Meta and Google have told the Delhi High Court that they can't proactively monitor the unauthorised publication and dissemination of courtroom videos on their platforms. Meta stated it cannot act as a "super censor" or referee over daily content generation across Facebook and Instagram. Liability must rest strictly on the actual publisher or uploader. &nbsp;The submission was made in response to a Public Interest Litigation filed by advocate Vaibhav Singh alleging illegal recording and circulation of the April 13 hearing of Arvind Kejriwal seeking the recusal of Justice Swarana Kanta Sharma from the CBI's Delhi liquor policy case. The petitioner sought the removal of the videos from all the platforms. The petition also mentioned AAP leaders Manish Sisodia, Sanjay Singh, Sanjeev Jha, Punardeep Sawhney, Jarnail Singh, Mukesh Ahlawat, and Vinay Mishra, as well as the Congress's Digvijaya Singh and journalist Ravish Kumar.&nbsp;Also Read: <a href="https://www.wionews.com/world/rick-scott-pakistan-neutrality-khamenei-criticism-us-iran-mediation-1783424421189">'Where Bin Laden hid...': Rick Scott slams Pakistan's mediator role after Khamenei tribute</a>Meta responded that intermediaries are in no way responsible for user-generated content. It does not own or control user-generated content and has no obligation to proactively remove such content unless notified. Google also took a similar position, suggesting the functional limitation of monitoring user-generated content, including unauthorised recordings of court hearings, and determine wether it is unlawful, unless notified. They described themselves as intermediaries and suggested that responsibilities, if any, lie with the user or content creator.&nbsp;On April 23, the court directed the takedown of the social media posts containing videos of the court proceedings. The division bench of Justice V. Kameswar Rao and Justice Manmeet Pritam Singh Arora has impleaded the Ministry of Electronics and Information Technology (MeitY) as a respondent. The court noted that several respondents had not yet been served with notices, and the bench has adjourned the matter to August 27 for the next hearing. &nbsp;&nbsp;&nbsp;

Meta and Google told the Delhi High Court they cannot proactively monitor unauthorised courtroom videos, arguing that liability lies with uploaders and not intermediary platforms.

Meta and Google have told the Delhi High Court that they can't proactively monitor the unauthorised publication and dissemination of courtroom videos on their platforms. Meta stated it cannot act as a "super censor" or referee over daily content generation across Facebook and Instagram. Liability must rest strictly on the actual publisher or uploader. The submission was made in response to a Public Interest Litigation filed by advocate Vaibhav Singh alleging illegal recording and circulation of the April 13 hearing of Arvind Kejriwal seeking the recusal of Justice Swarana Kanta Sharma from the CBI's Delhi liquor policy case. The petitioner sought the removal of the videos from all the platforms. The petition also mentioned AAP leaders Manish Sisodia, Sanjay Singh, Sanjeev Jha, Punardeep Sawhney, Jarnail Singh, Mukesh Ahlawat, and Vinay Mishra, as well as the Congress's Digvijaya Singh and journalist Ravish Kumar. Also Read: 'Where Bin Laden hid...': Rick Scott slams Pakistan's mediator role after Khamenei tribute Meta responded that intermediaries are in no way responsible for user-generated content. It does not own or control user-generated content and has no obligation to proactively remove such content unless notified. Google also took a similar position, suggesting the functional limitation of monitoring user-generated content, including unauthorised recordings of court hearings, and determine wether it is unlawful, unless notified. They described themselves as intermediaries and suggested that responsibilities, if any, lie with the user or content creator. On April 23, the court directed the takedown of the social media posts containing videos of the court proceedings. The division bench of Justice V. Kameswar Rao and Justice Manmeet Pritam Singh Arora has impleaded the Ministry of Electronics and Information Technology (MeitY) as a respondent. The court noted that several respondents had not yet been served with notices, and the bench has adjourned the matter to August 27 for the next hearing.

Meta and Google told the Delhi High Court they cannot proactively monitor unauthorised courtroom videos, arguing that liability lies with uploaders and not intermediary platforms.

Meta, Google tell Delhi High Court they can't proactively act as 'super censor'

Britain's Competition and Markets Authority (CMA) has proposed major reforms that could reshape how Apple and Google operate their app stores in the UK. The regulator wants developers to be allowed to direct users to alternative payment methods outside Apple's App Store and Google Play, potentially reducing commission fees and boosting competition.

The proposals could also pave the way for UK fintech firms to build rival digital wallets on Apple's iPhone ecosystem. If implemented, the changes would mark one of the biggest regulatory challenges yet to Apple and Google's control over mobile app payments.


UK targets Apple & Google app stores with major payment rule overhaul

Seconds before the 7.2 magnitude earthquake struck Venezuela, Android users received a warning from Google. The alert displayed the estimated magnitude of the earthquake and how far it was from the user’s location, offering them a tiny window in which they could reach a safe place. The foreshock was followed by an even bigger 7.5 magnitude aftershock 39 seconds later. The temblors have killed 164 people and injured nearly 1,000. People are now asking whether Google predicted the quake? It did not. Google’s Android Earthquake Alerts System detected the seismic activity and moments before the big one hit.&nbsp;The warning came only a few seconds before the earthquake, and this small timeframe is believed to have saved many lives. Users on X wrote that an alarm rang on their phone, after which they rushed outside. How does Google’s earthquake alert system work?&nbsp;According to Google, the system used the reach of Android’s platform to help detect earthquakes. Each Android phone is like a mini seismometer. As millions of other Android phones connect, they form the world’s largest earthquake detection network. Also Read: <a href="https://www.wionews.com/world/164-dead-around-1-000-injured-after-powerful-quakes-aftershocks-rock-venezuela-1782384631734">164 dead, around 1,000 injured after powerful quakes, aftershocks rock Venezuela</a><h2>How does a phone detect an earthquake?</h2> All smartphones are equipped with tiny accelerometers that can detect signals of an incoming earthquake. If it thinks it is an earthquake, it shoots a signal to Google’s earthquake detection server along with a rough idea of where it is happening. When the same signal is received from many phones, the server combines all the information to figure out if an earthquake is coming. Since the signals are sent roughly at the speed of light, which is faster than the speed of an earthquake, people receive the alerts before the earthquake finally strikes.&nbsp;https://www.wionews.com/videos/venezuela-earthquake-twin-quake-strikes-caracas-buildings-collapse-residents-flee-in-panic-1782390432182/embed&nbsp;Seismology and disaster experts Dr Richard Allen, Dr Qingkai Kong and Dr Lucy Jones have together developed this approach to detecting earthquakes.&nbsp;<h2>How Japan is detecting megaquakes</h2>&nbsp;Despite decades of studies, earthquakes remain impossible to predict. However, countries like Japan have come up with ways to detect the initial signals and alert people in time. It has an early warning system in place since around 2007, which warns people about the intensity of the incoming quake and the time it is expected to hit, as per the Japan Meteorological Agency (JMA) website. In 2022, the Headquarters for Earthquake Research Promotion (HERP) and the JMA upgraded this system to detect large mega-earthquakes. The "foreshock-based alert" is triggered when a magnitude 7.0 or higher earthquake has already occurred in key subduction zones. &nbsp;

Google’s Android Earthquake Alerts System warned people about the intensity of an earthquake that would soon hit their area, giving them precious seconds to escape to a safe location. Multiple Android phones work together to alert Google about the temblors.  

Seconds before the 7.2 magnitude earthquake struck Venezuela, Android users received a warning from Google. The alert displayed the estimated magnitude of the earthquake and how far it was from the user’s location, offering them a tiny window in which they could reach a safe place. The foreshock was followed by an even bigger 7.5 magnitude aftershock 39 seconds later. The temblors have killed 164 people and injured nearly 1,000. People are now asking whether Google predicted the quake? It did not. Google’s Android Earthquake Alerts System detected the seismic activity and moments before the big one hit. The warning came only a few seconds before the earthquake, and this small timeframe is believed to have saved many lives. Users on X wrote that an alarm rang on their phone, after which they rushed outside. How does Google’s earthquake alert system work? According to Google, the system used the reach of Android’s platform to help detect earthquakes. Each Android phone is like a mini seismometer. As millions of other Android phones connect, they form the world’s largest earthquake detection network. Also Read: 164 dead, around 1,000 injured after powerful quakes, aftershocks rock Venezuela How does a phone detect an earthquake? All smartphones are equipped with tiny accelerometers that can detect signals of an incoming earthquake. If it thinks it is an earthquake, it shoots a signal to Google’s earthquake detection server along with a rough idea of where it is happening. When the same signal is received from many phones, the server combines all the information to figure out if an earthquake is coming. Since the signals are sent roughly at the speed of light, which is faster than the speed of an earthquake, people receive the alerts before the earthquake finally strikes. https://www.wionews.com/videos/venezuela-earthquake-twin-quake-strikes-caracas-buildings-collapse-residents-flee-in-panic-1782390432182/embed Seismology and disaster experts Dr Richard Allen, Dr Qingkai Kong and Dr Lucy Jones have together developed this approach to detecting earthquakes. How Japan is detecting megaquakes Despite decades of studies, earthquakes remain impossible to predict. However, countries like Japan have come up with ways to detect the initial signals and alert people in time. It has an early warning system in place since around 2007, which warns people about the intensity of the incoming quake and the time it is expected to hit, as per the Japan Meteorological Agency (JMA) website. In 2022, the Headquarters for Earthquake Research Promotion (HERP) and the JMA upgraded this system to detect large mega-earthquakes. The "foreshock-based alert" is triggered when a magnitude 7.0 or higher earthquake has already occurred in key subduction zones.

Google’s Android Earthquake Alerts System warned people about the intensity of an earthquake that would soon hit their area, giving them precious seconds to escape to a safe location. Multiple Android phones work together to alert Google about the temblors. &nbsp;

How Google warned Venezuela of an earthquake using Android phones as seismometers

Alphabet is facing growing scrutiny as competition in the AI race intensifies. Reports of a Nobel Prize-winning researcher leaving Google for Anthropic have fueled concerns about talent retention, while the company continues to pour billions into AI infrastructure and data centers. Despite aggressive investment, rising capital expenditures have weighed on cash flow, and Alphabet's stock has slipped in recent weeks.


Alphabet Stock Down 11% In Just Five Weeks 

The UK’s Competition and Markets Authority (CMA) has issued a landmark order forcing Google to overhaul its search ranking practices. Following widespread complaints from British businesses that the current algorithm is opaque and unpredictable, Google must now implement "objective and non-discriminatory" criteria for organic results and AI Overviews.

UK Orders Google to Explain Search Rankings; Business Say Current System Lacks Clarity

Google has launched Android 17, bringing a range of new artificial intelligence features, multitasking tools and security improvements to Pixel devices. The update arrives alongside Wear OS 7 and the latest Pixel Drop, which introduces new Gemini-powered capabilities including AI-generated music, video editing tools and enhanced translation features.&nbsp;The release is significant because it shows how aggressively Google is integrating AI into its products at a time when major technology companies are competing to make artificial intelligence a central part of everyday devices.&nbsp;<h2>Gemini becomes more powerful across Android</h2>Artificial intelligence is at the heart of Android 17. Google is expanding the role of its Gemini platform with support for newer AI models such as Gemini Omni, Lyria 3 and AudioLM. Gemini Omni will allow users to edit videos through conversational commands. Instead of manually navigating editing tools, users can make changes by describing what they want. Meanwhile, Lyria 3 introduces AI-generated music creation. Users can create original music tracks from text prompts and even images directly through Gemini-supported experiences. Pixel 10a devices will also receive upgraded speech-to-speech translation powered by AudioLM, aiming to make multilingual conversations more natural.<h2>Android 17 introduces new multitasking features</h2>Beyond AI, Android 17 includes one of its biggest multitasking upgrades in years. A new "bubble bar" places recently used apps in floating bubbles at the bottom of the screen. Users can move between apps more quickly and manage multiple tasks with fewer taps. Google says the feature is designed to improve workflows for people who regularly switch between messaging, browsing, video calls and productivity apps. The update also introduces a screen-and-selfie recording feature. This allows users to record their screen and front-facing camera simultaneously, making it easier to create reaction videos, tutorials and social media content for platforms such as TikTok, Instagram and YouTube.<h2>Pixel devices gain new communication and safety tools</h2>Google is also introducing several new communication features. Users can now record personalised outgoing audio messages when they cannot answer calls. The "Take a Message" feature is expanding to more countries and regions. Safety tools are also receiving attention. The latest Pixel Watch update can automatically contact emergency services and selected contacts if it detects a car crash, a serious fall or a lack of pulse. These additions reflect Google's broader push to make wearable devices more useful beyond fitness tracking.AirDrop compatibility and security improvementsOne of the more surprising additions is expanded compatibility between Android Quick Share and Apple's AirDrop ecosystem on selected older Pixel devices, including the Pixel 8a and Pixel 9a.<h2>The update also strengthens security.</h2>New tools include a "Mark as Lost" option in Find Hub, improved Live Threat Detection and additional protections against scams and digital threats. Parents are also receiving more control options, including content filtering and screen-time management features that can be protected with a PIN.&nbsp; Wear OS 7 gets ready for the AI eraGoogle's smartwatch platform is also receiving a significant upgrade. Wear OS 7 introduces better integration with future hardware products, including AI-powered glasses and connected audio devices. Later this year, Google plans to add more Gemini Intelligence features to Wear OS. These include AI-generated widgets created from simple descriptions and personalised experiences built using information from Google apps and conversations. The company says battery life improvements of up to 10 per cent are also part of the update.&nbsp;<h2>Android 17 is more than a routine software update.</h2>The release highlights how smartphone companies are shifting from adding isolated AI features to building AI directly into the operating system itself. While competitors are preparing their own AI upgrades, Google is using Android 17 to demonstrate how AI can assist with communication, creativity, productivity and safety in everyday use. For users, the update offers a glimpse of how smartphones and smartwatches may evolve as AI becomes a standard part of the digital experience.&nbsp;&nbsp;

Google has launched Android 17 and Wear OS 7, bringing Gemini-powered AI tools, AI-generated music, video editing, improved multitasking and stronger security features. The update reflects Google's growing effort to place AI at the centre of the Android experience.


Google has launched Android 17, bringing a range of new artificial intelligence features, multitasking tools and security improvements to Pixel devices. The update arrives alongside Wear OS 7 and the latest Pixel Drop, which introduces new Gemini-powered capabilities including AI-generated music, video editing tools and enhanced translation features. The release is significant because it shows how aggressively Google is integrating AI into its products at a time when major technology companies are competing to make artificial intelligence a central part of everyday devices. Gemini becomes more powerful across Android Artificial intelligence is at the heart of Android 17. Google is expanding the role of its Gemini platform with support for newer AI models such as Gemini Omni, Lyria 3 and AudioLM. Gemini Omni will allow users to edit videos through conversational commands. Instead of manually navigating editing tools, users can make changes by describing what they want. Meanwhile, Lyria 3 introduces AI-generated music creation. Users can create original music tracks from text prompts and even images directly through Gemini-supported experiences. Pixel 10a devices will also receive upgraded speech-to-speech translation powered by AudioLM, aiming to make multilingual conversations more natural. Android 17 introduces new multitasking features Beyond AI, Android 17 includes one of its biggest multitasking upgrades in years. A new "bubble bar" places recently used apps in floating bubbles at the bottom of the screen. Users can move between apps more quickly and manage multiple tasks with fewer taps. Google says the feature is designed to improve workflows for people who regularly switch between messaging, browsing, video calls and productivity apps. The update also introduces a screen-and-selfie recording feature. This allows users to record their screen and front-facing camera simultaneously, making it easier to create reaction videos, tutorials and social media content for platforms such as TikTok, Instagram and YouTube. Pixel devices gain new communication and safety tools Google is also introducing several new communication features. Users can now record personalised outgoing audio messages when they cannot answer calls. The "Take a Message" feature is expanding to more countries and regions. Safety tools are also receiving attention. The latest Pixel Watch update can automatically contact emergency services and selected contacts if it detects a car crash, a serious fall or a lack of pulse. These additions reflect Google's broader push to make wearable devices more useful beyond fitness tracking. AirDrop compatibility and security improvements One of the more surprising additions is expanded compatibility between Android Quick Share and Apple's AirDrop ecosystem on selected older Pixel devices, including the Pixel 8a and Pixel 9a. The update also strengthens security. New tools include a "Mark as Lost" option in Find Hub, improved Live Threat Detection and additional protections against scams and digital threats. Parents are also receiving more control options, including content filtering and screen-time management features that can be protected with a PIN. Wear OS 7 gets ready for the AI era Google's smartwatch platform is also receiving a significant upgrade. Wear OS 7 introduces better integration with future hardware products, including AI-powered glasses and connected audio devices. Later this year, Google plans to add more Gemini Intelligence features to Wear OS. These include AI-generated widgets created from simple descriptions and personalised experiences built using information from Google apps and conversations. The company says battery life improvements of up to 10 per cent are also part of the update. Android 17 is more than a routine software update. The release highlights how smartphone companies are shifting from adding isolated AI features to building AI directly into the operating system itself. While competitors are preparing their own AI upgrades, Google is using Android 17 to demonstrate how AI can assist with communication, creativity, productivity and safety in everyday use. For users, the update offers a glimpse of how smartphones and smartwatches may evolve as AI becomes a standard part of the digital experience.

Google has launched Android 17 and Wear OS 7, bringing Gemini-powered AI tools, AI-generated music, video editing, improved multitasking and stronger security features. The update reflects Google's growing effort to place AI at the centre of the Android experience.

Android 17 arrives with Gemini-powered upgrades, new multitasking tools and AirDrop compatibility

Google has filed a lawsuit against a Chinese cybercrime network that it says used the company's Gemini artificial intelligence platform to carry out large-scale online scams targeting hundreds of thousands of people. The technology giant alleges that the group, known as Outsider Enterprise, used AI tools to generate fake websites, fraudulent messages and phishing campaigns that impersonated trusted brands and government services. Google says the scale of the operation highlights how artificial intelligence is changing the fraud landscape and making scams easier to produce.&nbsp;The case has drawn attention because it combines two major concerns: the rapid rise of AI tools and the growing threat of cybercrime.<h2>Google claims AI was used to create thousands of fake websites</h2>According to Google's lawsuit, the network used Gemini to help build hundreds of fake websites designed to resemble legitimate organisations. The sites allegedly copied services and brands including Google, YouTube, the US Postal Service and New York's E-ZPass toll payment system. Google says the operation relied on AI-generated content to make scams appear more convincing and to rapidly produce fraudulent websites at scale. They claims the network created 131 software kits that enabled criminals to build thousands of fake webpages and online scams with limited technical effort.<h2>Millions of scam messages sent in just weeks</h2>The figures outlined in the lawsuit illustrate the scale of the alleged operation. Google said that during a two-week period in May, the group sent around 2.5 million messages to Android users. Those messages directed victims to approximately 9,000 fake websites and more than one million fraudulent internet addresses connected to the network. The company estimates that hundreds of thousands of people were affected, with most victims located in the United States. Google said the financial damage runs into millions of dollars, although the exact amount has not been determined.&nbsp;Google, FBI and telecom firms join forcesIn what Google described as its first coordinated effort of this kind, the company is working alongside the Federal Bureau of Investigation and major wireless providers. The effort includes cooperation with telecommunications companies such as AT&amp;T, T-Mobile and Verizon. Google has asked a federal court in New York for a restraining order that would allow authorities and technology companies to further disrupt the network's activities. Halimah DeLaine Prado, Google's general counsel, said the case reflects the scale of the impact linked to the alleged scam operation.<h2>Why AI-powered scams are becoming a growing concern</h2>The case comes as governments, technology firms and law enforcement agencies warn that artificial intelligence is making online fraud more sophisticated. According to the FBI, cybercriminals stole nearly $21 billion from Americans last year. Of that amount, approximately $893 million was linked to AI-related fraud schemes. Officials say AI can help criminals generate realistic messages, fake websites and convincing impersonations far more quickly than traditional methods. Brett Leatherman, assistant director of the FBI's Cyber Division, said criminals are increasingly using AI to make fraud more persuasive and harder to detect.&nbsp;The lawsuit could become an important test case for how technology companies respond when their AI systems are allegedly misused by criminal networks. While Google argues that AI offers major benefits for businesses and consumers, the company is also signalling that it intends to take legal action against groups that exploit those tools for fraud. The case underscores a broader challenge facing the technology industry: as AI becomes more powerful, preventing misuse is becoming just as important as developing new capabilities.

Google has sued a Chinese cybercrime network accused of using Gemini AI to create thousands of fake websites and send millions of scam messages. The company is working with the FBI and telecom providers as concerns grow over the rise of AI-powered fraud.


Google has filed a lawsuit against a Chinese cybercrime network that it says used the company's Gemini artificial intelligence platform to carry out large-scale online scams targeting hundreds of thousands of people. The technology giant alleges that the group, known as Outsider Enterprise, used AI tools to generate fake websites, fraudulent messages and phishing campaigns that impersonated trusted brands and government services. Google says the scale of the operation highlights how artificial intelligence is changing the fraud landscape and making scams easier to produce. The case has drawn attention because it combines two major concerns: the rapid rise of AI tools and the growing threat of cybercrime. Google claims AI was used to create thousands of fake websites According to Google's lawsuit, the network used Gemini to help build hundreds of fake websites designed to resemble legitimate organisations. The sites allegedly copied services and brands including Google, YouTube, the US Postal Service and New York's E-ZPass toll payment system. Google says the operation relied on AI-generated content to make scams appear more convincing and to rapidly produce fraudulent websites at scale. They claims the network created 131 software kits that enabled criminals to build thousands of fake webpages and online scams with limited technical effort. Millions of scam messages sent in just weeks The figures outlined in the lawsuit illustrate the scale of the alleged operation. Google said that during a two-week period in May, the group sent around 2.5 million messages to Android users. Those messages directed victims to approximately 9,000 fake websites and more than one million fraudulent internet addresses connected to the network. The company estimates that hundreds of thousands of people were affected, with most victims located in the United States. Google said the financial damage runs into millions of dollars, although the exact amount has not been determined. Google, FBI and telecom firms join forces In what Google described as its first coordinated effort of this kind, the company is working alongside the Federal Bureau of Investigation and major wireless providers. The effort includes cooperation with telecommunications companies such as AT&T, T-Mobile and Verizon. Google has asked a federal court in New York for a restraining order that would allow authorities and technology companies to further disrupt the network's activities. Halimah DeLaine Prado, Google's general counsel, said the case reflects the scale of the impact linked to the alleged scam operation. Why AI-powered scams are becoming a growing concern The case comes as governments, technology firms and law enforcement agencies warn that artificial intelligence is making online fraud more sophisticated. According to the FBI, cybercriminals stole nearly $21 billion from Americans last year. Of that amount, approximately $893 million was linked to AI-related fraud schemes. Officials say AI can help criminals generate realistic messages, fake websites and convincing impersonations far more quickly than traditional methods. Brett Leatherman, assistant director of the FBI's Cyber Division, said criminals are increasingly using AI to make fraud more persuasive and harder to detect. The lawsuit could become an important test case for how technology companies respond when their AI systems are allegedly misused by criminal networks. While Google argues that AI offers major benefits for businesses and consumers, the company is also signalling that it intends to take legal action against groups that exploit those tools for fraud. The case underscores a broader challenge facing the technology industry: as AI becomes more powerful, preventing misuse is becoming just as important as developing new capabilities.

Google has sued a Chinese cybercrime network accused of using Gemini AI to create thousands of fake websites and send millions of scam messages. The company is working with the FBI and telecom providers as concerns grow over the rise of AI-powered fraud.

'2.5 million messages, 9,000 fake websites': Google says Chinese cybercrime group used Gemini AI to target hundreds of thousands in scam campaign

When people think about artificial intelligence, they often imagine software engineers, data scientists and computer programmers. But according to Google and other technology giants, the future of AI depends just as much on plumbers, electricians, welders and construction workers.Google has announced a $50 million investment in skilled-trades training programmes across the United States. The initiative aims to prepare workers for jobs that are becoming increasingly important as companies race to build the infrastructure needed to support artificial intelligence.The announcement comes just days after Meta unveiled a $250 million programme focused on training workers for data centre construction jobs. Together, the investments highlight a growing reality: the AI boom is creating demand far beyond Silicon Valley.&nbsp;

<blockquote class="twitter-tweet">America’s digital economy relies on our physical infrastructure and the electricians, pipefitters, welders, manufacturing workers &amp; more who build and maintain it. Today, we’re making an additional <a href="https://x.com/Googleorg?ref_src=twsrc%5Etfw">@googleorg</a> commitment to help 300K American workers prepare for these in-demand…&mdash; Sundar Pichai (@sundarpichai) <a href="https://x.com/sundarpichai/status/2065110608090161375?ref_src=twsrc%5Etfw">June 11, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>Why AI companies suddenly need blue-collar workers</h2>The rapid growth of artificial intelligence has triggered a global race to build data centres, power facilities and digital infrastructure. Every advanced AI model requires enormous computing power. Behind every chatbot, AI assistant or image generator sits a vast network of servers operating inside large data centres.Building those facilities requires much more than software. Electricians are needed to install and maintain power systems. Plumbers and pipe fitters help build cooling systems that prevent servers from overheating. Welders and construction workers are required to construct the buildings themselves.Without these workers, many AI projects simply cannot move forward.As Google CEO Sundar Pichai noted while announcing the programme, skilled trades will play a critical role in building the infrastructure needed for the next generation of technology.A worker shortage is becoming a major problem. The construction industry is already struggling to find enough workers.According to the Associated Builders and Contractors (ABC), the United States construction sector will need around 349,000 additional workers this year to meet demand. That demand is being fuelled by several trends at once, including AI data centre construction, energy projects, semiconductor manufacturing and broader infrastructure development. Industry experts say the shortage has become one of the biggest obstacles to future growth."The constraint on growth isn't hiring more engineers. It's building physical infrastructure," Tulane University business professor Rob Lalka said while discussing the issue. His comments highlight an important shift in the AI conversation. While much attention remains focused on software development, the physical systems that power AI are becoming equally important.<h2>What jobs will Google's programme support?</h2>Google says the funding will support training programmes focused on occupations critical to AI and energy infrastructure. These include electricians, plumbers, pipe fitters, welders, construction workers and other skilled trades. Some partnerships with training organisations are already underway, according to the company. The goal is to help create a larger workforce capable of supporting the growing number of data centres and energy projects being developed across the country.For many workers, these jobs offer an alternative pathway into the technology economy without requiring a university degree in computer science.<h2>Why data centres are driving demand</h2>The AI industry is currently investing hundreds of billions of dollars in new infrastructure. Companies including Google, Meta, Microsoft, Amazon, Oracle and OpenAI are expanding data centre capacity to support increasingly powerful AI systems. Modern AI models require huge amounts of computing power for both training and daily operations. That means companies must continue building new facilities equipped with advanced chips, networking equipment and cooling systems.Each new data centre creates demand for skilled trades workers long before software engineers begin using the infrastructure. This is one reason why technology companies are becoming more directly involved in workforce training programmes.<h2>Meta, Microsoft and Oracle are making similar moves</h2>Google is not alone. Meta recently announced a $250 million programme aimed at preparing workers for data centre construction projects. Earlier this year, Microsoft and Oracle also expanded workforce initiatives focused on supporting AI infrastructure growth. The growing number of programmes suggests that labour shortages are becoming a concern across the technology sector. Companies appear increasingly aware that future AI growth may depend not only on breakthroughs in software but also on having enough people available to build and maintain physical infrastructure.<h2>The AI boom is creating new opportunities</h2>The rise of artificial intelligence is often discussed in terms of automation and job displacement. However, the latest investments from Google and other technology companies highlight another side of the story. Building AI systems is creating demand for thousands of skilled workers across construction, energy and infrastructure sectors. For electricians, plumbers, welders and construction professionals, the AI boom may provide new career opportunities that did not exist just a few years ago. As technology companies continue investing in data centres and power infrastructure, these workers could become some of the most important people behind the next generation of artificial intelligence. The message from Google and its rivals is becoming increasingly clear: AI may run on software, but it is built by people working far beyond the walls of Silicon Valley.

Google is investing $50 million to train electricians, plumbers, welders and construction workers as AI fuels a massive data centre boom. The future of artificial intelligence depends on skilled workers building the infrastructure behind it.

When people think about artificial intelligence, they often imagine software engineers, data scientists and computer programmers. But according to Google and other technology giants, the future of AI depends just as much on plumbers, electricians, welders and construction workers. Google has announced a $50 million investment in skilled-trades training programmes across the United States. The initiative aims to prepare workers for jobs that are becoming increasingly important as companies race to build the infrastructure needed to support artificial intelligence. The announcement comes just days after Meta unveiled a $250 million programme focused on training workers for data centre construction jobs. Together, the investments highlight a growing reality: the AI boom is creating demand far beyond Silicon Valley.

Google is investing $50 million to train electricians, plumbers, welders and construction workers as AI fuels a massive data centre boom. The future of artificial intelligence depends on skilled workers building the infrastructure behind it.

Google's latest AI investment isn't in software, it's in construction workers: Here's why it's investing in blue-collar workers

Google-backed biotech firm Verily is seeking federal approval in the United States to release millions of lab-grown mosquitoes as part of a disease-control project. The plan aims to reduce populations of harmful mosquitoes by releasing sterilised male insects, but it has also sparked concerns over environmental risks and public safety. The proposal is now under federal review as debate grows around the large-scale mosquito release programme.


Google Seeks Federal Permit to Unleash Massive Mosquito Swarm 

Google’s parent company Alphabet is planning a bold and unusual experiment in the US. Under its “Debug” program, the company has asked federal regulators for permission to release up to 32 million sterilized mosquitoes across California and Florida. The goal is not to spread disease, but to reduce mosquito-borne illnesses like dengue and malaria by controlling their population. While it sounds alarming, scientists say it could be a breakthrough in public health.


Google’s Mosquito Experiment: Millions of Bugs to Be Released Across US in Bold Disease Control Plan

Google has unveiled Gemma 4 12B, the latest version of its open AI model family, bringing advanced reasoning, vision and audio capabilities to devices that can run locally without depending entirely on cloud infrastructure.According to Google, the new model delivers performance close to much larger AI systems while requiring significantly less memory. The company says Gemma 4 12B can run locally on devices equipped with just 16GB of VRAM, making advanced AI more accessible to developers, researchers and businesses. The launch highlights a growing trend across the AI industry: bringing powerful AI models directly to personal computers instead of relying solely on remote data centres.

<blockquote class="twitter-tweet">Today we’re introducing Gemma 4 12B — our latest open model that brings advanced agentic reasoning, vision and audio directly to your laptop. It delivers performance nearing our larger Gemma models with a much smaller total memory footprint, while being small enough to run… <a href="https://t.co/M5xw74tEAW">pic.twitter.com/M5xw74tEAW</a>&mdash; Google (@Google) <a href="https://x.com/Google/status/2062203526588088452?ref_src=twsrc%5Etfw">June 3, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>What is Gemma 4 12B?</h2>Gemma is Google's family of open AI models built using technology and research from its Gemini programme. The new Gemma 4 12B model contains 12 billion parameters and has been designed to handle multiple types of information, including text, images and audio. Unlike traditional AI systems that focus only on text, Gemma 4 12B can understand visual content, process audio inputs and perform advanced reasoning tasks. This makes it suitable for a wider range of applications, from software development and content creation to research and automation. Google says the model is available under the Apache 2.0 licence, allowing developers and organisations to use, modify and deploy it with relatively few restrictions.<h2>Why is this launch important?</h2>One of the biggest challenges in artificial intelligence today is the cost of running powerful models. Many advanced AI systems require expensive cloud infrastructure and high-performance servers. That can create barriers for smaller companies, independent developers and researchers. Google says Gemma 4 12B addresses this challenge by offering strong performance while remaining compact enough to run on consumer hardware. The company claims users can access advanced AI capabilities on their own machines without constantly sending requests to cloud servers.This approach can provide several advantages:Lower operating costs Better privacy Faster response times Reduced internet dependence Greater control over dataIndustry experts increasingly see local AI as one of the next major shifts in computing. A new architecture removes traditional limitationsOne of the most significant technical changes in Gemma 4 12B is its new unified architecture. Traditionally, multimodal AI systems use separate components known as encoders to process images, audio and text before combining the information. Google says Gemma 4 12B removes the need for separate multimodal encoders. Instead, the model processes different types of information through a unified architecture. According to the company, this helps improve efficiency while reducing memory requirements and computational overhead.The result is a model that can deliver advanced multimodal capabilities while remaining small enough to run locally on modern hardware.<h2>The growing race for local AI</h2>Google's announcement comes as technology companies increasingly compete to bring AI closer to users. Microsoft recently introduced AI-focused hardware such as the Surface RTX Spark Dev Box and Surface Laptop Ultra. Apple has expanded on-device AI through Apple Intelligence, while companies including Perplexity and Nvidia are investing heavily in local AI computing.The industry's focus is shifting because running every AI request through the cloud is becoming increasingly expensive. Local AI offers a way to reduce infrastructure costs while improving privacy and responsiveness. Gemma 4 12B positions Google as an important player in this emerging market.<h2>Who could use Gemma 4 12B?</h2>The model is expected to appeal to several groups. Developers Software developers can use the model to build AI-powered applications without relying entirely on external APIs.Researchers&nbsp; Researchers can experiment with advanced AI systems locally while maintaining greater control over their data.Businesses Companies working with sensitive information may prefer local AI processing for privacy and compliance reasons.AI enthusiasts Because the model is openly available, hobbyists and independent developers can also explore its capabilities without significant infrastructure investments.<h2>What does this mean for the future of AI?</h2>The release of Gemma 4 12B reflects a broader shift taking place across the industry. For years, AI development focused primarily on building larger and larger models in massive data centres. Increasingly, however, companies are trying to make powerful AI systems smaller, more efficient and easier to run on everyday devices. Google's latest model suggests that future AI progress may not only be about scale. Efficiency, accessibility and local deployment are becoming equally important.If models like Gemma 4 12B continue to improve, users may soon be able to run advanced AI assistants, coding tools and productivity systems directly on their laptops without relying heavily on cloud services. For developers and businesses, that could open the door to a new generation of AI applications that are faster, more private and less expensive to operate.

Google has unveiled Gemma 4 12B, the latest version of its open AI model family, bringing advanced reasoning, vision and audio capabilities to devices that can run locally without depending entirely on cloud infrastructure.


Google has unveiled Gemma 4 12B, the latest version of its open AI model family, bringing advanced reasoning, vision and audio capabilities to devices that can run locally without depending entirely on cloud infrastructure. According to Google, the new model delivers performance close to much larger AI systems while requiring significantly less memory. The company says Gemma 4 12B can run locally on devices equipped with just 16GB of VRAM, making advanced AI more accessible to developers, researchers and businesses. The launch highlights a growing trend across the AI industry: bringing powerful AI models directly to personal computers instead of relying solely on remote data centres.

Google has unveiled Gemma 4 12B, the latest version of its open AI model family, bringing advanced reasoning, vision and audio capabilities to devices that can run locally without depending entirely on cloud infrastructure.

Google launches Gemma 4 12B: This powerful AI model from Google can run on your laptop

Global tech markets are buzzing after reports emerged of a potential massive capital move linked to Google, centered around an 80-billion-dollar AI infrastructure push. In this report of news in numbers, we break down how the funds are expected to flow and what it could mean for the global AI landscape. Take a look.


Google’s Big AI Bet: Can It Win The Future Of Artificial Intelligence?

Google is backing a new initiative to combat dengue as environmental authorities review a controversial proposal to release specially engineered mosquitoes aimed at reducing disease spread. The move has sparked debate over public health benefits, environmental risks, and the future of biotech-driven mosquito control. EPS is currently evaluating the request as concerns over rising dengue cases continue to grow worldwide.


Google Backs New Dengue Fight as EPS Reviews Controversial Mosquito Release Plan

A software engineer at Google has been charged by the U.S. Justice Department for allegedly using confidential company data to rig prediction market bets on Polymarket. Prosecutors say Michele Spagnuolo earned nearly $1.2 million by placing bets linked to Google’s unreleased “most-searched” trends.


Google Engineer Accused of Using Confidential Data for Betting

Google’s AI Overview has become the laughing stock over its inability to identify the number of letters in simple words, often giving the wrong number. Ask it "how many Ls are there in Google", and it says 2. Even when you ask it about its own AI tool - Gemini - it gets it wrong. When I asked the new search tool on Google, "How many Ms are there in Gemini?", it responded - 2. Even when I ask, how many times an alphabet appears in a word that doesn't even use the letter, it gives me a number. "How many Ps are there in Google?" I asked. It replied with - "There is only 1 ‘p' in the word "Google"." People are sharing similar screenshots of the new search misspelling words. With AI already becoming a topic of resentment across industries, when Google releases a product that fails to get right what a primary school child can tell, it is itself providing fodder for mockery.&nbsp;<figure class="image"><img src="https://cdn1.wionews.com/prod/wion/images/2026/20260528/image-1779968809662.png"></figure><figure class="image"><img src="https://cdn1.wionews.com/prod/wion/images/2026/20260528/image-1779968819865.png"></figure>&nbsp;<figure class="image"><img src="https://cdn1.wionews.com/prod/wion/images/2026/20260528/image-1779968826681.png"></figure>&nbsp;Other spelling mistakes it made include the word journalism, which it spelt as "j-o-u-r-n-a-d-i-s-m". It also goes on to claim the word contains two "Ds." It also gets the spelling of American President Donald Trump wrong, writing “t-r-p-u-m”. In one instance where it said there were 2 Ls in Google, it was actually relying on an article from 2009 about Google’s 11th birthday doodle «Goog11e». Google has acknowledged the problem which has been flagged by users in the past as well. The company says counting letters within words remains a known challenge for large language models, or LLMs.Also Read: <a href="https://www.wionews.com/trending/claude-and-chatgpt-say-there-are-2-ls-in-google-then-explain-what-went-wrong-1779957610411">'My bad! Good catch': Claude and ChatGPT say there are 2 Ls in Google. Then explain what went wrong</a><h2>Why can't AI spell correctly? Here is what Gemini says&nbsp;</h2>When you ask Gemini the reason for AI tools misspelling words, it says, "Rather than reading text like a human, these models dissect language into tokens—chunks of characters that can represent prefixes, syllables, or full words." It adds, "Because the model perceives ‘apple’ as a single ID (e.g., Token #402) rather than the sequence A-P-P-L-E, it lacks an inherent ‘eye' for individual characters." It acknowledged in the end - “An AI can write a brilliant essay on Shakespeare but may still stumble if you ask it to count the number of 'n's' in the word 'banana'.”<h2>Disregard and Ignore in Google AI Overview</h2>Users flagged another problem with Google AI Overview after it was launched, where it was treating certain words as a "command" and not actually answering the query about it. Typically, when you write "disregard" in a Google search, it would define the word and give contextual meaning. However, this time it replied - "Understood. Let me know whenever you have a new prompt or question! Similar things happened with words like "ignore" and "forget". &nbsp;

Google AI Overview is getting spellings wrong, a problem Google has acknowledged. Even when you ask the tool the reason, it tells you it is because of how it processes information. It is adding letters to words, and even inventing entirely new spellings.

Google’s AI Overview has become the laughing stock over its inability to identify the number of letters in simple words, often giving the wrong number. Ask it "how many Ls are there in Google", and it says 2. Even when you ask it about its own AI tool - Gemini - it gets it wrong. When I asked the new search tool on Google, "How many Ms are there in Gemini?", it responded - 2. Even when I ask, how many times an alphabet appears in a word that doesn't even use the letter, it gives me a number. "How many Ps are there in Google?" I asked. It replied with - "There is only 1 ‘p' in the word "Google"." People are sharing similar screenshots of the new search misspelling words. With AI already becoming a topic of resentment across industries, when Google releases a product that fails to get right what a primary school child can tell, it is itself providing fodder for mockery. Other spelling mistakes it made include the word journalism, which it spelt as "j-o-u-r-n-a-d-i-s-m". It also goes on to claim the word contains two "Ds." It also gets the spelling of American President Donald Trump wrong, writing “t-r-p-u-m”. In one instance where it said there were 2 Ls in Google, it was actually relying on an article from 2009 about Google’s 11th birthday doodle «Goog11e». Google has acknowledged the problem which has been flagged by users in the past as well. The company says counting letters within words remains a known challenge for large language models, or LLMs. Also Read: 'My bad! Good catch': Claude and ChatGPT say there are 2 Ls in Google. Then explain what went wrong Why can't AI spell correctly? Here is what Gemini says When you ask Gemini the reason for AI tools misspelling words, it says, "Rather than reading text like a human, these models dissect language into tokens—chunks of characters that can represent prefixes, syllables, or full words." It adds, "Because the model perceives ‘apple’ as a single ID (e.g., Token #402) rather than the sequence A-P-P-L-E, it lacks an inherent ‘eye' for individual characters." It acknowledged in the end - “An AI can write a brilliant essay on Shakespeare but may still stumble if you ask it to count the number of 'n's' in the word 'banana'.” Disregard and Ignore in Google AI Overview Users flagged another problem with Google AI Overview after it was launched, where it was treating certain words as a "command" and not actually answering the query about it. Typically, when you write "disregard" in a Google search, it would define the word and give contextual meaning. However, this time it replied - "Understood. Let me know whenever you have a new prompt or question! Similar things happened with words like "ignore" and "forget".

Google AI Overview is getting spellings wrong, a problem Google has acknowledged. Even when you ask the tool the reason, it tells you it is because of how it processes information. It is adding letters to words, and even inventing entirely new spellings.

After 'Disregard', Google AI Overview has a spelling problem - 'P' in Google and 2 'M' in Gemini

In his strongest warning yet on artificial intelligence, Pope Leo has urged governments worldwide to urgently regulate AI and “disarm” autonomous weapons systems. He warned that rapidly advancing military AI technologies may already be moving beyond meaningful human control.

From AI-driven target generation systems used in modern warfare to the escalating race between governments and private tech companies, the Vatican says the world may be entering a deeply dangerous new era where decision-making in war could shift away from humans.

Google's Dire Warning On AI: Vance Terms Pope's AI Warning As 'Profound' 

A proposed Canadian online safety law has triggered a growing confrontation between the government and major technology firms, with Apple, Google, Alphabet and encrypted messaging platform Signal warning that the legislation could weaken digital security and undermine user privacy. Bill C-22 which was introduced by Prime Minister Mark Carney’s Liberal government, is currently being debated in Canada’s parliament. The legislation aims to modernise how law enforcement agencies investigate cybercrime, terrorism and national security threats by expanding access to digital communications and user data. It expand the powers of Canadian law enforcement agencies to access digital information during cyber and national security investigations.&nbsp;At the centre of the dispute is encryption, the technology that protects messages, files and cloud data from unauthorised access. End-to-end encryption ensures that only the sender and recipient can read the data, meaning even technology companies themselves cannot access it. Canadian authorities insist the bill is ‘encryption neutral’ and necessary to investigate serious crimes and national security threats more efficiently. However, tech giants argue the legislation could effectively compel firms to create covert ‘backdoors’ into their systems. The firms are now seeking to include judicial oversight and stronger protections for encryption.<h2>What Bill C-22 Would Allow</h2>The bill would require ‘core’ telecommunications and digital service providers to build technical capabilities enabling law enforcement agencies to obtain access to information. It would also mandate the retention of user metadata for up to one year.&nbsp;ALSO READ: <a href="https://www.wionews.com/trending/why-are-thousands-of-young-chinese-applying-for-shepherd-jobs-viral-ad-exposes-labour-market-strains-1779884435095">Why are thousands of young Chinese applying for shepherd jobs? Viral ad exposes labour market strains</a>&nbsp;One of the most contentious provisions concerns ministerial powers. Under Bill C-22, the federal government could issue orders to companies requiring compliance measures without prior judicial approval. Technology firms argue this creates the possibility of secret orders to build a backdoor into their services or ​devices without disclosing that backdoor to users or the public.&nbsp;Jeanette Patell, Google Canada’s director of government affairs and public policy, told the House of Commons public safety committee that the proposed powers “could give the government the power to secretly force companies to redesign products, to include invasive surveillance capabilities, and to do so without sufficient safeguards or oversight”.She added that “ministerial orders are not only alarming, but also unnecessary”, arguing Canada already possesses a transparent court-supervised system for lawful access requests.<h2>Why Apple and Google Say Encryption Is at Risk</h2>Apple and Google maintain that no secure method exists to create access points solely for governments while preventing exploitation by malicious actors. “Speaking as an engineer, we do not know of a way to deploy encryption technology that provides access only for the good guys without creating new ways for the bad guys to break in,” Apple’s senior director of user privacy and child safety, Erik Neuenschwander, told MPs. “In other words, when you build a backdoor into an encrypted device, anyone can walk through.”&nbsp;ALSO READ: <a href="https://www.wionews.com/world/oil-spikes-airlines-stumble-ai-stocks-soar-the-sectors-gaining-and-losing-most-from-the-iran-war-1779877830509">Oil spikes, airlines stumble, AI stocks soar: The sectors gaining and losing most from the Iran war</a>&nbsp;Neuenschwander pointed to the 2024 Salt Typhoon cyberattack on US government systems, which allegedly exploited lawful access infrastructure. “That law was narrower than Bill C-22,” he warned. “So imagine what could happen if more companies were required to create these vulnerabilities.” Google similarly warned that the legislation “goes well beyond lawful access regimes in other G7 democracies” and risks undermining user trust and privacy protections.<h2>Signal Threatens to Leave Canada</h2>Signal, widely regarded as one of the world’s most secure messaging services, has gone further. Udbhav Tiwari, the company’s vice-president of strategy and global affairs, told The Globe and Mail that Signal “would rather pull out of the country than be compelled to compromise on the privacy promises we have made to our users”. The company fears the legislation could ultimately force encrypted services either to weaken security protections or withdraw entirely from the Canadian market.&nbsp;Apple has already faced a similar confrontation in Britain. Last year, after receiving a secret government demand for access to encrypted cloud-stored data, the company withdrew certain encrypted cloud backup features from the UK market rather than alter its security architecture.&nbsp;ALSO READ: <a href="https://www.wionews.com/science/ai-beats-human-forecasters-in-tournament-predicting-outcomes-for-30-tech-ventures-1779875686948">AI beats human forecasters in tournament predicting fate of 30 technology startups</a><h2>Part of a Wider Global Debate</h2>Canada’s bill mirrors measures introduced elsewhere. Australia enacted laws compelling technology firms to assist authorities in accessing encrypted communications, while Britain’s Investigatory Powers framework has repeatedly drawn criticism from privacy advocates and technology companies.&nbsp;The controversy has now crossed into the United States. US House Chairs Jim Jordan and Brian Mast sent an official letter to Canada’s Minister of Public Safety expressing severe concerns over Canada's proposed cybersecurity legislation, Bill C-22. The letter, sent by the House Judiciary and Foreign Affairs committees, warned that Bill C-22 could “drastically expand Canada’s surveillance and data access powers” and create “significant cross-border risks to the security and data privacy of Americans”.&nbsp;The clash over Bill C-22 ultimately reflects a broader international struggle: how democracies balance national security and criminal investigations with the integrity of digital privacy and encrypted communications. For governments, encrypted platforms can obstruct investigations. For technology companies, any deliberate vulnerability risks becoming a gateway not only for law enforcement, but also for hackers, cybercriminals and hostile states.&nbsp;

The legislation aims to modernise how law enforcement agencies investigate cybercrime, terrorism and national security threats by expanding access to digital communications and user data.

A proposed Canadian online safety law has triggered a growing confrontation between the government and major technology firms, with Apple, Google, Alphabet and encrypted messaging platform Signal warning that the legislation could weaken digital security and undermine user privacy. Bill C-22 which was introduced by Prime Minister Mark Carney’s Liberal government, is currently being debated in Canada’s parliament. The legislation aims to modernise how law enforcement agencies investigate cybercrime, terrorism and national security threats by expanding access to digital communications and user data. It expand the powers of Canadian law enforcement agencies to access digital information during cyber and national security investigations. At the centre of the dispute is encryption, the technology that protects messages, files and cloud data from unauthorised access. End-to-end encryption ensures that only the sender and recipient can read the data, meaning even technology companies themselves cannot access it. Canadian authorities insist the bill is ‘encryption neutral’ and necessary to investigate serious crimes and national security threats more efficiently. However, tech giants argue the legislation could effectively compel firms to create covert ‘backdoors’ into their systems. The firms are now seeking to include judicial oversight and stronger protections for encryption. What Bill C-22 Would Allow The bill would require ‘core’ telecommunications and digital service providers to build technical capabilities enabling law enforcement agencies to obtain access to information. It would also mandate the retention of user metadata for up to one year. ALSO READ: Why are thousands of young Chinese applying for shepherd jobs? Viral ad exposes labour market strains One of the most contentious provisions concerns ministerial powers. Under Bill C-22, the federal government could issue orders to companies requiring compliance measures without prior judicial approval. Technology firms argue this creates the possibility of secret orders to build a backdoor into their services or devices without disclosing that backdoor to users or the public. Jeanette Patell, Google Canada’s director of government affairs and public policy, told the House of Commons public safety committee that the proposed powers “could give the government the power to secretly force companies to redesign products, to include invasive surveillance capabilities, and to do so without sufficient safeguards or oversight”. She added that “ministerial orders are not only alarming, but also unnecessary”, arguing Canada already possesses a transparent court-supervised system for lawful access requests. Why Apple and Google Say Encryption Is at Risk Apple and Google maintain that no secure method exists to create access points solely for governments while preventing exploitation by malicious actors. “Speaking as an engineer, we do not know of a way to deploy encryption technology that provides access only for the good guys without creating new ways for the bad guys to break in,” Apple’s senior director of user privacy and child safety, Erik Neuenschwander, told MPs. “In other words, when you build a backdoor into an encrypted device, anyone can walk through.” ALSO READ: Oil spikes, airlines stumble, AI stocks soar: The sectors gaining and losing most from the Iran war Neuenschwander pointed to the 2024 Salt Typhoon cyberattack on US government systems, which allegedly exploited lawful access infrastructure. “That law was narrower than Bill C-22,” he warned. “So imagine what could happen if more companies were required to create these vulnerabilities.” Google similarly warned that the legislation “goes well beyond lawful access regimes in other G7 democracies” and risks undermining user trust and privacy protections. Signal Threatens to Leave Canada Signal, widely regarded as one of the world’s most secure messaging services, has gone further. Udbhav Tiwari, the company’s vice-president of strategy and global affairs, told The Globe and Mail that Signal “would rather pull out of the country than be compelled to compromise on the privacy promises we have made to our users”. The company fears the legislation could ultimately force encrypted services either to weaken security protections or withdraw entirely from the Canadian market. Apple has already faced a similar confrontation in Britain. Last year, after receiving a secret government demand for access to encrypted cloud-stored data, the company withdrew certain encrypted cloud backup features from the UK market rather than alter its security architecture. ALSO READ: AI beats human forecasters in tournament predicting fate of 30 technology startups Part of a Wider Global Debate Canada’s bill mirrors measures introduced elsewhere. Australia enacted laws compelling technology firms to assist authorities in accessing encrypted communications, while Britain’s Investigatory Powers framework has repeatedly drawn criticism from privacy advocates and technology companies. The controversy has now crossed into the United States. US House Chairs Jim Jordan and Brian Mast sent an official letter to Canada’s Minister of Public Safety expressing severe concerns over Canada's proposed cybersecurity legislation, Bill C-22. The letter, sent by the House Judiciary and Foreign Affairs committees, warned that Bill C-22 could “drastically expand Canada’s surveillance and data access powers” and create “significant cross-border risks to the security and data privacy of Americans”. The clash over Bill C-22 ultimately reflects a broader international struggle: how democracies balance national security and criminal investigations with the integrity of digital privacy and encrypted communications. For governments, encrypted platforms can obstruct investigations. For technology companies, any deliberate vulnerability risks becoming a gateway not only for law enforcement, but also for hackers, cybercriminals and hostile states.

The legislation aims to modernise how law enforcement agencies investigate cybercrime, terrorism and national security threats by expanding access to digital communications and user data.

What is Canada’s online safety bill? Why tech giants like Apple & Google oppose it, what it means for user privacy | WION Decodes

Google has unveiled a major AI-powered transformation of its search engine at its I/O conference, signalling a deeper push into AI agents and personalised digital assistance. The company introduced new features, including “Spark” mode, designed to monitor emails, schedules and even credit card statements to help users manage daily tasks more efficiently. 


Google Unveils AI Overhaul of Search

Google is set to invest a massive $15 billion in Andhra Pradesh as the state pushes to transform Visakhapatnam into a major artificial intelligence hub. Union IT Minister Ashwini Vaishnaw said Vizag is on track to become “AI-Patnam,” with plans to build a strong AI ecosystem involving infrastructure, innovation, startups, and advanced technology development. The move is expected to boost jobs, attract global tech investment, and strengthen India’s AI ambitions.

IT Minister Vaishnaw: Visakhapatnam to Become AI-Patnam

Google has signed a new artificial intelligence agreement with the Pentagon, joining firms like OpenAI and xAI in expanding military AI cooperation. The contract reportedly allows the technology to be used for “any lawful purpose,” highlighting Washington’s growing focus on integrating advanced AI into defence and security operations amid intensifying global tech competition.


Google Joins OpenAI And xAI In Pentagon AI Deals

WhatsApp has banned over 9,400 accounts in India following a 12-week investigation into organised fraud networks and so-called “digital arrest” scams. The crackdown comes amid growing concerns over online extortion and impersonation schemes targeting citizens. Authorities and courts have pushed for stronger action against cyber fraud, while tech companies are facing mounting pressure to tighten digital security measures.


WhatsApp Bans 9,400 Scam Accounts In India Amid Major Fraud Crackdown

Google Cloud has announced a landmark $15 billion investment to build its first Artificial Intelligence hub in India, located in Visakhapatnam.

The project will feature gigawatt-scale data centers, a new subsea connectivity gateway, and advanced digital infrastructure aimed at powering global AI services. The initiative aligns with India’s broader vision of becoming an AI-driven economy and strengthening tech collaboration with the United States.

With partnerships involving major players and a focus on high-performance computing, this hub could transform sectors ranging from startups to large enterprises—while creating jobs and boosting innovation.

Google’s $15 Billion India AI Hub in Visakhapatnam: Biggest Tech Investment Yet 

Google is reportedly in talks with Marvell Technology to develop next-generation AI-focused chips. The collaboration aims to boost efficiency and performance through custom designs, including improved memory units and advanced TPUs. As the AI race intensifies, such innovations could give Google a stronger edge in handling complex workloads, powering everything from search to generative AI systems.


Google Eyes AI Chip Breakthrough With Marvell Partnership To Boost Performance 

Google has introduced a new update to its AI-powered search experience, allowing users to explore websites side-by-side with its AI Mode. The feature is currently rolling out on Chrome desktop in the United States, according to the company’s official blog post.The update aims to make browsing simpler by reducing the need to switch between multiple tabs while searching and comparing information.<h2>What is Google AI Mode and what has changed?</h2>Google’s AI Mode is a conversational search feature that allows users to ask questions and receive detailed answers, similar to a chatbot. With the latest update, when a user clicks on a link, the webpage now opens next to AI Mode instead of replacing it.<h2>This means users can:</h2>View a website and AI responses at the same timeAsk follow-up questions without losing contextCompare information across sources more easily&nbsp;According to Google, early testers found this helpful for tasks like reading long articles or watching videos while continuing to ask questions.&nbsp;How the side-by-side browsing works&nbsp;The new feature is designed to keep users focused on their task.&nbsp;For example, if someone is searching for a coffee maker:&nbsp;They can ask AI Mode for recommendationsClick on a product linkView the product page alongside AI responsesAsk questions like “Is this easy to clean?”&nbsp;The AI then uses information from the webpage and broader web sources to provide answers.&nbsp;This reduces the need to move between tabs repeatedly, which is a common issue in traditional browsing.&nbsp;New feature: Search across open Chrome tabs&nbsp;Google has also added another feature that allows users to include open tabs in their search.&nbsp;Users can:&nbsp;Tap the “plus” icon in the search boxSelect open tabs, files, or imagesAdd them into the AI search context&nbsp;This helps in tasks such as:&nbsp;Researching multiple topics at onceStudying with notes and lecture slidesComparing different websites quickly&nbsp;For instance, a user researching hiking trails can combine several open tabs and ask for similar locations in another region.&nbsp;<h2>Why this update matters</h2>This update reflects a larger shift in how people use search engines. Instead of just showing links, AI-powered search is now becoming more interactive and context-aware.Industry analysts note that companies are trying to:Reduce friction in browsingKeep users engaged within one interfaceCombine search and assistance in real timeBy integrating browsing and AI responses, Google is moving closer to a more unified search experience.<h2>Availability and what comes next</h2>The new AI Mode features are currently available in the United States. Google has said it plans to expand access to more regions in the coming months, though no exact timeline has been shared. As AI search continues to evolve, features like side-by-side browsing and tab integration may become standard tools for users.

Google has introduced a major update to its AI-powered search experience, adding side-by-side browsing in AI Mode on Chrome desktop (US only for now). The feature lets users view websites alongside AI responses, ask follow-up questions without losing context, and even search across open tabs. 

Google has introduced a new update to its AI-powered search experience, allowing users to explore websites side-by-side with its AI Mode. The feature is currently rolling out on Chrome desktop in the United States, according to the company’s official blog post. The update aims to make browsing simpler by reducing the need to switch between multiple tabs while searching and comparing information. What is Google AI Mode and what has changed? Google’s AI Mode is a conversational search feature that allows users to ask questions and receive detailed answers, similar to a chatbot. With the latest update, when a user clicks on a link, the webpage now opens next to AI Mode instead of replacing it. This means users can: View a website and AI responses at the same time Ask follow-up questions without losing context Compare information across sources more easily According to Google, early testers found this helpful for tasks like reading long articles or watching videos while continuing to ask questions. How the side-by-side browsing works The new feature is designed to keep users focused on their task. For example, if someone is searching for a coffee maker: They can ask AI Mode for recommendations Click on a product link View the product page alongside AI responses Ask questions like “Is this easy to clean?” The AI then uses information from the webpage and broader web sources to provide answers. This reduces the need to move between tabs repeatedly, which is a common issue in traditional browsing. New feature: Search across open Chrome tabs Google has also added another feature that allows users to include open tabs in their search. Users can: Tap the “plus” icon in the search box Select open tabs, files, or images Add them into the AI search context This helps in tasks such as: Researching multiple topics at once Studying with notes and lecture slides Comparing different websites quickly For instance, a user researching hiking trails can combine several open tabs and ask for similar locations in another region. Why this update matters This update reflects a larger shift in how people use search engines. Instead of just showing links, AI-powered search is now becoming more interactive and context-aware. Industry analysts note that companies are trying to: Reduce friction in browsing Keep users engaged within one interface Combine search and assistance in real time By integrating browsing and AI responses, Google is moving closer to a more unified search experience. Availability and what comes next The new AI Mode features are currently available in the United States. Google has said it plans to expand access to more regions in the coming months, though no exact timeline has been shared. As AI search continues to evolve, features like side-by-side browsing and tab integration may become standard tools for users.

Google has introduced a major update to its AI-powered search experience, adding side-by-side browsing in AI Mode on Chrome (US only for now). The feature lets users view websites alongside AI responses, ask follow-up questions without losing context, and even search across open tabs.&nbsp;

Google AI Mode update: Now browse websites side-by-side without leaving search

Google is about to penalise websites that send users to a phantom page when they click the back button instead of actually returning them to their previous page. The search giant will classify as a malicious practice going forward. Known as back button hijacking, it is a method websites use to gain a few more clicks by offering more content when the user hits the back button. Normally, this step should take you to the previous page, but instead, you land on something that looks like a home page filled with content that might appeal to users. Google had so far tolerated this, but will now designate it a "malicious practice" from June this year. The motive behind taking users to a new page is to gain a few more clicks. Since this page was never visited previously by the user, it is also dubbed the phantom page.<h2>Websites cheating users with back button</h2>Google says the back button should do what it is intended for and not dupe users by deploying deceptive methods to lure them into clicking content they didn't ask for. The company says the practice is a deceptive user experience, which could lead people to feel cheated who might not ever visit an unfamiliar page in the future. Google is not setting up new rules to counter this practice and is instead enforcing a section of the malicious practices policy. "Malicious practices create a mismatch between user expectations and the actual outcome, leading to a negative and deceptive user experience, or compromised user security or privacy," a portion of the rule reads.<h2>When will Google enforce the rule?</h2>The rule will be enforced from June 15, 2026. Websites that continue to insert the phantom page through back button hijacking will face automated or manual anti-spam actions, and could drastically fall in page rank in search. This would mean a massive hit to their traffic since several websites rely heavily on clicks through searches. Google has said that websites have ample time to fix the issue of back button hijacking. While some websites have deployed them directly, others often have it because of a third-party library or advertising stack.

Google will punish websites for showing users a new page when they press the back button rather than actually taking them to the previous page. This practice of phantom page, or back button hijacking, is often done to get more clicks. But it ends soon. 

Google is about to penalise websites that send users to a phantom page when they click the back button instead of actually returning them to their previous page. The search giant will classify as a malicious practice going forward. Known as back button hijacking, it is a method websites use to gain a few more clicks by offering more content when the user hits the back button. Normally, this step should take you to the previous page, but instead, you land on something that looks like a home page filled with content that might appeal to users. Google had so far tolerated this, but will now designate it a "malicious practice" from June this year. The motive behind taking users to a new page is to gain a few more clicks. Since this page was never visited previously by the user, it is also dubbed the phantom page. Websites cheating users with back button Google says the back button should do what it is intended for and not dupe users by deploying deceptive methods to lure them into clicking content they didn't ask for. The company says the practice is a deceptive user experience, which could lead people to feel cheated who might not ever visit an unfamiliar page in the future. Google is not setting up new rules to counter this practice and is instead enforcing a section of the malicious practices policy. "Malicious practices create a mismatch between user expectations and the actual outcome, leading to a negative and deceptive user experience, or compromised user security or privacy," a portion of the rule reads. When will Google enforce the rule? The rule will be enforced from June 15, 2026. Websites that continue to insert the phantom page through back button hijacking will face automated or manual anti-spam actions, and could drastically fall in page rank in search. This would mean a massive hit to their traffic since several websites rely heavily on clicks through searches. Google has said that websites have ample time to fix the issue of back button hijacking. While some websites have deployed them directly, others often have it because of a third-party library or advertising stack.

Google will punish websites for showing users a new page when they press the back button rather than actually taking them to the previous page. This practice of phantom page, or back button hijacking, is often done to get more clicks. But it ends soon.&nbsp;

Google ends back button hijacking, will de-rank websites for 'phantom pages': Is yours at risk?

Google Gemini is set to introduce a one-touch crisis hotline interface, designed to help users quickly access emergency mental-health support when sensitive or distress signals are detected during interactions. The feature aims to improve user safety by providing faster access to trusted helplines and support resources directly inside the app experience.


Gemini to Show One-Touch Crisis Hotline Interface

Social media platforms are built to capture attention, using powerful algorithms to keep users scrolling longer. Experts warn this “attention economy” model may be contributing to rising mental health concerns, including anxiety and low self-esteem. Studies suggest the constant need for engagement can make it harder to disconnect, raising fresh questions about how digital platforms shape behaviour and well-being.


How Social Media Algorithms Fuel Addiction And Impact Mental Health

Microsoft is facing a second major investigation in the United Kingdom over its cloud software licensing practices. The probe by the Competition and Markets Authority will examine whether Microsoft’s licensing terms make it harder or more expensive for businesses to run its software on rival cloud platforms.


Microsoft Aces Second Major UK Investigation Over Cloud Licensing 

Tensions are rising as Iran issues a strong warning to major U.S. technology companies, stating they could become targets starting April 1. The threat comes amid the ongoing conflict with the United States, raising concerns over possible cyberattacks, economic disruption, and escalation beyond traditional warfare. Companies like Google, Apple, and Microsoft are reportedly in focus.


Iran Issues Threat To American Big Tech Firms: 'Will Become Targets From 1st April'

Google will begin verifying investment apps listed in India as part of a new system aimed at curbing fraudulent platforms.

The move is designed to protect users from fake investment schemes by ensuring that only verified apps are available for download.

The crackdown comes amid rising concerns over online financial fraud, with authorities and platforms stepping up efforts to improve user safety and trust in digital investment services.

India: Google Introduces Verification System to Curb Fraudulent Investment Apps

India: Google To Verify Investment Apps In India: New System Targets Fradulent Investment Apps

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