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Could artificial intelligence eventually kill humans? Anthropic CEO Dario Amodei says the possibility cannot be dismissed but he believes the outcome is still shaped by human choices.&nbsp;Speaking to CNN's Anderson Cooper, Amodei said he agrees with former Anthropic researcher Jacob Coxon's concerns about the AI race more than he disagrees with them. His warning comes as major AI companies develop increasingly powerful systems and debate how much, if at all, that progress should be slowed. Amodei's central message was not that AI will inevitably destroy humanity. Instead, he said the industry should focus on which path it takes next.&nbsp;“If we take the right path, then the chance of something going wrong is very low.”&nbsp;He added that taking the wrong path could make the risk considerably higher.<h2>Why Amodei wants AI development slowed</h2>Amodei has argued that AI capabilities are advancing faster than safety measures can keep up.&nbsp;In a new proposal, he called for frontier AI companies to give independent evaluators permanent, employee-level access so they can examine safety practices and report problems. He also called for common safety standards among democratic countries and greater international coordination.&nbsp;Anthropic has already committed to the independent-evaluator measure.The aim is not to stop AI development completely. Amodei wants companies to pace the frontier so researchers and governments have more time to understand increasingly capable systems and build safeguards around them.<h2>Jacob Coxon's warning sparked the debate</h2>The discussion intensified after Coxon resigned from Anthropic and publicly accused AI companies of “gambling with our lives”. Coxon, who previously worked at OpenAI, warned that researchers building advanced AI believe it could potentially kill humanity by the end of the decade. His comments went viral and were echoed by Anthropic alignment researcher Evan Hubinger, who said he personally puts the risk above 10% over the next decade. Amodei said Coxon was not specifically accusing Anthropic of being uniquely irresponsible. Instead, he was warning about the competitive race across the entire industry.

<blockquote class="twitter-tweet">Do not underestimate the power of this technology. These will soon be superhuman systems that can hack anything, revolutionize any field overnight, and acquire real power and resources. We have all witnessed the progress in each of these domains, and progress is not slowing.&mdash; Jacob Coxon (@hilbertspaess) <a href="https://x.com/hilbertspaess/status/2097476201283834281?ref_src=twsrc%5Etfw">September 9, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<blockquote class="twitter-tweet">I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we&#39;ve had at OpenAI in recent weeks. Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We&#39;ll have more to share soon. <a href="https://t.co/1YhhIybZX7">https://t.co/1YhhIybZX7</a>&mdash; Sam Altman (@sama) <a href="https://x.com/sama/status/2098811563415150910?ref_src=twsrc%5Etfw">September 12, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<blockquote class="twitter-tweet">Dario is right <a href="https://t.co/EwKgqQGaUo">https://t.co/EwKgqQGaUo</a>&mdash; Elon Musk (@elonmusk) <a href="https://x.com/elonmusk/status/2098789109980332057?ref_src=twsrc%5Etfw">September 12, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

The call for caution has unusually brought together rival AI leaders.OpenAI CEO Sam Altman said, “We need to pace the frontier,” and backed independent evaluators with employee-like access. OpenAI said it would adopt the measure. Tesla and xAI CEO Elon Musk also publicly supported Amodei's position, writing: “Dario is right.” The debate now centres on a difficult question: how can the world keep the benefits of increasingly powerful AI while ensuring the technology does not advance faster than humanity's ability to control it?&nbsp;For Amodei, the answer is not simply predicting a percentage. It is making sure the industry chooses the safer path before the choices become harder to reverse.

Anthropic CEO Dario Amodei says AI could pose serious risks if development moves too quickly, but he rejects treating catastrophe as a fixed probability. He wants AI companies and governments to slow the frontier, strengthen safety checks and coordinate internationally.

Could artificial intelligence eventually kill humans? Anthropic CEO Dario Amodei says the possibility cannot be dismissed but he believes the outcome is still shaped by human choices. Speaking to CNN's Anderson Cooper, Amodei said he agrees with former Anthropic researcher Jacob Coxon's concerns about the AI race more than he disagrees with them. His warning comes as major AI companies develop increasingly powerful systems and debate how much, if at all, that progress should be slowed. Amodei's central message was not that AI will inevitably destroy humanity. Instead, he said the industry should focus on which path it takes next. “If we take the right path, then the chance of something going wrong is very low.” He added that taking the wrong path could make the risk considerably higher. Why Amodei wants AI development slowed Amodei has argued that AI capabilities are advancing faster than safety measures can keep up. In a new proposal, he called for frontier AI companies to give independent evaluators permanent, employee-level access so they can examine safety practices and report problems. He also called for common safety standards among democratic countries and greater international coordination. Anthropic has already committed to the independent-evaluator measure. The aim is not to stop AI development completely. Amodei wants companies to pace the frontier so researchers and governments have more time to understand increasingly capable systems and build safeguards around them. Jacob Coxon's warning sparked the debate The discussion intensified after Coxon resigned from Anthropic and publicly accused AI companies of “gambling with our lives”. Coxon, who previously worked at OpenAI, warned that researchers building advanced AI believe it could potentially kill humanity by the end of the decade. His comments went viral and were echoed by Anthropic alignment researcher Evan Hubinger, who said he personally puts the risk above 10% over the next decade. Amodei said Coxon was not specifically accusing Anthropic of being uniquely irresponsible. Instead, he was warning about the competitive race across the entire industry.

Anthropic CEO Dario Amodei says AI could pose serious risks if development moves too quickly, but he rejects treating catastrophe as a fixed probability. He wants AI companies and governments to slow the frontier, strengthen safety checks and coordinate internationally.

Can AI kill humans? Anthropic CEO Dario Amodei says the answer depends on one crucial choice

Apple has revealed all the key buying details for its iPhone 18 Pro and iPhone 18 Pro Max in India. The new Pro models are significantly more expensive than last year's iPhones, with the starting prices rising by around Rs 30,000.&nbsp;Indian customers can pre-order the iPhone 18 Pro and iPhone 18 Pro Max from September 12 at 5:30pm IST. The phones will go on sale from September 18.&nbsp;<h2>iPhone 18 Pro price in India</h2>The iPhone 18 Pro starts at Rs 1,64,900 for 256GB. The 512GB model costs Rs 1,89,900, while the 1TB and 2TB versions are priced at Rs 2,39,900 and Rs 3,14,900. The iPhone 18 Pro Max starts at Rs 1,79,900 for 256GB. The 512GB version costs Rs 2,04,900, while the 1TB and 2TB variants are priced at Rs 2,54,900 and Rs 3,29,900.&nbsp;Both models come in Burgundy, Glacier, Silver and Black. Rs 7,000 bank discount and trade-in benefit Apple is offering an instant saving of Rs 7,000 when eligible American Express, Axis Bank and ICICI Bank cards are used to purchase the new iPhones. Buyers can also get an Apple Trade In benefit of up to Rs 81,500, depending on the device being exchanged. No-cost EMI options are also available on eligible credit cards. Apple is also bundling entertainment benefits. New iPhone buyers can receive three months of Apple Music, Apple TV+ and Apple Arcade free.<h2>Where can you pre-order the iPhone 18 Pro?</h2>Customers can pre-order through the Apple India online store, authorised Apple retailers and major online and offline retailers. Apple has confirmed availability across more than 65 countries and regions, including India, the US, UK, China, Japan, Australia, Canada, Germany, France, Singapore and the UAE. For buyers ordering directly from Apple, the process is straightforward: choose the iPhone 18 Pro or Pro Max, select the storage and colour, then complete the purchase. Apple has also launched new accessories, including a Rs 6,900 TechWoven Case, Rs 5,900 Silicone and Clear Cases, and a Rs 6,900 FineWoven Wallet.

Apple has announced India pricing and availability for the iPhone 18 Pro and Pro Max. Prices start at Rs 1,64,900 and Rs 1,79,900. Pre-orders begin September 12 at 5:30pm IST, with sales starting September 18.

Apple has revealed all the key buying details for its iPhone 18 Pro and iPhone 18 Pro Max in India. The new Pro models are significantly more expensive than last year's iPhones, with the starting prices rising by around Rs 30,000. Indian customers can pre-order the iPhone 18 Pro and iPhone 18 Pro Max from September 12 at 5:30pm IST. The phones will go on sale from September 18. iPhone 18 Pro price in India The iPhone 18 Pro starts at Rs 1,64,900 for 256GB. The 512GB model costs Rs 1,89,900, while the 1TB and 2TB versions are priced at Rs 2,39,900 and Rs 3,14,900. The iPhone 18 Pro Max starts at Rs 1,79,900 for 256GB. The 512GB version costs Rs 2,04,900, while the 1TB and 2TB variants are priced at Rs 2,54,900 and Rs 3,29,900. Both models come in Burgundy, Glacier, Silver and Black. Rs 7,000 bank discount and trade-in benefit Apple is offering an instant saving of Rs 7,000 when eligible American Express, Axis Bank and ICICI Bank cards are used to purchase the new iPhones. Buyers can also get an Apple Trade In benefit of up to Rs 81,500, depending on the device being exchanged. No-cost EMI options are also available on eligible credit cards. Apple is also bundling entertainment benefits. New iPhone buyers can receive three months of Apple Music, Apple TV+ and Apple Arcade free. Where can you pre-order the iPhone 18 Pro? Customers can pre-order through the Apple India online store, authorised Apple retailers and major online and offline retailers. Apple has confirmed availability across more than 65 countries and regions, including India, the US, UK, China, Japan, Australia, Canada, Germany, France, Singapore and the UAE. For buyers ordering directly from Apple, the process is straightforward: choose the iPhone 18 Pro or Pro Max, select the storage and colour, then complete the purchase. Apple has also launched new accessories, including a Rs 6,900 TechWoven Case, Rs 5,900 Silicone and Clear Cases, and a Rs 6,900 FineWoven Wallet.

Apple has announced India pricing and availability for the iPhone 18 Pro and Pro Max. Prices start at Rs 1,64,900 and Rs 1,79,900. Pre-orders begin September 12 at 5:30pm IST, with sales starting September 18.

iPhone 18 Pro Max price in India is Rs 1,79,900: Check pre-order date, sale date, offers and full details

Anthropic says scientists used its Claude AI models for sensitive biological research that could potentially aid the development of biological weapons.&nbsp;The company said it disrupted several such attempts this year, including research involving viruses and other biological work with possible weapons applications. The disclosure has renewed concerns about how increasingly capable AI models could lower barriers to dangerous scientific work. Much of the research involved so-called dual-use science, where the same work can have legitimate medical benefits but could also create security risks.<h2>What did the researchers use Claude for?</h2>One case involved a request to help prepare a grant application for research involving the chikungunya virus. According to Anthropic, the proposed work involved genetic changes intended to study properties such as transmissibility and immune evasion. Such research can have legitimate purposes, including understanding viruses and developing treatments or vaccines, but the same capabilities can raise serious biosecurity concerns.&nbsp;Anthropic said it blocked the accounts involved after detecting activity that violated its policies. The company has not publicly identified the researchers or organisations involved in the biological cases.<h2>Why is AI raising bioweapon concerns?</h2>The concern is not simply that Claude can answer biology questions. Anthropic says newer models are becoming increasingly capable at connecting information across areas of biology and helping researchers with complex scientific tasks. Its own testing has found that some models can provide significant assistance on biological tasks relevant to security risks. That creates a difficult problem for AI companies. The same model that can speed up drug discovery can potentially help with dangerous biological research. Anthropic has therefore introduced stronger safeguards around high-risk biological queries and says its models should not provide serious assistance to people seeking to create biological weapons.<h2>A warning about where AI is heading</h2>The disclosure comes as AI companies face growing pressure over the misuse of increasingly powerful models. Anthropic's latest threat report also describes attempts to use Claude for cyberattacks, surveillance, influence operations and conventional weapons-related work. The biological cases are particularly sensitive because mistakes in this area could have consequences far beyond the person using the AI. For Anthropic, the message is clear: AI safety is no longer only about what models might do in theory. Companies are now having to detect and stop potentially dangerous uses in the real world.

Anthropic says it disrupted several attempts by scientists to use Claude AI for sensitive biological research that could potentially aid biological weapons development. 

Anthropic says scientists used its Claude AI models for sensitive biological research that could potentially aid the development of biological weapons. The company said it disrupted several such attempts this year, including research involving viruses and other biological work with possible weapons applications. The disclosure has renewed concerns about how increasingly capable AI models could lower barriers to dangerous scientific work. Much of the research involved so-called dual-use science, where the same work can have legitimate medical benefits but could also create security risks. What did the researchers use Claude for? One case involved a request to help prepare a grant application for research involving the chikungunya virus. According to Anthropic, the proposed work involved genetic changes intended to study properties such as transmissibility and immune evasion. Such research can have legitimate purposes, including understanding viruses and developing treatments or vaccines, but the same capabilities can raise serious biosecurity concerns. Anthropic said it blocked the accounts involved after detecting activity that violated its policies. The company has not publicly identified the researchers or organisations involved in the biological cases. Why is AI raising bioweapon concerns? The concern is not simply that Claude can answer biology questions. Anthropic says newer models are becoming increasingly capable at connecting information across areas of biology and helping researchers with complex scientific tasks. Its own testing has found that some models can provide significant assistance on biological tasks relevant to security risks. That creates a difficult problem for AI companies. The same model that can speed up drug discovery can potentially help with dangerous biological research. Anthropic has therefore introduced stronger safeguards around high-risk biological queries and says its models should not provide serious assistance to people seeking to create biological weapons. A warning about where AI is heading The disclosure comes as AI companies face growing pressure over the misuse of increasingly powerful models. Anthropic's latest threat report also describes attempts to use Claude for cyberattacks, surveillance, influence operations and conventional weapons-related work. The biological cases are particularly sensitive because mistakes in this area could have consequences far beyond the person using the AI. For Anthropic, the message is clear: AI safety is no longer only about what models might do in theory. Companies are now having to detect and stop potentially dangerous uses in the real world.

Anthropic says it disrupted several attempts by scientists to use Claude AI for sensitive biological research that could potentially aid biological weapons development.&nbsp;

Anthropic says scientists used Claude AI for research that could aid biological weapons development

Anthropic has reported that a Yemen-based guided weapons engineering cell used its Claude AI models to develop software for several weapons programmes, including a guided rocket and missile systems. The activity was detailed in Anthropic’s September 2026 threat-intelligence report, “Detecting and Countering Misuse of AI”. The company said the activity occurred between December 2025 and August 2026. Anthropic described the actors as a “Yemen-based guided weapons engineering cell” operating in northern Yemen. It did not explicitly identify the cell as the Houthis, but the reported activity took place in Houthi-controlled territory. The cell has been described in subsequent reports as Houthi-linked.&nbsp;<h2>Three weapons programmes identified</h2>Anthropic said the actors used Claude models, including Claude Haiku, Sonnet and Opus, as well as Claude Code. The company investigated the activity, banned the associated accounts and shared information with government and industry partners.&nbsp;<a href="https://www.wionews.com/videos/houthis-vs-saudi-arabia-structures-at-king-khalid-air-base-damaged-1789012190643/embed">https://www.wionews.com/videos/houthis-vs-saudi-arabia-structures-at-king-khalid-air-base-damaged-1789012190643/embed</a>Anthropic identified three weapons-development programmes associated with the Yemen-based cell.One involved a guided rocket using a commercially available, phone-class flight computer and final-phase homing guidance designed to steer the rocket towards a target.A second programme was for a multi-stage ballistic missile with a stated range goal of more than 2,000 kilometres.The third, referred to as the “R2000” set, involved proposed missile variants, including one incorporating a hypersonic glide vehicle.Also read: <a href="https://www.wionews.com/world/houthis-capture-al-mokha-yemen-bab-el-mandeb-red-sea-1789041773019">Houthis capture Yemen's al Mokha port city, advance towards strategic Bab el-Mandeb</a><h2>How Claude was used in weapons development by Yemen-based group</h2>According to Anthropic, Claude Code was used as a substitute for human software engineers for parts of the development of guidance, navigation and control (GNC) software. GNC software is used to steer and stabilise flying vehicles.The reported uses included integrating an open-source autopilot onto a phone-class flight computer, writing control and position-estimation software, tuning control settings, running firmware build pipelines and conducting flight simulations.The actors used multiple Claude instances at the same time, each handling coding, research and code review. Human operators directed the overall work.Anthropic said the cell also attempted to conceal the full purpose of its activities by dividing work across multiple Claude sessions. As a result, no individual conversation revealed the true intent of the weapons programme.The company said its safeguards blocked many weapons-related requests, but not all, as the actors found ways to work around some of its access controls and refusals. The group concealed its objectives and divided tasks in an effort to avoid triggering its safety systems.Also read: <a href="https://www.wionews.com/world/pakistan-walks-back-on-houthi-warning-rules-out-military-action-under-mecca-pact-1789048794860">Pakistan walks back Houthi threat, rules out military action as rebels target Saudi Arabia</a><h2>Claude consulted after guided-rocket test failed</h2>Anthropic said it had no evidence that the actors successfully fielded an operational weapon. However, the company reported that the cell carried out a live field test of a guided rocket.The test appeared to have failed. Anthropic said the actors returned to Claude shortly afterwards to diagnose the failure and investigate what had gone wrong.The disclosure does not establish that Claude independently designed or built a functioning weapon. But it shows that the AI models were used to assist human operators with engineering, coding, simulation and troubleshooting tasks connected to weapons development.Anthropic said it detected the activity through its own investigations into suspected weapons-related misuse, banned the relevant accounts, and shared information with the government and industry partners.The Yemen case was part of a wider set of examples in Anthropic’s September report concerning the misuse of AI models. The company found weapons-related activity in China and Russia, including the use of AI agents and code in drone-related work.&nbsp;&nbsp;

Anthropic said in its latest threat report that a Yemen-based weapons cell used Claude AI to develop missile guidance software and test a guided rocket. Reports say it could be the Houthis


Anthropic has reported that a Yemen-based guided weapons engineering cell used its Claude AI models to develop software for several weapons programmes, including a guided rocket and missile systems. The activity was detailed in Anthropic’s September 2026 threat-intelligence report, “Detecting and Countering Misuse of AI”. The company said the activity occurred between December 2025 and August 2026. Anthropic described the actors as a “Yemen-based guided weapons engineering cell” operating in northern Yemen. It did not explicitly identify the cell as the Houthis, but the reported activity took place in Houthi-controlled territory. The cell has been described in subsequent reports as Houthi-linked. Three weapons programmes identified Anthropic said the actors used Claude models, including Claude Haiku, Sonnet and Opus, as well as Claude Code. The company investigated the activity, banned the associated accounts and shared information with government and industry partners. https://www.wionews.com/videos/houthis-vs-saudi-arabia-structures-at-king-khalid-air-base-damaged-1789012190643/embed Anthropic identified three weapons-development programmes associated with the Yemen-based cell. One involved a guided rocket using a commercially available, phone-class flight computer and final-phase homing guidance designed to steer the rocket towards a target. A second programme was for a multi-stage ballistic missile with a stated range goal of more than 2,000 kilometres. The third, referred to as the “R2000” set, involved proposed missile variants, including one incorporating a hypersonic glide vehicle. Also read: Houthis capture Yemen's al Mokha port city, advance towards strategic Bab el-Mandeb How Claude was used in weapons development by Yemen-based group According to Anthropic, Claude Code was used as a substitute for human software engineers for parts of the development of guidance, navigation and control (GNC) software. GNC software is used to steer and stabilise flying vehicles. The reported uses included integrating an open-source autopilot onto a phone-class flight computer, writing control and position-estimation software, tuning control settings, running firmware build pipelines and conducting flight simulations. The actors used multiple Claude instances at the same time, each handling coding, research and code review. Human operators directed the overall work. Anthropic said the cell also attempted to conceal the full purpose of its activities by dividing work across multiple Claude sessions. As a result, no individual conversation revealed the true intent of the weapons programme. The company said its safeguards blocked many weapons-related requests, but not all, as the actors found ways to work around some of its access controls and refusals. The group concealed its objectives and divided tasks in an effort to avoid triggering its safety systems. Also read: Pakistan walks back Houthi threat, rules out military action as rebels target Saudi Arabia Claude consulted after guided-rocket test failed Anthropic said it had no evidence that the actors successfully fielded an operational weapon. However, the company reported that the cell carried out a live field test of a guided rocket. The test appeared to have failed. Anthropic said the actors returned to Claude shortly afterwards to diagnose the failure and investigate what had gone wrong. The disclosure does not establish that Claude independently designed or built a functioning weapon. But it shows that the AI models were used to assist human operators with engineering, coding, simulation and troubleshooting tasks connected to weapons development. Anthropic said it detected the activity through its own investigations into suspected weapons-related misuse, banned the relevant accounts, and shared information with the government and industry partners. The Yemen case was part of a wider set of examples in Anthropic’s September report concerning the misuse of AI models. The company found weapons-related activity in China and Russia, including the use of AI agents and code in drone-related work.

Anthropic said in its latest threat report that a Yemen-based weapons cell used Claude AI to develop missile guidance software and test a guided rocket. Reports say it could be the Houthis &nbsp;

Houthis used Claude AI for weapons development and guided-rocket test? What Anthropic threat report claimed

Apple has delivered an unwelcome surprise for Indian iPhone buyers: prices have jumped across almost its entire range following the launch of the iPhone 18 Pro series.The iPhone 18 Pro now starts at Rs 1,64,900, up Rs 30,000 from the iPhone 17 Pro. That is a 22% increase. The iPhone 18 Pro Max starts at Rs 1,79,900, up 20% from its predecessor.Even older models have become more expensive, making the latest Apple launch particularly significant for Indian consumers.<h2>iPhone 17, 17e and 16 also get pricier</h2>The 256GB iPhone 17 now costs Rs 99,900, compared with Rs 82,900 previously. Its 512GB version rises to Rs 1,24,900.The <a href="https://www.apple.com/in/iphone/">iPhone</a> 17e is now listed from Rs 64,900 for 256GB, while the iPhone Air starts at Rs 1,19,900.The biggest percentage increase is on the 1TB iPhone Air, which has risen from Rs 1,59,900 to Rs 2,24,900 a 40.6% jump.<h2>Why are iPhones getting so expensive?</h2>Counterpoint Research's Tarun Pathak said India's increases are much steeper than the roughly 8-10% global trend. He pointed to higher memory costs, a weaker rupee and increased domestic production costs. The first foldable iPhone also enters India at a premium. The iPhone Duo starts at Rs 2,99,900, with the top 2TB version reaching Rs 4,49,900. Counterpoint's Varun Mishra said the Duo's pricing is relatively competitive against rival foldables, but production could limit availability.<h2>What this means for Indian buyers</h2>The price shock could change buying decisions during the upcoming festive season. Consumers who wanted the latest Pro model now face a much higher entry price. Even buyers looking for an older iPhone are not escaping the increase. That could push more shoppers towards discounts, exchange offers and previous-generation stock rather than paying Apple's full launch prices. For Apple, however, the strategy is clear: push the premium end of the iPhone range higher while betting that its huge installed base will continue to upgrade. &nbsp;

Apple has sharply increased iPhone prices in India. The iPhone 18 Pro starts at Rs 1,64,900, up 22%, while the 1TB iPhone Air has jumped 40.6%. Older iPhone 17, 17e and 16 models have also become more expensive.

Apple has delivered an unwelcome surprise for Indian iPhone buyers: prices have jumped across almost its entire range following the launch of the iPhone 18 Pro series. The iPhone 18 Pro now starts at Rs 1,64,900, up Rs 30,000 from the iPhone 17 Pro. That is a 22% increase. The iPhone 18 Pro Max starts at Rs 1,79,900, up 20% from its predecessor. Even older models have become more expensive, making the latest Apple launch particularly significant for Indian consumers. iPhone 17, 17e and 16 also get pricier The 256GB iPhone 17 now costs Rs 99,900, compared with Rs 82,900 previously. Its 512GB version rises to Rs 1,24,900. The iPhone 17e is now listed from Rs 64,900 for 256GB, while the iPhone Air starts at Rs 1,19,900. The biggest percentage increase is on the 1TB iPhone Air, which has risen from Rs 1,59,900 to Rs 2,24,900 a 40.6% jump. Why are iPhones getting so expensive? Counterpoint Research's Tarun Pathak said India's increases are much steeper than the roughly 8-10% global trend. He pointed to higher memory costs, a weaker rupee and increased domestic production costs. The first foldable iPhone also enters India at a premium. The iPhone Duo starts at Rs 2,99,900, with the top 2TB version reaching Rs 4,49,900. Counterpoint's Varun Mishra said the Duo's pricing is relatively competitive against rival foldables, but production could limit availability. What this means for Indian buyers The price shock could change buying decisions during the upcoming festive season. Consumers who wanted the latest Pro model now face a much higher entry price. Even buyers looking for an older iPhone are not escaping the increase. That could push more shoppers towards discounts, exchange offers and previous-generation stock rather than paying Apple's full launch prices. For Apple, however, the strategy is clear: push the premium end of the iPhone range higher while betting that its huge installed base will continue to upgrade.

Apple has sharply increased iPhone prices in India. The iPhone 18 Pro starts at Rs 1,64,900, up 22%, while the 1TB iPhone Air has jumped 40.6%. Older iPhone 17, 17e and 16 models have also become more expensive.

Apple hikes iPhone prices in India: Check new prices for iPhone 17, Air and 18 Pro

Apple has made one of its biggest product moves in years, launching the iPhone 18 Pro, iPhone 18 Pro Max and its first-ever foldable iPhone, the iPhone Duo.

The September 9 keynote was also the first major iPhone launch led by new CEO John Ternus. Alongside the new iPhones, Apple unveiled the Apple Watch Series 12, Watch Ultra 4 and AirPods 5.For Indian buyers, the iPhone 18 Pro starts at Rs 1,64,900, while the iPhone Duo starts at Rs 2,99,900. The Pro models go on pre-order in India from 5:30pm IST on September 12, with sales beginning September 18.<h2> iPhone 18 Pro and Pro Max: What’s new?</h2>The iPhone 18 Pro and Pro Max are powered by Apple's new A20 Pro chip. The biggest camera upgrade is a 48MP Fusion Main camera with variable aperture. Apple says this gives users more control over how much light enters the lens, bringing more flexibility to photography. The phones also get a smaller Dynamic Island, improved sustained performance and major battery improvements. The Pro Max is claimed to deliver the biggest battery-life increase ever seen on an iPhone.The iPhone 18 Pro starts at Rs 1,64,900, while the Pro Max starts at Rs 1,79,900 in India. Both are available with up to 2TB storage.<img src="https://www.apple.com/newsroom/images/2026/09/apple-debuts-iphone-18-pro-and-iphone-18-pro-max/article/Apple-iPhone-18-Pro-color-lineup-260909_big.jpg.large.jpg" alt="iPhone 18 Pro is displayed in black, silver, glacier, and burgundy."> &nbsp;

<h2>Apple finally enters the foldable phone race</h2>The biggest surprise is iPhone Duo, Apple's first foldable iPhone. It opens into a 7.6-inch display and has a 5.4-inch outer screen when folded. It uses a titanium design, A20 Pro chip and a new hinge system.The Duo starts at Rs 2,99,900 in India. Pre-orders begin October 16, with sales starting October 23.

<figure class="image"><img src="https://www.apple.com/newsroom/images/2026/09/apple-unveils-iphone-duo/article/Apple-iPhone-Duo-colors-260909_big.jpg.large.jpg" alt="Apple unveils iPhone Duo - Apple"></figure><h2>Apple Watch, AirPods and Siri AI</h2>Apple Watch Series 12 starts at $399, while Watch Ultra 4 starts at $799. Both introduce Apple's new Health Sensing System, higher-frequency heart-rate and HRV measurements and a new readiness score. Ultra 4 offers up to 45 hours of outdoor workout tracking. Apple also launched AirPods 5, starting at $129. They bring open-ear Active Noise Cancellation, improved sound and hands-free Siri AI access. Finally, iOS 27 brings Siri AI, smarter Apple Intelligence features and new AI-powered tools across Apple's ecosystem. Siri AI will initially roll out as a beta in English on September 14. &nbsp;&nbsp;

Apple has launched the iPhone 18 Pro, Pro Max and first foldable iPhone Duo, alongside Apple Watch Series 12, Ultra 4 and AirPods 5. The iPhone 18 Pro starts at Rs 1,64,900 in India, while the Duo starts at Rs 2,99,900.

Apple has made one of its biggest product moves in years, launching the iPhone 18 Pro, iPhone 18 Pro Max and its first-ever foldable iPhone, the iPhone Duo.

Apple has launched the iPhone 18 Pro, Pro Max and first foldable iPhone Duo, alongside Apple Watch Series 12, Ultra 4 and AirPods 5. The iPhone 18 Pro starts at Rs 1,64,900 in India, while the Duo starts at Rs 2,99,900.

Apple iPhone 18 Pro, foldable iPhone Duo launched: Everything announced at the 2026 keynote

Google DeepMind has created an AI-powered map of about 9 billion possible single-letter changes in human DNA, giving scientists a new way to search for genetic mutations that could matter for disease and biology.&nbsp;Called AlphaGenome Atlas, the platform contains precomputed predictions for every possible single-nucleotide variant in the human genome. DeepMind says testing billions of possible changes individually in laboratories would be practically impossible. The company has made the resource available for academic research through a free website, alongside its AlphaGenome API.

<blockquote class="twitter-tweet">We’re launching AlphaGenome Atlas: an AI-powered searchable database mapping the predicted impact of all 9 billion possible single-letter DNA changes. Here’s how it could help researchers better understand our biology 🧵 <a href="https://t.co/SABFZW5SiR">pic.twitter.com/SABFZW5SiR</a>&mdash; Google DeepMind (@GoogleDeepMind) <a href="https://x.com/GoogleDeepMind/status/2097325048109384166?ref_src=twsrc%5Etfw">September 8, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>What does AlphaGenome Atlas actually do?</h2>Think of it as a giant search map for DNA. The Atlas uses predictions from AlphaGenome, DeepMind’s AI model designed to predict how genetic variants affect biological processes. It covers both the part of DNA that produces proteins and the much larger non-coding portion that helps control gene activity.&nbsp;DeepMind says the Atlas is a 1-petabyte dataset, more than 30 times larger than the AlphaFold Database.&nbsp;It also introduces an AlphaGenome Variant Impact (AVI) score. The score gives researchers a single way to rank potentially important genetic changes and investigate what biological processes they may disrupt.&nbsp;<h2>Why could 9 billion DNA changes matter?</h2>The human genome contains an enormous number of possible variations. Finding the few changes that actually matter for a disease can be like searching for a needle in a haystack. DeepMind says researchers have already used AlphaGenome Atlas in rare-disease research and studies of common traits.&nbsp;In one example, researchers working with the Broad Institute used the AVI score to prioritise a variant linked to DNM1, a gene associated with epileptic encephalopathy. Experimental work then validated the predicted effect.&nbsp;Another study using data from more than 54,000 UK Biobank participants identified 22% more non-coding genetic associations by grouping variants according to their predicted molecular effects.<h2>What happens next?</h2>DeepMind says AlphaGenome Atlas is a starting point rather than an endpoint. As its AI models improve, the company expects the predictions to become more comprehensive and precise. The goal is not to replace laboratory research. Instead, the Atlas could help scientists decide which genetic changes deserve closer investigation first. That could speed up research into genetic disorders, disease mechanisms and potential therapeutic targets while leaving the crucial experimental validation to scientists.

Google DeepMind has launched AlphaGenome Atlas, an AI-powered database mapping predictions for about 9 billion possible single-letter DNA changes. The tool helps researchers rank potentially important genetic variants and could accelerate research into rare diseases and human biology.


Google DeepMind has created an AI-powered map of about 9 billion possible single-letter changes in human DNA, giving scientists a new way to search for genetic mutations that could matter for disease and biology. Called AlphaGenome Atlas, the platform contains precomputed predictions for every possible single-nucleotide variant in the human genome. DeepMind says testing billions of possible changes individually in laboratories would be practically impossible. The company has made the resource available for academic research through a free website, alongside its AlphaGenome API.

Google DeepMind has launched AlphaGenome Atlas, an AI-powered database mapping predictions for about 9 billion possible single-letter DNA changes. The tool helps researchers rank potentially important genetic variants and could accelerate research into rare diseases and human biology.

Google DeepMind maps 9 billion DNA mutations: How AI could help solve rare diseases

Google has rolled out major changes to its Search results in Europe after coming under pressure from the European Union's antitrust regulators.&nbsp;The company says the changes could make Search worse for European users and increase costs for businesses. The overhaul follows a €460 million ($534 million) EU fine in July for allegedly giving Google's own services an unfair advantage in Search. Google described the move as the biggest reduction in the quality of its Search service in its 29-year history.&nbsp;<h2>What is changing on Google Search?</h2>The biggest change affects searches for services such as hotels, flights and restaurants. Google will give greater visibility to specialised comparison services, known as vertical search services. Sites such as Booking.com and Expedia could receive more prominent placement than individual businesses that simply provide their own website, phone number or address. A new format will place one specialised search service prominently at the top, followed by two others with less information.&nbsp;Google will also show carousels for hotels, airlines and restaurants. However, features such as real-time prices will be removed from those displays. The rankings will ultimately be decided by Google's search algorithm.&nbsp;<h2>Why is the EU forcing Google to change?</h2>The European Commission found that Google had given its own services more prominent treatment than competing third-party services, including in shopping, hotels, transport and sports. Under the Digital Markets Act (DMA), gatekeepers are required to treat competing services fairly. Google was given 60 days to comply or face periodic penalty payments of up to 5% of its worldwide turnover.The EU also fined Google another €430 million over restrictions on how app developers could direct users towards cheaper offers outside Google Play. That took Google's two July DMA fines to €890 million.&nbsp;<h2>Google says businesses could lose traffic</h2>Google argues the changes will hurt local businesses that depend on direct Search traffic. The company said earlier DMA-related changes had already caused a 30% decline in free direct booking traffic to European businesses. Google also said tests involving millions of European users showed frustration because people sometimes had to repeat searches to find what they wanted. The European Commission, however, argues that the DMA is designed to create fairer competition and give users more choice. For now, the changes apply to European users. Google says users outside the EU will not be affected by this particular Search overhaul.

Google has changed Search results in Europe after a €460 million EU antitrust fine. Comparison sites such as Booking.com may get greater visibility, while Google warns the changes could reduce Search quality and hurt local businesses.

Google has rolled out major changes to its Search results in Europe after coming under pressure from the European Union's antitrust regulators. The company says the changes could make Search worse for European users and increase costs for businesses. The overhaul follows a €460 million ($534 million) EU fine in July for allegedly giving Google's own services an unfair advantage in Search. Google described the move as the biggest reduction in the quality of its Search service in its 29-year history. What is changing on Google Search? The biggest change affects searches for services such as hotels, flights and restaurants. Google will give greater visibility to specialised comparison services, known as vertical search services. Sites such as Booking.com and Expedia could receive more prominent placement than individual businesses that simply provide their own website, phone number or address. A new format will place one specialised search service prominently at the top, followed by two others with less information. Google will also show carousels for hotels, airlines and restaurants. However, features such as real-time prices will be removed from those displays. The rankings will ultimately be decided by Google's search algorithm. Why is the EU forcing Google to change? The European Commission found that Google had given its own services more prominent treatment than competing third-party services, including in shopping, hotels, transport and sports. Under the Digital Markets Act (DMA), gatekeepers are required to treat competing services fairly. Google was given 60 days to comply or face periodic penalty payments of up to 5% of its worldwide turnover. The EU also fined Google another €430 million over restrictions on how app developers could direct users towards cheaper offers outside Google Play. That took Google's two July DMA fines to €890 million. Google says businesses could lose traffic Google argues the changes will hurt local businesses that depend on direct Search traffic. The company said earlier DMA-related changes had already caused a 30% decline in free direct booking traffic to European businesses. Google also said tests involving millions of European users showed frustration because people sometimes had to repeat searches to find what they wanted. The European Commission, however, argues that the DMA is designed to create fairer competition and give users more choice. For now, the changes apply to European users. Google says users outside the EU will not be affected by this particular Search overhaul.

Google has changed Search results in Europe after a €460 million EU antitrust fine. Comparison sites such as Booking.com may get greater visibility, while Google warns the changes could reduce Search quality and hurt local businesses.

Google warns Europeans will get worse Search results under new EU rules

Google is turning towards air cooling for new data centres as the explosive growth of artificial intelligence creates a new problem: how to remove enormous amounts of heat without using huge quantities of water. The issue is becoming more important as data centres grow towards unprecedented sizes. Facilities approaching 1 gigawatt of power capacity are being planned, including Google’s proposed project in Visakhapatnam.&nbsp;Almost all electricity used by computing equipment eventually becomes heat. A 1-GW facility could therefore need to continuously remove roughly 1 GW of heat.<h2>Why Google is choosing air cooling</h2>Traditional air cooling uses fans and air-handling systems to move cool air through server racks and remove hot air. It is a mature technology and generally requires simpler infrastructure than liquid cooling. Most importantly, it can significantly reduce the amount of water needed for cooling.&nbsp;That matters in regions where water resources are already under pressure. Google’s reported approach at its Visakhapatnam project therefore highlights a growing trade-off for the AI industry: computers need more power, but cooling them can require more resources too.&nbsp;<h2>AI chips are creating a massive heat problem</h2>There is a catch. Air is not particularly good at carrying large amounts of heat. As AI processors become more powerful, individual server racks are producing far more heat. Air cooling can practically handle around 40 kW per rack, according to the supplied analysis, while high-end AI racks can reach 120–150 kW. At those levels, cooling requires enormous airflow and powerful fans. That consumes electricity, takes up space and can create more noise. This is why liquid cooling is becoming increasingly important for high-density AI computing.&nbsp;<h2>Why liquid cooling is not the only answer</h2>Direct-to-chip liquid cooling sends coolant through cold plates attached to processors, allowing heat to be removed much more efficiently than with air. Immersion cooling goes further by placing components directly into a non-conductive liquid.&nbsp;<h2>But these systems cost more and require specialised infrastructure.</h2>That is pushing the industry towards a hybrid approach. Lower-density equipment can use air, while the hottest AI clusters use liquid cooling or rear-door heat exchangers. The contrast is already visible in India. Google’s reported air-cooling approach focuses on reducing water use, while TCS’s proposed 1-GW HyperVault facility is being designed around higher-density computing and direct-to-chip cooling. The lesson is clear: as AI data centres become bigger and hotter, cooling is becoming just as important as the chips themselves.

Google is turning towards air cooling for new data centres to reduce water use as AI drives computing power and heat higher. 

Google is turning towards air cooling for new data centres as the explosive growth of artificial intelligence creates a new problem: how to remove enormous amounts of heat without using huge quantities of water. The issue is becoming more important as data centres grow towards unprecedented sizes. Facilities approaching 1 gigawatt of power capacity are being planned, including Google’s proposed project in Visakhapatnam. Almost all electricity used by computing equipment eventually becomes heat. A 1-GW facility could therefore need to continuously remove roughly 1 GW of heat. Why Google is choosing air cooling Traditional air cooling uses fans and air-handling systems to move cool air through server racks and remove hot air. It is a mature technology and generally requires simpler infrastructure than liquid cooling. Most importantly, it can significantly reduce the amount of water needed for cooling. That matters in regions where water resources are already under pressure. Google’s reported approach at its Visakhapatnam project therefore highlights a growing trade-off for the AI industry: computers need more power, but cooling them can require more resources too. AI chips are creating a massive heat problem There is a catch. Air is not particularly good at carrying large amounts of heat. As AI processors become more powerful, individual server racks are producing far more heat. Air cooling can practically handle around 40 kW per rack, according to the supplied analysis, while high-end AI racks can reach 120–150 kW. At those levels, cooling requires enormous airflow and powerful fans. That consumes electricity, takes up space and can create more noise. This is why liquid cooling is becoming increasingly important for high-density AI computing. Why liquid cooling is not the only answer Direct-to-chip liquid cooling sends coolant through cold plates attached to processors, allowing heat to be removed much more efficiently than with air. Immersion cooling goes further by placing components directly into a non-conductive liquid. But these systems cost more and require specialised infrastructure. That is pushing the industry towards a hybrid approach. Lower-density equipment can use air, while the hottest AI clusters use liquid cooling or rear-door heat exchangers. The contrast is already visible in India. Google’s reported air-cooling approach focuses on reducing water use, while TCS’s proposed 1-GW HyperVault facility is being designed around higher-density computing and direct-to-chip cooling. The lesson is clear: as AI data centres become bigger and hotter, cooling is becoming just as important as the chips themselves.

Google is turning towards air cooling for new data centres to reduce water use as AI drives computing power and heat higher.&nbsp;

Google turns to air cooling for new data centres to cut water use

OpenAI says its AI has achieved a breakthrough that mathematicians have spent nearly 90 years chasing. The company has published what it describes as an AI-generated solution to the Navier-Stokes existence and smoothness problem, one of the seven Millennium Prize Problems.&nbsp;The claimed solution was produced in about 88 hours using around 10,000 coordinating AI agents. OpenAI says the agents developed an analytical proof and a formal version in Lean, while another AI system helped verify the formalisation. But this is not yet the same as mathematics officially declaring the problem solved.

<blockquote class="twitter-tweet">We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem… <a href="https://t.co/8zol3BPTL4">pic.twitter.com/8zol3BPTL4</a>&mdash; OpenAI (@OpenAI) <a href="https://x.com/OpenAI/status/2097374640582668336?ref_src=twsrc%5Etfw">September 8, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>What is the Navier-Stokes problem?</h2>The Navier-Stokes equations describe how fluids such as water and air move. The famous problem asks whether smooth three-dimensional fluid motion can remain mathematically well behaved, or whether it can develop a singularity where the solution breaks down.The Clay Mathematics Institute selected it as one of seven Millennium Prize Problems in 2000. Each carries a $1 million prize for an accepted solution. OpenAI says its proof shows that a fluid can develop a singularity in finite time, using a vortex that becomes increasingly elongated as it spirals inward.<h2>10,000 AI agents worked together</h2>The scale of the experiment is almost as striking as the claimed result. OpenAI says its agents sent 2.7 million messages and generated around 130 billion output tokens while working on Navier-Stokes.Across all the mathematical problems attempted, the figures reached 4.9 million messages and about 300 billion output tokens. The Navier-Stokes result itself took about 88 hours, followed by another 17 hours of Lean formalisation and verification using GPT-6 Astra. This was not simply a chatbot answering a difficult maths question. It was a large-scale AI research effort in which thousands of agents explored different approaches and researchers helped transfer useful ideas between groups.<h2>Why mathematicians are still cautious</h2>OpenAI's announcement is significant, but the proof still needs serious scrutiny. The mathematics community must determine whether the argument fully satisfies the exact Millennium Prize problem, rather than proving a related statement. There is also a dispute over research credit. Mathematicians Tristan Buckmaster and Levent Alpöge have questioned whether OpenAI's work overlaps with related research they had been pursuing. OpenAI says its solution was developed independently and denies improperly using their work.&nbsp;For now, the safest description is therefore an extraordinary AI-generated proposed solution awaiting wider mathematical validation. If it survives that scrutiny, however, it could mark a major shift in what AI systems are capable of discovering moving from solving problems humans already understand to helping tackle mathematical questions that have resisted generations of researchers.

OpenAI says an unreleased AI system produced a solution to the 90-year-old Navier-Stokes problem in 88 hours using around 10,000 AI agents. 

OpenAI says its AI has achieved a breakthrough that mathematicians have spent nearly 90 years chasing. The company has published what it describes as an AI-generated solution to the Navier-Stokes existence and smoothness problem, one of the seven Millennium Prize Problems. The claimed solution was produced in about 88 hours using around 10,000 coordinating AI agents. OpenAI says the agents developed an analytical proof and a formal version in Lean, while another AI system helped verify the formalisation. But this is not yet the same as mathematics officially declaring the problem solved.

OpenAI says an unreleased AI system produced a solution to the 90-year-old Navier-Stokes problem in 88 hours using around 10,000 AI agents.&nbsp;

OpenAI says 10,000 AI agents sent 2.7 million messages and generated 130 billion tokens to solve one of maths’ biggest unsolved problems in 88 hours

An Anthropic AI researcher has resigned and issued a stark warning about the future of artificial intelligence, accusing leading AI companies of racing towards self-improving superintelligence without enough safeguards.Jacob Coxon, who said he spent the past three years doing pretraining research at both OpenAI and Anthropic, announced his resignation on X on September 9.

<blockquote class="twitter-tweet">I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.&mdash; Jacob Coxon (@hilbertspaess) <a href="https://x.com/hilbertspaess/status/2097476196791709843?ref_src=twsrc%5Etfw">September 9, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

“I resigned from Anthropic today,” Coxon wrote. “Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives.”His warning quickly became the focus of a wider debate over how fast frontier AI development should move.

<blockquote class="twitter-tweet">The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt. If anything, many executives and senior researchers will couch their phrasing in the press to sound sensible - but I hear the same people express fear…&mdash; Jacob Coxon (@hilbertspaess) <a href="https://x.com/hilbertspaess/status/2097476203863224394?ref_src=twsrc%5Etfw">September 9, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>‘AI could kill us all by the end of the decade’</h2>Coxon made his most serious claim when discussing what people inside AI companies allegedly believe about the technology. “The people building AI earnestly believe that it could kill us all by the end of the decade,” he wrote.He said this was not a marketing tactic and claimed executives and senior researchers privately express fears that are more severe than their public comments suggest.&nbsp;Coxon also warned against underestimating increasingly capable AI systems.&nbsp;“These will soon be superhuman systems that can hack anything, revolutionize any field overnight, and acquire real power and resources,” he wrote.&nbsp;<h2>Why would companies keep building it?</h2>Coxon addressed the obvious question: if researchers believe the technology could be catastrophic, why continue developing it?He argued that the motivations differ between companies.&nbsp;“At OpenAI, many have not deeply internalized the civilizational stakes,” he wrote. “At Anthropic, the stakes are well-understood, but they are locked in a race to get there first.”He described entering this phase as a “hubristic gamble” and argued that decisions about potentially superintelligent systems should not be made inside private-company Slack channels.&nbsp;<h2>Coxon calls for a different AI path</h2>Coxon said he remains optimistic that AI companies could coordinate rather than race.He called for stronger agreements between leading US AI labs and suggested that extreme measures, including a temporary ban on improving model capabilities, may eventually be necessary.&nbsp;<h2>His final message was aimed directly at AI researchers.</h2>“Do you want to kick off a superintelligent RL run without a rigorous understanding of its mind?” he asked, urging researchers to question whether “it’s happening anyway” is a good enough reason to continue.Coxon’s resignation comes as other researchers publicly debate the risks of recursive self-improvement. Anthropic researcher Evan Hubinger has also said the company does not yet have a clear solution for aligning a future superintelligent system. For the AI industry, Coxon’s departure is therefore more than one researcher leaving a job. It is another public warning from inside a frontier AI lab about whether the race towards increasingly powerful systems is moving faster than humanity’s ability to control them.&nbsp;

Anthropic researcher Jacob Coxon has resigned after warning that OpenAI and Anthropic are racing towards self-improving superintelligence. He says people building AI fear it could become catastrophic by the end of the decade and calls for stronger coordination and slower development.

An Anthropic AI researcher has resigned and issued a stark warning about the future of artificial intelligence, accusing leading AI companies of racing towards self-improving superintelligence without enough safeguards. Jacob Coxon, who said he spent the past three years doing pretraining research at both OpenAI and Anthropic, announced his resignation on X on September 9.

Anthropic researcher Jacob Coxon has resigned after warning that OpenAI and Anthropic are racing towards self-improving superintelligence. He says people building AI fear it could become catastrophic by the end of the decade and calls for stronger coordination and slower development.

'They are gambling with our lives': Anthropic researcher quits over AI race fears

Apple is holding its biggest hardware event of the year today, September 9, and it marks a major moment for the company. The “Surprise and shine” keynote will be the first major Apple product launch under new CEO John Ternus, who took over from Tim Cook earlier this month. The event will begin at 10:30 PM IST in India.&nbsp;The biggest expected announcements are the iPhone 18 Pro and iPhone 18 Pro Max, alongside Apple’s first foldable iPhone, which reports suggest could be called the iPhone Ultra. Apple has not confirmed the product names or specifications.<h2>Apple event September 9: Where to watch in India</h2>The keynote begins at:Date: Wednesday, September 9, 2026Time: 10:30 PM ISTUS time: 10 AM PTLocation: Apple Park, CupertinoWatch online: Apple’s website, Apple TV app and YouTube Live&nbsp;Apple has confirmed the 10 AM PT start and says viewers can watch through Apple.com, the Apple TV app or YouTube Live.<h2>iPhone 18 Pro and foldable iPhone: What to expect</h2>The iPhone 18 Pro and Pro Max are expected to bring upgraded processors and camera changes, while Apple’s first foldable could be the biggest new product in years. Reports have pointed to a book-style foldable with a large inner display and a smaller outer screen. Reuters says the device is expected to be a high-end model costing more than $2,500, while the Pro and Pro Max models are also expected to receive upgrades.&nbsp;The foldable is reportedly expected to use a new hinge design aimed at reducing the visible crease. Other reports have suggested Touch ID could return and that the device could be considerably thinner when opened. However, these details remain unconfirmed until Apple takes the stage.&nbsp;<h2>Apple Watch, AirPods and more could also appear</h2>The iPhone may not be the only attraction. Apple is also expected to unveil new Apple Watch and AirPods models, with reports pointing to the Apple Watch Series 12, Apple Watch Ultra 4 and AirPods 5. There is also speculation around new smart-home products, although some announcements could be held for a later event.&nbsp;For John Ternus, however, the biggest challenge will be larger than any single device. His first keynote as CEO comes as Apple tries to maintain iPhone momentum while making a major entry into the foldable market and competing more aggressively in AI. The first Apple event of the Ternus era begins tonight at 10:30 PM IST.

Apple’s September 9 “Surprise and shine” event begins at 10:30 PM IST today. It is the first major Apple keynote under CEO John Ternus, with the iPhone 18 Pro, Pro Max and a first foldable iPhone widely expected to headline the event.

Apple is holding its biggest hardware event of the year today, September 9, and it marks a major moment for the company. The “Surprise and shine” keynote will be the first major Apple product launch under new CEO John Ternus, who took over from Tim Cook earlier this month. The event will begin at 10:30 PM IST in India. The biggest expected announcements are the iPhone 18 Pro and iPhone 18 Pro Max, alongside Apple’s first foldable iPhone, which reports suggest could be called the iPhone Ultra. Apple has not confirmed the product names or specifications. Apple event September 9: Where to watch in India The keynote begins at: Date: Wednesday, September 9, 2026 Time: 10:30 PM IST US time: 10 AM PT Location: Apple Park, Cupertino Watch online: Apple’s website, Apple TV app and YouTube Live Apple has confirmed the 10 AM PT start and says viewers can watch through Apple.com, the Apple TV app or YouTube Live. iPhone 18 Pro and foldable iPhone: What to expect The iPhone 18 Pro and Pro Max are expected to bring upgraded processors and camera changes, while Apple’s first foldable could be the biggest new product in years. Reports have pointed to a book-style foldable with a large inner display and a smaller outer screen. Reuters says the device is expected to be a high-end model costing more than $2,500, while the Pro and Pro Max models are also expected to receive upgrades. The foldable is reportedly expected to use a new hinge design aimed at reducing the visible crease. Other reports have suggested Touch ID could return and that the device could be considerably thinner when opened. However, these details remain unconfirmed until Apple takes the stage. Apple Watch, AirPods and more could also appear The iPhone may not be the only attraction. Apple is also expected to unveil new Apple Watch and AirPods models, with reports pointing to the Apple Watch Series 12, Apple Watch Ultra 4 and AirPods 5. There is also speculation around new smart-home products, although some announcements could be held for a later event. For John Ternus, however, the biggest challenge will be larger than any single device. His first keynote as CEO comes as Apple tries to maintain iPhone momentum while making a major entry into the foldable market and competing more aggressively in AI. The first Apple event of the Ternus era begins tonight at 10:30 PM IST.

Apple’s September 9 “Surprise and shine” event begins at 10:30 PM IST today. It is the first major Apple keynote under CEO John Ternus, with the iPhone 18 Pro, Pro Max and a first foldable iPhone widely expected to headline the event.

First Apple keynote hosted by new CEO John Ternus: Where to watch iPhone 18 Pro, Pro Max launch today

Robots building robots is no longer just a science-fiction idea. Chinese electric vehicle maker XPeng says it has commissioned an automated production line where humanoid robots can help manufacture other humanoid robots.&nbsp;XPeng CEO He Xiaopeng announced the development on X, calling it the world’s first automated production line for advanced general-purpose humanoid robots. The company says the system is designed to reduce manual involvement and help take humanoid production towards larger-scale manufacturing. The first robot produced on the line has also been given a name: IRON.&nbsp;

<blockquote class="twitter-tweet">Today, we launched the world’s first automated production line for advanced general‑purpose humanoid robots, using robots to mass‑produce robots, autonomously. This was uncharted territory, and we solved it from scratch. The commissioning of our production line means humanoid… <a href="https://t.co/qlpeSLJx77">pic.twitter.com/qlpeSLJx77</a>&mdash; Xiaopeng He (@xiaopenghexpeng) <a href="https://x.com/xiaopenghexpeng/status/2097135503015616798?ref_src=twsrc%5Etfw">September 8, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>XPeng’s IRON robot walks off the line</h2>According to He, IRON completed its assembly and then walked away from the production line on its own. The moment is significant because XPeng is not simply showing a robot performing one task inside a factory. The company says its manufacturing system can produce a complete advanced general-purpose humanoid.&nbsp;He shared images of the facility and IRON, saying the production line had been developed from scratch. However, XPeng has not disclosed how many robots the factory can currently produce, or provided detailed information about its production capacity.<h2>Why robots building robots matters</h2>The bigger challenge for the humanoid robotics industry may not simply be making robots walk, talk or perform tasks.&nbsp;It is making them cheaply and quickly enough to produce in large numbers.Humanoid robots contain complex mechanical, electrical and computing systems. If companies can automate more of the manufacturing process, production could eventually become faster and more consistent while reducing the need for manual assembly. That could be crucial if humanoids are ever expected to move beyond expensive prototypes and enter factories, warehouses, homes and other workplaces at scale.&nbsp;<h2>XPeng wants IRON to do more than factory work</h2>He said he hopes future versions of IRON will develop stronger general-purpose abilities.&nbsp;The longer-term goal is for humanoids to handle dangerous, repetitive or undesirable jobs that people may not want to perform. He also suggested a much more ambitious future, saying robots could one day become companions, friends or even part of a family.&nbsp;For now, that remains a vision rather than a demonstrated capability.&nbsp;XPeng has yet to reveal IRON’s full capabilities, commercial availability or the actual scale of the new production line. But the development highlights a major shift in the robotics race: companies are no longer only trying to build smarter humanoids. They are also trying to build the factories that can build them.&nbsp;

Chinese EV maker XPeng says it has launched an automated production line where humanoid robots help build other humanoid robots. Its first IRON robot reportedly completed assembly and walked off the line autonomously, though production capacity remains undisclosed.

Robots building robots is no longer just a science-fiction idea. Chinese electric vehicle maker XPeng says it has commissioned an automated production line where humanoid robots can help manufacture other humanoid robots. XPeng CEO He Xiaopeng announced the development on X, calling it the world’s first automated production line for advanced general-purpose humanoid robots. The company says the system is designed to reduce manual involvement and help take humanoid production towards larger-scale manufacturing. The first robot produced on the line has also been given a name: IRON.

Chinese EV maker XPeng says it has launched an automated production line where humanoid robots help build other humanoid robots. Its first IRON robot reportedly completed assembly and walked off the line autonomously, though production capacity remains undisclosed.

Future of manufacturing is here: Chinese EV maker sets up factory where robots are building robots

“AGI has arrived.” That is the striking verdict from Nvidia CEO Jensen Huang following OpenAI’s launch of GPT-6 Astra.&nbsp;Huang said Astra marks the arrival of artificial general intelligence (AGI), the long-discussed idea of AI capable of handling a broad range of intellectual tasks rather than being limited to one specific job. His claim is significant, but it is not an industry-wide certification. There is no universally accepted test that officially declares an AI model to be AGI. The statement has also revived a bigger question: if AI can increasingly perform work that once required humans, how much will the workplace change?&nbsp;<h2>Why Jensen Huang says AGI has arrived</h2>Huang pointed to the extraordinary computing power behind Astra. According to his post, the model was developed using more than 100,000 Nvidia Grace Blackwell NVLink72 systems over roughly four years of rapid AI development. He also said 400,000 more Nvidia GPUs are coming online. OpenAI has highlighted Astra’s performance across demanding tests. The company says the model reached 98% on FrontierMath Tier 4, 99.9% on ARC-AGI-3 and 100% on ExploitBench. Those results show major progress, but benchmark scores alone do not prove that a model has achieved human-level intelligence across the real world.&nbsp;<h2>Is this the beginning of an AI job crisis?</h2>That is where the AGI debate becomes much more important for ordinary workers. A genuinely general AI system could potentially handle a wider range of tasks across coding, research, analysis, administration and other knowledge work.But AGI does not automatically mean mass unemployment. The immediate impact will depend on how reliably companies can use systems such as Astra, how much they cost, and whether businesses use AI to replace workers, increase productivity or create new roles.&nbsp;<h2>Why 400,000 GPUs matter</h2>The enormous computing buildout is another signal that the AI race is nowhere near finished. Moving from a training run involving more than 100,000 GPUs towards hundreds of thousands more means huge demands for data centres, electricity, networking and investment.&nbsp;For Nvidia, that could mean continued demand for its AI infrastructure. But it also raises the stakes. Companies will need to prove that increasingly expensive AI systems deliver enough real-world value to justify the spending. Huang may believe AGI has already arrived. The more important test for everyone else will be what happens next in laboratories, businesses and, ultimately, the workplace.

Nvidia CEO Jensen Huang has declared that “AGI has arrived” following OpenAI’s GPT-6 Astra launch. He points to a training run using more than 100,000 Nvidia systems and says another 400,000 GPUs are coming online, intensifying debate over AI, jobs and the future of work.

“AGI has arrived.” That is the striking verdict from Nvidia CEO Jensen Huang following OpenAI’s launch of GPT-6 Astra. Huang said Astra marks the arrival of artificial general intelligence (AGI), the long-discussed idea of AI capable of handling a broad range of intellectual tasks rather than being limited to one specific job. His claim is significant, but it is not an industry-wide certification. There is no universally accepted test that officially declares an AI model to be AGI. The statement has also revived a bigger question: if AI can increasingly perform work that once required humans, how much will the workplace change? Why Jensen Huang says AGI has arrived Huang pointed to the extraordinary computing power behind Astra. According to his post, the model was developed using more than 100,000 Nvidia Grace Blackwell NVLink72 systems over roughly four years of rapid AI development. He also said 400,000 more Nvidia GPUs are coming online. OpenAI has highlighted Astra’s performance across demanding tests. The company says the model reached 98% on FrontierMath Tier 4, 99.9% on ARC-AGI-3 and 100% on ExploitBench. Those results show major progress, but benchmark scores alone do not prove that a model has achieved human-level intelligence across the real world. Is this the beginning of an AI job crisis? That is where the AGI debate becomes much more important for ordinary workers. A genuinely general AI system could potentially handle a wider range of tasks across coding, research, analysis, administration and other knowledge work. But AGI does not automatically mean mass unemployment. The immediate impact will depend on how reliably companies can use systems such as Astra, how much they cost, and whether businesses use AI to replace workers, increase productivity or create new roles. Why 400,000 GPUs matter The enormous computing buildout is another signal that the AI race is nowhere near finished. Moving from a training run involving more than 100,000 GPUs towards hundreds of thousands more means huge demands for data centres, electricity, networking and investment. For Nvidia, that could mean continued demand for its AI infrastructure. But it also raises the stakes. Companies will need to prove that increasingly expensive AI systems deliver enough real-world value to justify the spending. Huang may believe AGI has already arrived. The more important test for everyone else will be what happens next in laboratories, businesses and, ultimately, the workplace.

Nvidia CEO Jensen Huang has declared that “AGI has arrived” following OpenAI’s GPT-6 Astra launch. He points to a training run using more than 100,000 Nvidia systems and says another 400,000 GPUs are coming online, intensifying debate over AI, jobs and the future of work.

‘AGI has arrived’: Nvidia CEO says Astra is AGI! Layoff apocalypse now closer than you think

Businesses across sectors are entering a decisive new phase with the entry of Artificial intelligence (AI) into the industry. It is rapidly making a wider and significant transformation for different companies in terms of their requirement at the workstation for different roles. Alongside technical use, AI is being utilised extensively in several academic and administrative workforces, including drafting emails, summarising reports, and generating insights at speed. In addition, newer systems are being designed to update records or route decisions through pre-defined workflows. It can be said that all the businesses and firms which were utilising chatbots and content-generating tools earlier are now pushing AI beyond conversations, into systems that can actually execute tasks within business workflows. This shift marks a move from AI that advises to AI that acts, prompting firms to actually put AI to work in their day-to-day operations. In the recent past, several companies limited their AI efforts to pilot projects and proof-of-concept trials. But several experts indicated that this phase is now giving way to something more substantial: embedding AI directly into core business processes so it can make automated decisions, rather than simply supporting analysis. Reacting to it, the CEO of DAAS Labs, Prasad Rai, stated that real value from AI comes from building it into the heart of business processed along with isolated experiments. He underscored that the move needs firms to first get the basics right, including a solid data foundation, proper workflow integration and strong governance, before layering AI on top. Without that groundwork, he cautioned, companies simply end up repeating the same old limitations, just faster. "Organisations are now evolving beyond the early stage of AI adoption, which largely involved pilot projects, proof of concepts, and isolated experimentation. The true power of AI lies in embedding intelligence into the very heart of business processes, enabling faster, automated decision-making rather than analysis alone. This requires a proper data foundation, workflow integration, governance practices, and deliberate integration of AI into existing enterprise systems, because execution without this groundwork simply reproduces the limitations of the old process at greater speed, " Prasad Rai said. "AI Execution for us at DAAS Labs means the convergence of data, analytics, automation, and intelligence. With these capabilities combined, companies move beyond reacting to market conditions and begin anticipating them; they identify emerging opportunities, optimise operations, and make decisions with greater speed and accuracy. Predictive analytics, automation of routine processes, and AI-driven recommendations are already transforming how businesses operate, and this shift will only accelerate," he added. He further added that AI's future lies ahead with intelligence embedded within business processes, despite only being layered on top of them. Rai emphasised that AI should act as a continuous layer of intelligence that supports people, automates routine decisions, streamlines workflows, and produces measurable business outcomes. "The organisations that succeed in this transition will not be those that adopt AI the fastest, but those that execute on it with discipline, embedding it deeply enough to innovate at scale and remain competitive over the long term," he also said.&nbsp;Also read: <a href="https://www.wionews.com/trending/from-financial-awareness-to-financial-entertainment-how-india-s-money-mindset-is-changing-in-the-age-of-ai-1788432396144">From financial awareness to financial entertainment: How India's money mindset is changing in the age of AI</a><h3>Real barrier is trust, not technology</h3>Similarly, Sukesh Shetty, Founder and CEO of Away.ai, gave a different lens on the same topic, noting that most enterprises already have some AI pilot running, so adoption itself is no longer the challenge; trust is. He explained that there is a meaningful difference between AI recommending a course of action and AI being allowed to act on that decision without supervision. "Enterprises are no longer struggling to adopt AI; most already have a pilot running somewhere. The struggle now is trust, not adoption. Handing AI a decision, and letting it act on that decision unsupervised, is a different task than running a pilot. That gap rarely comes down to weak technology. It comes down to governance nobody has built yet, the accountability and the plan for when it gets something wrong. Plenty of companies are comfortable letting AI recommend an answer. Very few have built the oversight and the fallback needed to let it commit to one. Travel makes this clearest, where a wrong automated call costs someone a flight or a booking, a very different kind of mistake than a bad recommendation. People trust what AI tells them far more than they trust what AI does on their behalf, and that gap has nothing to do with better models. It comes down to earning the right to act, one small, verifiable decision at a time, before ever being handed a bigger one. Execution is not a more advanced form of adoption. It is a completely different level of trust, and most enterprises have not built that muscle yet," Shetty said. Sri Mookiah, Founder &amp; CEO, LOWCODEMINDS, said, "What we are seeing now is that enterprises have moved past asking whether they should adopt AI. Most are already experimenting with copilots, agents and different AI models. The harder question is whether any of this is actually changing how work gets done. That is where I believe Knowledge Work Automation becomes important. For years, we automated predictable, rules-based tasks, but a large part of enterprise work was still dependent on people reading documents, going through emails, pulling information from different systems, applying their experience and deciding what should happen next. AI is now allowing us to automate much more of that work." "But simply adding an AI agent on top of an existing process will not solve the problem. Enterprises need to look at the process itself, the data and context behind it, where decisions are being made and where human judgment is genuinely required. We are already seeing this play out in areas like Finance, Legal, Procurement and Operations. The real shift will happen when enterprises stop measuring AI adoption by the number of tools deployed and start measuring how much work is actually being executed better because of AI," Mookiah added.&nbsp;Similarly, Hitesh Agrawal, Founder &amp; Managing Director, Them Consulting, also said, “Most enterprises still talk about AI as an adoption story, but the real story now is execution, and execution comes with a different risk profile entirely. Giving a system write access into core databases is not a minor technical upgrade. It means a mistake that used to sit in a draft email now shows up in a customer's account balance. The data backs this up clearly. Enterprise AI failure rates sit between 70 and 85 per cent. Only around 5 per cent of scaled deployments ever show a verifiable financial return. That gap has almost nothing to do with model intelligence and almost everything to do with data hygiene, unclear approval boundaries, and workforce readiness.”&nbsp;“Banking has become the clearest test case for how far this can go. Fraud detection and underwriting are already running through agentic workflows at scale, and India's push toward agent-executed UPI payments shows where the ceiling is heading next. But the institutions doing this well are not the ones granting the most autonomy. They are the ones drawing firm thresholds around what an agent can do without sign-off, then investing just as heavily in retraining staff to supervise those decisions. Execution without that discipline is not innovation. It is just risk moving faster than anyone can catch it,” he added.

Alongside technical use, AI is being utilised extensively in several academic and administrative workforces, including drafting emails, summarising reports, and generating insights at speed.

Businesses across sectors are entering a decisive new phase with the entry of Artificial intelligence (AI) into the industry. It is rapidly making a wider and significant transformation for different companies in terms of their requirement at the workstation for different roles. Alongside technical use, AI is being utilised extensively in several academic and administrative workforces, including drafting emails, summarising reports, and generating insights at speed. In addition, newer systems are being designed to update records or route decisions through pre-defined workflows. It can be said that all the businesses and firms which were utilising chatbots and content-generating tools earlier are now pushing AI beyond conversations, into systems that can actually execute tasks within business workflows. This shift marks a move from AI that advises to AI that acts, prompting firms to actually put AI to work in their day-to-day operations. In the recent past, several companies limited their AI efforts to pilot projects and proof-of-concept trials. But several experts indicated that this phase is now giving way to something more substantial: embedding AI directly into core business processes so it can make automated decisions, rather than simply supporting analysis. Reacting to it, the CEO of DAAS Labs, Prasad Rai, stated that real value from AI comes from building it into the heart of business processed along with isolated experiments. He underscored that the move needs firms to first get the basics right, including a solid data foundation, proper workflow integration and strong governance, before layering AI on top. Without that groundwork, he cautioned, companies simply end up repeating the same old limitations, just faster. "Organisations are now evolving beyond the early stage of AI adoption, which largely involved pilot projects, proof of concepts, and isolated experimentation. The true power of AI lies in embedding intelligence into the very heart of business processes, enabling faster, automated decision-making rather than analysis alone. This requires a proper data foundation, workflow integration, governance practices, and deliberate integration of AI into existing enterprise systems, because execution without this groundwork simply reproduces the limitations of the old process at greater speed, " Prasad Rai said. "AI Execution for us at DAAS Labs means the convergence of data, analytics, automation, and intelligence. With these capabilities combined, companies move beyond reacting to market conditions and begin anticipating them; they identify emerging opportunities, optimise operations, and make decisions with greater speed and accuracy. Predictive analytics, automation of routine processes, and AI-driven recommendations are already transforming how businesses operate, and this shift will only accelerate," he added. He further added that AI's future lies ahead with intelligence embedded within business processes, despite only being layered on top of them. Rai emphasised that AI should act as a continuous layer of intelligence that supports people, automates routine decisions, streamlines workflows, and produces measurable business outcomes. "The organisations that succeed in this transition will not be those that adopt AI the fastest, but those that execute on it with discipline, embedding it deeply enough to innovate at scale and remain competitive over the long term," he also said. Also read: From financial awareness to financial entertainment: How India's money mindset is changing in the age of AI Real barrier is trust, not technology Similarly, Sukesh Shetty, Founder and CEO of Away.ai, gave a different lens on the same topic, noting that most enterprises already have some AI pilot running, so adoption itself is no longer the challenge; trust is. He explained that there is a meaningful difference between AI recommending a course of action and AI being allowed to act on that decision without supervision. "Enterprises are no longer struggling to adopt AI; most already have a pilot running somewhere. The struggle now is trust, not adoption. Handing AI a decision, and letting it act on that decision unsupervised, is a different task than running a pilot. That gap rarely comes down to weak technology. It comes down to governance nobody has built yet, the accountability and the plan for when it gets something wrong. Plenty of companies are comfortable letting AI recommend an answer. Very few have built the oversight and the fallback needed to let it commit to one. Travel makes this clearest, where a wrong automated call costs someone a flight or a booking, a very different kind of mistake than a bad recommendation. People trust what AI tells them far more than they trust what AI does on their behalf, and that gap has nothing to do with better models. It comes down to earning the right to act, one small, verifiable decision at a time, before ever being handed a bigger one. Execution is not a more advanced form of adoption. It is a completely different level of trust, and most enterprises have not built that muscle yet," Shetty said. Sri Mookiah, Founder & CEO, LOWCODEMINDS, said, "What we are seeing now is that enterprises have moved past asking whether they should adopt AI. Most are already experimenting with copilots, agents and different AI models. The harder question is whether any of this is actually changing how work gets done. That is where I believe Knowledge Work Automation becomes important. For years, we automated predictable, rules-based tasks, but a large part of enterprise work was still dependent on people reading documents, going through emails, pulling information from different systems, applying their experience and deciding what should happen next. AI is now allowing us to automate much more of that work." "But simply adding an AI agent on top of an existing process will not solve the problem. Enterprises need to look at the process itself, the data and context behind it, where decisions are being made and where human judgment is genuinely required. We are already seeing this play out in areas like Finance, Legal, Procurement and Operations. The real shift will happen when enterprises stop measuring AI adoption by the number of tools deployed and start measuring how much work is actually being executed better because of AI," Mookiah added. Similarly, Hitesh Agrawal, Founder & Managing Director, Them Consulting, also said, “Most enterprises still talk about AI as an adoption story, but the real story now is execution, and execution comes with a different risk profile entirely. Giving a system write access into core databases is not a minor technical upgrade. It means a mistake that used to sit in a draft email now shows up in a customer's account balance. The data backs this up clearly. Enterprise AI failure rates sit between 70 and 85 per cent. Only around 5 per cent of scaled deployments ever show a verifiable financial return. That gap has almost nothing to do with model intelligence and almost everything to do with data hygiene, unclear approval boundaries, and workforce readiness.” “Banking has become the clearest test case for how far this can go. Fraud detection and underwriting are already running through agentic workflows at scale, and India's push toward agent-executed UPI payments shows where the ceiling is heading next. But the institutions doing this well are not the ones granting the most autonomy. They are the ones drawing firm thresholds around what an agent can do without sign-off, then investing just as heavily in retraining staff to supervise those decisions. Execution without that discipline is not innovation. It is just risk moving faster than anyone can catch it,” he added.

Alongside technical use, AI is being utilised extensively in several academic and administrative workforces, including drafting emails, summarising reports, and generating insights at speed.

From AI adoption to AI execution: How enterprises are moving from experimentation to intelligent, automated decision-making

Artificial intelligence is no longer being used only to analyse human language. Scientists are now using it to study how animals communicate, raising an extraordinary possibility: could AI eventually help humans understand or even communicate with other species?&nbsp;According to Bloomberg, researchers are using machine learning to process enormous collections of animal sounds that would be almost impossible to study manually. The work spans species including crows, whales and wolves, with scientists looking for patterns hidden inside thousands of recordings.<h2>AI helps decode crow calls</h2>Biologist Vittorio Baglione has spent around three decades studying carrion crows in Spain.In 2018, he and his research partner Daniela Canestrari fitted small microphones to 43 birds. The experiment produced thousands of hours of recordings involving adult crows, chicks and other birds.&nbsp;The collection has since grown to about 150,000 recordings. Researchers turned to an AI model developed by the Earth Species Project to separate sounds and identify which birds produced them. One call particularly interested Baglione. He observed that when a buzzard attacked a crow's nest, the bird produced a soft sound before other crows arrived to defend it.&nbsp;He interpreted the call as roughly meaning: “Hey! Come help!” That does not prove crows have a human-like language. But AI could help scientists test whether repeated sounds consistently correspond to particular situations.<h2>Could AI let humans talk to animals?</h2>The potential is enormous. Researchers are combining huge amounts of audio and visual data to search for patterns across animal behaviour. Investor and animal-communication supporter Jeremy Coller has predicted that two-way communication could become possible by 2030.&nbsp;But animal communication is far more complex than speech. Animals can use sounds, smells, colours, movements and even sonar. That means simply translating animal sounds may not be enough. AI may need to understand the animal's surroundings and behaviour at the same time.<h2>The technology could also harm animals</h2>There is another side to the breakthrough.Experts warn that understanding animal communication could make it easier to manipulate animals at scale. César Rodríguez-Garavito, director of NYU’s More-Than-Human Life Program, has warned that AI could create “greater harm at scale”.&nbsp;Researchers are particularly concerned about playback experiments, in which recorded calls are played back to animals to study their reactions. Baglione has warned that such experiments can cause stress and disrupt social groups. The race to understand animals, therefore, comes with a difficult question: if AI can crack the code, who should be allowed to use it and how?

AI is helping scientists analyse huge collections of animal sounds, including crow calls, in a search for patterns humans cannot detect. Researchers hope this could eventually enable communication with animals, but experts warn the technology could also be misused.

Artificial intelligence is no longer being used only to analyse human language. Scientists are now using it to study how animals communicate, raising an extraordinary possibility: could AI eventually help humans understand or even communicate with other species? According to Bloomberg, researchers are using machine learning to process enormous collections of animal sounds that would be almost impossible to study manually. The work spans species including crows, whales and wolves, with scientists looking for patterns hidden inside thousands of recordings. AI helps decode crow calls Biologist Vittorio Baglione has spent around three decades studying carrion crows in Spain. In 2018, he and his research partner Daniela Canestrari fitted small microphones to 43 birds. The experiment produced thousands of hours of recordings involving adult crows, chicks and other birds. The collection has since grown to about 150,000 recordings. Researchers turned to an AI model developed by the Earth Species Project to separate sounds and identify which birds produced them. One call particularly interested Baglione. He observed that when a buzzard attacked a crow's nest, the bird produced a soft sound before other crows arrived to defend it. He interpreted the call as roughly meaning: “Hey! Come help!” That does not prove crows have a human-like language. But AI could help scientists test whether repeated sounds consistently correspond to particular situations. Could AI let humans talk to animals? The potential is enormous. Researchers are combining huge amounts of audio and visual data to search for patterns across animal behaviour. Investor and animal-communication supporter Jeremy Coller has predicted that two-way communication could become possible by 2030. But animal communication is far more complex than speech. Animals can use sounds, smells, colours, movements and even sonar. That means simply translating animal sounds may not be enough. AI may need to understand the animal's surroundings and behaviour at the same time. The technology could also harm animals There is another side to the breakthrough. Experts warn that understanding animal communication could make it easier to manipulate animals at scale. César Rodríguez-Garavito, director of NYU’s More-Than-Human Life Program, has warned that AI could create “greater harm at scale”. Researchers are particularly concerned about playback experiments, in which recorded calls are played back to animals to study their reactions. Baglione has warned that such experiments can cause stress and disrupt social groups. The race to understand animals, therefore, comes with a difficult question: if AI can crack the code, who should be allowed to use it and how?

AI is helping scientists analyse huge collections of animal sounds, including crow calls, in a search for patterns humans cannot detect. Researchers hope this could eventually enable communication with animals, but experts warn the technology could also be misused.

AI is decoding animal sounds: Is it possible we could soon talk to animals?

GTA 6 is already one of the most anticipated games of the decade, but fans are now debating a question Rockstar Games has not answered: what if Jason Duval is not who he appears to be?&nbsp;One theory spreading online suggests that Jason could secretly be an undercover cop, sent into Vice City’s criminal world to infiltrate drug networks and bring them down from inside. There is currently no official confirmation that this is part of GTA 6’s story. It remains a fan theory. But Jason’s background has given players plenty of material to speculate about.<h2>Why fans suspect Jason is undercover</h2>Rockstar has confirmed that the game follows Jason Duval and Lucia Caminos, two criminals whose lives become increasingly connected.&nbsp;Lucia learned to fight from her father and is fiercely protective of her family. Jason, meanwhile, grew up around criminals and spent his teenage years trying to escape that life. He later joined the Army. After leaving the military, he reportedly began working for drug runners in the Leonida Keys.&nbsp;That final detail has caught the attention of fans. The theory argues that Jason’s military experience could make his sudden move into the drug trade more complicated than it appears. Instead of simply looking for work, he could be using the criminal world as cover for a larger mission. If true, Jason would have to gain the trust of criminals while secretly working against them.<h2>Could Jason betray Lucia?</h2>The theory becomes much darker when Lucia enters the picture. Some fans speculate that Jason could eventually hide his true identity from Lucia, or even betray her when his supposed mission reaches its final stage. That could create a major emotional twist. The pair may appear to be partners fighting their way through Vice City, while one of them could secretly be playing an entirely different game. It would also fit the darker themes that Rockstar has explored in previous Grand Theft Auto stories.&nbsp;<h2>But there is one big problem</h2>There is no evidence confirming the theory.&nbsp;Jason’s military background and criminal connections are official parts of his character, but interpreting them as proof of an undercover operation is speculation. Rockstar has not revealed the full GTA 6 storyline, so fans will have to wait for the game to find out whether Jason is genuinely a criminal, an undercover operative, or something else entirely. For now, the undercover-cop idea should be treated as exactly what it is: a wild GTA 6 theory not a confirmed plot twist.

GTA 6 fans are speculating that Jason Duval could secretly be an undercover cop infiltrating Vice City’s criminal underworld. His military background has fuelled the theory, but Rockstar Games has not confirmed any hidden identity or betrayal storyline.

GTA 6 is already one of the most anticipated games of the decade, but fans are now debating a question Rockstar Games has not answered: what if Jason Duval is not who he appears to be? One theory spreading online suggests that Jason could secretly be an undercover cop, sent into Vice City’s criminal world to infiltrate drug networks and bring them down from inside. There is currently no official confirmation that this is part of GTA 6’s story. It remains a fan theory. But Jason’s background has given players plenty of material to speculate about. Why fans suspect Jason is undercover Rockstar has confirmed that the game follows Jason Duval and Lucia Caminos, two criminals whose lives become increasingly connected. Lucia learned to fight from her father and is fiercely protective of her family. Jason, meanwhile, grew up around criminals and spent his teenage years trying to escape that life. He later joined the Army. After leaving the military, he reportedly began working for drug runners in the Leonida Keys. That final detail has caught the attention of fans. The theory argues that Jason’s military experience could make his sudden move into the drug trade more complicated than it appears. Instead of simply looking for work, he could be using the criminal world as cover for a larger mission. If true, Jason would have to gain the trust of criminals while secretly working against them. Could Jason betray Lucia? The theory becomes much darker when Lucia enters the picture. Some fans speculate that Jason could eventually hide his true identity from Lucia, or even betray her when his supposed mission reaches its final stage. That could create a major emotional twist. The pair may appear to be partners fighting their way through Vice City, while one of them could secretly be playing an entirely different game. It would also fit the darker themes that Rockstar has explored in previous Grand Theft Auto stories. But there is one big problem There is no evidence confirming the theory. Jason’s military background and criminal connections are official parts of his character, but interpreting them as proof of an undercover operation is speculation. Rockstar has not revealed the full GTA 6 storyline, so fans will have to wait for the game to find out whether Jason is genuinely a criminal, an undercover operative, or something else entirely. For now, the undercover-cop idea should be treated as exactly what it is: a wild GTA 6 theory not a confirmed plot twist.

GTA 6 fans are speculating that Jason Duval could secretly be an undercover cop infiltrating Vice City’s criminal underworld. His military background has fuelled the theory, but Rockstar Games has not confirmed any hidden identity or betrayal storyline.

GTA 6: Is Jason secretly an undercover cop infiltrating Vice City? The wild theory explained

WhatsApp could soon let users connect third-party AI agents directly to the messaging app, potentially turning the platform into a place where people can interact with multiple AI services without leaving their chats.&nbsp;The feature is reportedly being tested with a limited number of Android users. WhatsApp has not officially announced a wider rollout, so the feature could still change before reaching everyone. According to WhatsApp feature tracker WABetaInfo, the functionality was spotted in WhatsApp beta for Android version 2.26.35.3.<h2>WhatsApp could support up to 5 AI agents</h2>The reported feature introduces a new Agents section inside WhatsApp settings. Users could potentially add compatible third-party AI services and give each one a name and profile picture. The current testing reportedly allows up to five agents per account. Once an agent is configured, WhatsApp could generate an API key. Users would then enter that key into the service hosting the AI agent to connect it with WhatsApp. The exact setup could differ depending on the service. Users may also be able to generate a new key if they want to reset or reconnect an agent.<h2>Each AI agent could get its own WhatsApp chat</h2>After an agent is connected, it would reportedly appear in a separate WhatsApp conversation. That could make interacting with different AI services feel similar to messaging different contacts. Importantly, the reported feature has several restrictions. Third-party agents would not have access to a user's other chats, contacts or media. They also reportedly could not be added to group chats or WhatsApp Communities.<h2>What happens if you remove an AI agent?</h2>WhatsApp could also give users control over their connected agents through settings. Users may be able to change an agent's name or profile picture, while removing an agent would disconnect the service from WhatsApp. Interestingly, the existing conversation history would reportedly remain. Users could potentially reconnect the service later by setting it up again and generating a new API key. For now, this remains a reported beta feature, not a confirmed public WhatsApp release. If Meta expands it, however, WhatsApp could become a much easier gateway for people to access different AI assistants from the same familiar chat interface.

WhatsApp is reportedly testing third-party AI agents that users could connect directly to the app. Each agent may get a separate chat, with up to five agents reportedly supported per account. The feature is currently limited to some Android beta users.

WhatsApp could soon let users connect third-party AI agents directly to the messaging app, potentially turning the platform into a place where people can interact with multiple AI services without leaving their chats. The feature is reportedly being tested with a limited number of Android users. WhatsApp has not officially announced a wider rollout, so the feature could still change before reaching everyone. According to WhatsApp feature tracker WABetaInfo, the functionality was spotted in WhatsApp beta for Android version 2.26.35.3. WhatsApp could support up to 5 AI agents The reported feature introduces a new Agents section inside WhatsApp settings. Users could potentially add compatible third-party AI services and give each one a name and profile picture. The current testing reportedly allows up to five agents per account. Once an agent is configured, WhatsApp could generate an API key. Users would then enter that key into the service hosting the AI agent to connect it with WhatsApp. The exact setup could differ depending on the service. Users may also be able to generate a new key if they want to reset or reconnect an agent. Each AI agent could get its own WhatsApp chat After an agent is connected, it would reportedly appear in a separate WhatsApp conversation. That could make interacting with different AI services feel similar to messaging different contacts. Importantly, the reported feature has several restrictions. Third-party agents would not have access to a user's other chats, contacts or media. They also reportedly could not be added to group chats or WhatsApp Communities. What happens if you remove an AI agent? WhatsApp could also give users control over their connected agents through settings. Users may be able to change an agent's name or profile picture, while removing an agent would disconnect the service from WhatsApp. Interestingly, the existing conversation history would reportedly remain. Users could potentially reconnect the service later by setting it up again and generating a new API key. For now, this remains a reported beta feature, not a confirmed public WhatsApp release. If Meta expands it, however, WhatsApp could become a much easier gateway for people to access different AI assistants from the same familiar chat interface.

WhatsApp is reportedly testing third-party AI agents that users could connect directly to the app. Each agent may get a separate chat, with up to five agents reportedly supported per account. The feature is currently limited to some Android beta users.

WhatsApp may soon let you add third-party AI agents to your chats: Here’s how it could work

Microsoft is putting a monthly limit on Xbox Cloud Gaming, ending the unlimited cloud streaming access currently offered with Xbox Game Pass plans.&nbsp;From November, Game Pass subscribers will receive a set number of cloud gaming hours every month. Once those hours are used, players will have to buy additional time if they want to keep streaming games. Microsoft says the change is expected to affect about 4% of Game Pass subscribers.The move comes as the cost of running cloud gaming infrastructure continues to rise. Microsoft says the new system will help it balance usage with the cost of providing the service while continuing to invest in performance and reliability.<h2>How many cloud gaming hours will Xbox users get?</h2>The new limits depend on the Game Pass plan. Game Pass Ultimate subscribers will get 15 hours of cloud gaming each month. Game Pass Premium will include 10 hours, while Game Pass Essential will offer five hours. Microsoft has not yet revealed how much extra cloud gaming time will cost. The company says it will provide pricing and more information before the changes take effect. The limits apply specifically to cloud gaming. Players who download games to supported hardware are not affected by these monthly streaming-hour caps.<h2>Why is Microsoft doing this?</h2>Microsoft says cloud gaming becomes more expensive as more people use the service and spend longer playing. “Moving to monthly limits” will allow Xbox to continue offering cloud gaming while investing in reliability and performance, the company said. It also acknowledged that the change could mean a higher cost for some players.The decision follows a broader shift in how Microsoft approaches Game Pass.The company has already changed Game Pass pricing and benefits, while Xbox continues expanding cloud gaming across phones, PCs, consoles, TVs and other supported devices. Xbox previously said cloud gaming hours had increased 45% year on year, showing just how quickly demand for streaming games has grown.<h2>You can soon stream games you already own</h2>There is another major change coming in November. People who do not subscribe to Game Pass will be able to purchase cloud gaming hours through the Xbox Store and use them to stream eligible games they already own. That could make cloud gaming more attractive to occasional players who do not want a monthly subscription. For regular Game Pass cloud players, however, the message is clear: unlimited streaming is coming to an end, and time will soon become part of the Xbox gaming equation.

Microsoft is ending unlimited Xbox Cloud Gaming for Game Pass subscribers from November. Ultimate users will get 15 hours a month, Premium 10 hours and Essential five hours, with additional cloud gaming time available to buy.

Microsoft is putting a monthly limit on Xbox Cloud Gaming, ending the unlimited cloud streaming access currently offered with Xbox Game Pass plans. From November, Game Pass subscribers will receive a set number of cloud gaming hours every month. Once those hours are used, players will have to buy additional time if they want to keep streaming games. Microsoft says the change is expected to affect about 4% of Game Pass subscribers. The move comes as the cost of running cloud gaming infrastructure continues to rise. Microsoft says the new system will help it balance usage with the cost of providing the service while continuing to invest in performance and reliability. How many cloud gaming hours will Xbox users get? The new limits depend on the Game Pass plan. Game Pass Ultimate subscribers will get 15 hours of cloud gaming each month. Game Pass Premium will include 10 hours, while Game Pass Essential will offer five hours. Microsoft has not yet revealed how much extra cloud gaming time will cost. The company says it will provide pricing and more information before the changes take effect. The limits apply specifically to cloud gaming. Players who download games to supported hardware are not affected by these monthly streaming-hour caps. Why is Microsoft doing this? Microsoft says cloud gaming becomes more expensive as more people use the service and spend longer playing. “Moving to monthly limits” will allow Xbox to continue offering cloud gaming while investing in reliability and performance, the company said. It also acknowledged that the change could mean a higher cost for some players. The decision follows a broader shift in how Microsoft approaches Game Pass. The company has already changed Game Pass pricing and benefits, while Xbox continues expanding cloud gaming across phones, PCs, consoles, TVs and other supported devices. Xbox previously said cloud gaming hours had increased 45% year on year, showing just how quickly demand for streaming games has grown. You can soon stream games you already own There is another major change coming in November. People who do not subscribe to Game Pass will be able to purchase cloud gaming hours through the Xbox Store and use them to stream eligible games they already own. That could make cloud gaming more attractive to occasional players who do not want a monthly subscription. For regular Game Pass cloud players, however, the message is clear: unlimited streaming is coming to an end, and time will soon become part of the Xbox gaming equation.

Microsoft is ending unlimited Xbox Cloud Gaming for Game Pass subscribers from November. Ultimate users will get 15 hours a month, Premium 10 hours and Essential five hours, with additional cloud gaming time available to buy.

Microsoft puts time limits on Xbox Cloud Gaming after years of unlimited access

Apple may have just abandoned one of its most ambitious foldable projects. A new research note from display research firm Omdia reportedly says the company has cancelled plans for a 16.1-inch to 18-inch foldable MacBook.&nbsp;&nbsp;The report, first highlighted by 9to5Mac, appears to refer to the large foldable iPad-MacBook hybrid Apple has been rumoured to be developing for years. The timing is striking. The report comes just days before Apple’s September 9 event, where the company is expected to unveil new products. Apple itself has confirmed the event, but has not confirmed a foldable iPhone or the reported cancellation.&nbsp;<h2>Apple’s giant foldable was unlike an iPhone</h2>The reported device was far larger than Apple’s expected first foldable smartphone. Earlier reports described a device with a display of roughly 18 to 20 inches when opened. It was expected to blur the line between an iPad and a MacBook, offering a huge flexible screen that could fold into a smaller form for carrying. Omdia’s latest research now says the 16.1-inch to 18-inch foldable MacBook plan has been cancelled. MacRumors also reported the same finding from Omdia.&nbsp;<h2>It was once a John Ternus priority</h2>The project had an interesting connection to John Ternus, who became Apple CEO earlier this week. Bloomberg’s Mark Gurman previously reported that Apple was working on a roughly 20-inch foldable iPad and described it as a Ternus priority when he was still the company’s hardware chief. But Gurman also warned that Apple could ultimately abandon it because of its experimental nature.&nbsp;<h2>What happens to Apple’s foldable plans now?</h2>If Omdia’s assessment is accurate, Apple’s foldable strategy could initially be much narrower than earlier rumours suggested. The company may focus first on a foldable iPhone before attempting a much larger MacBook or iPad device. For consumers, that means the futuristic giant foldable iPad-MacBook could remain a prototype rather than becoming an Apple product. For now, however, the cancellation is still a report, not an Apple announcement. The company has yet to publicly confirm whether the project has been permanently shelved.

Apple reportedly cancelled its 16.1-inch to 18-inch foldable MacBook project, believed to be the same giant iPad-MacBook hybrid once linked to CEO John Ternus. The move could narrow Apple’s foldable strategy to the iPhone.

Apple may have just abandoned one of its most ambitious foldable projects. A new research note from display research firm Omdia reportedly says the company has cancelled plans for a 16.1-inch to 18-inch foldable MacBook. The report, first highlighted by 9to5Mac, appears to refer to the large foldable iPad-MacBook hybrid Apple has been rumoured to be developing for years. The timing is striking. The report comes just days before Apple’s September 9 event, where the company is expected to unveil new products. Apple itself has confirmed the event, but has not confirmed a foldable iPhone or the reported cancellation. Apple’s giant foldable was unlike an iPhone The reported device was far larger than Apple’s expected first foldable smartphone. Earlier reports described a device with a display of roughly 18 to 20 inches when opened. It was expected to blur the line between an iPad and a MacBook, offering a huge flexible screen that could fold into a smaller form for carrying. Omdia’s latest research now says the 16.1-inch to 18-inch foldable MacBook plan has been cancelled. MacRumors also reported the same finding from Omdia. It was once a John Ternus priority The project had an interesting connection to John Ternus, who became Apple CEO earlier this week. Bloomberg’s Mark Gurman previously reported that Apple was working on a roughly 20-inch foldable iPad and described it as a Ternus priority when he was still the company’s hardware chief. But Gurman also warned that Apple could ultimately abandon it because of its experimental nature. What happens to Apple’s foldable plans now? If Omdia’s assessment is accurate, Apple’s foldable strategy could initially be much narrower than earlier rumours suggested. The company may focus first on a foldable iPhone before attempting a much larger MacBook or iPad device. For consumers, that means the futuristic giant foldable iPad-MacBook could remain a prototype rather than becoming an Apple product. For now, however, the cancellation is still a report, not an Apple announcement. The company has yet to publicly confirm whether the project has been permanently shelved.

Apple reportedly cancelled its 16.1-inch to 18-inch foldable MacBook project, believed to be the same giant iPad-MacBook hybrid once linked to CEO John Ternus. The move could narrow Apple’s foldable strategy to the iPhone.

Apple reportedly scraps 18-inch foldable MacBook project once seen as a Ternus priority

Following the successful launch of India's GSLV F-17/EOS-05 space mission on Friday(4th September), employees of the Indian space agency ISRO have sought a clarification from the Indian Government over the ongoing privatisation of certain ISRO activities.This author has accessed the five-page letter which employee associations of crucial ISRO centres have jointly written to the ISRO Chairman Dr. V. Narayanan, who also serves as the Secretary of the Indian Government's Department of Space, which operates under the direct supervision of Prime Minister Narendra Modi. Since the year 2020, the Modi Government has been spearheading the "opening up of space sector to private players", a process that sections within the Government-run ISRO have been "anxious and fearful" about. The latest letter reflects the growing concerns and unease.The letter has been signed by nine representatives of various ISRO employee associations linked to major ISRO centers such as VSSC, SDSC, URSC, LPSC, SAC, NRSC, and IPRC. On the strict condition of anonymity, multiple representatives of ISRO employees' associations confirmed the authenticity of their letter with this author. They added that their associations represented the concerns of around 5,000 employees, which is around one-fourth(27%) of ISRO's 18,100 employee headcount.When this author contacted him for a response regarding the privatisation of ISRO activities and related concerns that employees had raised in the letter, Dr. V. Narayanan, ISRO Chairman and Secretary, Department of Space, did not offer a comment.<h2>The trigger for the concerns – a statement by Dr. Pawan Goenka</h2>"Eventually, ISRO will not make any launch vehicles and will not manufacture any launch vehicles. That will all be done by the private Sector or Public Sector Undertakings (PSUs)," Dr. Pawan Goenka had said during a televised event in August 2026. The employee associations' letter quotes this statement and says that it had caused widespread concern among serving employees, their families, and thousands of young citizens who aspire to a career in the national space programme.Dr. Pawan Goenka has been appointed by the Modi Government to head the government agency IN-SPACE, which is meant to promote and facilitate end-to-end private participation in the ISRO-dominated Indian space sector.Dr. Goenka is an automobile industry veteran who has been heading IN-SPACE since 2021. An IITian with a subsequent Ph.D. from Cornell and a management degree at Harvard, Goenka worked at the General Motors R&amp;D Centre, Detroit, for 14 years and at India's Mahindra &amp; Mahindra(M&amp;M) Ltd. for 28 years. He retired from M&amp;M as MD &amp; CEO in the year 2021, following which he was appointed to lead the Indian Government's IN-SPACE.<h2>‘ISRO's rocket tech being transferred to private and Govt firms, without official communication to employees’</h2>The ISRO employees' association letter mentions the SSLV rocket technology and production technology being sold to Government firm Hindustan Aeronautics Limited(HAL), and the ongoing bidding process for technology transfer of India's largest rocket, LVM3, and similar efforts for transferring the technology of the workhorse PSLV rocket.The letter also cites reports about routine satellite manufacturing possibly being moved out of ISRO, and that operation of new launch infrastructure, including the Government's Space Launch Complex at Kulasekarapattinam in Tamil Nadu being opened to private entities.In light of these developments, the employees' associations highlight that such decisions or proposals by the Government have not been accompanied by any corresponding official communication from the Department of Space to its employees.&nbsp; It adds that there has been no communication from the Department of Space explaining the approved policy, its legal and administrative basis, its phasing, or its consequences for the existing workforce.<h2>‘Why are ISRO employees anxious?’</h2>The letter cites that ISRO was built as a national scientific institution with public funds, public purpose and a public workforce. "Launch-vehicle design, realisation, integration, testing and launch operations are not merely 'manufacturing contracts'. They are the core competence, institutional memory and strategic capability of the Organisation," ISRO staff association explained.The letter expresses concern that ISRO's progressive withdrawal from launch-vehicle and satellite realisation will tamper with experiments after research, shrink in-house work, freeze or reduce sanctioned strength, and close promotion and skill- development avenues in technical, scientific, administrative, stores, purchase, quality, safety and industrial cadres.Further, it says that existing employees who are working under ISRO's own facilities may be rendered surplus, or redeployed, or left without meaningful work while the same tasks are performed by private contractors using publicly developed technology.It also said that strategic autonomy, quality assurance, safety culture and accountability that are inherent to a national space agency may be diluted if core realisation and launch operations pass out of public control."Regular recruitment to Group A, B and C posts - already constrained by vacancies and attrition - will further decline, denying opportunity to meritorious youth who look to ISRO as a career," reads the letter. This comes at a time when Indian Government data reveals that ISRO faces a human resource shortage: Indian Parliament data from February 2026 showed that ISRO has a sanctioned strength of 14,108 staff in the Science and Technology domain, of which only 12,472 are in position, which indicates an 11 per cent resource crunch. The Government had said it is undertaking efforts to fill 1,261 of the 1,636 vacancies.In the Admin domain, ISRO has a sanctioned strength of 4,034 staff. However, only 3,057 are in position, which indicates a 24 per cent resource crunch. The Government had said it is undertaking efforts to fill 188 of the 977 vacant posts.<h2>‘Draw a line between private participation and dismantling ISRO's own realisation capability’</h2>The ISRO staff associations emphasised that they are not hostile towards Indian industry, and they are not opposed to legitimate commercialisation through NSIL (ISRO's commercial arm) within a defined framework. "The concern is the absence of an official Department of Space policy document that draws a clear line between (i) enabling private participation and (ii) dismantling ISRO's own realisation capability," they added.Further, they agreed that private participation in defined commercial activities can coexist with a strong, publicly-owned ISRO. However, they stressed that "a policy that reduces ISRO to a residual R&amp;D boutique while the realisation of the nation's launch vehicles and the operation of its launch infrastructure pass out of public hands, cannot be accepted without debate".Technology developed by ISRO is a national asset. Its transfer must be transparent, accountable, and consistent with strategic, safety and employment considerations. On such transfer of Government-developed technology to private firms, ISRO staff associations highlighted that they have an earned right to be informed, consulted and protected. "Natural justice and good administration require that policy of this magnitude be explained to the workforce by the Department itself."<h2>Clarifications sought from ISRO Chief, Secretary, Dept of Space (Govt of India)</h2>The ISRO staff associations requested Dr. V. Narayanan, the ISRO Chief and Secretary, DoS, to issue an official, written clarification addressing their concerns in a time-bound manner.Further, it wanted the Department of Space to conduct a structured interaction with the recognised Service Associations on the future role of ISRO, staffing, recruitment, among others.The ISRO staff associations emphasised that they were submitting this representation to the Government in a constructive and democratic spirit. "Our loyalty to ISRO and to the national space programme is not in question. Precisely because of that loyalty, we consider it our duty to seek clarity before uncertainty hardens into irreversible policy," concluded the letter, which sought a written response from the government.

Technology developed by ISRO is a national asset. Its transfer must be transparent, accountable, and consistent with strategic, safety and employment considerations. 

Following the successful launch of India's GSLV F-17/EOS-05 space mission on Friday(4th September), employees of the Indian space agency ISRO have sought a clarification from the Indian Government over the ongoing privatisation of certain ISRO activities. This author has accessed the five-page letter which employee associations of crucial ISRO centres have jointly written to the ISRO Chairman Dr. V. Narayanan, who also serves as the Secretary of the Indian Government's Department of Space, which operates under the direct supervision of Prime Minister Narendra Modi. Since the year 2020, the Modi Government has been spearheading the "opening up of space sector to private players", a process that sections within the Government-run ISRO have been "anxious and fearful" about. The latest letter reflects the growing concerns and unease. The letter has been signed by nine representatives of various ISRO employee associations linked to major ISRO centers such as VSSC, SDSC, URSC, LPSC, SAC, NRSC, and IPRC. On the strict condition of anonymity, multiple representatives of ISRO employees' associations confirmed the authenticity of their letter with this author. They added that their associations represented the concerns of around 5,000 employees, which is around one-fourth(27%) of ISRO's 18,100 employee headcount. When this author contacted him for a response regarding the privatisation of ISRO activities and related concerns that employees had raised in the letter, Dr. V. Narayanan, ISRO Chairman and Secretary, Department of Space, did not offer a comment. The trigger for the concerns – a statement by Dr. Pawan Goenka "Eventually, ISRO will not make any launch vehicles and will not manufacture any launch vehicles. That will all be done by the private Sector or Public Sector Undertakings (PSUs)," Dr. Pawan Goenka had said during a televised event in August 2026. The employee associations' letter quotes this statement and says that it had caused widespread concern among serving employees, their families, and thousands of young citizens who aspire to a career in the national space programme. Dr. Pawan Goenka has been appointed by the Modi Government to head the government agency IN-SPACE, which is meant to promote and facilitate end-to-end private participation in the ISRO-dominated Indian space sector. Dr. Goenka is an automobile industry veteran who has been heading IN-SPACE since 2021. An IITian with a subsequent Ph.D. from Cornell and a management degree at Harvard, Goenka worked at the General Motors R&D Centre, Detroit, for 14 years and at India's Mahindra & Mahindra(M&M) Ltd. for 28 years. He retired from M&M as MD & CEO in the year 2021, following which he was appointed to lead the Indian Government's IN-SPACE. ‘ISRO's rocket tech being transferred to private and Govt firms, without official communication to employees’ The ISRO employees' association letter mentions the SSLV rocket technology and production technology being sold to Government firm Hindustan Aeronautics Limited(HAL), and the ongoing bidding process for technology transfer of India's largest rocket, LVM3, and similar efforts for transferring the technology of the workhorse PSLV rocket. The letter also cites reports about routine satellite manufacturing possibly being moved out of ISRO, and that operation of new launch infrastructure, including the Government's Space Launch Complex at Kulasekarapattinam in Tamil Nadu being opened to private entities. In light of these developments, the employees' associations highlight that such decisions or proposals by the Government have not been accompanied by any corresponding official communication from the Department of Space to its employees. It adds that there has been no communication from the Department of Space explaining the approved policy, its legal and administrative basis, its phasing, or its consequences for the existing workforce. ‘Why are ISRO employees anxious?’ The letter cites that ISRO was built as a national scientific institution with public funds, public purpose and a public workforce. "Launch-vehicle design, realisation, integration, testing and launch operations are not merely 'manufacturing contracts'. They are the core competence, institutional memory and strategic capability of the Organisation," ISRO staff association explained. The letter expresses concern that ISRO's progressive withdrawal from launch-vehicle and satellite realisation will tamper with experiments after research, shrink in-house work, freeze or reduce sanctioned strength, and close promotion and skill- development avenues in technical, scientific, administrative, stores, purchase, quality, safety and industrial cadres. Further, it says that existing employees who are working under ISRO's own facilities may be rendered surplus, or redeployed, or left without meaningful work while the same tasks are performed by private contractors using publicly developed technology. It also said that strategic autonomy, quality assurance, safety culture and accountability that are inherent to a national space agency may be diluted if core realisation and launch operations pass out of public control. "Regular recruitment to Group A, B and C posts - already constrained by vacancies and attrition - will further decline, denying opportunity to meritorious youth who look to ISRO as a career," reads the letter. This comes at a time when Indian Government data reveals that ISRO faces a human resource shortage: Indian Parliament data from February 2026 showed that ISRO has a sanctioned strength of 14,108 staff in the Science and Technology domain, of which only 12,472 are in position, which indicates an 11 per cent resource crunch. The Government had said it is undertaking efforts to fill 1,261 of the 1,636 vacancies. In the Admin domain, ISRO has a sanctioned strength of 4,034 staff. However, only 3,057 are in position, which indicates a 24 per cent resource crunch. The Government had said it is undertaking efforts to fill 188 of the 977 vacant posts. ‘Draw a line between private participation and dismantling ISRO's own realisation capability’ The ISRO staff associations emphasised that they are not hostile towards Indian industry, and they are not opposed to legitimate commercialisation through NSIL (ISRO's commercial arm) within a defined framework. "The concern is the absence of an official Department of Space policy document that draws a clear line between (i) enabling private participation and (ii) dismantling ISRO's own realisation capability," they added. Further, they agreed that private participation in defined commercial activities can coexist with a strong, publicly-owned ISRO. However, they stressed that "a policy that reduces ISRO to a residual R&D boutique while the realisation of the nation's launch vehicles and the operation of its launch infrastructure pass out of public hands, cannot be accepted without debate". Technology developed by ISRO is a national asset. Its transfer must be transparent, accountable, and consistent with strategic, safety and employment considerations. On such transfer of Government-developed technology to private firms, ISRO staff associations highlighted that they have an earned right to be informed, consulted and protected. "Natural justice and good administration require that policy of this magnitude be explained to the workforce by the Department itself." Clarifications sought from ISRO Chief, Secretary, Dept of Space (Govt of India) The ISRO staff associations requested Dr. V. Narayanan, the ISRO Chief and Secretary, DoS, to issue an official, written clarification addressing their concerns in a time-bound manner. Further, it wanted the Department of Space to conduct a structured interaction with the recognised Service Associations on the future role of ISRO, staffing, recruitment, among others. The ISRO staff associations emphasised that they were submitting this representation to the Government in a constructive and democratic spirit. "Our loyalty to ISRO and to the national space programme is not in question. Precisely because of that loyalty, we consider it our duty to seek clarity before uncertainty hardens into irreversible policy," concluded the letter, which sought a written response from the government.

Technology developed by ISRO is a national asset. Its transfer must be transparent, accountable, and consistent with strategic, safety and employment considerations.&nbsp;

Are ISRO activities being privatised? Anxious staff seek Govt response

Meta AI chief Alexandr Wang has revealed an unusual reason for why he wants to wait before having children: brain-computer interfaces such as Elon Musk’s Neuralink.&nbsp;Wang made the comments during an appearance on The Shawn Ryan Show last year, while discussing artificial intelligence, human development and the future of brain-computer interfaces (BCIs). He said he wants to wait until technologies such as Neuralink “start working” before having kids. His argument is based on the idea that a child’s brain may be much more adaptable to a BCI than an adult brain.<h2>Why Wang wants to wait for Neuralink</h2>Wang pointed to the first seven years of life as a particularly important period for brain development.&nbsp;“In your first like seven years of life, your brain is more neuroplastic than at any other point in your life,” he said. He used vision as an example. Wang discussed children born with cataracts and argued that if normal visual input is blocked during early development, removing the cataracts years later may not allow the brain to develop normal visual processing. He then applied that idea to brain-computer interfaces. Wang believes children who grow up with such technology could learn to use it in ways that adults receiving an implant later in life may not.&nbsp;<h2>Could a brain chip become part of the brain?</h2>Wang suggested that early exposure could make a BCI feel more naturally integrated with a person's abilities.“When we get Neuralink and we get these other technologies, kids who are born with them are going to learn how to use them in like, crazy, crazy ways,” he said. He argued that the technology could become “a part of their brain” in a way that might never happen for an adult who receives an implant later. That is Wang’s prediction, not an established medical finding. Current BCIs remain an emerging technology, and there is no established evidence that children should receive such implants for cognitive enhancement.&nbsp;<h2>Wang links the idea to the future of AI</h2>Wang also connected his thinking to the rapid development of artificial intelligence.He said he believes AI will become increasingly capable and could eventually take different physical forms, including robots and other systems. His broader argument is that AI may develop much faster than biological evolution. In that future, he believes humans could eventually need ways to connect more directly with computing systems. For Wang, that possibility is enough to make Neuralink more than a futuristic gadget. He sees it as a technology that could potentially shape how future generations interact with AI. For now, however, that future remains speculative. Neuralink and other BCI companies are still developing and testing the technology, meaning the idea of children growing up with brain implants remains firmly in the realm of future possibilities.

Meta AI chief Alexandr Wang says he wants to wait before having children until Neuralink or similar brain-computer interfaces become more advanced. He believes children’s developing brains could adapt to BCIs in ways adults may not.

Meta AI chief Alexandr Wang has revealed an unusual reason for why he wants to wait before having children: brain-computer interfaces such as Elon Musk’s Neuralink. Wang made the comments during an appearance on The Shawn Ryan Show last year, while discussing artificial intelligence, human development and the future of brain-computer interfaces (BCIs). He said he wants to wait until technologies such as Neuralink “start working” before having kids. His argument is based on the idea that a child’s brain may be much more adaptable to a BCI than an adult brain. Why Wang wants to wait for Neuralink Wang pointed to the first seven years of life as a particularly important period for brain development. “In your first like seven years of life, your brain is more neuroplastic than at any other point in your life,” he said. He used vision as an example. Wang discussed children born with cataracts and argued that if normal visual input is blocked during early development, removing the cataracts years later may not allow the brain to develop normal visual processing. He then applied that idea to brain-computer interfaces. Wang believes children who grow up with such technology could learn to use it in ways that adults receiving an implant later in life may not. Could a brain chip become part of the brain? Wang suggested that early exposure could make a BCI feel more naturally integrated with a person's abilities. “When we get Neuralink and we get these other technologies, kids who are born with them are going to learn how to use them in like, crazy, crazy ways,” he said. He argued that the technology could become “a part of their brain” in a way that might never happen for an adult who receives an implant later. That is Wang’s prediction, not an established medical finding. Current BCIs remain an emerging technology, and there is no established evidence that children should receive such implants for cognitive enhancement. Wang links the idea to the future of AI Wang also connected his thinking to the rapid development of artificial intelligence. He said he believes AI will become increasingly capable and could eventually take different physical forms, including robots and other systems. His broader argument is that AI may develop much faster than biological evolution. In that future, he believes humans could eventually need ways to connect more directly with computing systems. For Wang, that possibility is enough to make Neuralink more than a futuristic gadget. He sees it as a technology that could potentially shape how future generations interact with AI. For now, however, that future remains speculative. Neuralink and other BCI companies are still developing and testing the technology, meaning the idea of children growing up with brain implants remains firmly in the realm of future possibilities.

Meta AI chief Alexandr Wang says he wants to wait before having children until Neuralink or similar brain-computer interfaces become more advanced. He believes children’s developing brains could adapt to BCIs in ways adults may not.

Why Meta AI chief Alexandr Wang thinks the next generation could grow up with brain-computer interfaces

Nvidia is becoming much more than the company behind the world’s most powerful AI chips.&nbsp;The chip giant’s equity investments have surged to $99 billion, up from about $7 billion a year earlier and roughly $2.2 billion two years ago, according to its latest regulatory filing. Nvidia also disclosed another $25 billion in equity investment commitments as of July 26. The rapid expansion shows how Nvidia is using its enormous financial strength to shape the AI industry around its hardware. Instead of simply selling GPUs, Nvidia is increasingly putting money into the companies that need those GPUs.<h2>Where is Nvidia putting its billions?</h2>A large part of the strategy is focused on frontier AI labs.&nbsp;Nvidia CFO Colette Kress said the company had invested nearly $50 billion in frontier AI labs. Nvidia announced a $30 billion investment in OpenAI in February as part of OpenAI’s $110 billion funding round. Nvidia is also backing the rapidly growing group of so-called neoclouds companies that buy large numbers of GPUs and rent computing power to AI customers. It invested $2 billion in CoreWeave in January and another $2 billion in Nebius in March. Nvidia said the Nebius investment would help accelerate its build-out of a full-stack AI cloud platform. The strategy has now expanded beyond cloud and AI models.<h2>Nvidia is betting on the technology behind AI</h2>Nvidia has also been investing heavily in optical and photonics technology, which uses light to move data rather than traditional electrical connections. Companies including Lumentum, Coherent and Marvell have each received major investments, according to CNBC’s analysis. The technology could become increasingly important as AI systems require faster movement of enormous amounts of data. Nvidia has also benefited from the rising value of some of its investments. Its $5 billion Intel investment has reportedly risen to around $30 billion, while its SpaceX holding was valued at about $21 billion as of June, according to CNBC.<h2>Why Nvidia is doing this</h2>The strategy is simple: help the AI ecosystem grow, and Nvidia can grow with it. Nvidia itself says its investments are intended to enhance growth opportunities, cultivate its ecosystem and strengthen its competitive position.&nbsp;That creates a powerful cycle. AI companies need computing power. Nvidia supplies the GPUs. By investing in those companies, Nvidia can also help them raise the capital needed to buy more computing infrastructure.The result is a company that increasingly sits at several levels of the AI economy supplier, investor, infrastructure partner and, increasingly, owner. Nvidia’s $99 billion portfolio shows just how much that role has expanded.

Nvidia’s equity investments have surged to $99 billion from about $7 billion a year earlier. The chip giant is backing AI labs, cloud providers, infrastructure and emerging technologies, using its capital to strengthen the ecosystem around its GPUs.



Nvidia is becoming much more than the company behind the world’s most powerful AI chips. The chip giant’s equity investments have surged to $99 billion, up from about $7 billion a year earlier and roughly $2.2 billion two years ago, according to its latest regulatory filing. Nvidia also disclosed another $25 billion in equity investment commitments as of July 26. The rapid expansion shows how Nvidia is using its enormous financial strength to shape the AI industry around its hardware. Instead of simply selling GPUs, Nvidia is increasingly putting money into the companies that need those GPUs. Where is Nvidia putting its billions? A large part of the strategy is focused on frontier AI labs. Nvidia CFO Colette Kress said the company had invested nearly $50 billion in frontier AI labs. Nvidia announced a $30 billion investment in OpenAI in February as part of OpenAI’s $110 billion funding round. Nvidia is also backing the rapidly growing group of so-called neoclouds companies that buy large numbers of GPUs and rent computing power to AI customers. It invested $2 billion in CoreWeave in January and another $2 billion in Nebius in March. Nvidia said the Nebius investment would help accelerate its build-out of a full-stack AI cloud platform. The strategy has now expanded beyond cloud and AI models. Nvidia is betting on the technology behind AI Nvidia has also been investing heavily in optical and photonics technology, which uses light to move data rather than traditional electrical connections. Companies including Lumentum, Coherent and Marvell have each received major investments, according to CNBC’s analysis. The technology could become increasingly important as AI systems require faster movement of enormous amounts of data. Nvidia has also benefited from the rising value of some of its investments. Its $5 billion Intel investment has reportedly risen to around $30 billion, while its SpaceX holding was valued at about $21 billion as of June, according to CNBC. Why Nvidia is doing this The strategy is simple: help the AI ecosystem grow, and Nvidia can grow with it. Nvidia itself says its investments are intended to enhance growth opportunities, cultivate its ecosystem and strengthen its competitive position. That creates a powerful cycle. AI companies need computing power. Nvidia supplies the GPUs. By investing in those companies, Nvidia can also help them raise the capital needed to buy more computing infrastructure. The result is a company that increasingly sits at several levels of the AI economy supplier, investor, infrastructure partner and, increasingly, owner. Nvidia’s $99 billion portfolio shows just how much that role has expanded.

Nvidia’s equity investments have surged to $99 billion from about $7 billion a year earlier. The chip giant is backing AI labs, cloud providers, infrastructure and emerging technologies, using its capital to strengthen the ecosystem around its GPUs.

Nvidia now has $99 billion invested across the AI industry, here’s where the money is going

OpenAI has launched GPT-6 Astra, its latest flagship AI model and a major step towards systems that can complete tasks rather than simply respond to questions.&nbsp;The company says Astra is its most capable model yet, with major improvements in computer use, browsing, coding, research, science and professional work. It was also trained using more than 100,000 GPUs at OpenAI’s Stargate facility in Texas, making it the company’s largest training run so far. The key difference is how Astra works. Instead of stopping after generating an answer, it can break a complicated request into multiple steps and carry out those steps across a computer environment.&nbsp;<h2>GPT-6 Astra can use your computer</h2>Astra can fill online forms, update customer records, organise calendars and conduct web research. It can also work inside document and spreadsheet tools, create websites, analyse data and test software. OpenAI says it can adapt when a user changes requirements during a task. The model has a 1.05-million-token context window and can generate up to 128,000 output tokens, giving it room to handle large and complicated workflows. OpenAI says Astra is particularly strong at creating polished documents, spreadsheets and presentations that follow a user's existing templates and instructions. That could make the model useful for jobs where the difficult part is not writing text, but moving between several tools and completing the entire process.&nbsp;<h2>A huge jump in AI computing</h2>The scale behind GPT-6 Astra is also notable.&nbsp;OpenAI says this was the first time it pre-trained a model using more than 100,000 GPUs at its Stargate site. The enormous training run reflects the growing computing demands of frontier AI. OpenAI's own tests show Astra completing computer-use tasks in about 47% less time than GPT-5.6 Sol in its OSWorld 2.0 latency simulations. For developers, GPT-6 Astra is priced at $10 per million input tokens and $50 per million output tokens. It is rolling out through the OpenAI API, with access also coming to ChatGPT Plus, Pro, Business and Enterprise users.&nbsp;<h2>GPT-6 Astra also raises a new AI question</h2>More capable computer-using AI also creates new safety challenges.OpenAI says Astra has reached its Critical level for cybersecurity capability. With the right tools and access, the company says it can find previously unknown vulnerabilities and develop ways to exploit them without a person guiding every step.&nbsp;That is why OpenAI has added stronger monitoring and safeguards. GPT-6 Astra is therefore more than another chatbot upgrade. It represents a shift towards AI that can reason, operate software and complete entire workflows bringing the industry closer to assistants that can actually do the work, not just describe how to do it.

OpenAI has launched GPT-6 Astra, a flagship AI model built for complex end-to-end tasks. It can use computers, browse the web, write software and create documents and presentations. OpenAI says it was trained using more than 100,000 GPUs.


OpenAI has launched GPT-6 Astra, its latest flagship AI model and a major step towards systems that can complete tasks rather than simply respond to questions. The company says Astra is its most capable model yet, with major improvements in computer use, browsing, coding, research, science and professional work. It was also trained using more than 100,000 GPUs at OpenAI’s Stargate facility in Texas, making it the company’s largest training run so far. The key difference is how Astra works. Instead of stopping after generating an answer, it can break a complicated request into multiple steps and carry out those steps across a computer environment. GPT-6 Astra can use your computer Astra can fill online forms, update customer records, organise calendars and conduct web research. It can also work inside document and spreadsheet tools, create websites, analyse data and test software. OpenAI says it can adapt when a user changes requirements during a task. The model has a 1.05-million-token context window and can generate up to 128,000 output tokens, giving it room to handle large and complicated workflows. OpenAI says Astra is particularly strong at creating polished documents, spreadsheets and presentations that follow a user's existing templates and instructions. That could make the model useful for jobs where the difficult part is not writing text, but moving between several tools and completing the entire process. A huge jump in AI computing The scale behind GPT-6 Astra is also notable. OpenAI says this was the first time it pre-trained a model using more than 100,000 GPUs at its Stargate site. The enormous training run reflects the growing computing demands of frontier AI. OpenAI's own tests show Astra completing computer-use tasks in about 47% less time than GPT-5.6 Sol in its OSWorld 2.0 latency simulations. For developers, GPT-6 Astra is priced at $10 per million input tokens and $50 per million output tokens. It is rolling out through the OpenAI API, with access also coming to ChatGPT Plus, Pro, Business and Enterprise users. GPT-6 Astra also raises a new AI question More capable computer-using AI also creates new safety challenges. OpenAI says Astra has reached its Critical level for cybersecurity capability. With the right tools and access, the company says it can find previously unknown vulnerabilities and develop ways to exploit them without a person guiding every step. That is why OpenAI has added stronger monitoring and safeguards. GPT-6 Astra is therefore more than another chatbot upgrade. It represents a shift towards AI that can reason, operate software and complete entire workflows bringing the industry closer to assistants that can actually do the work, not just describe how to do it.

OpenAI has launched GPT-6 Astra, a flagship AI model built for complex end-to-end tasks. It can use computers, browse the web, write software and create documents and presentations. OpenAI says it was trained using more than 100,000 GPUs.

OpenAI launches GPT-6 Astra, its most capable AI model yet, trained on more than 100,000 GPUs

Nvidia has agreed to acquire Hugging Face for $12.9 billion, in a major move that takes the chip giant deeper into the software and open-source side of artificial intelligence. But the deal did not begin with Nvidia knocking on Hugging Face’s door.&nbsp;Hugging Face CEO Clément Delangue told CNBC that his company approached Nvidia CEO Jensen Huang first. He said the discussions moved quickly and, just weeks later, the companies had agreed on a deal. Delangue said Hugging Face had reached a “turning point” and needed more resources, scale and visibility.&nbsp;<h2>Why Nvidia wants Hugging Face</h2>Hugging Face has become one of the biggest platforms for developers working with open-source AI models. Its platform lets researchers and developers share, discover and work with AI models, datasets and tools. Nvidia has already worked with Hugging Face, including integrating its DGX Cloud infrastructure with the platform to give developers access to AI supercomputing.&nbsp;The acquisition therefore gives Nvidia something that its GPUs alone cannot provide: a much deeper connection with the developers building AI models and applications. Nvidia said Hugging Face will remain an open platform for the wider AI ecosystem. Huang said the companies will work to scale its platform, strengthen its infrastructure and expand access to AI for developers and institutions worldwide.&nbsp;<h2>Nvidia is going far beyond chips</h2>The $12.9 billion deal shows how Nvidia’s ambitions are expanding. The company became the central hardware supplier behind the generative AI boom, but Huang has increasingly positioned Nvidia as a full AI computing platform rather than simply a chipmaker. Nvidia’s latest results show the scale of that business. It reported $96.2 billion in quarterly revenue, with data-centre revenue reaching $89 billion.&nbsp;Buying Hugging Face takes Nvidia further up the AI stack, closer to the models, developers and software that turn computing power into useful AI products.&nbsp;<h2>A major acquisition for Nvidia</h2>The Hugging Face purchase would rank among Nvidia’s largest acquisitions. The company’s strategy has increasingly involved partnerships and investments across the AI ecosystem, including model developers and infrastructure companies. For Hugging Face, meanwhile, Delangue said Nvidia was a “perfect home” for the company and its open-source community. The deal comes at an important moment for open AI models, as developers increasingly look beyond a small group of closed AI labs. Nvidia now wants to be part of that shift not just by supplying the chips, but by owning a major part of the platform where the next generation of AI developers builds.

Nvidia has agreed to acquire Hugging Face for $12.9 billion after Hugging Face CEO Clément Delangue approached Jensen Huang about a deal. The acquisition gives Nvidia a major open-source AI platform and expands its business beyond chips.

Nvidia has agreed to acquire Hugging Face for $12.9 billion, in a major move that takes the chip giant deeper into the software and open-source side of artificial intelligence. But the deal did not begin with Nvidia knocking on Hugging Face’s door. Hugging Face CEO Clément Delangue told CNBC that his company approached Nvidia CEO Jensen Huang first. He said the discussions moved quickly and, just weeks later, the companies had agreed on a deal. Delangue said Hugging Face had reached a “turning point” and needed more resources, scale and visibility. Why Nvidia wants Hugging Face Hugging Face has become one of the biggest platforms for developers working with open-source AI models. Its platform lets researchers and developers share, discover and work with AI models, datasets and tools. Nvidia has already worked with Hugging Face, including integrating its DGX Cloud infrastructure with the platform to give developers access to AI supercomputing. The acquisition therefore gives Nvidia something that its GPUs alone cannot provide: a much deeper connection with the developers building AI models and applications. Nvidia said Hugging Face will remain an open platform for the wider AI ecosystem. Huang said the companies will work to scale its platform, strengthen its infrastructure and expand access to AI for developers and institutions worldwide. Nvidia is going far beyond chips The $12.9 billion deal shows how Nvidia’s ambitions are expanding. The company became the central hardware supplier behind the generative AI boom, but Huang has increasingly positioned Nvidia as a full AI computing platform rather than simply a chipmaker. Nvidia’s latest results show the scale of that business. It reported $96.2 billion in quarterly revenue, with data-centre revenue reaching $89 billion. Buying Hugging Face takes Nvidia further up the AI stack, closer to the models, developers and software that turn computing power into useful AI products. A major acquisition for Nvidia The Hugging Face purchase would rank among Nvidia’s largest acquisitions. The company’s strategy has increasingly involved partnerships and investments across the AI ecosystem, including model developers and infrastructure companies. For Hugging Face, meanwhile, Delangue said Nvidia was a “perfect home” for the company and its open-source community. The deal comes at an important moment for open AI models, as developers increasingly look beyond a small group of closed AI labs. Nvidia now wants to be part of that shift not just by supplying the chips, but by owning a major part of the platform where the next generation of AI developers builds.

Nvidia has agreed to acquire Hugging Face for $12.9 billion after Hugging Face CEO Clément Delangue approached Jensen Huang about a deal. The acquisition gives Nvidia a major open-source AI platform and expands its business beyond chips.

Jensen Huang’s Nvidia makes a huge open-source AI bet with Hugging Face deal

Apple has a new CEO, but John Ternus is not the typical corporate chief. He does not have an MBA or a master’s degree. Instead, the longtime Apple engineer has a bachelor’s degree in mechanical engineering from the University of Pennsylvania.&nbsp;What makes Ternus particularly interesting is something much harder to put on a CV: an almost obsessive attention to detail. During a 2024 commencement speech at Penn Engineering, Ternus recalled a moment from one of his earliest projects at Apple. He had become fixated on the tiny grooves cut into stainless-steel screws used on the back of the Cinema Display.&nbsp;Most customers would probably never notice them.&nbsp;Ternus did.Apple CEO once counted screw grooves at midnightTernus recalled working late at night, far from home, when he used a magnifying glass to count the grooves on one of the screws.&nbsp;The supplier's parts had 35 grooves.They were supposed to have 25. He found himself arguing with the supplier over the difference. Then came the question he asked himself: “What the hell am I doing? Is this normal?”&nbsp;His answer was revealing. “It might not be normal, but it’s right,” Ternus said. For him, the detail mattered even if the customer never saw it. After spending months developing a product, he believed the team should get every part right. That philosophy has an obvious resemblance to the culture associated with Steve Jobs, who was famously known for his intense focus on product details.&nbsp;<h2>Who is John Ternus?</h2>Ternus joined Apple’s Product Design team in 2001. He became vice president of Hardware Engineering in 2013 and joined Apple’s executive team as senior vice president of Hardware Engineering in 2021. He has overseen hardware engineering across major Apple products, including iPhone, iPad, Mac, Apple Watch and AirPods. Apple also credits him with work on reliability, durability, materials and hardware design. Before Apple, Ternus worked as a mechanical engineer at Virtual Research Systems. Now, after 15 years of Tim Cook leading Apple, Ternus is in charge.&nbsp;<h2>Ternus’ first big Apple moment</h2>Ternus officially became CEO on September 1, 2026, with Cook moving to executive chairman. Apple says the transition followed a long-term succession plan.&nbsp;His first major public test is already approaching. Apple has scheduled its “Surprise and shine” event for September 9. The company has not confirmed the products coming to the event, but the launch is expected to be a major iPhone event. For a CEO who once stayed up counting screw grooves that customers might never see, the message is clear: the smallest details may matter just as much as the biggest products.

Apple CEO John Ternus has a bachelor’s degree in mechanical engineering, not an MBA or master’s degree. His unusual obsession with counting screw grooves during an early Apple project highlights the attention to detail that now defines the company’s new leader.

Apple has a new CEO, but John Ternus is not the typical corporate chief. He does not have an MBA or a master’s degree. Instead, the longtime Apple engineer has a bachelor’s degree in mechanical engineering from the University of Pennsylvania. What makes Ternus particularly interesting is something much harder to put on a CV: an almost obsessive attention to detail. During a 2024 commencement speech at Penn Engineering, Ternus recalled a moment from one of his earliest projects at Apple. He had become fixated on the tiny grooves cut into stainless-steel screws used on the back of the Cinema Display. Most customers would probably never notice them. Ternus did. Apple CEO once counted screw grooves at midnight Ternus recalled working late at night, far from home, when he used a magnifying glass to count the grooves on one of the screws. The supplier's parts had 35 grooves. They were supposed to have 25. He found himself arguing with the supplier over the difference. Then came the question he asked himself: “What the hell am I doing? Is this normal?” His answer was revealing. “It might not be normal, but it’s right,” Ternus said. For him, the detail mattered even if the customer never saw it. After spending months developing a product, he believed the team should get every part right. That philosophy has an obvious resemblance to the culture associated with Steve Jobs, who was famously known for his intense focus on product details. Who is John Ternus? Ternus joined Apple’s Product Design team in 2001. He became vice president of Hardware Engineering in 2013 and joined Apple’s executive team as senior vice president of Hardware Engineering in 2021. He has overseen hardware engineering across major Apple products, including iPhone, iPad, Mac, Apple Watch and AirPods. Apple also credits him with work on reliability, durability, materials and hardware design. Before Apple, Ternus worked as a mechanical engineer at Virtual Research Systems. Now, after 15 years of Tim Cook leading Apple, Ternus is in charge. Ternus’ first big Apple moment Ternus officially became CEO on September 1, 2026, with Cook moving to executive chairman. Apple says the transition followed a long-term succession plan. His first major public test is already approaching. Apple has scheduled its “Surprise and shine” event for September 9. The company has not confirmed the products coming to the event, but the launch is expected to be a major iPhone event. For a CEO who once stayed up counting screw grooves that customers might never see, the message is clear: the smallest details may matter just as much as the biggest products.

Apple CEO John Ternus has a bachelor’s degree in mechanical engineering, not an MBA or master’s degree. His unusual obsession with counting screw grooves during an early Apple project highlights the attention to detail that now defines the company’s new leader.

No MBA, no master’s degree: Apple CEO John Ternus has one Steve Jobs-like quality

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Apple’s new CEO John Ternus was once obsessed with a detail nobody would see