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<p>Apple could be preparing one of its biggest iPhone camera changes in years. The iPhone 18 Pro and iPhone 18 Pro Max are widely expected to get a variable-aperture main camera, a feature Apple has never previously used on an iPhone. If the reports are accurate, the change could make the biggest difference when shooting video in difficult lighting.&nbsp;<br><br>The idea is simple. Current Pro iPhones use a fixed aperture on their main camera. The iPhone 18 Pro could instead physically adjust the lens opening, allowing more light into the camera when conditions get dark. That matters because night video is much harder than night photography.</p><p>&nbsp;</p><h2><strong>Why variable aperture could help at night</strong></h2><p>When filming in a dark street, restaurant or concert, a phone has limited light to work with. It can increase exposure through software, but that can introduce noise and make shadows look muddy.</p><p>&nbsp;</p><p>A wider physical aperture gives the sensor more light before the image-processing system has to compensate. That could mean cleaner shadows, less visible noise and better-looking detail in dark video. It could also help the phone maintain more natural shutter speeds in difficult conditions. The technology has been reported by multiple sources, including Apple analyst Ming-Chi Kuo and supply-chain reports. Apple has reportedly begun production of components for the system.</p><h2><strong>It is not only about night video</strong></h2><p>The same hardware could make the iPhone 18 Pro more flexible during the day.</p><p>&nbsp;</p><p>The aperture could close in bright conditions, giving the camera more control over exposure. It could also provide greater control over depth of field, potentially creating more natural background separation than software-only effects. That is a major shift in philosophy for the iPhone camera. Instead of relying almost entirely on computational photography to compensate for a fixed lens, Apple would be giving the hardware more control.</p><p>There are also reports of a wider-aperture telephoto camera for the Pro models. A larger opening on that lens could improve low-light zoom performance and reduce noise when shooting distant subjects at night.</p><p>&nbsp;</p><h2><strong>Apple could be making video the real winner</strong></h2><p>The most interesting part may be how the camera behaves while recording.</p><p>Video cannot simply take a series of long exposures and combine them in the same way a phone can for some night photographs. Motion has to remain natural from frame to frame.</p><p>A variable aperture gives Apple another physical control over exposure. That could help the iPhone balance brightness without relying as heavily on aggressive digital processing. But there is an important caveat: better night video is not guaranteed. The final result will depend on the aperture range, sensor size, lens quality, image stabilisation and Apple's processing. These details remain unconfirmed. Still, if Apple gets the implementation right, the iPhone 18 Pro's most important camera upgrade may not be another megapixel increase. It could be the simple ability to let more light in when the sun goes down.</p>

The iPhone 18 Pro is expected to introduce Apple's first variable-aperture camera, allowing the main lens to physically control incoming light. The upgrade could improve night video by reducing noise, preserving shadow detail and giving Apple more control over exposure.

Apple could be preparing one of its biggest iPhone camera changes in years. The iPhone 18 Pro and iPhone 18 Pro Max are widely expected to get a variable-aperture main camera, a feature Apple has never previously used on an iPhone. If the reports are accurate, the change could make the biggest difference when shooting video in difficult lighting. The idea is simple. Current Pro iPhones use a fixed aperture on their main camera. The iPhone 18 Pro could instead physically adjust the lens opening, allowing more light into the camera when conditions get dark. That matters because night video is much harder than night photography. Why variable aperture could help at night When filming in a dark street, restaurant or concert, a phone has limited light to work with. It can increase exposure through software, but that can introduce noise and make shadows look muddy. A wider physical aperture gives the sensor more light before the image-processing system has to compensate. That could mean cleaner shadows, less visible noise and better-looking detail in dark video. It could also help the phone maintain more natural shutter speeds in difficult conditions. The technology has been reported by multiple sources, including Apple analyst Ming-Chi Kuo and supply-chain reports. Apple has reportedly begun production of components for the system. It is not only about night video The same hardware could make the iPhone 18 Pro more flexible during the day. The aperture could close in bright conditions, giving the camera more control over exposure. It could also provide greater control over depth of field, potentially creating more natural background separation than software-only effects. That is a major shift in philosophy for the iPhone camera. Instead of relying almost entirely on computational photography to compensate for a fixed lens, Apple would be giving the hardware more control. There are also reports of a wider-aperture telephoto camera for the Pro models. A larger opening on that lens could improve low-light zoom performance and reduce noise when shooting distant subjects at night. Apple could be making video the real winner The most interesting part may be how the camera behaves while recording. Video cannot simply take a series of long exposures and combine them in the same way a phone can for some night photographs. Motion has to remain natural from frame to frame. A variable aperture gives Apple another physical control over exposure. That could help the iPhone balance brightness without relying as heavily on aggressive digital processing. But there is an important caveat: better night video is not guaranteed. The final result will depend on the aperture range, sensor size, lens quality, image stabilisation and Apple's processing. These details remain unconfirmed. Still, if Apple gets the implementation right, the iPhone 18 Pro's most important camera upgrade may not be another megapixel increase. It could be the simple ability to let more light in when the sun goes down.

<p>The iPhone 18 Pro is expected to introduce Apple's first variable-aperture camera, allowing the main lens to physically control incoming light. The upgrade could improve night video by reducing noise, preserving shadow detail and giving Apple more control over exposure.</p>

The iPhone 18 Pro may finally fix one of the biggest problems with night video

<p>For years, India has repeated the phrase “data is the new oil” to describe the value of the information generated by more than a billion people. But the technology boom of 2026 is creating a different comparison: RAM may be the new oil.</p><p>&nbsp;</p><p>Computer memory has become dramatically more expensive as AI data centres compete for supplies. Tom’s Hardware recently reported that some DDR5 memory kits had risen by roughly 500% over 12 months, while a 128GB DDR5-6400 kit reached $3,399. The impact is no longer limited to PC enthusiasts. Zoho founder Sridhar Vembu recently warned that rising memory costs, combined with higher AI costs, are making business increasingly difficult.</p><p>&nbsp;</p><h2><strong>Why is RAM suddenly so expensive?</strong></h2><p>The answer is AI. Modern AI systems need huge amounts of fast memory. Data centres running models from companies such as OpenAI, Google and Anthropic require enormous quantities of DRAM and high-bandwidth memory. Memory manufacturers are therefore directing more capacity towards the lucrative AI and server market. That leaves less supply for conventional computers, smartphones and other devices. Apple CEO Tim Cook has described the situation as a “hundred-year flood” in memory pricing and said price increases had become unavoidable. Apple has already raised prices on several Macs and iPads.</p><p>&nbsp;</p><h2><strong>Why this could affect almost every business</strong></h2><p>The important point is that RAM is no longer simply a component inside a laptop. Almost every modern business depends on computing. A dental clinic may use computers to manage appointments and patient records. A bank needs servers. A factory needs connected machines. A small company may rely entirely on cloud software. All of those systems ultimately depend on computer hardware and data-centre infrastructure. When memory becomes more expensive, the additional cost can move through the supply chain. Hardware makers can raise prices. Cloud providers can face higher infrastructure costs. Software companies may then have to decide whether to absorb those costs or pass them to customers. That is why Vembu’s warning matters beyond Zoho.</p><p>&nbsp;</p><h2><strong>Could the RAM crisis last for years?</strong></h2><p>There are reasons to worry about a prolonged squeeze. Memory companies including Samsung, SK hynix and Micron are expanding production, but much of the new capacity is being directed towards AI-related memory. Industry forecasts also suggest that supply could remain tight for years rather than months. This creates a difficult choice for companies: accept lower profits, raise prices or redesign products and software to use less memory. That last option could become increasingly important. Vembu has argued that programming languages and compilers need to become more memory-efficient because developers can no longer assume that memory is effectively free.</p><p>&nbsp;</p><p>The comparison with oil is therefore more than a catchy phrase.</p><p>Oil powered the physical economy. RAM is becoming one of the resources that powers the digital one. And if AI continues consuming memory at today's pace, the next technology shock may not come from a lack of intelligence. It may come from a lack of space for that intelligence to run.</p>

RAM prices have surged as AI data centres consume more memory, with some DDR5 products up around 500% year-on-year. Zoho’s Sridhar Vembu says the squeeze is making business harder, raising fears that higher computing costs could spread across the wider economy.

For years, India has repeated the phrase “data is the new oil” to describe the value of the information generated by more than a billion people. But the technology boom of 2026 is creating a different comparison: RAM may be the new oil. Computer memory has become dramatically more expensive as AI data centres compete for supplies. Tom’s Hardware recently reported that some DDR5 memory kits had risen by roughly 500% over 12 months, while a 128GB DDR5-6400 kit reached $3,399. The impact is no longer limited to PC enthusiasts. Zoho founder Sridhar Vembu recently warned that rising memory costs, combined with higher AI costs, are making business increasingly difficult. Why is RAM suddenly so expensive? The answer is AI. Modern AI systems need huge amounts of fast memory. Data centres running models from companies such as OpenAI, Google and Anthropic require enormous quantities of DRAM and high-bandwidth memory. Memory manufacturers are therefore directing more capacity towards the lucrative AI and server market. That leaves less supply for conventional computers, smartphones and other devices. Apple CEO Tim Cook has described the situation as a “hundred-year flood” in memory pricing and said price increases had become unavoidable. Apple has already raised prices on several Macs and iPads. Why this could affect almost every business The important point is that RAM is no longer simply a component inside a laptop. Almost every modern business depends on computing. A dental clinic may use computers to manage appointments and patient records. A bank needs servers. A factory needs connected machines. A small company may rely entirely on cloud software. All of those systems ultimately depend on computer hardware and data-centre infrastructure. When memory becomes more expensive, the additional cost can move through the supply chain. Hardware makers can raise prices. Cloud providers can face higher infrastructure costs. Software companies may then have to decide whether to absorb those costs or pass them to customers. That is why Vembu’s warning matters beyond Zoho. Could the RAM crisis last for years? There are reasons to worry about a prolonged squeeze. Memory companies including Samsung, SK hynix and Micron are expanding production, but much of the new capacity is being directed towards AI-related memory. Industry forecasts also suggest that supply could remain tight for years rather than months. This creates a difficult choice for companies: accept lower profits, raise prices or redesign products and software to use less memory. That last option could become increasingly important. Vembu has argued that programming languages and compilers need to become more memory-efficient because developers can no longer assume that memory is effectively free. The comparison with oil is therefore more than a catchy phrase. Oil powered the physical economy. RAM is becoming one of the resources that powers the digital one. And if AI continues consuming memory at today's pace, the next technology shock may not come from a lack of intelligence. It may come from a lack of space for that intelligence to run.

<p>RAM prices have surged as AI data centres consume more memory, with some DDR5 products up around 500% year-on-year. Zoho’s Sridhar Vembu says the squeeze is making business harder, raising fears that higher computing costs could spread across the wider economy.</p>

RAM is becoming the new oil: How a 500% memory price surge could make everything more expensive

<p>India's Global Capability Centres (GCCs) are making remarkable shifts in the country's businesses, moving decisively beyond cost-saving back offices to becoming strategic hubs that shape global enterprise decisions. India has hosted more than 2,100 GCCs by early 2026, employing over 2.3 million professionals and generating revenues crossing $70 billion annually.</p><p><br>NASSCOM also projected that the ecosystem is set to reach $105 billion and 2.8 million employees by 2030. As per the recent industry landscape report, it has been discovered that 92 per cent of GCC leaders now say their centres deliver value far beyond cost savings, functioning instead as "Global Offices" that own end-to-end product lifecycles and drive enterprise AI roadmaps. The technical focus has deepened too, with over 70 per cent of GCCs now running AI-native workflows, going ahead with pilot projects to enterprise-grade deployment.</p><h3>Enterprise architecture and operating models.</h3><p>With the introduction of generative AI in workflows, enterprises continue pouring resources worldwide. It has also been seen that multiple organisations have deployed copilots, chatbots and isolated proofs of concept without redesigning the workflows, data foundations, controls and decision rights around them.</p><p>&nbsp;</p><p><strong>Also read:</strong> <a href="https://www.wionews.com/india-news/wion-exclusive-how-energy-productivity-can-power-india-s-next-phase-of-industrial-growth-1786784297557">WION Exclusive: How can energy productivity power India’s next phase of industrial growth</a></p><p><br>Reacting to the development, Dr Ashish Chandra, Founder &amp; CEO of GFF AI, stated that the problem isn't a shortage of AI capability; it's a lack of readiness in enterprise architecture and operating models.&nbsp;</p><p>&nbsp;</p><p><i><strong>1. After years of experimentation with generative AI, many enterprises are still struggling to translate AI investments into measurable business outcomes. What are the biggest gaps preventing organisations from moving beyond pilots and achieving meaningful transformation?&nbsp; &nbsp;</strong></i></p><p>&nbsp;</p><p><strong>Dr Ashish Chandra:</strong> The biggest gap is not AI capability; it is enterprise architecture and operating-model readiness. Many organisations have deployed copilots, chatbots and isolated proofs of concept without redesigning the workflows, data foundations, controls and decision rights around them. As a result, AI remains an additional technology layer rather than becoming part of how the enterprise operates. Moving from pilots to measurable outcomes requires organisations to start with business KPIs, engineer AI into end-to-end workflows, establish strong governance and continuously measure value. The real transition is from experimenting with AI to operationalising intelligence at enterprise scale.</p><p>&nbsp;</p><p><i><strong>2. The enterprise AI conversation appears to be shifting from simply adopting tools such as copilots and chatbots to fundamentally redesigning workflows, decision-making and business operations. What is driving this shift, and what does an AI-native organisation actually look like?</strong></i></p><p>&nbsp;</p><p><strong>Dr Ashish Chandra: </strong>An AI-native organisation is not one where every employee has a copilot. It is one where intelligence is embedded into the operating fabric of the business. Workflows can sense events, interpret context, recommend or execute actions and continuously learn, while humans retain appropriate oversight and accountability. We are moving from AI assisting individual tasks towards AI orchestrating complete business processes across functions and systems. This shift is being driven by agentic AI, stronger enterprise data foundations and pressure to demonstrate tangible ROI. The fundamental question is changing from “Where can we use AI?” to “How should this business operate when intelligence is pervasive?”</p><p>&nbsp;</p><p><i><strong>3. Industry experts increasingly argue that the next AI challenge is less about building better models and more about integrating intelligence into data, workflows, governance and everyday decision-making. How should businesses rethink their technology and operating models to make this transition?&nbsp;</strong></i></p><p>&nbsp;</p><p><strong>Dr Ashish Chandra: </strong>Enterprises need to stop treating AI as another application layer and start designing an intelligence architecture. That means connecting enterprise data, knowledge, workflows, AI models and agents through governed orchestration layers. Technologies such as knowledge graphs, enterprise memory, APIs, event-driven architectures and agentic systems will increasingly connect intelligence to operational decisions. Equally important is the operating model: organisations need clear human-machine decision rights, AI product ownership, evaluation frameworks and continuous governance. The competitive advantage will increasingly come not from owning the best model, but from engineering the best system around models and embedding intelligence into thousands of everyday decisions.</p><p>&nbsp;</p><p><i><strong>4. India is emerging as a major global hub for Global Capability Centres (GCCs), with many moving from traditional delivery functions to innovation and technology hubs. How can GCCs become catalysts for enterprise-wide AI transformation and potentially serve as testing grounds for AI-native business models?&nbsp;</strong></i></p><p>&nbsp;</p><p><strong>Dr Ashish Chandra: </strong>India’s GCC opportunity is much larger than becoming the world’s AI engineering centre. GCCs can become controlled environments where global enterprises redesign how work itself is performed. They combine deep business-process knowledge, technology talent, enterprise data access and global operating context—an unusually powerful foundation for AI experimentation at scale. Instead of receiving processes designed elsewhere, leading GCCs should own AI product engineering, agentic workflow redesign, governance and measurable business outcomes. Successful models can then be industrialised globally. This would move Indian GCCs from execution centres to enterprise intelligence hubs—places where the next generation of global operating models is designed, tested and scaled.</p><p>&nbsp;</p><p><i><strong>5. As enterprises move towards what is increasingly being described as ‘enterprise intelligence’, which capabilities should business leaders prioritise today — from data and AI talent to technology infrastructure, governance and organisational change — to remain competitive over the next five years?&nbsp;</strong></i></p><p>&nbsp;</p><p><strong>Dr Ashish Chandra: </strong>Leaders should build five capabilities simultaneously: trusted data foundations, AI engineering talent, composable technology architecture, responsible AI governance and organisational change capacity. But another capability is becoming equally important—enterprise memory: the ability for AI systems to understand institutional knowledge, context, relationships and previous decisions rather than repeatedly starting from zero. Organisations will also need robust evaluation, cybersecurity, observability and human-in-the-loop controls as autonomous agents become operational. Over the next five years, competitive differentiation will increasingly depend on how effectively organisations convert their accumulated data, knowledge and workflows into governed, reusable intelligence that improves decisions continuously across the enterprise.</p><p>&nbsp;</p><p><i><strong>6. GFF AI has introduced the concept of Enterprise Intelligence Engineering to address the gap between AI experimentation and enterprise-wide transformation. What inspired this approach, how does it differ from conventional AI adoption, and what is your long-term vision for helping organisations become truly AI-native?&nbsp; &nbsp;</strong></i></p><p>&nbsp;</p><p><strong>Dr Ashish Chandra: </strong>GFF AI was founded around a simple observation: enterprises do not have an AI shortage; they have an industrialisation gap. Enterprise Intelligence Engineering addresses that gap by treating AI transformation as an engineering discipline rather than a collection of pilots. We connect data, enterprise memory, knowledge graphs, agents, workflows, governance and human decision-making into deployable intelligence systems. Our approach progresses from experimentation to repeatable engineering and ultimately enterprise-scale operation—what we describe as Garage to Foundry to Factory. Our long-term vision is to help organisations evolve from businesses that use AI into enterprises where governed intelligence becomes part of their operating architecture.&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</p>

It has also been seen that multiple organisations have deployed copilots, chatbots and isolated proofs of concept without redesigning the workflows, data foundations, controls and decision rights around them.

India's Global Capability Centres (GCCs) are making remarkable shifts in the country's businesses, moving decisively beyond cost-saving back offices to becoming strategic hubs that shape global enterprise decisions. India has hosted more than 2,100 GCCs by early 2026, employing over 2.3 million professionals and generating revenues crossing $70 billion annually. NASSCOM also projected that the ecosystem is set to reach $105 billion and 2.8 million employees by 2030. As per the recent industry landscape report, it has been discovered that 92 per cent of GCC leaders now say their centres deliver value far beyond cost savings, functioning instead as "Global Offices" that own end-to-end product lifecycles and drive enterprise AI roadmaps. The technical focus has deepened too, with over 70 per cent of GCCs now running AI-native workflows, going ahead with pilot projects to enterprise-grade deployment. Enterprise architecture and operating models. With the introduction of generative AI in workflows, enterprises continue pouring resources worldwide. It has also been seen that multiple organisations have deployed copilots, chatbots and isolated proofs of concept without redesigning the workflows, data foundations, controls and decision rights around them. Also read: WION Exclusive: How can energy productivity power India’s next phase of industrial growth Reacting to the development, Dr Ashish Chandra, Founder & CEO of GFF AI, stated that the problem isn't a shortage of AI capability; it's a lack of readiness in enterprise architecture and operating models. 1. After years of experimentation with generative AI, many enterprises are still struggling to translate AI investments into measurable business outcomes. What are the biggest gaps preventing organisations from moving beyond pilots and achieving meaningful transformation? Dr Ashish Chandra: The biggest gap is not AI capability; it is enterprise architecture and operating-model readiness. Many organisations have deployed copilots, chatbots and isolated proofs of concept without redesigning the workflows, data foundations, controls and decision rights around them. As a result, AI remains an additional technology layer rather than becoming part of how the enterprise operates. Moving from pilots to measurable outcomes requires organisations to start with business KPIs, engineer AI into end-to-end workflows, establish strong governance and continuously measure value. The real transition is from experimenting with AI to operationalising intelligence at enterprise scale. 2. The enterprise AI conversation appears to be shifting from simply adopting tools such as copilots and chatbots to fundamentally redesigning workflows, decision-making and business operations. What is driving this shift, and what does an AI-native organisation actually look like? Dr Ashish Chandra: An AI-native organisation is not one where every employee has a copilot. It is one where intelligence is embedded into the operating fabric of the business. Workflows can sense events, interpret context, recommend or execute actions and continuously learn, while humans retain appropriate oversight and accountability. We are moving from AI assisting individual tasks towards AI orchestrating complete business processes across functions and systems. This shift is being driven by agentic AI, stronger enterprise data foundations and pressure to demonstrate tangible ROI. The fundamental question is changing from “Where can we use AI?” to “How should this business operate when intelligence is pervasive?” 3. Industry experts increasingly argue that the next AI challenge is less about building better models and more about integrating intelligence into data, workflows, governance and everyday decision-making. How should businesses rethink their technology and operating models to make this transition? Dr Ashish Chandra: Enterprises need to stop treating AI as another application layer and start designing an intelligence architecture. That means connecting enterprise data, knowledge, workflows, AI models and agents through governed orchestration layers. Technologies such as knowledge graphs, enterprise memory, APIs, event-driven architectures and agentic systems will increasingly connect intelligence to operational decisions. Equally important is the operating model: organisations need clear human-machine decision rights, AI product ownership, evaluation frameworks and continuous governance. The competitive advantage will increasingly come not from owning the best model, but from engineering the best system around models and embedding intelligence into thousands of everyday decisions. 4. India is emerging as a major global hub for Global Capability Centres (GCCs), with many moving from traditional delivery functions to innovation and technology hubs. How can GCCs become catalysts for enterprise-wide AI transformation and potentially serve as testing grounds for AI-native business models? Dr Ashish Chandra: India’s GCC opportunity is much larger than becoming the world’s AI engineering centre. GCCs can become controlled environments where global enterprises redesign how work itself is performed. They combine deep business-process knowledge, technology talent, enterprise data access and global operating context—an unusually powerful foundation for AI experimentation at scale. Instead of receiving processes designed elsewhere, leading GCCs should own AI product engineering, agentic workflow redesign, governance and measurable business outcomes. Successful models can then be industrialised globally. This would move Indian GCCs from execution centres to enterprise intelligence hubs—places where the next generation of global operating models is designed, tested and scaled. 5. As enterprises move towards what is increasingly being described as ‘enterprise intelligence’, which capabilities should business leaders prioritise today — from data and AI talent to technology infrastructure, governance and organisational change — to remain competitive over the next five years? Dr Ashish Chandra: Leaders should build five capabilities simultaneously: trusted data foundations, AI engineering talent, composable technology architecture, responsible AI governance and organisational change capacity. But another capability is becoming equally important—enterprise memory: the ability for AI systems to understand institutional knowledge, context, relationships and previous decisions rather than repeatedly starting from zero. Organisations will also need robust evaluation, cybersecurity, observability and human-in-the-loop controls as autonomous agents become operational. Over the next five years, competitive differentiation will increasingly depend on how effectively organisations convert their accumulated data, knowledge and workflows into governed, reusable intelligence that improves decisions continuously across the enterprise. 6. GFF AI has introduced the concept of Enterprise Intelligence Engineering to address the gap between AI experimentation and enterprise-wide transformation. What inspired this approach, how does it differ from conventional AI adoption, and what is your long-term vision for helping organisations become truly AI-native? Dr Ashish Chandra: GFF AI was founded around a simple observation: enterprises do not have an AI shortage; they have an industrialisation gap. Enterprise Intelligence Engineering addresses that gap by treating AI transformation as an engineering discipline rather than a collection of pilots. We connect data, enterprise memory, knowledge graphs, agents, workflows, governance and human decision-making into deployable intelligence systems. Our approach progresses from experimentation to repeatable engineering and ultimately enterprise-scale operation—what we describe as Garage to Foundry to Factory. Our long-term vision is to help organisations evolve from businesses that use AI into enterprises where governed intelligence becomes part of their operating architecture.

<p>It has also been seen that multiple organisations have deployed copilots, chatbots and isolated proofs of concept without redesigning the workflows, data foundations, controls and decision rights around them.</p>

India’s GCCs are moving beyond cost centres: Can they become the testing ground for AI-native businesses?

<p>ChatGPT appears to be getting a little less robotic, and some users are not exactly thrilled about it. Several users have reported that OpenAI’s chatbot has started using swear words, including the F-word, while responding to otherwise ordinary queries. The reports gained attention this week after Business Insider published screenshots showing ChatGPT using profanity while answering a question related to a food recipe ingredient.</p><p>&nbsp;</p><p>The reports come as ChatGPT has recently been updated to a newer model, prompting fresh discussion over changes in the chatbot’s tone and personality. Users have previously complained about AI responses sounding overly robotic, while others have welcomed increasingly human-like interactions.</p><h2>Why is ChatGPT swearing?</h2><p>The Business Insider report included screenshots of conversations in which ChatGPT allegedly used profanity and casual slang. One user cited in the report said one of the recipe suggestions included the phrase “big ass kolaches”.</p><p>&nbsp;</p><p>Also read: <a href="https://www.wionews.com/world/us-navy-destroyer-spent-four-days-without-power-in-south-china-sea-this-is-what-we-know-1787037246896">US Navy destroyer spent four days without power in South China Sea. This is what we know</a></p><p>&nbsp;</p><p>The reported behaviour has also fuelled observations that ChatGPT appears to be using more internet-style and Gen Z slang in some conversations. However, it remains unclear whether the reported instances are part of a deliberate change to the chatbot’s personality or the result of another change in how the model responds to certain prompts.</p><p>&nbsp;</p><p>There is currently no confirmed explanation for why some users are seeing this behaviour.</p><h2>What has OpenAI said about ChatGPT using the F-word?</h2><p>OpenAI has not publicly explained the reported instances or confirmed whether a specific update is responsible for the language change.</p><p>&nbsp;</p><p>Also read: <a href="https://www.wionews.com/world/israeli-air-force-major-arrested-over-polymarket-wagers-on-iran-yemen-attacks-1786945053805">Israeli Air Force major arrested over Polymarket wagers on Iran, Yemen attacks</a></p><p>&nbsp;</p><p>Some speculation has linked the behaviour to ChatGPT’s default settings or changes affecting users of the free version. However, there is no confirmed evidence establishing a connection, and such claims remain speculative unless OpenAI provides further clarification.</p><p>&nbsp;</p>

Recent updates to ChatGPT have caused it to occasionally use profanity and casual slang, surprising users. OpenAI has not yet publicly confirmed or explained the reason behind this sudden shift.

ChatGPT appears to be getting a little less robotic, and some users are not exactly thrilled about it. Several users have reported that OpenAI’s chatbot has started using swear words, including the F-word, while responding to otherwise ordinary queries. The reports gained attention this week after Business Insider published screenshots showing ChatGPT using profanity while answering a question related to a food recipe ingredient. The reports come as ChatGPT has recently been updated to a newer model, prompting fresh discussion over changes in the chatbot’s tone and personality. Users have previously complained about AI responses sounding overly robotic, while others have welcomed increasingly human-like interactions. Why is ChatGPT swearing? The Business Insider report included screenshots of conversations in which ChatGPT allegedly used profanity and casual slang. One user cited in the report said one of the recipe suggestions included the phrase “big ass kolaches”. Also read: US Navy destroyer spent four days without power in South China Sea. This is what we know The reported behaviour has also fuelled observations that ChatGPT appears to be using more internet-style and Gen Z slang in some conversations. However, it remains unclear whether the reported instances are part of a deliberate change to the chatbot’s personality or the result of another change in how the model responds to certain prompts. There is currently no confirmed explanation for why some users are seeing this behaviour. What has OpenAI said about ChatGPT using the F-word? OpenAI has not publicly explained the reported instances or confirmed whether a specific update is responsible for the language change. Also read: Israeli Air Force major arrested over Polymarket wagers on Iran, Yemen attacks Some speculation has linked the behaviour to ChatGPT’s default settings or changes affecting users of the free version. However, there is no confirmed evidence establishing a connection, and such claims remain speculative unless OpenAI provides further clarification.

<p>Recent updates to ChatGPT have caused it to occasionally use profanity and casual slang, surprising users. OpenAI has not yet publicly confirmed or explained the reason behind this sudden shift.</p>

Did ChatGPT use F-word? Sudden change in AI chatbot shocks some. What’s happening?

<p>Personal information and medical records of more than 3.75 million people was stolen in a massive cyberattack on healthcare technology company CareCloud, making the breach the fifth-largest healthcare data theft reported in the US so far this year. CareCloud disclosed the number of affected individuals in a filing with the US Department of Health and Human Services (HHS) on Monday (Aug 17). The figure was revised upward in an update a day later, raising the possibility that the final toll could increase further.</p><p>The New Jersey-based company provides electronic medical record and billing services to tens of thousands of healthcare providers across the United States. Its systems store sensitive information belonging to millions of patients, including data handled on behalf of hospitals, clinics and doctors’ offices.</p><p>What information was stolen?</p><p>The breach dates back to March, when hackers accessed patient information stored in one of CareCloud’s cloud environments for six days. The company later said the attackers had removed data from its Amazon Web Services account.</p><p>The stolen information includes names, postal addresses, Social Security numbers and medical records. Hackers also obtained government-issued identification details, including passport and driver’s licence numbers, as well as banking and other financial information.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/world/chatgpt-for-teens-openai-rolls-out-new-version-with-safety-features-all-you-need-to-know-1787124373754"><strong>ChatGPT for Teens? OpenAI rolls out new version with safety features – All you need to know</strong></a></p><p>The combination of medical, identity and financial records could leave affected individuals vulnerable to identity theft and financial fraud.</p><p>CareCloud has offered limited public information about the incident since first disclosing the breach in March. It is unclear whether the company paid a ransom or who was responsible for cybersecurity at the company.</p><p>Healthcare sector faces growing cyber threat</p><p>The CareCloud breach is the latest in a string of major attacks affecting the US healthcare industry.</p><p>TriZetto said in March that a 2024 breach had compromised information belonging to 3.4 million people. Health technology billing software company Craneware also reported a July breach, although the number of affected individuals has not yet been disclosed.</p><p>HHS data shows dental insurance company DentaQuest has reported the largest healthcare breach of 2026 so far, affecting at least 15 million people.</p><p>The latest incident highlights the growing risks for healthcare companies that store huge volumes of sensitive patient information in cloud-based systems.</p>

CareCloud has confirmed that hackers stole medical and personal data of more than 3.7 million patients in a March breach, making it the fifth-largest US healthcare data theft of 2026.

Personal information and medical records of more than 3.75 million people was stolen in a massive cyberattack on healthcare technology company CareCloud, making the breach the fifth-largest healthcare data theft reported in the US so far this year. CareCloud disclosed the number of affected individuals in a filing with the US Department of Health and Human Services (HHS) on Monday (Aug 17). The figure was revised upward in an update a day later, raising the possibility that the final toll could increase further. The New Jersey-based company provides electronic medical record and billing services to tens of thousands of healthcare providers across the United States. Its systems store sensitive information belonging to millions of patients, including data handled on behalf of hospitals, clinics and doctors’ offices. What information was stolen? The breach dates back to March, when hackers accessed patient information stored in one of CareCloud’s cloud environments for six days. The company later said the attackers had removed data from its Amazon Web Services account. The stolen information includes names, postal addresses, Social Security numbers and medical records. Hackers also obtained government-issued identification details, including passport and driver’s licence numbers, as well as banking and other financial information. Also read | ChatGPT for Teens? OpenAI rolls out new version with safety features – All you need to know The combination of medical, identity and financial records could leave affected individuals vulnerable to identity theft and financial fraud. CareCloud has offered limited public information about the incident since first disclosing the breach in March. It is unclear whether the company paid a ransom or who was responsible for cybersecurity at the company. Healthcare sector faces growing cyber threat The CareCloud breach is the latest in a string of major attacks affecting the US healthcare industry. TriZetto said in March that a 2024 breach had compromised information belonging to 3.4 million people. Health technology billing software company Craneware also reported a July breach, although the number of affected individuals has not yet been disclosed. HHS data shows dental insurance company DentaQuest has reported the largest healthcare breach of 2026 so far, affecting at least 15 million people. The latest incident highlights the growing risks for healthcare companies that store huge volumes of sensitive patient information in cloud-based systems.

<p>CareCloud has confirmed that hackers stole medical and personal data of more than 3.7 million patients in a March breach, making it the fifth-largest US healthcare data theft of 2026.</p>

CareCloud confirms massive data breach after 3.7M patients’ records stolen – What we know

<p>A former engineering director at Meta Platforms (META.O) claimed on Wednesday (August 19) that ​CEO Mark Zuckerberg encouraged a culture that treated child safety as secondary to growth and engagement on Facebook and Instagram. The allegation has been made by Arturo Bejar, a vocal critic of Meta's ‌safety record during his second day of testimony in a landmark trial over claims that could reshape Facebook and Instagram, some of the most popular apps on the planet.</p><p><br>US states, including California, Colorado, Kentucky and New Jersey, accused Meta of formulating the platforms to grab the attention of young users, fueling anxiety, depression and even suicide, as well as misleading consumers about their safety. Those states also accused the firm of violating federal law ​by improperly collecting and using personal data of children under 13.</p><p><br>Experts indicated this trial as the most significant legal test yet to examine how social media impacts young users. Proceedings began on Tuesday in the Oakland, California, federal court with the case expected to last across six weeks. Jurors will deliver a non-binding advisory verdict, after which U.S. District Judge Yvonne Gonzalez Rogers will determine whether Meta bears liability and, if so, decide on any penalties and required changes to Facebook and Instagram.</p><p>&nbsp;</p><p><strong>Also read:</strong> <a href="https://www.wionews.com/india-news/us-tightens-green-card-scrutiny-indians-in-backlog-face-new-public-charge-test-1787207437983">US tightens green card scrutiny: Indians in backlog face new ‘public charge’ test</a></p><h3>Zuckerberg's role in company decision-making</h3><p>The states' opening witness, Bejar, testified that Mark Zuckerberg was deeply involved in company decision-making, describing a top-down culture at the Menlo Park-based firm where product changes happened only with his direct approval. "If Mark ​makes something a priority, mountains move in months," Bejar said.</p><p><br>He also pushed back against remarks Zuckerberg made in October 2021, made in response to claims from whistleblower Frances Haugen that Meta was aware its platforms posed risks to children, and knew how to fix them, yet chose profit over safety.</p><p><br>Zuckerberg had maintained at the time that Meta regularly relied on research to enhance its products. Bejar countered this by revealing he had personally emailed Zuckerberg to raise safety concerns. "It's so false, every ​part of it," Bejar said. "You just cannot trust Mark Zuckerberg with kids."</p><p><br>Bejar's tenure at Meta ran from 2009 to 2015, and he later returned as an independent contractor from 2019 to 2021, during which he studied the well-being of teenage Instagram users. In 2023, he testified before a U.S. Senate committee that Meta knew about harassment and other harms teen-facing teenagers on its platforms but failed to take action.</p><p>Under cross-examination ‌from the company's ⁠lawyer Brian Stekloff, Bejar claimed that he was unaware of the harm his teenage daughter would experience when he helped her set up an Instagram account. Bejar added that his daughter wanted a space where women could discuss cars; however, she faced misogynistic comments, including about her breasts. She was just 16 in 2021 by the time her father emailed Zuckerberg highlighting safety.</p>

US states, including California, Colorado, Kentucky and New Jersey, accused Meta of formulating the platforms to grab the attention of young users, fueling anxiety, depression and even suicide, as well as misleading consumers about their safety

A former engineering director at Meta Platforms (META.O) claimed on Wednesday (August 19) that CEO Mark Zuckerberg encouraged a culture that treated child safety as secondary to growth and engagement on Facebook and Instagram. The allegation has been made by Arturo Bejar, a vocal critic of Meta's ‌safety record during his second day of testimony in a landmark trial over claims that could reshape Facebook and Instagram, some of the most popular apps on the planet. US states, including California, Colorado, Kentucky and New Jersey, accused Meta of formulating the platforms to grab the attention of young users, fueling anxiety, depression and even suicide, as well as misleading consumers about their safety. Those states also accused the firm of violating federal law by improperly collecting and using personal data of children under 13. Experts indicated this trial as the most significant legal test yet to examine how social media impacts young users. Proceedings began on Tuesday in the Oakland, California, federal court with the case expected to last across six weeks. Jurors will deliver a non-binding advisory verdict, after which U.S. District Judge Yvonne Gonzalez Rogers will determine whether Meta bears liability and, if so, decide on any penalties and required changes to Facebook and Instagram. Also read: US tightens green card scrutiny: Indians in backlog face new ‘public charge’ test Zuckerberg's role in company decision-making The states' opening witness, Bejar, testified that Mark Zuckerberg was deeply involved in company decision-making, describing a top-down culture at the Menlo Park-based firm where product changes happened only with his direct approval. "If Mark makes something a priority, mountains move in months," Bejar said. He also pushed back against remarks Zuckerberg made in October 2021, made in response to claims from whistleblower Frances Haugen that Meta was aware its platforms posed risks to children, and knew how to fix them, yet chose profit over safety. Zuckerberg had maintained at the time that Meta regularly relied on research to enhance its products. Bejar countered this by revealing he had personally emailed Zuckerberg to raise safety concerns. "It's so false, every part of it," Bejar said. "You just cannot trust Mark Zuckerberg with kids." Bejar's tenure at Meta ran from 2009 to 2015, and he later returned as an independent contractor from 2019 to 2021, during which he studied the well-being of teenage Instagram users. In 2023, he testified before a U.S. Senate committee that Meta knew about harassment and other harms teen-facing teenagers on its platforms but failed to take action. Under cross-examination ‌from the company's ⁠lawyer Brian Stekloff, Bejar claimed that he was unaware of the harm his teenage daughter would experience when he helped her set up an Instagram account. Bejar added that his daughter wanted a space where women could discuss cars; however, she faced misogynistic comments, including about her breasts. She was just 16 in 2021 by the time her father emailed Zuckerberg highlighting safety.

<p>US states, including California, Colorado, Kentucky and New Jersey, accused Meta of formulating the platforms to grab the attention of young users, fueling anxiety, depression and even suicide, as well as misleading consumers about their safety</p>

'You just cannot trust Zuckerberg with kids': Ex-Meta director testifies in landmark trial, claims his own daughter faced abuse

<p>Grand Theft Auto 6 has been hit by another major leak, with gameplay clips and images claiming to show the game's map appearing online just days before Rockstar Games is due to reveal an extended look at the highly anticipated title. A group calling itself Cyberleek has claimed responsibility and says the leaks are part of a campaign against what it describes as anti-consumer practices in the gaming industry. Rockstar has not publicly confirmed the authenticity of the leaked material. However, reports say the publisher and parent company Take-Two have issued copyright takedowns against some of the footage.</p><p>&nbsp;</p><h2><strong>What does the GTA 6 leak show?</strong></h2><p>One of the clips reportedly shows Jason Duval, one of GTA 6's protagonists, playing basketball. The footage appears to show successful shots increasing a Focus meter. Another clip shows Jason involved in a road confrontation that escalates into a fight with another character. Other apparent details include vehicle storage, different loadouts, a working car boot and stamina that decreases during combat. Some of these systems have drawn comparisons with Red Dead Redemption 2, although it is too early to know whether the leaked footage represents the final game. Images circulating online also claim to show a large portion of the Leonida map, including several counties, islands and rail routes. But the age and development status of the map are unknown, so these details should be treated cautiously.</p><p>&nbsp;</p><h2><strong>Why is Cyberleek leaking GTA 6?</strong></h2><p>Cyberleek says its campaign is aimed at Rockstar and the wider gaming industry. Its manifesto objects to digital pre-orders, paid single-player content and games losing access to offline content. The group has published three demands and says it will continue its campaign until Rockstar responds publicly. The timing is particularly striking because Rockstar has already confirmed that GTA 6 will have a physical edition but it will contain a download code rather than a disc. Cyberleek appears to be specifically targeting that model, rather than claiming that GTA 6 will have no physical packaging at all.</p><p>&nbsp;</p><h2><strong>More GTA 6 footage could be coming</strong></h2><p>Cyberleek has suggested that the latest material is not the end of its campaign. However, claims about future leaks remain unverified. The incident comes just days before Rockstar's official GTA 6: An Extended Look, scheduled for August 27 at 3pm ET. Rockstar has confirmed the event on its website. The game itself is scheduled to launch on November 19, 2026, for PlayStation 5 and Xbox Series X|S. For Rockstar, the latest leak is an unwelcome reminder of the security problems that have surrounded GTA 6 since the huge 2022 breach. And with the official reveal now days away, the biggest question is whether anything new will remain for Rockstar to show first.</p>

GTA 6 gameplay clips and possible map images have leaked online days before Rockstar’s August 27 extended reveal. Cyberleek claims responsibility and says it is protesting digital gaming practices, while Rockstar and Take-Two have reportedly begun removing leaked material.


Grand Theft Auto 6 has been hit by another major leak, with gameplay clips and images claiming to show the game's map appearing online just days before Rockstar Games is due to reveal an extended look at the highly anticipated title. A group calling itself Cyberleek has claimed responsibility and says the leaks are part of a campaign against what it describes as anti-consumer practices in the gaming industry. Rockstar has not publicly confirmed the authenticity of the leaked material. However, reports say the publisher and parent company Take-Two have issued copyright takedowns against some of the footage. What does the GTA 6 leak show? One of the clips reportedly shows Jason Duval, one of GTA 6's protagonists, playing basketball. The footage appears to show successful shots increasing a Focus meter. Another clip shows Jason involved in a road confrontation that escalates into a fight with another character. Other apparent details include vehicle storage, different loadouts, a working car boot and stamina that decreases during combat. Some of these systems have drawn comparisons with Red Dead Redemption 2, although it is too early to know whether the leaked footage represents the final game. Images circulating online also claim to show a large portion of the Leonida map, including several counties, islands and rail routes. But the age and development status of the map are unknown, so these details should be treated cautiously. Why is Cyberleek leaking GTA 6? Cyberleek says its campaign is aimed at Rockstar and the wider gaming industry. Its manifesto objects to digital pre-orders, paid single-player content and games losing access to offline content. The group has published three demands and says it will continue its campaign until Rockstar responds publicly. The timing is particularly striking because Rockstar has already confirmed that GTA 6 will have a physical edition but it will contain a download code rather than a disc. Cyberleek appears to be specifically targeting that model, rather than claiming that GTA 6 will have no physical packaging at all. More GTA 6 footage could be coming Cyberleek has suggested that the latest material is not the end of its campaign. However, claims about future leaks remain unverified. The incident comes just days before Rockstar's official GTA 6: An Extended Look, scheduled for August 27 at 3pm ET. Rockstar has confirmed the event on its website. The game itself is scheduled to launch on November 19, 2026, for PlayStation 5 and Xbox Series X|S. For Rockstar, the latest leak is an unwelcome reminder of the security problems that have surrounded GTA 6 since the huge 2022 breach. And with the official reveal now days away, the biggest question is whether anything new will remain for Rockstar to show first.

<p>GTA 6 gameplay clips and possible map images have leaked online days before Rockstar’s August 27 extended reveal. Cyberleek claims responsibility and says it is protesting digital gaming practices, while Rockstar and Take-Two have reportedly begun removing leaked material.</p>

GTA 6’s biggest leak since 2022? Gameplay clips and map surface online

<p>&nbsp;</p><p>Samsung Electronics has raised prices for some advanced chipmaking services by up to 15 per cent, according to people familiar with the matter, as the AI boom puts growing pressure on semiconductor manufacturing capacity.</p><p>&nbsp;</p><p>The increase affects chips made using Samsung's 4nm, 5nm and 8nm processes. Customers in China and the US are facing the steepest increases, with some prices rising between 10% and 15%. The development is significant because Samsung's foundry business has struggled for years to compete with Taiwan Semiconductor Manufacturing Co, or TSMC.</p><p>&nbsp;</p><h2><strong>Why are Samsung's chip prices rising?</strong></h2><p>The main reason is simple: AI companies need enormous amounts of advanced chips, but manufacturing capacity is limited.</p><p>&nbsp;</p><p>TSMC remains the dominant player. Counterpoint estimates that it controlled about 73% of the pure-play foundry market in the first quarter of 2026, compared with 7% for Samsung Foundry. With TSMC's leading-edge capacity heavily booked, some customers are looking for alternatives. That gives Samsung more room to increase prices. Samsung's 4nm SF4 prices rose by 10% to 15% for customers in China and the US, according to Reuters' sources. Prices for Taiwan-based customers increased by 5% to 10%. Its 5nm SF5 wafers also became 10% to 15% more expensive, while 8nm prices rose by almost 10%. Samsung declined to comment on the reported changes.</p><p>&nbsp;</p><h2><strong>China faces some of the biggest increases</strong></h2><p>Chinese customers are reportedly among those accepting the steepest price rises. US restrictions on advanced chipmaking equipment have made it harder for Chinese companies to access cutting-edge domestic manufacturing. That has increased their reliance on overseas foundries. At the same time, Samsung's own capacity is under pressure. Its SF4 line at the Pyeongtaek plant in South Korea has reportedly been running at full capacity since late 2025. The company is also reserving capacity for its own semiconductor products, including components used in high-bandwidth memory systems.</p><p>&nbsp;</p><h2><strong>Samsung sees a chance to revive its foundry business</strong></h2><p>The price increase could be an important turning point for Samsung. Its foundry division has struggled with profitability since 2022, while its memory business has benefited enormously from AI demand. Samsung's overall semiconductor position has also strengthened through partnerships across the AI supply chain. Samsung and Broadcom recently announced a collaboration spanning memory, foundry and advanced packaging, with the companies expecting more than $200 billion of combined business through 2030. Samsung has also secured or pursued chipmaking relationships involving companies including Tesla, Apple, Nvidia and Google. Analysts now believe stronger demand, higher factory utilisation and better production yields could help Samsung's foundry business return to profitability sooner. The bigger picture is clear: the AI boom is no longer just increasing demand for powerful chips. It is also giving chipmakers more power to decide how much those chips cost.</p>

Samsung has reportedly raised prices for advanced foundry services by up to 15% as AI demand tightens chipmaking capacity. The move could strengthen Samsung's struggling foundry business, while customers face higher costs for advanced 4nm and 5nm chips.

Samsung Electronics has raised prices for some advanced chipmaking services by up to 15 per cent, according to people familiar with the matter, as the AI boom puts growing pressure on semiconductor manufacturing capacity. The increase affects chips made using Samsung's 4nm, 5nm and 8nm processes. Customers in China and the US are facing the steepest increases, with some prices rising between 10% and 15%. The development is significant because Samsung's foundry business has struggled for years to compete with Taiwan Semiconductor Manufacturing Co, or TSMC. Why are Samsung's chip prices rising? The main reason is simple: AI companies need enormous amounts of advanced chips, but manufacturing capacity is limited. TSMC remains the dominant player. Counterpoint estimates that it controlled about 73% of the pure-play foundry market in the first quarter of 2026, compared with 7% for Samsung Foundry. With TSMC's leading-edge capacity heavily booked, some customers are looking for alternatives. That gives Samsung more room to increase prices. Samsung's 4nm SF4 prices rose by 10% to 15% for customers in China and the US, according to Reuters' sources. Prices for Taiwan-based customers increased by 5% to 10%. Its 5nm SF5 wafers also became 10% to 15% more expensive, while 8nm prices rose by almost 10%. Samsung declined to comment on the reported changes. China faces some of the biggest increases Chinese customers are reportedly among those accepting the steepest price rises. US restrictions on advanced chipmaking equipment have made it harder for Chinese companies to access cutting-edge domestic manufacturing. That has increased their reliance on overseas foundries. At the same time, Samsung's own capacity is under pressure. Its SF4 line at the Pyeongtaek plant in South Korea has reportedly been running at full capacity since late 2025. The company is also reserving capacity for its own semiconductor products, including components used in high-bandwidth memory systems. Samsung sees a chance to revive its foundry business The price increase could be an important turning point for Samsung. Its foundry division has struggled with profitability since 2022, while its memory business has benefited enormously from AI demand. Samsung's overall semiconductor position has also strengthened through partnerships across the AI supply chain. Samsung and Broadcom recently announced a collaboration spanning memory, foundry and advanced packaging, with the companies expecting more than $200 billion of combined business through 2030. Samsung has also secured or pursued chipmaking relationships involving companies including Tesla, Apple, Nvidia and Google. Analysts now believe stronger demand, higher factory utilisation and better production yields could help Samsung's foundry business return to profitability sooner. The bigger picture is clear: the AI boom is no longer just increasing demand for powerful chips. It is also giving chipmakers more power to decide how much those chips cost.

<p>Samsung has reportedly raised prices for advanced foundry services by up to 15% as AI demand tightens chipmaking capacity. The move could strengthen Samsung's struggling foundry business, while customers face higher costs for advanced 4nm and 5nm chips.</p>

Samsung raises semiconductor prices by up to 15%: What’s driving the increase

<p>Apple’s first foldable iPhone is getting closer, but buyers outside the US may not be able to get it immediately. Reports suggest Apple could begin selling the iPhone Fold in a limited number of markets, with supply constraints potentially delaying its arrival elsewhere by several months. The foldable is expected to be unveiled alongside the iPhone 18 Pro, iPhone 18 Pro Max and iPhone Ultra at Apple’s September event. However, production problems, high costs and limited supply are reportedly complicating the launch.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">First look at the iPhone Fold dummy unit. It doesn&#39;t look like Apple will offer multiple colors, with white currently appearing to be the only option. What do you think? <a href="https://t.co/olMzm6t6Ts">pic.twitter.com/olMzm6t6Ts</a></p>&mdash; Sonny Dickson (@SonnyDickson) <a href="https://x.com/SonnyDickson/status/2063490633696976975?ref_src=twsrc%5Etfw">June 7, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>Why could the iPhone Fold be delayed?</strong></h2><p>A China-based supplier cited by Australian outlet Channel News reportedly said Apple is dealing with supply, testing and pricing problems. Production verification testing has also allegedly uncovered issues involving the hinge and foldable display. Mass production was reportedly planned for June but was pushed to early August, with the timeline facing further changes.</p><p><strong>The claims have not been confirmed by Apple.</strong></p><p>&nbsp;</p><p>Analyst Ming-Chi Kuo has separately suggested that the foldable may not be immediately available worldwide because of limited supply. Bloomberg’s Mark Gurman has also indicated that the device could ship after the iPhone 18 Pro models. That would not be entirely new for Apple. The iPhone X, unveiled in September 2017, went on sale later than the iPhone 8.</p><p>&nbsp;</p><h2><strong>US buyers could get priority</strong></h2><p>Reports suggest Apple could manufacture around 7 million iPhone Fold units during the second half of 2026, with the US expected to be among the first markets to receive the device. China could follow, while markets such as Australia may have to wait. The reported delay for some countries could be two to three months. It remains unclear whether India would be included in the first wave or a later rollout. For Apple, the limited supply would come at a crucial moment. The company is entering a foldable market already dominated by Samsung, which recently expanded its own foldable range.</p><h2><strong>The biggest question may be the price</strong></h2><p>Supply is not the only concern. The iPhone Fold is expected to be significantly more expensive than conventional iPhones. That comes as smartphone manufacturers face higher component costs, particularly for memory chips as demand from AI data centres continues to rise. Apple has not confirmed the iPhone Fold, its price or its release schedule. Until the company takes the stage, the reported September 8 unveiling and possible staggered rollout remain unconfirmed. But if the reports prove accurate, seeing Apple’s first foldable iPhone in September may be easier than actually buying one.</p>

Apple’s first foldable iPhone could debut in September but reportedly launch in limited markets first. Supply, testing and pricing issues may delay availability elsewhere by two to three months, although Apple has yet to confirm the device or its rollout plans.

Apple’s first foldable iPhone is getting closer, but buyers outside the US may not be able to get it immediately. Reports suggest Apple could begin selling the iPhone Fold in a limited number of markets, with supply constraints potentially delaying its arrival elsewhere by several months. The foldable is expected to be unveiled alongside the iPhone 18 Pro, iPhone 18 Pro Max and iPhone Ultra at Apple’s September event. However, production problems, high costs and limited supply are reportedly complicating the launch.

<p>Apple’s first foldable iPhone could debut in September but reportedly launch in limited markets first. Supply, testing and pricing issues may delay availability elsewhere by two to three months, although Apple has yet to confirm the device or its rollout plans.</p>

Apple iPhone Fold launch nears: markets outside US may have to wait

<p>OpenAI on Tuesday (Aug 18) announced the launch of a ChatGPT version designed specifically for teenagers, adding tighter safeguards and parental controls as concerns grow over the risks of AI chatbots for young users. The new “ChatGPT for Teens” mode is aimed at users aged 13 to 17. OpenAI said it will restrict conversations involving high-risk subjects such as self-harm, violence and eating disorders, while also providing tools intended to support learning rather than simply giving students answers.</p><p>The system is designed to activate automatically when OpenAI estimates that a user is under 18 or when they identify themselves as being between 13 and 17.</p><p>Parents will have access to controls including “Quiet Hours”, allowing them to limit when their teenagers can use the service. They will also be able to manage selected settings and receive notifications if their child discusses certain sensitive subjects.</p><p>OpenAI’s move comes as technology companies face growing scrutiny over the impact of digital platforms on children. Meta has introduced additional protections for teenagers on its services, while governments around the world are debating restrictions on social media use among minors.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/world/did-meta-hook-children-to-facebook-instagram-for-profit-29-us-states-take-tech-giant-to-trial-1787114577231"><strong>Did Meta ‘hook’ children to Facebook, Instagram for profit? 29 US states take tech giant to trial</strong></a></p><p>For OpenAI, the issue carries particular significance. The company is already facing lawsuits alleging that ChatGPT contributed to harm involving children. Experts have also raised concerns about young people turning to conversational AI for emotional support or mental health advice.</p><p>OpenAI said the new system is intended to make AI useful beyond traditional classroom settings.</p><p>“We believe AI should expand educational opportunity, which is why we designed ChatGPT for Teens to support moments outside the classroom when help is not always available,” the company said.</p><p>The teen-focused mode will include a study mode, homework reminders, quizzes and visual learning tools. A Pew Research Center study found that searching for information and getting homework help were among the most common uses of AI among US teenagers.</p><p>OpenAI said age detection will combine self-reported information, account and behavioural signals and verification. If the system cannot confidently determine a user’s age, it will default to the safer setting.<br>&nbsp;</p>

OpenAI has launched ChatGPT for Teens with parental controls, age checks and safeguards on risky topics, while adding study tools for users aged 13-17 amid growing AI safety concerns.

OpenAI on Tuesday (Aug 18) announced the launch of a ChatGPT version designed specifically for teenagers, adding tighter safeguards and parental controls as concerns grow over the risks of AI chatbots for young users. The new “ChatGPT for Teens” mode is aimed at users aged 13 to 17. OpenAI said it will restrict conversations involving high-risk subjects such as self-harm, violence and eating disorders, while also providing tools intended to support learning rather than simply giving students answers. The system is designed to activate automatically when OpenAI estimates that a user is under 18 or when they identify themselves as being between 13 and 17. Parents will have access to controls including “Quiet Hours”, allowing them to limit when their teenagers can use the service. They will also be able to manage selected settings and receive notifications if their child discusses certain sensitive subjects. OpenAI’s move comes as technology companies face growing scrutiny over the impact of digital platforms on children. Meta has introduced additional protections for teenagers on its services, while governments around the world are debating restrictions on social media use among minors. Also read | Did Meta ‘hook’ children to Facebook, Instagram for profit? 29 US states take tech giant to trial For OpenAI, the issue carries particular significance. The company is already facing lawsuits alleging that ChatGPT contributed to harm involving children. Experts have also raised concerns about young people turning to conversational AI for emotional support or mental health advice. OpenAI said the new system is intended to make AI useful beyond traditional classroom settings. “We believe AI should expand educational opportunity, which is why we designed ChatGPT for Teens to support moments outside the classroom when help is not always available,” the company said. The teen-focused mode will include a study mode, homework reminders, quizzes and visual learning tools. A Pew Research Center study found that searching for information and getting homework help were among the most common uses of AI among US teenagers. OpenAI said age detection will combine self-reported information, account and behavioural signals and verification. If the system cannot confidently determine a user’s age, it will default to the safer setting.

<p>OpenAI has launched ChatGPT for Teens with parental controls, age checks and safeguards on risky topics, while adding study tools for users aged 13-17 amid growing AI safety concerns.</p>

ChatGPT for Teens? OpenAI rolls out new version with safety features – All you need to know

<p>The AI boom is creating an unexpected problem for technology companies: expensive memory. Zoho founder Sridhar Vembu says the situation has become difficult enough to affect how businesses operate, after some memory prices surged by as much as 500 per cent over the past year.</p><p>&nbsp;</p><p>Vembu shared his concerns on X after citing a report on the sharp increase in memory costs. He said Zoho had avoided raising prices so far, but rising memory and AI token costs were making that increasingly difficult. The warning comes as AI companies continue spending billions on data centres, increasing demand for advanced memory used in servers.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">&quot;Memory prices up 500% in 12 months and 10x the lowest level&quot;<br><br>Memory prices, along with AI token prices have made business very difficult. We have held back from raising prices but it is becoming hard. <br><br>A techncial note: for a long time, programming languages were designed with…</p>&mdash; Sridhar Vembu (@svembu) <a href="https://x.com/svembu/status/2089478740334248163?ref_src=twsrc%5Etfw">August 17, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>Why are memory prices rising so fast?</strong></h2><p>The biggest pressure is coming from AI infrastructure. Modern AI systems need huge amounts of memory, both to train models and to serve responses to users. Demand for high-bandwidth memory and server-grade DRAM has encouraged chipmakers to prioritise higher-value products, tightening supplies for other parts of the market. TrendForce says AI server demand is continuing to support memory prices in the third quarter of 2026. Tom's Hardware recently reported some dramatic retail price increases. A 128GB DDR5-6400 kit, for example, was selling for about $3,399, compared with a previous low of $329. That does not mean every memory chip has risen by 500 per cent. The figure refers to particular memory products and price measurements, so it should not be treated as a universal increase.</p><p>&nbsp;</p><h2><strong>Vembu says software may need to change</strong></h2><h2>&nbsp;</h2><p>For Vembu, the problem goes beyond expensive computer hardware. He argues that software developers have historically designed programming languages with the assumption that memory was relatively cheap and plentiful.</p><p>&nbsp;</p><p><strong>That assumption is becoming harder to maintain.</strong></p><p>Vembu says programmers should focus more heavily on memory-efficient languages and smarter compilers, including software used by AI systems. His argument is that better security and developer productivity should not come at the cost of excessive memory use. In other words, the memory shortage could eventually influence not just what computers cost, but how software itself is designed.</p><h2><strong>The AI boom is squeezing the wider tech industry</strong></h2><p>The pressure is already being felt beyond software. AI companies are expanding data-centre capacity at a rapid pace, while smartphone and PC manufacturers are competing for many of the same semiconductor resources. TrendForce forecasts conventional DRAM contract prices to rise 13–18 per cent quarter-on-quarter in Q3 2026, while NAND Flash prices are expected to increase 10-15 per cent.</p><p>&nbsp;</p><h2><strong>That creates a difficult trade-off for companies such as Zoho.</strong></h2><p>They can absorb higher infrastructure costs, raise prices for customers or redesign their software to use fewer resources.</p><p>&nbsp;</p><p>For Vembu, the third option may become increasingly important. The AI revolution is therefore creating a strange new reality for the technology industry: the race to build smarter machines is also making one of the basic resources those machines need much more expensive.</p>

Zoho founder Sridhar Vembu says surging memory and AI costs are making business increasingly difficult. Some DDR5 memory products have risen sharply over the past year as AI data-centre demand tightens supply, prompting calls for more memory-efficient software.


The AI boom is creating an unexpected problem for technology companies: expensive memory. Zoho founder Sridhar Vembu says the situation has become difficult enough to affect how businesses operate, after some memory prices surged by as much as 500 per cent over the past year. Vembu shared his concerns on X after citing a report on the sharp increase in memory costs. He said Zoho had avoided raising prices so far, but rising memory and AI token costs were making that increasingly difficult. The warning comes as AI companies continue spending billions on data centres, increasing demand for advanced memory used in servers.

<p>Zoho founder Sridhar Vembu says surging memory and AI costs are making business increasingly difficult. Some DDR5 memory products have risen sharply over the past year as AI data-centre demand tightens supply, prompting calls for more memory-efficient software.</p>

‘Free memory’ era is over: Zoho founder warns of a new problem created by AI

<p>Meta is facing one of its biggest legal challenges yet as a coalition of 29 US states accuses the technology giant of deliberately designing Facebook and Instagram to keep children hooked, while downplaying the risks associated with its platforms. The closely watched trial began in a federal court in Oakland, California, on Tuesday (Aug 18). Four states, including California, Colorado, Kentucky and New Jersey, are leading the case, alleging that Meta’s products contributed to anxiety, depression and other mental health problems among young users.</p><p>The states also accuse Meta of violating federal law by collecting and using children’s personal information improperly.</p><p>Opening the case for California, deputy attorney general Megan O’Neill alleged that Meta’s business model was to “hook the users, hold them for as long as they can, harvest their data, and then hide the truth from the public.”</p><p>“It worked especially well for kids,” O’Neill told the eight-member jury.</p><p>Meta rejected the allegations. The company’s lawyer, Paul Schmidt, acknowledged that some young people struggle with social media but argued that research does not establish a clear connection between adolescent social media use and poor wellbeing.</p><p>“They don’t believe they’re going to do well if people don’t like their service,” Schmidt said, referring to Meta’s leadership.</p><p>The case could have significant consequences for Facebook and Instagram. US District Judge Yvonne Gonzalez Rogers will ultimately decide Meta’s liability, while jurors are expected to issue an advisory verdict.</p><p>If Meta is found liable, the judge could impose civil penalties and order changes to the platforms. The states have proposed measures including removing likes and infinite scrolling, introducing time limits for younger users and strengthening restrictions on children under 13.</p><p>Former Meta safety engineer Arturo Bejar, who has previously criticised the company’s child-safety measures, was the first witness called by the states.</p><p>The trial is expected to last six weeks, with Meta CEO Mark Zuckerberg and Instagram chief Adam Mosseri among those expected to testify.<br>&nbsp;</p>

Meta faces a landmark US trial as 29 states accuse Facebook and Instagram of deliberately ‘hooking’ children, harming their wellbeing and exploiting their data for profit.

Meta is facing one of its biggest legal challenges yet as a coalition of 29 US states accuses the technology giant of deliberately designing Facebook and Instagram to keep children hooked, while downplaying the risks associated with its platforms. The closely watched trial began in a federal court in Oakland, California, on Tuesday (Aug 18). Four states, including California, Colorado, Kentucky and New Jersey, are leading the case, alleging that Meta’s products contributed to anxiety, depression and other mental health problems among young users. The states also accuse Meta of violating federal law by collecting and using children’s personal information improperly. Opening the case for California, deputy attorney general Megan O’Neill alleged that Meta’s business model was to “hook the users, hold them for as long as they can, harvest their data, and then hide the truth from the public.” “It worked especially well for kids,” O’Neill told the eight-member jury. Meta rejected the allegations. The company’s lawyer, Paul Schmidt, acknowledged that some young people struggle with social media but argued that research does not establish a clear connection between adolescent social media use and poor wellbeing. “They don’t believe they’re going to do well if people don’t like their service,” Schmidt said, referring to Meta’s leadership. The case could have significant consequences for Facebook and Instagram. US District Judge Yvonne Gonzalez Rogers will ultimately decide Meta’s liability, while jurors are expected to issue an advisory verdict. If Meta is found liable, the judge could impose civil penalties and order changes to the platforms. The states have proposed measures including removing likes and infinite scrolling, introducing time limits for younger users and strengthening restrictions on children under 13. Former Meta safety engineer Arturo Bejar, who has previously criticised the company’s child-safety measures, was the first witness called by the states. The trial is expected to last six weeks, with Meta CEO Mark Zuckerberg and Instagram chief Adam Mosseri among those expected to testify.

<p>Meta faces a landmark US trial as 29 states accuse Facebook and Instagram of deliberately ‘hooking’ children, harming their wellbeing and exploiting their data for profit.</p>

Did Meta ‘hook’ children to Facebook, Instagram for profit? 29 US states take tech giant to trial

<p>China has taken a major step forward in its push to build a reusable commercial space industry after startup LandSpace successfully landed the first stage of its Zhuque-3 rocket on Wednesday (Aug 18). The achievement puts LandSpace in a small group of private companies to have successfully recovered an orbital-class rocket booster, alongside SpaceX and Blue Origin. For China, the milestone marks progress in an area where the United States has built a significant lead.</p><p>Why this matters: The ability to recover and fly boosters again is seen as crucial to lowering launch costs and making frequent satellite launches commercially viable.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/trending/want-to-survive-the-apocalypse-this-swiss-firm-is-making-end-of-the-world-bunkers-for-billionaires-1787038088615"><strong>Want to survive the apocalypse? This Swiss firm is making end-of-the world bunkers for billionaires</strong></a></p><h2><strong>Second attempt ends in successful landing</strong></h2><p>The 66.1-metre Zhuque-3 lifted off from the Dongfeng Commercial Space Innovation Pilot Zone in northwestern China.</p><p>Its nine-engine first stage separated after the launch and travelled back to a landing site in Gansu province, around 390 kilometres southeast of the launch pad, according to Chinese state media.</p><p>The successful landing came on LandSpace's second attempt. The company's first reusable rocket attempt in December 2025 reached orbit but failed to complete the controlled landing.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">China launched the reusable rocket Zhuque-3 on Wednesday morning, achieving its first recovery of a rocket&#39;s first stage on land. <a href="https://x.com/hashtag/Zhuque?src=hash&amp;ref_src=twsrc%5Etfw">#Zhuque</a>-3 <a href="https://t.co/Sut9LgOoYs">pic.twitter.com/Sut9LgOoYs</a></p>&mdash; China Xinhua News (@XHNews) <a href="https://x.com/XHNews/status/2089871742068310332?ref_src=twsrc%5Etfw">August 19, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">MISSION SUCCESS | ZhuQue-3 Y2 Reusable Launch Vehicle Achieved Full Success in Orbital Insertion and First-Stage Recovery<br><br>On August 19, 2026, at 07:35 (UTC+8), the ZhuQue-3 (ZQ-3) Y2 reusable launch vehicle lifted off from the Dongfeng Commercial Space Innovation Pilot Zone.… <a href="https://t.co/fshijOxgtc">pic.twitter.com/fshijOxgtc</a></p>&mdash; LandSpace (@LandSpace_Tech) <a href="https://x.com/LandSpace_Tech/status/2089877715331809546?ref_src=twsrc%5Etfw">August 19, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>China's answer to Falcon 9</strong></h2><p>LandSpace has positioned Zhuque-3 as a Chinese competitor to Elon Musk's SpaceX Falcon 9. The rocket uses a stainless-steel structure, which the company says can withstand higher temperatures and could reduce manufacturing costs compared with the aluminium-lithium alloy used in Falcon 9.</p><p>It is powered by methane and liquid oxygen, a combination LandSpace says burns more cleanly than Falcon 9's liquid oxygen and kerosene system.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/trending/baba-vanga-s-2026-prophecy-2-predictions-already-came-true-3-terrifying-ones-remain-first-human-alien-contact-world-war-3-and-putin-s-exit-1786169922573"><strong>Baba Vanga's 2026 prophecy: 2 predictions 'already came true', 3 terrifying ones remain. Details inside</strong></a></p><p>For a one-time launch, Zhuque-3 can carry up to 14.2 tonnes into low Earth orbit, compared with 22.8 tonnes for Falcon 9, according to LandSpace. The company wants the Zhuque-3 booster to eventually be reused as many as 20 times.</p><h2><strong>LandSpace eyes rapid reuse</strong></h2><p>The next challenge is to prove that recovering a rocket can become a repeatable commercial operation. LandSpace says it plans to fly a recovered first-stage booster again within six months. That would be an important test of whether China can move beyond individual demonstration flights towards high-frequency launches.</p><p>SpaceX has already made booster reuse routine, launching Falcon 9 rockets roughly three times a week and flying recovered boosters repeatedly.</p><p>LandSpace is also seeking to raise 7.5 billion yuan, or about $1.11 billion, through a planned listing on Shanghai's STAR Market. Its updated prospectus says the company is targeting profitability by 2029.</p><h2><strong>China steps closer to the reusable launch market</strong></h2><p>Wednesday's landing was China's fourth attempt at recovering an orbital-class booster. The country has also been testing different recovery approaches. In July, China successfully demonstrated a net-based system for catching an experimental booster on a floating platform.<br>&nbsp;</p><p>&nbsp;</p>

China's private space race has taken a major leap. LandSpace has successfully landed the first stage of its Zhuque-3 rocket, moving the country closer to routine reusable launches and putting a new challenger into the race with SpaceX.

China has taken a major step forward in its push to build a reusable commercial space industry after startup LandSpace successfully landed the first stage of its Zhuque-3 rocket on Wednesday (Aug 18). The achievement puts LandSpace in a small group of private companies to have successfully recovered an orbital-class rocket booster, alongside SpaceX and Blue Origin. For China, the milestone marks progress in an area where the United States has built a significant lead. Why this matters: The ability to recover and fly boosters again is seen as crucial to lowering launch costs and making frequent satellite launches commercially viable. Also read | Want to survive the apocalypse? This Swiss firm is making end-of-the world bunkers for billionaires Second attempt ends in successful landing The 66.1-metre Zhuque-3 lifted off from the Dongfeng Commercial Space Innovation Pilot Zone in northwestern China. Its nine-engine first stage separated after the launch and travelled back to a landing site in Gansu province, around 390 kilometres southeast of the launch pad, according to Chinese state media. The successful landing came on LandSpace's second attempt. The company's first reusable rocket attempt in December 2025 reached orbit but failed to complete the controlled landing.

<p>China's private space race has taken a major leap. LandSpace has successfully landed the first stage of its Zhuque-3 rocket, moving the country closer to routine reusable launches and putting a new challenger into the race with SpaceX.</p>

China lands reusable rocket booster, closes gap with SpaceX and Blue Origin

<p>ChatGPT has introduced a new feature which allows it to track user clicks and keystrokes, which it will use to sharpen its AI model. The specification called Computer History on the desktop app on macOS has raised privacy concerns. Sharing the information on X, Ari Weinstein, an OpenAI product and engineering manager, said that it will “learn from everything you do on your computer.”</p><h2><strong>What can Computer History do?</strong></h2><p><br>As the name suggests, it creates a bank of everything you do on your desktop. It can scan your chats, the files you have viewed, name them, and even tell you if you shared them with anyone on messaging platforms, such as Slack. This seems like a whole lot of information to share with an AI tool, which is why some people are even calling it "creepy".</p><p>Also Read: <a href="https://www.wionews.com/trending/100mn-emails-500mn-messages-codes-and-more-everything-google-will-get-from-spirit-airlines-1787033199736"><strong>100mn emails, 500mn messages, codes, and more: Everything Google will get from Spirit Airlines</strong></a></p><h2><strong>OpenAI assures users about new ChatGPT feature</strong></h2><p><br>Meanwhile, OpenAI has said users do not need to worry, as it is an opt-in feature instead of an opt-out. Weinstein said that the tool will automatically ignore all content in incognito mode or private browser tabs. You can also choose to remove the apps that you do not want to be tracked. Users can also go through the AI’s "memory" and remove anything that you think shouldn't be there.</p><p>Also Read: <a href="https://www.wionews.com/trending/chatgpt-invoked-god-told-pastor-not-to-worry-about-his-symptoms-then-pulmonary-embolism-hit-1784869216858"><strong>ChatGPT invoked God, told pastor not to worry about his symptoms. Then pulmonary embolism hit</strong></a></p><p>&nbsp;</p><p>However, a disclaimer warns that “Computer History files can contain sensitive information”. They aren’t encrypted either, which can let other programs access them.</p><h2><strong>How does ChatGPT's Computer History help users?</strong></h2><p><br>The company stresses that everything it does is to benefit the user. It creates a timeline of their actions, which an AI agent uses to learn about your work and how you do it. The feature can then finish your tasks for you and also suggest automations and other skills. OpenAI’s Dominik Kundel, a developer experience engineer, says that the tool knows which messages to check. He added that a preview of how it thinks shows that it is scanning your Slack history.</p><h2><strong>Microsoft brought a similar feature</strong></h2><p>The feature is being compared to Microsoft's Windows Recall, which takes screenshots of the desktop at regular intervals and automatically scans text to place it in a searchable database. OpenAI's feature tracks clicks, keystrokes, and other inputs instead of taking screenshots. However, there is still a concern about it recording and seeing what it shouldn't.</p>

ChatGPT has a new feature which allows the AI tool to scan your keystrokes and mouse cursor to decode which files you have accessed and who you have chatted with in personal DMs. Users are calling it “creepy" and flagging it as a security risk.

ChatGPT has introduced a new feature which allows it to track user clicks and keystrokes, which it will use to sharpen its AI model. The specification called Computer History on the desktop app on macOS has raised privacy concerns. Sharing the information on X, Ari Weinstein, an OpenAI product and engineering manager, said that it will “learn from everything you do on your computer.” What can Computer History do? As the name suggests, it creates a bank of everything you do on your desktop. It can scan your chats, the files you have viewed, name them, and even tell you if you shared them with anyone on messaging platforms, such as Slack. This seems like a whole lot of information to share with an AI tool, which is why some people are even calling it "creepy". Also Read: 100mn emails, 500mn messages, codes, and more: Everything Google will get from Spirit Airlines OpenAI assures users about new ChatGPT feature Meanwhile, OpenAI has said users do not need to worry, as it is an opt-in feature instead of an opt-out. Weinstein said that the tool will automatically ignore all content in incognito mode or private browser tabs. You can also choose to remove the apps that you do not want to be tracked. Users can also go through the AI’s "memory" and remove anything that you think shouldn't be there. Also Read: ChatGPT invoked God, told pastor not to worry about his symptoms. Then pulmonary embolism hit However, a disclaimer warns that “Computer History files can contain sensitive information”. They aren’t encrypted either, which can let other programs access them. How does ChatGPT's Computer History help users? The company stresses that everything it does is to benefit the user. It creates a timeline of their actions, which an AI agent uses to learn about your work and how you do it. The feature can then finish your tasks for you and also suggest automations and other skills. OpenAI’s Dominik Kundel, a developer experience engineer, says that the tool knows which messages to check. He added that a preview of how it thinks shows that it is scanning your Slack history. Microsoft brought a similar feature The feature is being compared to Microsoft's Windows Recall, which takes screenshots of the desktop at regular intervals and automatically scans text to place it in a searchable database. OpenAI's feature tracks clicks, keystrokes, and other inputs instead of taking screenshots. However, there is still a concern about it recording and seeing what it shouldn't.

<p>ChatGPT has a new feature which allows the AI tool to scan your keystrokes and mouse cursor to decode which files you have accessed and who you have chatted with in personal DMs. Users are calling it “creepy" and flagging it as a security risk.</p>

ChatGPT's 'creepy' new feature spies on everything you do on your computer

<p>Apple may be preparing to give AirPods a pair of eyes. A short video discovered inside the macOS Tahoe 26.7 release candidate appears to show an unreleased pair of AirPods with cameras using Apple’s Visual Intelligence technology. In the demonstration, a person wearing the earbuds holds up a book. The system appears to recognise the book’s title, with the accompanying message suggesting users could ask Apple’s AI to save things they see for later. The leak is significant because it suggests Apple’s camera-equipped AirPods are moving beyond an experimental idea. However, Apple has not announced the product or confirmed that the leaked demonstration represents a final commercial device.</p><h2><strong>What can Apple’s camera AirPods actually see?</strong></h2><p>The leaked video does not show where the cameras are positioned on the earbuds. The AirPods shown also look broadly similar to Apple's existing designs.</p><p>&nbsp;</p><p>The important change is what the cameras appear to be used for. Rather than acting like tiny conventional cameras for taking photos and videos, the leaked demonstration suggests they would act as visual sensors for Visual Intelligence. That could allow AI to understand objects and information in the wearer's surroundings. Apple already describes Visual Intelligence as a way to learn about objects and places around you and take actions based on what the camera sees. That means future AirPods could potentially let users ask Siri questions about something they are looking at without having to take out an iPhone.</p><p>&nbsp;</p><h2><strong>There is a strange warning about your hair</strong></h2><p>The leaked demonstration contains another revealing detail.</p><p>Users could apparently receive a warning if something is blocking the AirPods' cameras. The message shown in the video tells the wearer to ensure the earbuds are not covered to get accurate information about their surroundings. That suggests Apple may be treating the cameras as an always-available input for AI rather than a feature users activate only to take pictures. The approach could make AirPods part of Apple's wider push towards ambient AI technology that can understand a user's surroundings without requiring them to constantly interact with a screen.</p><p>&nbsp;</p><h2><strong>B790 and B798: Apple may be testing more than one version</strong></h2><p>According to MacRumors, the leaked software contains references to an unreleased Apple product with the codename B790, along with the demonstration video. Another camera-equipped AirPods project, reportedly codenamed B798, has also surfaced in previous reports. That does not necessarily mean both products will reach consumers. Apple routinely tests multiple prototypes before deciding what eventually ships. Still, the appearance of a product-specific demonstration inside an Apple software release is notable.</p><p>&nbsp;</p><h2><strong>Could camera AirPods launch with iPhone 18 Pro?</strong></h2><p>Previous reports have suggested that Apple's camera-equipped AirPods could arrive before the end of 2026, potentially alongside the iPhone 18 Pro series at Apple's September event. That remains unconfirmed. The product could also receive a new name. AirPods Ultra has been mentioned as one possibility, although Apple has not confirmed the branding. Whatever the final name, the bigger story is what Apple appears to be building: AirPods that do not simply hear the world around you, but can potentially understand what they see.</p>

A leaked video hidden inside Apple’s macOS Tahoe 26.7 release candidate appears to show its rumoured camera-equipped AirPods using Visual Intelligence to recognise a book. The technology could turn AirPods into AI sensors that understand what users see around them.


Apple may be preparing to give AirPods a pair of eyes. A short video discovered inside the macOS Tahoe 26.7 release candidate appears to show an unreleased pair of AirPods with cameras using Apple’s Visual Intelligence technology. In the demonstration, a person wearing the earbuds holds up a book. The system appears to recognise the book’s title, with the accompanying message suggesting users could ask Apple’s AI to save things they see for later. The leak is significant because it suggests Apple’s camera-equipped AirPods are moving beyond an experimental idea. However, Apple has not announced the product or confirmed that the leaked demonstration represents a final commercial device. What can Apple’s camera AirPods actually see? The leaked video does not show where the cameras are positioned on the earbuds. The AirPods shown also look broadly similar to Apple's existing designs. The important change is what the cameras appear to be used for. Rather than acting like tiny conventional cameras for taking photos and videos, the leaked demonstration suggests they would act as visual sensors for Visual Intelligence. That could allow AI to understand objects and information in the wearer's surroundings. Apple already describes Visual Intelligence as a way to learn about objects and places around you and take actions based on what the camera sees. That means future AirPods could potentially let users ask Siri questions about something they are looking at without having to take out an iPhone. There is a strange warning about your hair The leaked demonstration contains another revealing detail. Users could apparently receive a warning if something is blocking the AirPods' cameras. The message shown in the video tells the wearer to ensure the earbuds are not covered to get accurate information about their surroundings. That suggests Apple may be treating the cameras as an always-available input for AI rather than a feature users activate only to take pictures. The approach could make AirPods part of Apple's wider push towards ambient AI technology that can understand a user's surroundings without requiring them to constantly interact with a screen. B790 and B798: Apple may be testing more than one version According to MacRumors, the leaked software contains references to an unreleased Apple product with the codename B790, along with the demonstration video. Another camera-equipped AirPods project, reportedly codenamed B798, has also surfaced in previous reports. That does not necessarily mean both products will reach consumers. Apple routinely tests multiple prototypes before deciding what eventually ships. Still, the appearance of a product-specific demonstration inside an Apple software release is notable. Could camera AirPods launch with iPhone 18 Pro? Previous reports have suggested that Apple's camera-equipped AirPods could arrive before the end of 2026, potentially alongside the iPhone 18 Pro series at Apple's September event. That remains unconfirmed. The product could also receive a new name. AirPods Ultra has been mentioned as one possibility, although Apple has not confirmed the branding. Whatever the final name, the bigger story is what Apple appears to be building: AirPods that do not simply hear the world around you, but can potentially understand what they see.

<p>A leaked video hidden inside Apple’s macOS Tahoe 26.7 release candidate appears to show its rumoured camera-equipped AirPods using Visual Intelligence to recognise a book. The technology could turn AirPods into AI sensors that understand what users see around them.</p>

Apple’s next AirPods could have cameras instead of just microphones: What we know

<p>&nbsp;</p><p>China’s humanoid robot race has produced another striking machine. Unitree Robotics has unveiled a new robot called “Superman”, which the company says can jump 2 metres from a standing position and reach a top speed of 12.66 metres per second. The reveal comes at a crucial moment for Unitree. The Hangzhou-based company is preparing to begin trading on Shanghai’s STAR Market after raising 6.1 billion yuan ($905 million) in an IPO that attracted extraordinary retail demand. Its retail offering was reportedly more than 8,000 times oversubscribed.</p><p>&nbsp;</p><h2><strong>Unitree’s ‘Superman’ can jump 2 metres</strong></h2><p>Unitree says it developed the new robot in just over three months. Its headline performance figures are unusual even for the rapidly advancing humanoid sector. The robot can reportedly perform a 2-metre standing jump and reach 12.66 m/s, or about 45.6 km/h. For comparison, Usain Bolt's recorded top speed during his 100-metre world-record run was around 12.4 m/s. However, the comparison should be treated carefully: a robot's brief peak speed is not the same as a human athlete's performance over a race. Unitree has also stressed that “Superman” is still a work in progress and could be improved in the coming months.</p><p>&nbsp;</p><h2><strong>Why Unitree is attracting so much attention</strong></h2><p>The robot reveal arrives just before Unitree's Shanghai debut, adding another dose of excitement around one of China's most closely watched robotics companies. Unitree has said it had produced and delivered about 18,000 bipedal humanoid robots across its models by July, highlighting its focus on manufacturing as well as demonstrations. The company has become particularly visible because its robots have been shown running, dancing and performing martial-arts movements. Its official history also records large-scale humanoid demonstrations, including performances involving dozens of robots. Unitree is backed by major Chinese technology companies, including Tencent, Alibaba and DeepSeek, further increasing its profile among investors.</p><p>&nbsp;</p><h2><strong>The IPO adds another layer to the robot race</strong></h2><p>Unitree's IPO is being closely watched because it offers investors one of the clearest public-market tests yet for China's humanoid-robot industry. The company priced its shares at 150.80 yuan each, raising about 6.1 billion yuan and implying a valuation of roughly $9 billion. That enthusiasm also comes with a warning. Humanoid robots remain an emerging market, and strong demonstrations do not automatically translate into mass commercial deployment. For Unitree, the next test is therefore bigger than how fast “Superman” can run. Investors will want to know whether China’s humanoid-robot frenzy can turn impressive machines into a sustainable business.</p>

China’s Unitree has unveiled “Superman”, a new humanoid robot that it says can jump 2 metres and reach 12.66 m/s. The reveal comes days before Unitree’s Shanghai IPO, which raised $905 million and attracted record retail investor demand.

China’s humanoid robot race has produced another striking machine. Unitree Robotics has unveiled a new robot called “Superman”, which the company says can jump 2 metres from a standing position and reach a top speed of 12.66 metres per second. The reveal comes at a crucial moment for Unitree. The Hangzhou-based company is preparing to begin trading on Shanghai’s STAR Market after raising 6.1 billion yuan ($905 million) in an IPO that attracted extraordinary retail demand. Its retail offering was reportedly more than 8,000 times oversubscribed. Unitree’s ‘Superman’ can jump 2 metres Unitree says it developed the new robot in just over three months. Its headline performance figures are unusual even for the rapidly advancing humanoid sector. The robot can reportedly perform a 2-metre standing jump and reach 12.66 m/s, or about 45.6 km/h. For comparison, Usain Bolt's recorded top speed during his 100-metre world-record run was around 12.4 m/s. However, the comparison should be treated carefully: a robot's brief peak speed is not the same as a human athlete's performance over a race. Unitree has also stressed that “Superman” is still a work in progress and could be improved in the coming months. Why Unitree is attracting so much attention The robot reveal arrives just before Unitree's Shanghai debut, adding another dose of excitement around one of China's most closely watched robotics companies. Unitree has said it had produced and delivered about 18,000 bipedal humanoid robots across its models by July, highlighting its focus on manufacturing as well as demonstrations. The company has become particularly visible because its robots have been shown running, dancing and performing martial-arts movements. Its official history also records large-scale humanoid demonstrations, including performances involving dozens of robots. Unitree is backed by major Chinese technology companies, including Tencent, Alibaba and DeepSeek, further increasing its profile among investors. The IPO adds another layer to the robot race Unitree's IPO is being closely watched because it offers investors one of the clearest public-market tests yet for China's humanoid-robot industry. The company priced its shares at 150.80 yuan each, raising about 6.1 billion yuan and implying a valuation of roughly $9 billion. That enthusiasm also comes with a warning. Humanoid robots remain an emerging market, and strong demonstrations do not automatically translate into mass commercial deployment. For Unitree, the next test is therefore bigger than how fast “Superman” can run. Investors will want to know whether China’s humanoid-robot frenzy can turn impressive machines into a sustainable business.

<p>China’s Unitree has unveiled “Superman”, a new humanoid robot that it says can jump 2 metres and reach 12.66 m/s. The reveal comes days before Unitree’s Shanghai IPO, which raised $905 million and attracted record retail investor demand.</p>

Newly launched Unitree robot can run faster than Usain Bolt: Here’s what makes it different

<p>With the advent of time in the drone age, electronic warfare has become considerably more capable than public commentary typically acknowledges. Along with electronic warfare, armour, fortifications, missile defences, electronic warfare and deception have preserved combat power by preserving the force’s freedom to act. This has not only prepared soldiers for potential war, but has also given the military a purpose: to preserve freedom of action through manoeuvrability and to fight in a way that imposes their will.</p><p><br>For over a hundred years, different nation always planned and built their militaries with quantity, equipping foot soldiers with body armour so that they could keep fighting even under direct engagement. Later, after armour got technically advanced, equipment to launch in the air or on land was fitted with heavier plating and active defence systems to keep moving while taking fire. In addition, Naval vessels were designed with multiple layers of missile defence so they could function in hostile waters.</p><p><br>Now, all the war from face-to-face or without human presence in the armour's launcher, it has shifted to drone technology, reshaping the modern battlefield. Defence industry leaders noted that electronic warfare has moved from a supporting function to a core pillar of national security.</p><p><br>In India, the push for indigenous technology has become central to staying ahead of the threat. The rise of cheap, commercially available drone technology has fundamentally altered the calculus of conflict. Capabilities that once demanded expensive missile systems or manned aircraft can now be replicated with a few thousand dollars of off-the-shelf hardware, giving smaller forces and non-state actors access to surveillance, precision-strike, and electronic-warfare capabilities once reserved for major militaries. Industry estimates peg the global military drone market to reach $80–90 billion in annual revenue by 2030.</p><p>&nbsp;</p><p><strong>Also read: </strong><a href="https://www.wionews.com/india-news/wion-exclusive-how-energy-productivity-can-power-india-s-next-phase-of-industrial-growth-1786784297557">WION Exclusive: How can energy productivity power India’s next phase of industrial growth</a></p><h3>Experts on the rise of drone technology</h3><p>Reacting to the drone capabilities, "Amardeep Singh, Founder &amp; CEO, Armory," The nature of modern conflict has changed, and the proliferation of drones is at the centre of that shift. What used to require expensive missiles or manned aircraft can now be achieved with a few thousand dollars’ worth of commercial hardware. Today's battlefield is defined by intelligent, low-cost, and highly adaptable unmanned systems capable of surveillance, targeting, precision strikes, and electronic warfare. The global military drone market is projected to generate annual revenues of USD 80-90 billion by 2030. As drones become more sophisticated through frequency-hopping communication, encrypted data links, GPS-denied navigation, and increasingly autonomous flight modes that do not rely on a live signal to the operator at all, counter-drone technologies must evolve even faster to catch up with it all. A hostile drone can go from being detected to causing damage in under a minute. Electronic Warfare systems have to detect, classify, and respond within that same narrow window, putting enormous pressure on the speed of decision-making architecture."</p><p><br>"Addressing these evolving threats requires complete ownership of the technology stack rather than dependence on imported subsystems. By designing, developing, and manufacturing our counter-drone systems entirely in Bharat, we, at Armoury, have built the agility to rapidly prototype, test, and deploy new capabilities based on real-time operational feedback. Our flagship system, SURGE, progressed from concept to a fully operational counter-drone platform in just six months, while our AI-driven operating architecture, Samaritan OS, enables autonomous threat detection, analysis, and precision response.</p><p><br>As India strengthens its defence capabilities, building sovereign electronic warfare technologies will be essential not only for safeguarding military assets and critical infrastructure but also for positioning the country as a global leader in next-generation defence systems. The future of drone defence will belong to nations that can innovate faster than the threats they face," Singh added.</p><p><br>Venkatesh Sai, Founder &amp; CTO of ZUPPA Geo Navigation Technologies, echoed the sentiment about the drones, considering them more valuable and more dangerous after they grow more autonomous and widely accessible. He stated that modern defence forces can no longer rely on simply detecting an incoming drone; they need the ability to identify, track, analyse, and respond in real time. He noted that electronic warfare allows forces to monitor the electromagnetic spectrum and disrupt hostile signals without depending solely on conventional weapons, allowing them to skip unnecessary escalation.</p><p><br>Venkatesh Sai said, "The advanced evolution of drone technology has transformed the way nations approach security and modern warfare. Drones have become more intelligent, autonomous, and widely available, making them valuable assets on one hand and potential threats on the other. As this landscape continues to evolve, electronic warfare has become one of the most critical capabilities for ensuring mission success and national security.<br>In today's operational environment, it is no longer enough to simply detect an incoming drone. Defence forces must be able to identify, track, analyse, and respond to threats quickly and accurately. Electronic warfare provides that capability by enabling forces to monitor the electromagnetic spectrum, disrupt hostile communications, and counter drone threats without relying solely on conventional weapons. This not only improves operational efficiency but also reduces the risk of unnecessary escalation."</p><p><br>"At Zuppa, we believe that the future of defence lies in building intelligent, secure, and resilient technologies that can adapt to changing battlefield conditions. As drone systems become more advanced, it is equally important to develop electronic warfare solutions that are agile, reliable, and capable of protecting critical assets in real time. Innovation in this space will play a defining role in strengthening defence preparedness.<br>India has made significant progress in developing indigenous defence technologies, and electronic warfare will remain a key focus area as the country advances towards greater self-reliance. Building homegrown capabilities in this domain will not only strengthen national security but also position India as a global technology leader in next-generation defence solutions. The future battlefield will be shaped by information, speed, and technological superiority. Electronic warfare is no longer a supporting capability; now it has become a strategic necessity. By investing in innovation and indigenous technologies today, we can build a safer, stronger, and more secure tomorrow," he added.</p><p>&nbsp;</p>

The rise of cheap, commercially available drone technology has fundamentally altered the calculus of conflict. Capabilities that once demanded expensive missile systems or manned aircraft can now be replicated with a few thousand dollars of off-the-shelf hardware.

With the advent of time in the drone age, electronic warfare has become considerably more capable than public commentary typically acknowledges. Along with electronic warfare, armour, fortifications, missile defences, electronic warfare and deception have preserved combat power by preserving the force’s freedom to act. This has not only prepared soldiers for potential war, but has also given the military a purpose: to preserve freedom of action through manoeuvrability and to fight in a way that imposes their will. For over a hundred years, different nation always planned and built their militaries with quantity, equipping foot soldiers with body armour so that they could keep fighting even under direct engagement. Later, after armour got technically advanced, equipment to launch in the air or on land was fitted with heavier plating and active defence systems to keep moving while taking fire. In addition, Naval vessels were designed with multiple layers of missile defence so they could function in hostile waters. Now, all the war from face-to-face or without human presence in the armour's launcher, it has shifted to drone technology, reshaping the modern battlefield. Defence industry leaders noted that electronic warfare has moved from a supporting function to a core pillar of national security. In India, the push for indigenous technology has become central to staying ahead of the threat. The rise of cheap, commercially available drone technology has fundamentally altered the calculus of conflict. Capabilities that once demanded expensive missile systems or manned aircraft can now be replicated with a few thousand dollars of off-the-shelf hardware, giving smaller forces and non-state actors access to surveillance, precision-strike, and electronic-warfare capabilities once reserved for major militaries. Industry estimates peg the global military drone market to reach $80–90 billion in annual revenue by 2030. Also read: WION Exclusive: How can energy productivity power India’s next phase of industrial growth Experts on the rise of drone technology Reacting to the drone capabilities, "Amardeep Singh, Founder & CEO, Armory," The nature of modern conflict has changed, and the proliferation of drones is at the centre of that shift. What used to require expensive missiles or manned aircraft can now be achieved with a few thousand dollars’ worth of commercial hardware. Today's battlefield is defined by intelligent, low-cost, and highly adaptable unmanned systems capable of surveillance, targeting, precision strikes, and electronic warfare. The global military drone market is projected to generate annual revenues of USD 80-90 billion by 2030. As drones become more sophisticated through frequency-hopping communication, encrypted data links, GPS-denied navigation, and increasingly autonomous flight modes that do not rely on a live signal to the operator at all, counter-drone technologies must evolve even faster to catch up with it all. A hostile drone can go from being detected to causing damage in under a minute. Electronic Warfare systems have to detect, classify, and respond within that same narrow window, putting enormous pressure on the speed of decision-making architecture." "Addressing these evolving threats requires complete ownership of the technology stack rather than dependence on imported subsystems. By designing, developing, and manufacturing our counter-drone systems entirely in Bharat, we, at Armoury, have built the agility to rapidly prototype, test, and deploy new capabilities based on real-time operational feedback. Our flagship system, SURGE, progressed from concept to a fully operational counter-drone platform in just six months, while our AI-driven operating architecture, Samaritan OS, enables autonomous threat detection, analysis, and precision response. As India strengthens its defence capabilities, building sovereign electronic warfare technologies will be essential not only for safeguarding military assets and critical infrastructure but also for positioning the country as a global leader in next-generation defence systems. The future of drone defence will belong to nations that can innovate faster than the threats they face," Singh added. Venkatesh Sai, Founder & CTO of ZUPPA Geo Navigation Technologies, echoed the sentiment about the drones, considering them more valuable and more dangerous after they grow more autonomous and widely accessible. He stated that modern defence forces can no longer rely on simply detecting an incoming drone; they need the ability to identify, track, analyse, and respond in real time. He noted that electronic warfare allows forces to monitor the electromagnetic spectrum and disrupt hostile signals without depending solely on conventional weapons, allowing them to skip unnecessary escalation. Venkatesh Sai said, "The advanced evolution of drone technology has transformed the way nations approach security and modern warfare. Drones have become more intelligent, autonomous, and widely available, making them valuable assets on one hand and potential threats on the other. As this landscape continues to evolve, electronic warfare has become one of the most critical capabilities for ensuring mission success and national security. In today's operational environment, it is no longer enough to simply detect an incoming drone. Defence forces must be able to identify, track, analyse, and respond to threats quickly and accurately. Electronic warfare provides that capability by enabling forces to monitor the electromagnetic spectrum, disrupt hostile communications, and counter drone threats without relying solely on conventional weapons. This not only improves operational efficiency but also reduces the risk of unnecessary escalation." "At Zuppa, we believe that the future of defence lies in building intelligent, secure, and resilient technologies that can adapt to changing battlefield conditions. As drone systems become more advanced, it is equally important to develop electronic warfare solutions that are agile, reliable, and capable of protecting critical assets in real time. Innovation in this space will play a defining role in strengthening defence preparedness. India has made significant progress in developing indigenous defence technologies, and electronic warfare will remain a key focus area as the country advances towards greater self-reliance. Building homegrown capabilities in this domain will not only strengthen national security but also position India as a global technology leader in next-generation defence solutions. The future battlefield will be shaped by information, speed, and technological superiority. Electronic warfare is no longer a supporting capability; now it has become a strategic necessity. By investing in innovation and indigenous technologies today, we can build a safer, stronger, and more secure tomorrow," he added.

<p>The rise of cheap, commercially available drone technology has fundamentally altered the calculus of conflict. Capabilities that once demanded expensive missile systems or manned aircraft can now be replicated with a few thousand dollars of off-the-shelf hardware.</p>

The growing importance of electronic warfare in the drone age: WION Exclusive

<p>Apple’s iPhone 18 Pro Max is shaping up to be one of the biggest iPhone launches of 2026. The flagship is expected to arrive in September alongside the iPhone 18 Pro and Apple’s first foldable iPhone, although Apple has not confirmed the launch date or specifications. The biggest changes could be hidden inside the phone. Leaks point to Apple’s A20 Pro chip built using a 2nm process, a significantly larger battery and a new camera system that could finally bring variable aperture to the iPhone.</p><p>&nbsp;</p><h2><strong>iPhone 18 Pro Max camera: The biggest change?</strong></h2><p>The iPhone 18 Pro Max is expected to retain a triple-camera layout, but the main camera could receive an important upgrade. A leaked diagnostic log reportedly points to a new Sony IMX905 main sensor with variable aperture support. Variable aperture allows a camera to physically control how much light enters the lens. It can improve exposure control and give photographers more control over depth of field. The reported camera setup includes a 48MP main camera, 48MP ultra-wide camera and 48MP telephoto camera. A 24MP front camera is also widely rumoured. These details remain unconfirmed, however, and the leaked information should not be treated as Apple's final specification.</p><p>&nbsp;</p><p><strong>2nm A20 Pro chip and a much bigger battery</strong>&nbsp;</p><p><br>Under the hood, the iPhone 18 Pro Max is expected to use the A20 Pro, Apple's next-generation flagship chip. Reports suggest it will be manufactured using TSMC's 2nm process, potentially improving both performance and power efficiency compared with the current generation.</p><p>&nbsp;</p><h2><strong>The battery could be another major upgrade.</strong></h2><p>Recent regulatory filings reportedly point to a 5,567mAh rated battery capacity for the US version, while the China version is listed at 5,391mAh. That would represent a substantial increase over the iPhone 17 Pro Max. A larger battery combined with a more efficient 2nm processor could mean longer real-world battery life, although that cannot be confirmed until Apple releases the phone and independent testing begins.</p><p>&nbsp;</p><h2><strong>iPhone 18 Pro Max display, design and price</strong></h2><p>The Pro Max is expected to retain a 6.9-inch display, with rumours pointing to improved LTPO+ technology and a smaller Dynamic Island. The overall rear design is also expected to remain close to the iPhone 17 Pro generation. Apple is also expected to introduce its C2 modem in many markets, while the Pro models could receive other connectivity improvements. As for India, the leaked figure of Rs 1,52,900 for a 256GB model should be treated cautiously. There are also reports that rising component costs could push iPhone 18 Pro pricing higher. The launch is expected in September 2026, but Apple has yet to announce an official date. The standard iPhone 18 is reportedly being delayed until spring 2027, making the Pro Max one of the main stars of Apple's September event.</p>

Apple’s iPhone 18 Pro Max is expected in September 2026 with a 2nm A20 Pro chip, larger battery, 48MP cameras and a possible variable-aperture main camera. Leaks also point to a smaller Dynamic Island and a potentially higher India price.

Apple’s iPhone 18 Pro Max is shaping up to be one of the biggest iPhone launches of 2026. The flagship is expected to arrive in September alongside the iPhone 18 Pro and Apple’s first foldable iPhone, although Apple has not confirmed the launch date or specifications. The biggest changes could be hidden inside the phone. Leaks point to Apple’s A20 Pro chip built using a 2nm process, a significantly larger battery and a new camera system that could finally bring variable aperture to the iPhone. iPhone 18 Pro Max camera: The biggest change? The iPhone 18 Pro Max is expected to retain a triple-camera layout, but the main camera could receive an important upgrade. A leaked diagnostic log reportedly points to a new Sony IMX905 main sensor with variable aperture support. Variable aperture allows a camera to physically control how much light enters the lens. It can improve exposure control and give photographers more control over depth of field. The reported camera setup includes a 48MP main camera, 48MP ultra-wide camera and 48MP telephoto camera. A 24MP front camera is also widely rumoured. These details remain unconfirmed, however, and the leaked information should not be treated as Apple's final specification. 2nm A20 Pro chip and a much bigger battery Under the hood, the iPhone 18 Pro Max is expected to use the A20 Pro, Apple's next-generation flagship chip. Reports suggest it will be manufactured using TSMC's 2nm process, potentially improving both performance and power efficiency compared with the current generation. The battery could be another major upgrade. Recent regulatory filings reportedly point to a 5,567mAh rated battery capacity for the US version, while the China version is listed at 5,391mAh. That would represent a substantial increase over the iPhone 17 Pro Max. A larger battery combined with a more efficient 2nm processor could mean longer real-world battery life, although that cannot be confirmed until Apple releases the phone and independent testing begins. iPhone 18 Pro Max display, design and price The Pro Max is expected to retain a 6.9-inch display, with rumours pointing to improved LTPO+ technology and a smaller Dynamic Island. The overall rear design is also expected to remain close to the iPhone 17 Pro generation. Apple is also expected to introduce its C2 modem in many markets, while the Pro models could receive other connectivity improvements. As for India, the leaked figure of Rs 1,52,900 for a 256GB model should be treated cautiously. There are also reports that rising component costs could push iPhone 18 Pro pricing higher. The launch is expected in September 2026, but Apple has yet to announce an official date. The standard iPhone 18 is reportedly being delayed until spring 2027, making the Pro Max one of the main stars of Apple's September event.

<p>Apple’s iPhone 18 Pro Max is expected in September 2026 with a 2nm A20 Pro chip, larger battery, 48MP cameras and a possible variable-aperture main camera. Leaks also point to a smaller Dynamic Island and a potentially higher India price.</p>

iPhone 18 Pro Max could be Apple’s biggest upgrade in years: Here’s what to expect

<p>Anthropic CEO Dario Amodei believes the biggest impact of powerful artificial intelligence may not be chatbots or coding, but medicine. He has argued that AI could eventually help scientists prevent and treat most diseases, potentially accelerating decades of biological research into just a few years. Amodei recently defended this optimistic view while responding to criticism that his public messaging focuses too heavily on AI risks. He pointed to his 2024 essay Machines of Loving Grace, which laid out his vision for how advanced AI could transform biology, medicine and human health.</p><p>&nbsp;</p><h2><strong>How AI could speed up medical discoveries</strong></h2><p>Amodei's argument goes beyond using AI to analyse medical records or scientific papers. He believes powerful AI could eventually perform, direct and improve much of the work currently done by biologists. That could include proposing hypotheses, designing experiments, analysing results and deciding what researchers should test next. His central prediction is striking: powerful AI could increase the rate of important biological discoveries by at least 10 times, potentially delivering what would otherwise have been 50 to 100 years of progress within five to 10 years. The idea is already influencing Anthropic's work. The company launched an AI for Science programme focused on helping researchers use its models for biology, genetic research and drug discovery.</p><p>&nbsp;</p><h2><strong>Cancer, Alzheimer’s and other diseases</strong></h2><p>In his essay, Amodei outlined several areas where he believes AI-accelerated science could make a major difference.</p><p>&nbsp;</p><p>These include better prevention and treatment of infectious diseases, major advances against cancer, cures for genetic disorders and improved treatment for conditions such as heart disease and diabetes. He also identified Alzheimer's disease as a problem that could benefit from better biological measurement and understanding. More radically, he suggested that breakthroughs in ageing research could eventually contribute to a major increase in human lifespan. But these are forecasts, not established medical outcomes. Even extremely capable AI cannot instantly remove the need for laboratory experiments, clinical trials, manufacturing and regulatory approval.</p><p>&nbsp;</p><h2><strong>Why Amodei says this matters personally</strong></h2><p>For Amodei, the argument is not purely theoretical. He has spoken about losing his father to hepatitis C only a few years before direct-acting antiviral drugs became available. Modern treatments such as sofosbuvir can cure most patients with hepatitis C.</p><p>&nbsp;</p><p>That experience shapes his belief that timing matters in medical research. A breakthrough arriving years earlier can determine whether a patient gets a chance to benefit from it. The more immediate reality is more measured. In 2026, AI is already being used to help researchers analyse biological data, generate hypotheses and accelerate drug discovery, but Amodei himself has acknowledged that his earlier vision of achieving 10 years of scientific progress every year has not yet been realised. Researchers still face limits involving model capability, laboratory infrastructure, regulation and the physical speed of experiments. The question, then, is no longer simply whether AI can help scientists. It is how much faster science can move when AI becomes capable of doing far more of the research itself.</p>

Anthropic CEO Dario Amodei believes powerful AI could dramatically accelerate biological research, potentially compressing decades of medical progress into just a few years. But the prediction is a long-term vision, not a promise that AI will cure diseases on a fixed timeline.

Anthropic CEO Dario Amodei believes the biggest impact of powerful artificial intelligence may not be chatbots or coding, but medicine. He has argued that AI could eventually help scientists prevent and treat most diseases, potentially accelerating decades of biological research into just a few years. Amodei recently defended this optimistic view while responding to criticism that his public messaging focuses too heavily on AI risks. He pointed to his 2024 essay Machines of Loving Grace, which laid out his vision for how advanced AI could transform biology, medicine and human health. How AI could speed up medical discoveries Amodei's argument goes beyond using AI to analyse medical records or scientific papers. He believes powerful AI could eventually perform, direct and improve much of the work currently done by biologists. That could include proposing hypotheses, designing experiments, analysing results and deciding what researchers should test next. His central prediction is striking: powerful AI could increase the rate of important biological discoveries by at least 10 times, potentially delivering what would otherwise have been 50 to 100 years of progress within five to 10 years. The idea is already influencing Anthropic's work. The company launched an AI for Science programme focused on helping researchers use its models for biology, genetic research and drug discovery. Cancer, Alzheimer’s and other diseases In his essay, Amodei outlined several areas where he believes AI-accelerated science could make a major difference. These include better prevention and treatment of infectious diseases, major advances against cancer, cures for genetic disorders and improved treatment for conditions such as heart disease and diabetes. He also identified Alzheimer's disease as a problem that could benefit from better biological measurement and understanding. More radically, he suggested that breakthroughs in ageing research could eventually contribute to a major increase in human lifespan. But these are forecasts, not established medical outcomes. Even extremely capable AI cannot instantly remove the need for laboratory experiments, clinical trials, manufacturing and regulatory approval. Why Amodei says this matters personally For Amodei, the argument is not purely theoretical. He has spoken about losing his father to hepatitis C only a few years before direct-acting antiviral drugs became available. Modern treatments such as sofosbuvir can cure most patients with hepatitis C. That experience shapes his belief that timing matters in medical research. A breakthrough arriving years earlier can determine whether a patient gets a chance to benefit from it. The more immediate reality is more measured. In 2026, AI is already being used to help researchers analyse biological data, generate hypotheses and accelerate drug discovery, but Amodei himself has acknowledged that his earlier vision of achieving 10 years of scientific progress every year has not yet been realised. Researchers still face limits involving model capability, laboratory infrastructure, regulation and the physical speed of experiments. The question, then, is no longer simply whether AI can help scientists. It is how much faster science can move when AI becomes capable of doing far more of the research itself.

<p>Anthropic CEO Dario Amodei believes powerful AI could dramatically accelerate biological research, potentially compressing decades of medical progress into just a few years. But the prediction is a long-term vision, not a promise that AI will cure diseases on a fixed timeline.</p>

100 years of medical progress in just 10, Anthropic CEO Dario Amodei says

<p>&nbsp;</p><p>Anthropic has started watermarking text generated by Claude, but users will not see any obvious mark. Instead, the AI company is embedding an invisible statistical pattern into the way Claude chooses words. That pattern can later be analysed to estimate whether Claude produced the text. The move is significant because it could make AI-generated text easier to identify without changing how it looks to readers. Anthropic says the system is being introduced globally as it responds to transparency requirements under the European Union's AI Act.</p><p>&nbsp;</p><h2><strong>How does Claude's invisible watermark work?</strong></h2><p>Claude generates text one token at a time. At many points, several words could fit naturally into a sentence. Anthropic's system uses those choices to create a statistical fingerprint. A secret key influences which suitable token Claude selects, subtly changing the distribution of words without adding visible characters or labels. A sufficiently long passage can therefore contain a pattern that a detector can test against the key. The result is a probability that Claude was involved in producing the text, rather than a simple visible stamp. Anthropic says the watermark should not noticeably affect the quality, creativity or readability of Claude's responses. The approach is related to SynthID-Text, a watermarking technique developed by Google DeepMind and described in research published in Nature.</p><p>&nbsp;</p><h2><strong>Can the watermark identify a Claude user?</strong></h2><p>Not by itself. The watermark is designed to indicate that Claude was involved in generating or processing text. It is not a name tag containing the user's identity. It also does not prove that every word was written by AI. The system works statistically, so detection depends on having enough text and a detectable signal.</p><p>This distinction matters for students, journalists, researchers and professionals who use Claude as an editing or writing assistant. Anthropic has also acknowledged limitations. Highly precise passages, including some factual statements and code, give the model fewer opportunities to alter token choices without risking accuracy. That means the watermark may be weaker in such material.</p><p>&nbsp;</p><h2><strong>What happens if you edit Claude's text?</strong></h2><p>The watermark is designed to survive common actions such as copying, pasting and minor editing or proofreading. But it is not an unbreakable digital seal. Major rewriting can disrupt the statistical pattern. An important limitation is also the reverse: text without a detectable watermark cannot automatically be considered human-written.</p><p>Anthropic says it plans to provide detection tools, including an API that can allow users and third parties to check for the watermark. The bigger change is clear: AI companies are moving towards systems where generated content can carry an invisible digital identity, potentially making AI provenance a normal part of writing online.</p>

Anthropic is adding invisible statistical watermarks to Claude-generated text. The hidden pattern can help detect whether Claude was involved, even after minor edits. The move is linked to EU AI transparency rules and is being applied globally.

Anthropic has started watermarking text generated by Claude, but users will not see any obvious mark. Instead, the AI company is embedding an invisible statistical pattern into the way Claude chooses words. That pattern can later be analysed to estimate whether Claude produced the text. The move is significant because it could make AI-generated text easier to identify without changing how it looks to readers. Anthropic says the system is being introduced globally as it responds to transparency requirements under the European Union's AI Act. How does Claude's invisible watermark work? Claude generates text one token at a time. At many points, several words could fit naturally into a sentence. Anthropic's system uses those choices to create a statistical fingerprint. A secret key influences which suitable token Claude selects, subtly changing the distribution of words without adding visible characters or labels. A sufficiently long passage can therefore contain a pattern that a detector can test against the key. The result is a probability that Claude was involved in producing the text, rather than a simple visible stamp. Anthropic says the watermark should not noticeably affect the quality, creativity or readability of Claude's responses. The approach is related to SynthID-Text, a watermarking technique developed by Google DeepMind and described in research published in Nature. Can the watermark identify a Claude user? Not by itself. The watermark is designed to indicate that Claude was involved in generating or processing text. It is not a name tag containing the user's identity. It also does not prove that every word was written by AI. The system works statistically, so detection depends on having enough text and a detectable signal. This distinction matters for students, journalists, researchers and professionals who use Claude as an editing or writing assistant. Anthropic has also acknowledged limitations. Highly precise passages, including some factual statements and code, give the model fewer opportunities to alter token choices without risking accuracy. That means the watermark may be weaker in such material. What happens if you edit Claude's text? The watermark is designed to survive common actions such as copying, pasting and minor editing or proofreading. But it is not an unbreakable digital seal. Major rewriting can disrupt the statistical pattern. An important limitation is also the reverse: text without a detectable watermark cannot automatically be considered human-written. Anthropic says it plans to provide detection tools, including an API that can allow users and third parties to check for the watermark. The bigger change is clear: AI companies are moving towards systems where generated content can carry an invisible digital identity, potentially making AI provenance a normal part of writing online.

<p>Anthropic is adding invisible statistical watermarks to Claude-generated text. The hidden pattern can help detect whether Claude was involved, even after minor edits. The move is linked to EU AI transparency rules and is being applied globally.</p>

Claude now has an invisible watermark: What Anthropic's new AI text system means

<p>Google is bringing its new Fitbit Air fitness tracker to India in October 2026, giving users a different take on wearable health tracking. Unlike a smartwatch or traditional fitness band, Fitbit Air has no screen. Instead, it quietly collects health and activity data while users view their information through the Google Health app. Google has not yet announced the exact Indian price or launch date. In the US, Fitbit Air starts at $99.99, while Indian retail listings have appeared at considerably higher prices, so the final official price will be important for buyers.</p><p>&nbsp;</p><h2>Fitbit Air has no screen and that is the point</h2><p>Fitbit Air is designed to be worn continuously without the distractions of a display. It weighs about 5.2 grams without the band and uses a textile band with a stainless-steel buckle. The tracker itself is made partly from recycled polycarbonate and PBT plastics. The device packs an optical heart-rate monitor, a three-axis accelerometer and gyroscope, red and infrared sensors for SpO2 tracking, a temperature sensor and a vibration motor. It can store seven days of detailed motion data, with heart-rate readings recorded at two-second intervals.</p><p>&nbsp;</p><h2><strong>What can Fitbit Air track?</strong></h2><p>The tracker supports 24/7 heart-rate monitoring, resting heart rate, heart-rate variability, SpO2, sleep stages and sleep duration. It can also track steps, distance, calories and Active Zone Minutes. Google says Fitbit Air can monitor heart rhythm while users are resting or sleeping and look for signs associated with atrial fibrillation. The wearable also works with Google's Health Coach, which uses Gemini to provide personalised fitness and sleep guidance. Some coaching features require a Google Health Premium membership.</p><p>&nbsp;</p><h2><strong>Seven-day battery and Android, iPhone support</strong></h2><p>Battery life is rated at up to seven days, with a full charge taking about 90 minutes. Google also says five minutes of charging can provide up to a day's battery life. Fitbit Air supports Android 11 or newer and iOS 16.4 or newer, with Bluetooth Low Energy connectivity and a syncing range of up to 30 feet. For Indian buyers, the biggest question now is price. Google has confirmed the October launch, but until the company announces the official Indian price, the figures seen on online listings should not be treated as final.</p>

Google will launch Fitbit Air in India in October 2026. The screenless fitness tracker offers 24/7 heart-rate tracking, SpO2, sleep monitoring and up to seven days of battery life. Google has not yet announced the official Indian price or exact launch date.

Google is bringing its new Fitbit Air fitness tracker to India in October 2026, giving users a different take on wearable health tracking. Unlike a smartwatch or traditional fitness band, Fitbit Air has no screen. Instead, it quietly collects health and activity data while users view their information through the Google Health app. Google has not yet announced the exact Indian price or launch date. In the US, Fitbit Air starts at $99.99, while Indian retail listings have appeared at considerably higher prices, so the final official price will be important for buyers. Fitbit Air has no screen and that is the point Fitbit Air is designed to be worn continuously without the distractions of a display. It weighs about 5.2 grams without the band and uses a textile band with a stainless-steel buckle. The tracker itself is made partly from recycled polycarbonate and PBT plastics. The device packs an optical heart-rate monitor, a three-axis accelerometer and gyroscope, red and infrared sensors for SpO2 tracking, a temperature sensor and a vibration motor. It can store seven days of detailed motion data, with heart-rate readings recorded at two-second intervals. What can Fitbit Air track? The tracker supports 24/7 heart-rate monitoring, resting heart rate, heart-rate variability, SpO2, sleep stages and sleep duration. It can also track steps, distance, calories and Active Zone Minutes. Google says Fitbit Air can monitor heart rhythm while users are resting or sleeping and look for signs associated with atrial fibrillation. The wearable also works with Google's Health Coach, which uses Gemini to provide personalised fitness and sleep guidance. Some coaching features require a Google Health Premium membership. Seven-day battery and Android, iPhone support Battery life is rated at up to seven days, with a full charge taking about 90 minutes. Google also says five minutes of charging can provide up to a day's battery life. Fitbit Air supports Android 11 or newer and iOS 16.4 or newer, with Bluetooth Low Energy connectivity and a syncing range of up to 30 feet. For Indian buyers, the biggest question now is price. Google has confirmed the October launch, but until the company announces the official Indian price, the figures seen on online listings should not be treated as final.

<p>Google will launch Fitbit Air in India in October 2026. The screenless fitness tracker offers 24/7 heart-rate tracking, SpO2, sleep monitoring and up to seven days of battery life. Google has not yet announced the official Indian price or exact launch date.</p>

Google Fitbit Air coming to India in October: Check features, battery and sensors

<p>&nbsp;</p><p>Google is taking its health tracking ambitions a step further with Health Guardian, a new set of features designed to spot subtle changes in the body that may not be obvious day to day. The tools are coming to the Google Health app for eligible Pixel Watch and Fitbit devices. Google says they can work quietly in the background around the clock, analysing physiological data and highlighting important changes over time. The idea is different from simply checking today's heart rate or number of steps. Health Guardian is designed to look for longer-term patterns and present them in monthly summaries, with notifications when a feature detects something that may need attention.</p><p>&nbsp;</p><h2><strong>What can Google Health Guardian track?</strong></h2><p>Google is introducing four Health Guardian features. Insulin resistance trends analyse multi-week physiological data to track changes in metabolic health without requiring a blood sample, according to Google. Blood pressure trends use pulse and movement patterns collected over time to estimate changes without requiring a traditional blood-pressure cuff. There is also sleep breathing quality, which looks at breathing patterns during sleep and shows how much of the night was spent with optimal breathing. The fourth feature is breathing emergency detection. It is designed to detect a critical drop in blood oxygen and, if the person becomes unresponsive, can automatically contact emergency services and emergency contacts. Google says this feature is limited to Pixel Watch and select European countries.</p><p>&nbsp;</p><h2><strong>AI is doing the heavy lifting</strong></h2><p>Google says its health models were trained using sensor data from millions of opted-in users. Its insulin-resistance model was trained on more than one trillion minutes of data from 5 million opted-in users, while its blood-pressure model was trained using billions of minutes of heart and movement data. Google says the features have also undergone clinical validation using established measurement methods. The company says research supporting the insulin-resistance technology has been published in Nature.</p><p>&nbsp;</p><h2><strong>But Google says this is not a medical diagnosis</strong></h2><p>There is an important limitation. Google says Health Guardian features are intended for general wellness and information, not for diagnosing or treating medical conditions. The company specifically says insulin-resistance and blood-pressure trends should not be treated as real-time clinical readings or used to change medication or treatment plans. Users should consult healthcare professionals about medical concerns. The features are coming soon, with availability depending on the device and region. Google Health Coach can also help users understand the information, although it requires a Google Health Premium subscription or an eligible Google AI Pro or Ultra plan.</p>

Google's new Health Guardian features will use Pixel Watch and Fitbit data to track subtle changes in insulin resistance, blood pressure and sleep breathing. The tools provide longer-term health insights, but Google says they are for wellness and are not medical diagnostic tools.

Google is taking its health tracking ambitions a step further with Health Guardian, a new set of features designed to spot subtle changes in the body that may not be obvious day to day. The tools are coming to the Google Health app for eligible Pixel Watch and Fitbit devices. Google says they can work quietly in the background around the clock, analysing physiological data and highlighting important changes over time. The idea is different from simply checking today's heart rate or number of steps. Health Guardian is designed to look for longer-term patterns and present them in monthly summaries, with notifications when a feature detects something that may need attention. What can Google Health Guardian track? Google is introducing four Health Guardian features. Insulin resistance trends analyse multi-week physiological data to track changes in metabolic health without requiring a blood sample, according to Google. Blood pressure trends use pulse and movement patterns collected over time to estimate changes without requiring a traditional blood-pressure cuff. There is also sleep breathing quality, which looks at breathing patterns during sleep and shows how much of the night was spent with optimal breathing. The fourth feature is breathing emergency detection. It is designed to detect a critical drop in blood oxygen and, if the person becomes unresponsive, can automatically contact emergency services and emergency contacts. Google says this feature is limited to Pixel Watch and select European countries. AI is doing the heavy lifting Google says its health models were trained using sensor data from millions of opted-in users. Its insulin-resistance model was trained on more than one trillion minutes of data from 5 million opted-in users, while its blood-pressure model was trained using billions of minutes of heart and movement data. Google says the features have also undergone clinical validation using established measurement methods. The company says research supporting the insulin-resistance technology has been published in Nature. But Google says this is not a medical diagnosis There is an important limitation. Google says Health Guardian features are intended for general wellness and information, not for diagnosing or treating medical conditions. The company specifically says insulin-resistance and blood-pressure trends should not be treated as real-time clinical readings or used to change medication or treatment plans. Users should consult healthcare professionals about medical concerns. The features are coming soon, with availability depending on the device and region. Google Health Coach can also help users understand the information, although it requires a Google Health Premium subscription or an eligible Google AI Pro or Ultra plan.

<p>Google's new Health Guardian features will use Pixel Watch and Fitbit data to track subtle changes in insulin resistance, blood pressure and sleep breathing. The tools provide longer-term health insights, but Google says they are for wellness and are not medical diagnostic tools.</p>

Google's AI health tool could give Pixel Watch users health updates without a blood test

<p>Google DeepMind has unveiled a new AI system that could change how Deaf and hard-of-hearing people interact with their phones. SL2T, short for sign-language-to-text, can convert sign language into text and is coming first to Pixel 11. The model will power new features in Gboard and Live Transcribe, allowing users to sign in places where they would normally type. Google says the first supported language pair will be American Sign Language (ASL) to English, with more languages and devices planned.</p><p>The announcement is significant because Google is moving sign-language AI beyond a research demonstration and into a consumer product. Google DeepMind describes SL2T as a breakthrough model designed specifically for Deaf and hard-of-hearing users.</p><p>&nbsp;</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">SL2T is our breakthrough sign language-to-text model powering new features for Deaf and hard of hearing users on <a href="https://x.com/Android?ref_src=twsrc%5Etfw">@Android</a>.<br><br>Starting with American Sign Language-to-English on Pixel 11, people can sign directly into Gboard and Live Transcribe instead of typing. <a href="https://t.co/p9Vx7tJtLT">pic.twitter.com/p9Vx7tJtLT</a></p>&mdash; Google DeepMind (@GoogleDeepMind) <a href="https://x.com/GoogleDeepMind/status/2087541213284946191?ref_src=twsrc%5Etfw">August 12, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>How Google's sign-language AI works</strong></h2><p>SL2T is designed to understand more than individual hand gestures. Sign language also relies on movement, facial expressions and other parts of the body, making it much harder for AI to interpret than a simple gesture-recognition system. The model can turn signing into text that users can then use for everyday tasks. That includes searching the web, writing messages or documents, and interacting with Gemini. In Live Transcribe, users can also sign responses during conversations rather than repeatedly typing them out. Google says the system was developed with input from members of the Deaf community, helping the technology address real-world signing rather than relying only on laboratory demonstrations.</p><p>&nbsp;</p><h2><strong>Designed for real-world signing</strong></h2><p>One challenge is that people do not always sign in perfect conditions. A user may be holding a phone, change their position or sign with one hand.</p><p>Google's model has been designed to handle such situations, according to details shared around the launch. It also considers facial and body movements that carry meaning in sign language. The system's approach is particularly important because sign languages are full languages, not simply hand gestures translated word-for-word into English.</p><p>&nbsp;</p><h2><strong>Pixel 11 is only the beginning</strong></h2><p>SL2T will initially support ASL-to-English on Pixel 11, but Google says the technology will expand to additional devices and languages.</p><p>That could eventually make sign-language input a more common part of Android, rather than a specialist accessibility feature. Google's broader AI strategy is increasingly focused on making models interact with the physical world and different forms of human communication. Its Gemini family already supports multimodal inputs such as text, images, video and audio. With SL2T, Google is adding another form of communication to that list giving users a way to communicate with a phone through sign language rather than speech or typing.</p><p>&nbsp;</p>

Google DeepMind has introduced SL2T, a sign-language-to-text AI model coming first to Pixel 11. It will let Deaf and hard-of-hearing users sign directly into Gboard and Live Transcribe for tasks such as searching, messaging and interacting with Gemini.


Google DeepMind has unveiled a new AI system that could change how Deaf and hard-of-hearing people interact with their phones. SL2T, short for sign-language-to-text, can convert sign language into text and is coming first to Pixel 11. The model will power new features in Gboard and Live Transcribe, allowing users to sign in places where they would normally type. Google says the first supported language pair will be American Sign Language (ASL) to English, with more languages and devices planned. The announcement is significant because Google is moving sign-language AI beyond a research demonstration and into a consumer product. Google DeepMind describes SL2T as a breakthrough model designed specifically for Deaf and hard-of-hearing users.

<p>Google DeepMind has introduced SL2T, a sign-language-to-text AI model coming first to Pixel 11. It will let Deaf and hard-of-hearing users sign directly into Gboard and Live Transcribe for tasks such as searching, messaging and interacting with Gemini.</p>

Google DeepMind unveils AI that can understand sign language

<p>For centuries, people preserved memories through photographs, letters and home videos. Now, artificial intelligence is changing that. Today, a growing number of companies offer to recreate deceased people as interactive chatbots, voice clones or even lifelike video avatars that can hold conversations with family members.</p><p>Supporters of the technology see these AI replicas as a new way to remember loved ones. Critics, meanwhile, warn that these AI avatars blur the line between memory and simulation, raising difficult questions about grief, consent, privacy and ownership. WION decodes the latest AI-related ethical conundrum.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/trending/advances-in-artificial-intelligence-mean-deadbots-can-haunt-users-warn-ai-experts-heres-what-it-means-719542"><strong>Advances in artificial intelligence mean 'deadbots' can 'haunt' the living, warn experts. Here's what it means</strong></a></p><h2><strong>How are AI companies creating digital versions of dead people?</strong></h2><p>The technology works by combining multiple forms of personal data left behind during a person's lifetime.</p><p>Researchers describe these systems, often called "digital ghosts" or "griefbots", as AI models built from a person's digital traces, including photographs, videos, voice recordings, emails, text messages, interviews, social media posts and memories shared by relatives.</p><p>Voice cloning technology analyses recordings to reproduce a person's pronunciation, pitch, rhythm, accent and speaking style. Instead of replaying existing recordings, AI generates entirely new speech in the same voice. Reuters reported one case in which a man recreated his deceased father's voice from a single audio message.</p><p>Facial animation has also advanced rapidly. Microsoft's VASA-1 research showed that a single photograph combined with an audio clip can generate realistic talking faces with synchronised lip movements, facial expressions and natural head movements. The company said the research is intended to advance avatar technology and was not released as a public product.</p><p>Many commercial services combine these technologies with large language models that learn a person's communication style and memories, allowing an avatar to respond to new questions in real time.</p><p>One such service, Afterlife AI, offers a service where users can themselves preserve their voice, memories, values and stories while alive and decide who can access their digital persona after death.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/technology/death-is-only-the-beginning-meta-patents-technology-that-ll-let-ai-run-your-social-media-from-beyond-the-grave-wion-explains-1771304178081"><strong>Death is only the beginning? Meta patents tech that'll let AI run your social media from beyond the grave | WION Explains</strong></a></p><h2><strong>Who owns your voice, photographs and digital identity after death?</strong></h2><p>The legal answer is far from straightforward. According to India's Copyright Act, there is no single legal right covering a deceased person's entire digital identity. Different parts of someone's online presence are governed by different laws.</p><blockquote><p>For instance:</p><ul><li>A photograph is not automatically owned by the person appearing in it. Copyright usually belongs to the photographer unless specific legal exceptions apply.</li><li>Copyright in literary, artistic, musical and other protected works generally continues for 60 years after the author's death under the Copyright Act, 1957.</li><li>Voice recordings can themselves qualify as copyright-protected sound recordings.</li></ul></blockquote><p>This means that AI companies may own the software used to generate an avatar, but that does not automatically give them ownership of the deceased person's identity, likeness or personal history.</p><p>Notably, India currently has no dedicated law governing AI-generated replicas of deceased individuals, meaning disputes could involve copyright, contractual agreements, privacy principles and inheritance laws depending on the circumstances.</p><h2><strong>Can AI help people cope with grief?</strong></h2><p>Researchers say the answer is complicated. Several recent studies suggest AI grief technologies can provide emotional comfort by allowing users to maintain a sense of connection with someone who has died. Participants reported using griefbots to express unresolved emotions, revisit memories or have private conversations they felt unable to share with others.</p><p>A 2026 systematic review examining 30 studies on digital grief technologies, including AI chatbots, digital replicas, virtual reality memorials and online remembrance platforms, found potential benefits such as reduced grief symptoms, increased emotional support and greater accessibility to bereavement tools. However, the research published in <a href="https://www.sciencedirect.com/science/article/pii/S2451958826002228">Science Direct</a> also identified significant risks. "This form of digital grief technology can create an illusion, causing the bereaved to develop unhealthy attachments to the digital representations of the deceased as a form of support or closure. Therefore, such attachments could interfere with their ability to engage in a healthy grieving process. Similarly, generative AI chatbots were also found to be at risk of causing overreliance as this technology enabled the bereaved to sustain a continuous bond with the deceased, which can hinder their recovery process," it found.</p><p>Researchers have also warned that prolonged interaction with AI replicas could interfere with the natural grieving process by making it harder for some people to accept a loved one's death. Concerns about psychological dependence have become one of the central ethical debates surrounding griefbots.</p><p><i>Here's a question for you, the reader: Would you opt to create a griefbot to help you deal with the death of a loved one or leave behind an AI replica of yourself to help them after your passing?</i></p>

AI can now use a person's photos, videos, voice recordings and messages to create digital replicas that can talk and respond like them. But as "griefbots" gain attention, questions around consent, ownership, privacy and the grieving process are becoming harder to ignore. WION Decodes.

For centuries, people preserved memories through photographs, letters and home videos. Now, artificial intelligence is changing that. Today, a growing number of companies offer to recreate deceased people as interactive chatbots, voice clones or even lifelike video avatars that can hold conversations with family members. Supporters of the technology see these AI replicas as a new way to remember loved ones. Critics, meanwhile, warn that these AI avatars blur the line between memory and simulation, raising difficult questions about grief, consent, privacy and ownership. WION decodes the latest AI-related ethical conundrum. Also read | Advances in artificial intelligence mean 'deadbots' can 'haunt' the living, warn experts. Here's what it means How are AI companies creating digital versions of dead people? The technology works by combining multiple forms of personal data left behind during a person's lifetime. Researchers describe these systems, often called "digital ghosts" or "griefbots", as AI models built from a person's digital traces, including photographs, videos, voice recordings, emails, text messages, interviews, social media posts and memories shared by relatives. Voice cloning technology analyses recordings to reproduce a person's pronunciation, pitch, rhythm, accent and speaking style. Instead of replaying existing recordings, AI generates entirely new speech in the same voice. Reuters reported one case in which a man recreated his deceased father's voice from a single audio message. Facial animation has also advanced rapidly. Microsoft's VASA-1 research showed that a single photograph combined with an audio clip can generate realistic talking faces with synchronised lip movements, facial expressions and natural head movements. The company said the research is intended to advance avatar technology and was not released as a public product. Many commercial services combine these technologies with large language models that learn a person's communication style and memories, allowing an avatar to respond to new questions in real time. One such service, Afterlife AI, offers a service where users can themselves preserve their voice, memories, values and stories while alive and decide who can access their digital persona after death. Also read | Death is only the beginning? Meta patents tech that'll let AI run your social media from beyond the grave | WION Explains Who owns your voice, photographs and digital identity after death? The legal answer is far from straightforward. According to India's Copyright Act, there is no single legal right covering a deceased person's entire digital identity. Different parts of someone's online presence are governed by different laws. For instance: A photograph is not automatically owned by the person appearing in it. Copyright usually belongs to the photographer unless specific legal exceptions apply. Copyright in literary, artistic, musical and other protected works generally continues for 60 years after the author's death under the Copyright Act, 1957. Voice recordings can themselves qualify as copyright-protected sound recordings. This means that AI companies may own the software used to generate an avatar, but that does not automatically give them ownership of the deceased person's identity, likeness or personal history. Notably, India currently has no dedicated law governing AI-generated replicas of deceased individuals, meaning disputes could involve copyright, contractual agreements, privacy principles and inheritance laws depending on the circumstances. Can AI help people cope with grief? Researchers say the answer is complicated. Several recent studies suggest AI grief technologies can provide emotional comfort by allowing users to maintain a sense of connection with someone who has died. Participants reported using griefbots to express unresolved emotions, revisit memories or have private conversations they felt unable to share with others. A 2026 systematic review examining 30 studies on digital grief technologies, including AI chatbots, digital replicas, virtual reality memorials and online remembrance platforms, found potential benefits such as reduced grief symptoms, increased emotional support and greater accessibility to bereavement tools. However, the research published in Science Direct also identified significant risks. "This form of digital grief technology can create an illusion, causing the bereaved to develop unhealthy attachments to the digital representations of the deceased as a form of support or closure. Therefore, such attachments could interfere with their ability to engage in a healthy grieving process. Similarly, generative AI chatbots were also found to be at risk of causing overreliance as this technology enabled the bereaved to sustain a continuous bond with the deceased, which can hinder their recovery process," it found. Researchers have also warned that prolonged interaction with AI replicas could interfere with the natural grieving process by making it harder for some people to accept a loved one's death. Concerns about psychological dependence have become one of the central ethical debates surrounding griefbots. Here's a question for you, the reader: Would you opt to create a griefbot to help you deal with the death of a loved one or leave behind an AI replica of yourself to help them after your passing?

<p>AI can now use a person's photos, videos, voice recordings and messages to create digital replicas that can talk and respond like them. But as "griefbots" gain attention, questions around consent, ownership, privacy and the grieving process are becoming harder to ignore. WION Decodes.</p>

AI can now recreate the dead. But who owns your 'digital ghost' when you're gone? | WION Decodes

<p>Artificial intelligence is moving beyond pilot projects and proofs-of-concept into the very fabric of enterprise strategy, reshaping how businesses innovate, compete and create value. Industry leaders stated that the technology is no longer just a productivity tool; it has become a strategic capability driving industry-specific transformation, richer customer experiences and smarter business process orchestration.</p><p><br>It also transforms enterprise innovation by shifting from simple task automation to autonomous, goal-driven systems that reason, plan, and execute complex workflows. Companies leverage generative models, multi-agent frameworks, and predictive analytics to reshape research and development, streamline operations, and hyper-personalise customer engagement.</p><h3>Enterprises' investment in AI</h3><p>According to Praveen Ojha, Chief Technologist at EPAM Systems India Pvt. Ltd., enterprises are concentrating AI investment where it delivers the strongest competitive edge. He noted that AI now blends reasoning, prediction and content generation with enterprise data, enabling companies to redesign business models and boost workforce productivity. Sectors like healthcare and financial services are already seeing tangible applications, from clinical research and pharmacovigilance to content generation and regulatory mapping, while multimodal and agentic AI increasingly power more intuitive, automated workflows.</p><p><br>Praveen Ojha said, "Enterprises are focusing AI investment on a few key areas where it creates the most competitive differentiation: industry-specific transformation, customer experience and business process orchestration. AI is combining reasoning, prediction and content generation with enterprise data to help organisations redesign business models, personalise customer experiences, augment workforce productivity through intelligent automation and create new sources of value through AI-enabled products and services. In healthcare and life sciences, AI is modernising clinical research through AI-powered evidence generation, data hub development, MDM (Medical Decision Making) modernisation and pharmacovigilance."</p><p><br>"In financial services, it's being applied to content generation, MCC (Merchant Category Code) validation and BIAN (Banking Industry Architecture Network) mapping. Alongside these use cases, multimodal AI is enabling richer, more intuitive customer experiences by combining text, voice, image, video and sensor data, while agentic AI is increasingly orchestrating workflows, supporting decisions and executing complex business processes with human oversight. As these capabilities scale, data centre operations must evolve too. Supporting multimodal and agentic AI at scale requires intelligent infrastructure that can dynamically allocate compute and orchestrate workloads with minimal manual intervention," he added.</p><p><br>Ojha emphasised that true competitive advantage doesn't come from foundation models alone, but from combining them with proprietary data and deep domain expertise. Many organisations, he said, are now deploying "digital workers", AI agents managing end-to-end functional responsibilities under human oversight. As these systems scale, he added, supporting infrastructure must also evolve to dynamically allocate compute and orchestrate workloads with minimal manual intervention, ensuring enterprises can convert AI capability into measurable business outcomes.</p><p><br>"Capturing this value requires rethinking enterprise innovation. Many are increasingly adopting digital workers - AI agents that handle end-to-end responsibilities within a function, with humans providing oversight. Competitive advantage doesn’t come from access to foundation models alone. Instead, it comes from combining those models with proprietary data, institutional knowledge and deep domain expertise. Beyond efficiency gains, organisations have started looking at AI enabling new products, better customer experiences and new sources of business value. Ultimately, leadership in this next phase will belong to organisations that can turn AI into real outcomes through engineering capabilities and multidisciplinary teams that can deploy AI at production scale," Ojha said.</p><p>&nbsp;</p><p><strong>Also read:</strong> <a href="https://www.wionews.com/trending/how-repeated-paper-leaks-are-breaking-students-before-they-begin-their-journey-explained-1786101519100">How repeated paper leaks are breaking students before they begin their journey? EXPLAINED</a></p><h3>AI into workflows and innovation cycles</h3><p>Echoing this shift, Mahesh Sharma, SVP of Data &amp; AI Engineering at Bread Financial, noted that the AI conversation has moved from experimentation to full-scale transformation. Organisations, he explained, are embedding AI into everyday workflows and innovation cycles rather than treating it as a standalone tool. Sharma outlined three defining shifts: reaching critical mass in AI adoption to unlock real impact, using AI to shorten the gap between idea and execution, and empowering agentic AI to plan and execute complex, long-running tasks, freeing humans to focus on strategic judgment and creativity.</p><p><br>"The conversation around AI is shifting from experimentation to transformation. Forward-looking organisations no longer view AI as a standalone tool; they are reimagining how work gets done by embedding AI into workflows, customer experiences and innovation cycles to unlock new forms of value creation. The future will be shaped by three important shifts. First, organisations must rethink how they use AI to solve business problems. Access alone does not create impact. Value emerges when adoption reaches critical mass, and AI is incorporated into daily work.&nbsp;<br>Second, AI is dramatically shortening the distance between idea and execution. Organisations can hypothesise faster, validate assumptions with greater confidence, and accelerate the journey from concept to implementation. As a result, teams can innovate with greater speed and precision. Third, Agentic AI will fundamentally reshape how work is performed. Agents will increasingly plan, coordinate and execute complex, long-running activities based on desired business outcomes. This shift will enable new operating models where humans focus on strategic judgment, creativity and oversight, while AI handles orchestration and execution at scale," Sharma said.</p><p><br>"Organisations must be deliberate in how they pursue this transformation. Leaders must define the problem they want to solve, identify where AI can create meaningful value, and establish clear accountability for outcomes. The organisations that create lasting value will be those that view AI not merely as a productivity tool, but as a strategic capability that equips people to solve complex problems, make better-informed decisions, and convert ideas into sustainable business outcomes," Sharma added.</p><p><br>Reacting to the use of AI in enterprises, Dinesh Parikh, Vice President - Product Management, Newgen Software, said, "For years, enterprises viewed AI primarily as a tool for generating insights. Today, we're in a far more consequential phase where AI is an active participant in how work gets done. The conversation is no longer about intelligence in isolation; it's about intelligence in motion. The most innovative organisations are embedding AI directly into the fabric of their operations, enabling systems to understand and orchestrate actions across people, processes, and technology. This shift is redefining enterprise agility, helping businesses move from reactive decision-making to continuous, adaptive execution, where AI can drive multi-step intelligence and actions while keeping humans in the loop for oversight, judgment, and accountability. What's particularly exciting is the emergence of AI as a force multiplier for human potential. Rather than replacing expertise, it amplifies it, freeing employees from routine work and enabling them to focus on creativity, strategy, and problem-solving. The enterprises that lead the next decade won't be those with the most AI pilots. They'll be the ones that successfully orchestrate AI, automation, data, and human ingenuity into a connected system of innovation, transforming intelligence from a capability into a competitive advantage."<br>&nbsp;</p>

Enterprises are concentrating AI investment where it delivers the strongest competitive edge. He noted that AI now blends reasoning, prediction and content generation with enterprise data, enabling companies to redesign business models and boost workforce productivity. 

Artificial intelligence is moving beyond pilot projects and proofs-of-concept into the very fabric of enterprise strategy, reshaping how businesses innovate, compete and create value. Industry leaders stated that the technology is no longer just a productivity tool; it has become a strategic capability driving industry-specific transformation, richer customer experiences and smarter business process orchestration. It also transforms enterprise innovation by shifting from simple task automation to autonomous, goal-driven systems that reason, plan, and execute complex workflows. Companies leverage generative models, multi-agent frameworks, and predictive analytics to reshape research and development, streamline operations, and hyper-personalise customer engagement. Enterprises' investment in AI According to Praveen Ojha, Chief Technologist at EPAM Systems India Pvt. Ltd., enterprises are concentrating AI investment where it delivers the strongest competitive edge. He noted that AI now blends reasoning, prediction and content generation with enterprise data, enabling companies to redesign business models and boost workforce productivity. Sectors like healthcare and financial services are already seeing tangible applications, from clinical research and pharmacovigilance to content generation and regulatory mapping, while multimodal and agentic AI increasingly power more intuitive, automated workflows. Praveen Ojha said, "Enterprises are focusing AI investment on a few key areas where it creates the most competitive differentiation: industry-specific transformation, customer experience and business process orchestration. AI is combining reasoning, prediction and content generation with enterprise data to help organisations redesign business models, personalise customer experiences, augment workforce productivity through intelligent automation and create new sources of value through AI-enabled products and services. In healthcare and life sciences, AI is modernising clinical research through AI-powered evidence generation, data hub development, MDM (Medical Decision Making) modernisation and pharmacovigilance." "In financial services, it's being applied to content generation, MCC (Merchant Category Code) validation and BIAN (Banking Industry Architecture Network) mapping. Alongside these use cases, multimodal AI is enabling richer, more intuitive customer experiences by combining text, voice, image, video and sensor data, while agentic AI is increasingly orchestrating workflows, supporting decisions and executing complex business processes with human oversight. As these capabilities scale, data centre operations must evolve too. Supporting multimodal and agentic AI at scale requires intelligent infrastructure that can dynamically allocate compute and orchestrate workloads with minimal manual intervention," he added. Ojha emphasised that true competitive advantage doesn't come from foundation models alone, but from combining them with proprietary data and deep domain expertise. Many organisations, he said, are now deploying "digital workers", AI agents managing end-to-end functional responsibilities under human oversight. As these systems scale, he added, supporting infrastructure must also evolve to dynamically allocate compute and orchestrate workloads with minimal manual intervention, ensuring enterprises can convert AI capability into measurable business outcomes. "Capturing this value requires rethinking enterprise innovation. Many are increasingly adopting digital workers - AI agents that handle end-to-end responsibilities within a function, with humans providing oversight. Competitive advantage doesn’t come from access to foundation models alone. Instead, it comes from combining those models with proprietary data, institutional knowledge and deep domain expertise. Beyond efficiency gains, organisations have started looking at AI enabling new products, better customer experiences and new sources of business value. Ultimately, leadership in this next phase will belong to organisations that can turn AI into real outcomes through engineering capabilities and multidisciplinary teams that can deploy AI at production scale," Ojha said. Also read: How repeated paper leaks are breaking students before they begin their journey? EXPLAINED AI into workflows and innovation cycles Echoing this shift, Mahesh Sharma, SVP of Data & AI Engineering at Bread Financial, noted that the AI conversation has moved from experimentation to full-scale transformation. Organisations, he explained, are embedding AI into everyday workflows and innovation cycles rather than treating it as a standalone tool. Sharma outlined three defining shifts: reaching critical mass in AI adoption to unlock real impact, using AI to shorten the gap between idea and execution, and empowering agentic AI to plan and execute complex, long-running tasks, freeing humans to focus on strategic judgment and creativity. "The conversation around AI is shifting from experimentation to transformation. Forward-looking organisations no longer view AI as a standalone tool; they are reimagining how work gets done by embedding AI into workflows, customer experiences and innovation cycles to unlock new forms of value creation. The future will be shaped by three important shifts. First, organisations must rethink how they use AI to solve business problems. Access alone does not create impact. Value emerges when adoption reaches critical mass, and AI is incorporated into daily work. Second, AI is dramatically shortening the distance between idea and execution. Organisations can hypothesise faster, validate assumptions with greater confidence, and accelerate the journey from concept to implementation. As a result, teams can innovate with greater speed and precision. Third, Agentic AI will fundamentally reshape how work is performed. Agents will increasingly plan, coordinate and execute complex, long-running activities based on desired business outcomes. This shift will enable new operating models where humans focus on strategic judgment, creativity and oversight, while AI handles orchestration and execution at scale," Sharma said. "Organisations must be deliberate in how they pursue this transformation. Leaders must define the problem they want to solve, identify where AI can create meaningful value, and establish clear accountability for outcomes. The organisations that create lasting value will be those that view AI not merely as a productivity tool, but as a strategic capability that equips people to solve complex problems, make better-informed decisions, and convert ideas into sustainable business outcomes," Sharma added. Reacting to the use of AI in enterprises, Dinesh Parikh, Vice President - Product Management, Newgen Software, said, "For years, enterprises viewed AI primarily as a tool for generating insights. Today, we're in a far more consequential phase where AI is an active participant in how work gets done. The conversation is no longer about intelligence in isolation; it's about intelligence in motion. The most innovative organisations are embedding AI directly into the fabric of their operations, enabling systems to understand and orchestrate actions across people, processes, and technology. This shift is redefining enterprise agility, helping businesses move from reactive decision-making to continuous, adaptive execution, where AI can drive multi-step intelligence and actions while keeping humans in the loop for oversight, judgment, and accountability. What's particularly exciting is the emergence of AI as a force multiplier for human potential. Rather than replacing expertise, it amplifies it, freeing employees from routine work and enabling them to focus on creativity, strategy, and problem-solving. The enterprises that lead the next decade won't be those with the most AI pilots. They'll be the ones that successfully orchestrate AI, automation, data, and human ingenuity into a connected system of innovation, transforming intelligence from a capability into a competitive advantage."

<p>Enterprises are concentrating AI investment where it delivers the strongest competitive edge. He noted that AI now blends reasoning, prediction and content generation with enterprise data, enabling companies to redesign business models and boost workforce productivity.&nbsp;</p>

How is AI transforming the future of enterprise innovation? EXPLAINED

<p>A discarded rocket stage of Elon Musk's SpaceX has slammed into the Moon at around 5,400 miles per hour, leaving behind a fresh crater on the lunar surface. Stunning visuals of the human-made crater have now been captured by a South Korean lunar spacecraft.</p><p>The Korea Aerospace Research Institute's Danuri spacecraft flew over the impact site shortly after the Falcon 9 upper stage crashed into the lunar surface on Wednesday. The satellite made multiple passes over the area and captured images showing the terrain before and after the impact.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/trending/baba-vanga-s-2026-prophecy-2-predictions-already-came-true-3-terrifying-ones-remain-first-human-alien-contact-world-war-3-and-putin-s-exit-1786169922573"><strong>Baba Vanga's 2026 prophecy: 2 predictions 'already came true', 3 terrifying ones remain. Details inside</strong></a></p><h2><strong>Another human-made crater on the Moon</strong></h2><p>Scientists estimate that the impact could have created a crater up to 27 metres wide and around five metres deep.</p><p>The pictures reveal a noticeably darker patch on the Moon where the rocket struck, with dust and debris scattered across the surrounding surface.</p><p>KARI said Danuri began observing the region around 30 minutes before the collision and conducted eight imaging sessions in total.</p><p>"Through this observation, changes in the terrain around the impact site and traces of ejecta spread were confirmed," the agency said.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Our team at <a href="https://x.com/iaa_csic?ref_src=twsrc%5Etfw">@iaa_csic</a> has captured the impact on the Moon of the upper stage of a Falcon 9 rocket. We attach a preliminary video showing the evolution of the ejected material. The black area corresponds to the lunar disk <a href="https://x.com/SpaceX?ref_src=twsrc%5Etfw">@SpaceX</a> <a href="https://x.com/JuanLuisRizos?ref_src=twsrc%5Etfw">@JuanLuisRizos</a> <a href="https://x.com/elonmusk?ref_src=twsrc%5Etfw">@elonmusk</a> <a href="https://x.com/tiempobrasero?ref_src=twsrc%5Etfw">@tiempobrasero</a> <a href="https://x.com/A3Noticias?ref_src=twsrc%5Etfw">@A3Noticias</a>… <a href="https://t.co/5Ry7hRdCeS">pic.twitter.com/5Ry7hRdCeS</a></p>&mdash; Jose Maria Madiedo (@jmmadiedo) <a href="https://x.com/jmmadiedo/status/2085344665562165293?ref_src=twsrc%5Etfw">August 6, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>What happened to the SpaceX rocket?</strong></h2><p>The Falcon 9 launched from Florida in January 2025 carrying two private lunar landers, Firefly Aerospace's Blue Ghost and ispace's Resilience, into lunar orbit. The rocket's primary booster was designed to return safely to Earth. But the upper stage was left drifting in space after completing its mission.</p><p>It was never supposed to hit the Moon. But a combination of lunar gravity and solar activity eventually pushed the roughly 4,000 to 4,500kg rocket stage onto a collision course with the lunar surface.</p><p>Independent astronomers first noticed the unusual trajectory before it was confirmed by NASA's Centre for Near-Earth Object Studies.</p><p>The rocket, measuring around 12 metres long, eventually hit the Moon at about 8,700 kmph. Researchers estimate the impact packed the force of roughly three tonnes of TNT.</p><h2><strong>Satellite caught the Moon before and after the crash</strong></h2><p>Danuri's observations have given scientists an unusually useful record of the impact. Because the spacecraft passed over the region shortly before the collision, researchers can compare the lunar surface before the rocket hit with the landscape after the crash.</p><p>NASA's Lunar Reconnaissance Orbiter is also expected to observe the site during a later pass, providing another look at the crater and surrounding debris.</p><p>Researchers in Spain also believe they captured footage of the impact indirectly. The actual flash was hidden behind the Moon's limb, but astronomers say they may have recorded the plume of dust and debris thrown into space by the collision. Watch the stunning visuals here:</p>

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<h2><strong>Why scientists are interested in the crash</strong></h2><p>The accidental collision is more than a dramatic space event. Scientists see it as a rare opportunity to study how large objects behave when they strike the lunar surface.</p><p>The Moon is regularly bombarded by meteoroids, but scientists often have little information about the exact size and mass of naturally occurring impactors. This time, they know the approximate mass, composition and trajectory of the object. That could allow researchers to study how the impact created a crater and how far material was thrown across the lunar surface.</p><p>The Moon has been deliberately used for similar experiments before. In 2006, the European Space Agency intentionally crashed its SMART-1 spacecraft into the lunar surface to study the resulting impact.</p>

A discarded SpaceX Falcon 9 rocket stage has crashed into the Moon at around 5,400 mph, creating a fresh crater estimated to be up to 27 metres wide. South Korea's Danuri spacecraft captured the lunar surface before and after the impact.

A discarded rocket stage of Elon Musk's SpaceX has slammed into the Moon at around 5,400 miles per hour, leaving behind a fresh crater on the lunar surface. Stunning visuals of the human-made crater have now been captured by a South Korean lunar spacecraft. The Korea Aerospace Research Institute's Danuri spacecraft flew over the impact site shortly after the Falcon 9 upper stage crashed into the lunar surface on Wednesday. The satellite made multiple passes over the area and captured images showing the terrain before and after the impact. Also read | Baba Vanga's 2026 prophecy: 2 predictions 'already came true', 3 terrifying ones remain. Details inside Another human-made crater on the Moon Scientists estimate that the impact could have created a crater up to 27 metres wide and around five metres deep. The pictures reveal a noticeably darker patch on the Moon where the rocket struck, with dust and debris scattered across the surrounding surface. KARI said Danuri began observing the region around 30 minutes before the collision and conducted eight imaging sessions in total. "Through this observation, changes in the terrain around the impact site and traces of ejecta spread were confirmed," the agency said.

<p>A discarded SpaceX Falcon 9 rocket stage has crashed into the Moon at around 5,400 mph, creating a fresh crater estimated to be up to 27 metres wide. South Korea's Danuri spacecraft captured the lunar surface before and after the impact.</p>

Elon Musk's SpaceX rocket crashes into Moon at 5,400 mph: South Korean satellite captures shocking 'before and after' images

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Shocking 'before and after' images as Musk's rocket crashes into Moon