes Humans' Record 

The United States has accused China of conducting “industrial-scale theft” of artificial intelligence technology, escalating tensions between the world’s two largest economies. U.S. officials allege coordinated efforts involving cyber intrusions, corporate espionage, and forced technology transfers to gain access to cutting-edge AI systems.

US Accuses China of Industrial-Scale Theft of AI Technology

The legendary physicist Stephen Hawking warned that autonomous AI could ultimately spell the end of humanity.


‘Stephen Hawking on artificial intelligence: What he said before he died

A new AI-powered headset is shifting the focus of healthcare from the body to the brain. By tracking neural activity in real time, the device can detect subtle changes and potentially warn users about health risks before symptoms even appear. This breakthrough could transform early diagnosis, especially for neurological conditions. While it opens exciting possibilities, it also raises important questions about data privacy and how our brain signals might be used in the future.

AI Headset Can Read Your Brain? New Tech Monitors Neural Activity for Health Alerts

Renowned physicist Stephen Hawking had repeatedly warned that artificial intelligence could become an existential threat to humanity if not properly controlled. He cautioned that rapidly advancing AI systems might one day surpass human intelligence, raising concerns about safety, ethics, and long-term global risks.

Stephen Hawking Warned That AI Could Pose An Existential Risk 

They built it. They funded it. Now some of the world's leading AI researchers say they may have created something that cannot be controlled. In safety tests, AI models have tried to blackmail their creators, write self-spreading viruses, leave secret messages to future versions of themselves, and cancel safety alerts. Groups concerned about AI evading human control are now recruiting content creators to spread the message to mass audiences. But the warning itself is not new. It has been building for years, inside the very labs where these systems are being built.


The AI Doomsday: Could AI Turn on Humanity?  | Can Humans Control What They Build? 

Pope Leo XIV has warned that artificial intelligence could gradually replace reality with simulation if left unchecked, urging students to engage with technology responsibly while preserving human judgment and creativity. Speaking during an address to students, the Pope highlighted both the opportunities and risks of AI, encouraging young people to embrace innovation without losing sight of human values and critical thinking in a rapidly changing digital world.

Pope Leo Says AI Slowly Replacing Reality with Simulation; Urges Students to Embrace Technology 

Scientists in China are exploring the use of diamond-based materials to tackle one of the biggest challenges in the global AI race-excess heat generated by high-performance computing chips. Researchers say synthetic diamond’s exceptional thermal conductivity could help cool next-generation processors, improving efficiency and performance in advanced data centres and AI systems.


China's Diamond Fix for AI Race; Scientists Working Towards Reducing Heat

#Gravitas Google is reportedly in talks with the Pentagon to deploy its Gemini AI for classified military operations, a move that could redefine how wars are planned, fought, and controlled.


Pentagon Weighs Google’s Gemini AI for Military Use 

<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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overflow:hidden; padding:8px 0 7px; text-align:center; text-overflow:ellipsis; white-space:nowrap;"><a href="https://www.instagram.com/reel/DXJDlREgZr4/?utm_source=ig_embed&amp;utm_campaign=loading" style=" color:#c9c8cd; font-family:Arial,sans-serif; font-size:14px; font-style:normal; font-weight:normal; line-height:17px; text-decoration:none;" target="_blank">A post shared by Rishi Budhrani (@rishibudhrani)</a></p></div></blockquote>
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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.

'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