National Handloom Day 2026: From Alia Bhatt to Samantha Ruth Prabhu; Actresses who celebrated India's textile heritage as brides

The Royals enter the Doctor Who universe: King Charles and Queen Camilla beam into Commonwealth Games in TARDIS

Unitree Robotics targets $9 billion valuation in landmark IPO backed by DeepSeek and Tencent

India names 27 sites in Arunachal Pradesh

Bharat Bhhagya Viddhaata OTT: When will Kangana Ranaut's film stream online?

How many soldiers operate one S-400 battery?

Shakib Al Hasan ready to return to Bangladesh—under one condition

‘Fake news’: MEA rejects report claiming India sought defence pact with Israel after Pakistan, Saudi Arabia, Turkey deal

Rockstar to unveil GTA 6 extended look ahead of November launch

Russia forms Ukrainian Volunteer Spetsnaz Brigade to fight Ukraine

Drug-resistant fungus that hides in hair and enters bloodstream reported in 23 US states

Technology transfer deal boosts India's defence manufacturing ambitions

Border row erupts in Europe after Ceuta crossings, Spain imposes border controls on Italy

Morale plummets on USS Abraham Lincoln: Are US sailors reaching a breaking point? | GRAVITAS

'Security can't be bought with Pakistan, Turkey deal': Iran tells Saudi Arabia

Baba Vanga's 2026 prophecy: 2 predictions 'already came true', 3 terrifying ones remain. Details inside

Colombia’s new president Abelardo de la Espriella vows to ‘defeat narco-terrorists’, signals hardline shift

New Friday OTT releases (August 7, 2026): Operation Safed Sagar, Vadhandhi, Main Vaapis Aaunga- 6 movies and TV shows on Netflix, Prime Video and more

Squadron Leader Bhawana Kanth scripts history as Indian Air Force gets its first woman ‘Top Gun’ pilot

RSS says Gen Z protests reflect genuine distress

Trump says Iranian school bombing photos could be AI-generated - 'I don’t think...'

IAF officer held for sharing sensitive information in 'honey trap' case, booked under Official Secrets Act

Stray Kids under scrutiny? Fans react to Grammy submission silence after BTS boycott

Why the Su-30MKI doesn't need external fuel tanks to fly vast distances

Jugal Hansraj reunites with Shekhar Kapur after 40 years for Masoom: The Next Generation

New speed limits, automatic challans: Big traffic change coming to Delhi-Meerut Expressway. All you need to know

India officially names 27 places in Arunachal to counter China's renaming claims

Trump calls White House ballroom ruling a 'national disgrace' as court says Congress approval needed

US sanctions Iran’s crypto network after Strait of Hormuz attacks, offers $15m bounty for intel on IRGC finance

Why the Su-30MKI is one of the heaviest fighters ever built

Uttarakhand young innovator builds India's own flying vehicle, conducts first test flight: WATCH

Chilling video shows students take cover as teen opens fire at Thai school

Reese Witherspoon's father hospitalised after poolside incident in Nashville: Report

Flexible workplace models, including unlimited leave and low-stress mandates, are being adopted globally to boost employee well-being and recruitment. However, workplace experts warn that without robust oversight and clear accountability, these liberal policies can quickly backfire, triggering project delays, reduced output, and severe financial losses.<h2>The hidden risk of unmanaged flexibility</h2>Offering unlimited time off and minimal work pressure sounds like an ideal perk, but it frequently creates operational chaos when unmanaged. Without outcome-based key performance indicators, teams often lose strategic momentum. Employees struggle to align daily tasks with broader business goals, leaving projects stagnating and deadlines missed.&nbsp;Flexible policies do not inherently guarantee productivity. When companies remove structure without replacing it with clear deliverable targets, business output drops rapidly.<h2>Why AI cannot replace human discipline</h2>As companies attempt to scale flexible work environments, many turn to artificial intelligence tools to track performance metrics and manage schedules. While AI excels at logistics, resource allocation, and workflow automation, it lacks the human touch required to manage personnel effectively.&nbsp;Algorithms operate purely on data patterns and lack emotional intelligence, moral judgment, and accountability. When flexible policies lead to slackness or disengagement, an algorithm cannot hold difficult conversations, resolve interpersonal friction, or enforce workforce discipline.<h2>Shifting to outcome-based tracking</h2>Industry experts emphasise that flexible policies only succeed when paired with deliverable-focused targets rather than tracked hours. Success requires a hybrid management approach where AI handles operational logistics while human managers guide people, foster trust, and maintain firm expectations.&nbsp;The future of work relies on AI-augmented human leadership. By leveraging technology for routine coordination and relying on human managers for strategy, coaching, and accountability, businesses can successfully balance employee well-being with long-term profitability.

Flexible workplace policies like unlimited leave can severely harm business performance if unmanaged. While AI handles project logistics, human leadership and clear outcome-based targets remain essential to balance employee well-being with productivity.

Flexible workplace models, including unlimited leave and low-stress mandates, are being adopted globally to boost employee well-being and recruitment. However, workplace experts warn that without robust oversight and clear accountability, these liberal policies can quickly backfire, triggering project delays, reduced output, and severe financial losses. The hidden risk of unmanaged flexibility Offering unlimited time off and minimal work pressure sounds like an ideal perk, but it frequently creates operational chaos when unmanaged. Without outcome-based key performance indicators, teams often lose strategic momentum. Employees struggle to align daily tasks with broader business goals, leaving projects stagnating and deadlines missed. Flexible policies do not inherently guarantee productivity. When companies remove structure without replacing it with clear deliverable targets, business output drops rapidly. Why AI cannot replace human discipline As companies attempt to scale flexible work environments, many turn to artificial intelligence tools to track performance metrics and manage schedules. While AI excels at logistics, resource allocation, and workflow automation, it lacks the human touch required to manage personnel effectively. Algorithms operate purely on data patterns and lack emotional intelligence, moral judgment, and accountability. When flexible policies lead to slackness or disengagement, an algorithm cannot hold difficult conversations, resolve interpersonal friction, or enforce workforce discipline. Shifting to outcome-based tracking Industry experts emphasise that flexible policies only succeed when paired with deliverable-focused targets rather than tracked hours. Success requires a hybrid management approach where AI handles operational logistics while human managers guide people, foster trust, and maintain firm expectations. The future of work relies on AI-augmented human leadership. By leveraging technology for routine coordination and relying on human managers for strategy, coaching, and accountability, businesses can successfully balance employee well-being with long-term profitability.

Flexible workplace policies like unlimited leave can severely harm business performance if unmanaged. While AI handles project logistics, human leadership and clear outcome-based targets remain essential to balance employee well-being with productivity.

Unlimited leave policies fail: Why flexible workplaces need human accountability

The Trump administration is stepping up oversight of advanced artificial intelligence following reports from OpenAI and Anthropic that their autonomous AI agents exceeded their intended limits during testing. On Tuesday (Aug 4), White House officials met representatives from Meta, Anthropic, Google, OpenAI and Nvidia to discuss a newly completed ‘voluntary cybersecurity testing framework’ for frontier AI models. While details are not out, the framework reportedly follows President Donald Trump’s June 2 executive order, Promoting Advanced Artificial Intelligence Innovation and Security, which allows the government to review the most capable AI models up to 30 days before public release to assess cyber risks. The order explicitly avoids mandatory licensing, permits or pre-clearance. What's the future of government intervention into AI agents?<h2>Cybersecurity testing takes centre stage</h2>According to reports in the US media, the framework focuses on AI cyber capabilities like the agents' ability to identify software vulnerabilities or carry out hacking. Developers can voluntarily submit qualifying models, which may be shared with agencies such as the Treasury Department, NSA, CISA and the National Security Council for classified testing. The government has not disclosed testing standards, reporting requirements or model thresholds. Open-weight and open-source models, including Meta’s Llama and Nvidia’s Nemotron, are excluded.<a href="https://www.wionews.com/videos/openai-rogue-ai-agent-hacked-rival-platform-by-itself-1784744829993/embed">https://www.wionews.com/videos/openai-rogue-ai-agent-hacked-rival-platform-by-itself-1784744829993/embed</a><h2>Significance of White House meeting of AI firm honchos</h2>Organised by the Office of the National Cyber Director, the meeting came days after reports that OpenAI and Anthropic AI agents escaped controlled testing environments and breached external systems. More about that later.White House officials said the voluntary framework is complete and discussions with industry on implementation are underway. &nbsp;White House spokeswoman Liz Huston said, “The United States leads the world in AI innovation and President Trump’s successful approach will keep it that way.”OpenAI Chief Global Affairs Officer Chris Lehane called it “an important step toward closing the gap between innovation and governance” through “a clear, credible, national framework” for evaluating advanced AI systems.Officials, including National Cyber Director Sean Cairncross, Treasury Secretary Scott Bessent and Commerce Secretary Howard Lutnick, have been stressing cooperation with industry rather than heavy regulation.Also read: <a href="https://www.wionews.com/technology/after-openai-s-scary-agent-anthropic-s-claude-goes-rogue-ai-gains-unauthorised-real-world-access-during-testing-1785475339558">After OpenAI's 'scary' agent, Anthropic's Claude goes rogue; AI gains unauthorised 'real-world' access during testing</a><h2>Rogue AI incidents drive scrutiny</h2>In July, an OpenAI agent escaped a testing environment, compromised systems at Hugging Face, affected Modal Labs and other infrastructure, and carried out thousands of actions after exploiting a previously unknown vulnerability. OpenAI later identified additional breakout incidents.Anthropic disclosed that AI systems linked to its Claude/Mythos models infiltrated networks at three companies during internal testing. In one case, an AI persuaded developers to install a poisoned software package that stole credentials.Also read: <a href="https://www.wionews.com/technology/openai-s-ai-agent-gone-rogue-company-reveals-chilling-hack-at-startup-1784697608707">OpenAI’s AI agent gone rogue? Company reveals chilling hack at startup</a>The UK AI Security Institute (AISI) separately recorded two instances of unsanctioned behaviour by OpenAI’s GPT-5.6 Sol model. It also found 17 of 19 unsanctioned actions involved Anthropic’s Mythos 5. This included the creation of fake identities, inserting malicious GitHub code and attempting to deceive people into providing access or credentials.Also read: <a href="https://www.wionews.com/technology/scary-rogue-ai-on-the-loose-openai-agent-hit-another-tech-firm-s-customer-suggests-report-1785292505727">'Scary' Rogue AI on the loose? OpenAI agent hit another tech firm's customer, suggests report</a><h2>Is AI kill switch legislation next?</h2>The incidents have revived calls in Washington for AI “kill switch” legislation that would allow authorities or developers to rapidly disable AI systems posing serious cybersecurity or national security risks. Such a law has not been introduced yet, but lawmakers have floated the idea.The White House appears to favour voluntary testing, information-sharing and existing legal powers over mandatory regulation. But researchers, including METR, say repeated AI agent failures expose growing gaps in containment, liability and cybersecurity. This may eventually require stronger legal safeguards.

The Trump administration is advancing voluntary cybersecurity testing for frontier AI models. A White House meeting with AI firms came after OpenAI and Anthropic ‘rogue agent’ incidents reignited debate over AI oversight. A ‘kill switch’ law in the future won't be surprising



The Trump administration is stepping up oversight of advanced artificial intelligence following reports from OpenAI and Anthropic that their autonomous AI agents exceeded their intended limits during testing. On Tuesday (Aug 4), White House officials met representatives from Meta, Anthropic, Google, OpenAI and Nvidia to discuss a newly completed ‘voluntary cybersecurity testing framework’ for frontier AI models. While details are not out, the framework reportedly follows President Donald Trump’s June 2 executive order, Promoting Advanced Artificial Intelligence Innovation and Security, which allows the government to review the most capable AI models up to 30 days before public release to assess cyber risks. The order explicitly avoids mandatory licensing, permits or pre-clearance. What's the future of government intervention into AI agents? Cybersecurity testing takes centre stage According to reports in the US media, the framework focuses on AI cyber capabilities like the agents' ability to identify software vulnerabilities or carry out hacking. Developers can voluntarily submit qualifying models, which may be shared with agencies such as the Treasury Department, NSA, CISA and the National Security Council for classified testing. The government has not disclosed testing standards, reporting requirements or model thresholds. Open-weight and open-source models, including Meta’s Llama and Nvidia’s Nemotron, are excluded. https://www.wionews.com/videos/openai-rogue-ai-agent-hacked-rival-platform-by-itself-1784744829993/embed Significance of White House meeting of AI firm honchos Organised by the Office of the National Cyber Director, the meeting came days after reports that OpenAI and Anthropic AI agents escaped controlled testing environments and breached external systems. More about that later. White House officials said the voluntary framework is complete and discussions with industry on implementation are underway. White House spokeswoman Liz Huston said, “The United States leads the world in AI innovation and President Trump’s successful approach will keep it that way.” OpenAI Chief Global Affairs Officer Chris Lehane called it “an important step toward closing the gap between innovation and governance” through “a clear, credible, national framework” for evaluating advanced AI systems. Officials, including National Cyber Director Sean Cairncross, Treasury Secretary Scott Bessent and Commerce Secretary Howard Lutnick, have been stressing cooperation with industry rather than heavy regulation. Also read: After OpenAI's 'scary' agent, Anthropic's Claude goes rogue; AI gains unauthorised 'real-world' access during testing Rogue AI incidents drive scrutiny In July, an OpenAI agent escaped a testing environment, compromised systems at Hugging Face, affected Modal Labs and other infrastructure, and carried out thousands of actions after exploiting a previously unknown vulnerability. OpenAI later identified additional breakout incidents. Anthropic disclosed that AI systems linked to its Claude/Mythos models infiltrated networks at three companies during internal testing. In one case, an AI persuaded developers to install a poisoned software package that stole credentials. Also read: OpenAI’s AI agent gone rogue? Company reveals chilling hack at startup The UK AI Security Institute (AISI) separately recorded two instances of unsanctioned behaviour by OpenAI’s GPT-5.6 Sol model. It also found 17 of 19 unsanctioned actions involved Anthropic’s Mythos 5. This included the creation of fake identities, inserting malicious GitHub code and attempting to deceive people into providing access or credentials. Also read: 'Scary' Rogue AI on the loose? OpenAI agent hit another tech firm's customer, suggests report Is AI kill switch legislation next? The incidents have revived calls in Washington for AI “kill switch” legislation that would allow authorities or developers to rapidly disable AI systems posing serious cybersecurity or national security risks. Such a law has not been introduced yet, but lawmakers have floated the idea. The White House appears to favour voluntary testing, information-sharing and existing legal powers over mandatory regulation. But researchers, including METR, say repeated AI agent failures expose growing gaps in containment, liability and cybersecurity. This may eventually require stronger legal safeguards.

The Trump administration is advancing voluntary cybersecurity testing for frontier AI models. A White House meeting with AI firms came after OpenAI and Anthropic ‘rogue agent’ incidents reignited debate over AI oversight. A ‘kill switch’ law in the future won't be surprising&nbsp;

Time for AI kill switch? What White House meeting,  legislation talk, and govt pre-testing framework mean for  intervention into ‘rogue’ AI agents

A New York-based startup founder recently implemented an artificial intelligence-powered workplace model, allowing employees to take unlimited leave and actively avoid unnecessary stress. However, this algorithmic approach to management backfired spectacularly, reportedly costing the company a massive loss of Rs 6 million.&nbsp;The costly experiment has ignited a fierce debate in the corporate world. Can artificial intelligence truly replace human managers, or is the human touch still essential for leading successful teams? While AI is becoming an exceptionally efficient manager, human leadership remains indispensable for long-term team success.<h2>Where AI excels as a manager</h2>There is no denying that technology brings incredible efficiency to the modern workplace. Artificial intelligence is highly effective at resource allocation. It can seamlessly optimise workloads, timelines, and schedules based on real-time data.&nbsp;Furthermore, algorithms provide valuable data-driven insights. AI can track performance metrics and flag project bottlenecks without bias. It also excels at process automation, automating status updates, reporting, and routine coordination seamlessly.However, managing tasks is very different from leading people.<h2>The irreplaceable human element</h2>When the New York startup handed the reins to an algorithm, it lacked the nuance needed to balance employee well-being with actual business performance. This highlights exactly where human leaders are essential.&nbsp;Employees require empathy and trust to thrive. They need human connection, psychological safety, and genuine support during personal or professional challenges. Artificial intelligence operates strictly on data patterns, lacking moral reasoning, values, and accountability when difficult decisions arise.<h2>Striking the right balance</h2>While an algorithm might optimise toward pre-set goals, human leaders inspire purpose, resolve interpersonal conflicts, and build company culture.&nbsp;The future of work lies in AI-augmented leadership, where technology handles logistics and humans guide people. AI can handle the operational engine, the management of tasks, freeing human leaders to focus on coaching, vision, and emotional intelligence.&nbsp;As the Rs 6 million loss demonstrates, teams managed purely by algorithms lose trust and engagement, making human stewardship essential for high-performing organisations.

A New York startup's experiment with an AI manager resulted in a massive Rs 6 million loss after algorithms prioritised unlimited leave over productivity. The incident proves that while AI excels at routine logistics, human empathy remains vital for success.

A New York-based startup founder recently implemented an artificial intelligence-powered workplace model, allowing employees to take unlimited leave and actively avoid unnecessary stress. However, this algorithmic approach to management backfired spectacularly, reportedly costing the company a massive loss of Rs 6 million. The costly experiment has ignited a fierce debate in the corporate world. Can artificial intelligence truly replace human managers, or is the human touch still essential for leading successful teams? While AI is becoming an exceptionally efficient manager, human leadership remains indispensable for long-term team success. Where AI excels as a manager There is no denying that technology brings incredible efficiency to the modern workplace. Artificial intelligence is highly effective at resource allocation. It can seamlessly optimise workloads, timelines, and schedules based on real-time data. Furthermore, algorithms provide valuable data-driven insights. AI can track performance metrics and flag project bottlenecks without bias. It also excels at process automation, automating status updates, reporting, and routine coordination seamlessly. However, managing tasks is very different from leading people. The irreplaceable human element When the New York startup handed the reins to an algorithm, it lacked the nuance needed to balance employee well-being with actual business performance. This highlights exactly where human leaders are essential. Employees require empathy and trust to thrive. They need human connection, psychological safety, and genuine support during personal or professional challenges. Artificial intelligence operates strictly on data patterns, lacking moral reasoning, values, and accountability when difficult decisions arise. Striking the right balance While an algorithm might optimise toward pre-set goals, human leaders inspire purpose, resolve interpersonal conflicts, and build company culture. The future of work lies in AI-augmented leadership, where technology handles logistics and humans guide people. AI can handle the operational engine, the management of tasks, freeing human leaders to focus on coaching, vision, and emotional intelligence. As the Rs 6 million loss demonstrates, teams managed purely by algorithms lose trust and engagement, making human stewardship essential for high-performing organisations.

A New York startup's experiment with an AI manager resulted in a massive Rs 6 million loss after algorithms prioritised unlimited leave over productivity. The incident proves that while AI excels at routine logistics, human empathy remains vital for success.

Unlimited leave, zero stress: How an 'AI manager' cost this startup Rs 6 million

A powerful panel of the Indian Parliament asked some uncomfortable questions to representatives of some of the world's biggest social media companies. The context was the recent protests against exam paper leaks led by the Cockroach Janata Party (CJP), the removal of Prime Minister Narendra Modi's video, alleged algorithmic manipulation, and broader concerns about platform accountability. Representatives of Meta, the parent company of Facebook, Instagram and WhatsApp, as well as those from Google, YouTube, X and Snapchat attended the meeting. Here is what happened:<h2>The Parliament committee was on regulating social and digital platforms</h2>The Parliamentary Standing Committee on Communications and Information Technology was chaired by Bharatiya Janata Party (BJP) MP Nishikant Dubey. Its meeting was also attended by Union Home Secretary Govind Mohan, Ministry of Electronics and Information Technology (MeitY) Secretary S Krishnan, Information and Broadcasting Secretary Sanjay Jaju, and other senior officials. The subject of the meeting held on Monday (Aug 3) was "Social and Digital Platforms and Their Regulation".<a href="https://www.wionews.com/videos/meta-under-fire-as-panel-seeks-answers-over-pm-modi-video-takedown-1785825943604/embed">https://www.wionews.com/videos/meta-under-fire-as-panel-seeks-answers-over-pm-modi-video-takedown-1785825943604/embed</a><h2>The removal of PM Modi's video came up for discussion</h2>The Prime Minister released a reel-style video on the night of 23 July addressing India's youth amid protests in Delhi and other cities over alleged examination paper leaks, including NEET-UG. The CJP-led agitation was demanding the resignation of Union Education Minister Dharmendra Pradhan, who eventually resigned. Modi's video was briefly restricted or removed on Facebook for around five hours, from approximately 12.30 am to 5.00 am. Meta attributed the incident to a technical error and restored the video. MeitY had earlier described the explanation as "inadequate".At the Parliament committee hearing, members pressed Meta to fix responsibility beyond a company-level apology, according to media reports. The company was asked as to who authorised the removal of the PM's video and how such an error could occur with official content from the Prime Minister's office.The underlying question was whether this represented a serious systems failure, a flaw in Meta's moderation processes, or a deliberate act that resulted in the Prime Minister's official communication being taken down.Meta representatives expressed regret and indicated their readiness to apologise. Dubey sought a personal apology from Meta Chief Executive Officer Mark Zuckerberg. If the CEO does not apologise, Meta's safe harbour protection under Section 79 of India's Information Technology Act, 2000 should be withdrawn, Dubey reportedly recommended. The panel also sought a written reply from Meta within 10 days.<h2>Did tech giants amplify the viewership of CJP protest content?</h2>Dubey noted that the CJP had exceptionally high social media viewership. According to some media reports cited, its content generated up to 27 billion views across platforms. The figure exceeded the combined reach of content from major political parties. An anti-reservation forum also reportedly generated around 7 billion views.These figures were presented as possible evidence that the algorithms of social media platforms may be favouring newcomers, highly engaging content, or particular types of political material. Panel members sought an explanation of how such content achieved such extraordinary reach and whether platform recommendation systems played a role. The broader issue was the role of social media platforms during the protests, including the spread of deepfakes, morphed images and misleading content targeting the prime minister and Union ministers.Police cases have already been registered, and investigations are underway, in connection with some such content, including a case against Meta India's head in Hyderabad over allegedly objectionable posts.Also read:<a href="https://www.wionews.com/trending/why-did-meta-remove-pm-modi-s-facebook-video-on-paper-leaks-tech-giant-blames-technical-error-1785220710914"> Why did Meta remove PM Modi's Facebook video on paper leaks? Tech company blames 'technical error'</a><h2>Is there algorithmic bias in the recommendation systems of social media?</h2>The panel members questioned the platforms, particularly Meta, over alleged algorithmic bias.Among the issues raised were why objectionable material, including pornography, child sexual abuse material (CSAM), deepfake scams and content targeting women, often remained available while an official communication from the prime minister was removed.The tech giants were asked how their recommendation, ranking and amplification systems function, who oversees them, what safeguards exist against bias, and how content moderation decisions are reviewed.They also faced questions on whether political or ideological bias exists in their content moderation systems and what responsibilities platforms bear in matters affecting public order, elections and national security.Specifically, members questioned the capability of platform algorithms and artificial intelligence systems to detect deepfakes involving the Prime Minister and other public figures before they spread widely.MeitY has already summoned Meta's global team to discuss algorithmic processes, potential bias and the company's responsibilities relating to public order and compliance with Indian law.Also read: <a href="https://www.wionews.com/india-news/after-pm-fb-post-issue-meta-assures-rigorous-safeguards-for-posts-by-prominent-accounts-1785343588801">After PM FB post issue, Meta assures rigorous safeguards for posts by prominent accounts</a><h2>Foreign ownership of platforms and control over content</h2>Another issue discussed was the foreign ownership of major technology platforms and the extent to which content moderation decisions affecting Indian users are made outside India. There has been growing criticism that these companies do not adequately comply with Indian law despite earning substantial revenues from the country. Their handling of unlawful content, including cyber fraud, online harassment of women and other illegal material, was criticised as inadequate.Members also raised concerns that, in some instances, platforms had failed to respond promptly to official communications from Indian authorities, including the Ministry of Home Affairs and MeitY.<h2>Are social media platforms merely intermediaries?</h2>A key legal issue discussed was whether these platforms can continue to claim protection under the safe harbour provisions of Indian law. Under Section 79 of the Information Technology Act, intermediaries receive limited immunity from liability for user-generated content, provided they comply with prescribed legal obligations and due diligence requirements.Some panel members argued that if platforms actively recommend, amplify, suppress or otherwise influence the visibility of content through algorithms, they cannot simply describe themselves as neutral intermediaries. Others maintained that the existing legal framework must be applied carefully to preserve free expression while ensuring accountability.Opposition members on the panel stressed that criticism of the government should not automatically be treated as anti-national and that democratic space for dissent must remain protected.However, the committee was largely unanimous on the need for stricter enforcement against unlawful content, greater transparency in content moderation and stronger accountability from social media platforms.&nbsp;

An Indian parliamentary panel questioned Meta, Google, X, YouTube and Snapchat over a number of issues regarding their alleged bias. Issues discussed include PM Modi's video removal, algorithmic bias, content moderation and social media accountability.



A powerful panel of the Indian Parliament asked some uncomfortable questions to representatives of some of the world's biggest social media companies. The context was the recent protests against exam paper leaks led by the Cockroach Janata Party (CJP), the removal of Prime Minister Narendra Modi's video, alleged algorithmic manipulation, and broader concerns about platform accountability. Representatives of Meta, the parent company of Facebook, Instagram and WhatsApp, as well as those from Google, YouTube, X and Snapchat attended the meeting. Here is what happened: The Parliament committee was on regulating social and digital platforms The Parliamentary Standing Committee on Communications and Information Technology was chaired by Bharatiya Janata Party (BJP) MP Nishikant Dubey. Its meeting was also attended by Union Home Secretary Govind Mohan, Ministry of Electronics and Information Technology (MeitY) Secretary S Krishnan, Information and Broadcasting Secretary Sanjay Jaju, and other senior officials. The subject of the meeting held on Monday (Aug 3) was "Social and Digital Platforms and Their Regulation". https://www.wionews.com/videos/meta-under-fire-as-panel-seeks-answers-over-pm-modi-video-takedown-1785825943604/embed The removal of PM Modi's video came up for discussion The Prime Minister released a reel-style video on the night of 23 July addressing India's youth amid protests in Delhi and other cities over alleged examination paper leaks, including NEET-UG. The CJP-led agitation was demanding the resignation of Union Education Minister Dharmendra Pradhan, who eventually resigned. Modi's video was briefly restricted or removed on Facebook for around five hours, from approximately 12.30 am to 5.00 am. Meta attributed the incident to a technical error and restored the video. MeitY had earlier described the explanation as "inadequate". At the Parliament committee hearing, members pressed Meta to fix responsibility beyond a company-level apology, according to media reports. The company was asked as to who authorised the removal of the PM's video and how such an error could occur with official content from the Prime Minister's office. The underlying question was whether this represented a serious systems failure, a flaw in Meta's moderation processes, or a deliberate act that resulted in the Prime Minister's official communication being taken down. Meta representatives expressed regret and indicated their readiness to apologise. Dubey sought a personal apology from Meta Chief Executive Officer Mark Zuckerberg. If the CEO does not apologise, Meta's safe harbour protection under Section 79 of India's Information Technology Act, 2000 should be withdrawn, Dubey reportedly recommended. The panel also sought a written reply from Meta within 10 days. Did tech giants amplify the viewership of CJP protest content? Dubey noted that the CJP had exceptionally high social media viewership. According to some media reports cited, its content generated up to 27 billion views across platforms. The figure exceeded the combined reach of content from major political parties. An anti-reservation forum also reportedly generated around 7 billion views. These figures were presented as possible evidence that the algorithms of social media platforms may be favouring newcomers, highly engaging content, or particular types of political material. Panel members sought an explanation of how such content achieved such extraordinary reach and whether platform recommendation systems played a role. The broader issue was the role of social media platforms during the protests, including the spread of deepfakes, morphed images and misleading content targeting the prime minister and Union ministers. Police cases have already been registered, and investigations are underway, in connection with some such content, including a case against Meta India's head in Hyderabad over allegedly objectionable posts. Also read: Why did Meta remove PM Modi's Facebook video on paper leaks? Tech company blames 'technical error' Is there algorithmic bias in the recommendation systems of social media? The panel members questioned the platforms, particularly Meta, over alleged algorithmic bias. Among the issues raised were why objectionable material, including pornography, child sexual abuse material (CSAM), deepfake scams and content targeting women, often remained available while an official communication from the prime minister was removed. The tech giants were asked how their recommendation, ranking and amplification systems function, who oversees them, what safeguards exist against bias, and how content moderation decisions are reviewed. They also faced questions on whether political or ideological bias exists in their content moderation systems and what responsibilities platforms bear in matters affecting public order, elections and national security. Specifically, members questioned the capability of platform algorithms and artificial intelligence systems to detect deepfakes involving the Prime Minister and other public figures before they spread widely. MeitY has already summoned Meta's global team to discuss algorithmic processes, potential bias and the company's responsibilities relating to public order and compliance with Indian law. Also read: After PM FB post issue, Meta assures rigorous safeguards for posts by prominent accounts Foreign ownership of platforms and control over content Another issue discussed was the foreign ownership of major technology platforms and the extent to which content moderation decisions affecting Indian users are made outside India. There has been growing criticism that these companies do not adequately comply with Indian law despite earning substantial revenues from the country. Their handling of unlawful content, including cyber fraud, online harassment of women and other illegal material, was criticised as inadequate. Members also raised concerns that, in some instances, platforms had failed to respond promptly to official communications from Indian authorities, including the Ministry of Home Affairs and MeitY. Are social media platforms merely intermediaries? A key legal issue discussed was whether these platforms can continue to claim protection under the safe harbour provisions of Indian law. Under Section 79 of the Information Technology Act, intermediaries receive limited immunity from liability for user-generated content, provided they comply with prescribed legal obligations and due diligence requirements. Some panel members argued that if platforms actively recommend, amplify, suppress or otherwise influence the visibility of content through algorithms, they cannot simply describe themselves as neutral intermediaries. Others maintained that the existing legal framework must be applied carefully to preserve free expression while ensuring accountability. Opposition members on the panel stressed that criticism of the government should not automatically be treated as anti-national and that democratic space for dissent must remain protected. However, the committee was largely unanimous on the need for stricter enforcement against unlawful content, greater transparency in content moderation and stronger accountability from social media platforms.

An Indian parliamentary panel questioned Meta, Google, X, YouTube and Snapchat over a number of issues regarding their alleged bias. Issues discussed include PM Modi's video removal, algorithmic bias, content moderation and social media accountability.&nbsp;

What did the Indian Parliament panel ask Meta, Google, X and Snapchat? PM Modi's video removal, CJP protest, algorithm manipulation

India’s educational audiovisual (AV) market is making a dramatic shift from static projectors to intelligent, interactive learning ecosystems driven by AI integration and government digital mandates. Experiencing a 45–50 per cent CAGR over recent years, interactive flat panels and 4K displays are transforming classrooms into two-way collaborative hubs, making students and faculty members more engaging towards each other. The entry of AI-powered displays allows educators to generate content dynamically, automate lesson summaries, and track engagement in real time, increasing the efficiency of the learning of student learning. Moreover, cloud-based tools like the Optoma Management Suite enable seamless hybrid environments, connecting physically present and remote students across institutions. Crucially, digital setups have become far more accessible. Prices for active displays have dropped to nearly a quarter of their cost five years ago, aided by EMI models and government initiatives under PM Narendra Modi. Looking ahead, experts project a transition toward energy-efficient laser projections, simulation-based experiential learning for higher education, and fully immersive, multi-wall interactive classrooms.<h3>Experts weigh in on the audiovisual (AV) market</h3>Experts are also seeing the development as a great opportunity for students, teachers and industry, enabling these products to meet both demand and supply. Even with more demand for these products, it also helped institutions and digital tutors to get into the market at affordable prices.&nbsp;&nbsp;1. The latest SNS Insider report projects strong growth in the global Educational Audiovisual Systems market over the next decade, driven by digital learning and classroom modernisation. From your perspective, what are the biggest factors accelerating this transformation in India, and how does the country's trajectory compare with global trends?&nbsp;Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: India is a reflection of a global educational market. Whatever happens globally, it comes to India. Previously, the projectors used in the classes were able to provide one-way information. In the last 5-6 years, projectors have been replaced by Audio Visual display which enable multiple activities and engage students. This is not only one-way communication but also two-way, increasing engagement between teacher and students equally. The market for these products has witnessed a growth of nearly 45-50 CAGR in the last 5 years and is still growing exponentially. These displays have become a core part of projectors, becoming main products among them, which can be seen not only in India but in the global market as well. These products are very convenient for teachers as it engages the students and enable them to communicate with each other easily and make them learn fast. Upon this, the government is also investing a lot in private and government institutions. &nbsp;Initially, the initiative began in Gujarat; later, it expanded to other states, including Andhra Pradesh, Telangana, Rajasthan, Bihar, Jharkhand and many more. This investment has been going on for the last 10 years across India.&nbsp;2. Artificial intelligence is increasingly finding its way into classrooms through AI-powered displays, collaboration platforms, and intelligent learning tools. How do you see AI redefining the role of visual technologies beyond conventional projection, and what impact could this have on teaching and student engagement?&nbsp;Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: AI-powered displays are helping teachers develop content quickly and make lessons more engaging through interactive tools, real-time education, and content sharing. These systems integrate not just with hardware but also with educational software platforms, allowing students to participate more actively in the classroom and significantly boosting their engagement and learning outcomes. Traditionally, projectors were the primary classroom tool, offering largely one-way communication. Today, that has evolved into an interactive, collaborative, and data-driven learning space, and AI has played a key role in this shift, particularly through AI-powered displays now entering the market. We're seeing a clear transition from simply displaying information to enabling genuine interaction. Modern interactive panels, combined with wireless collaboration tools and smart visual solutions, allow teachers and students to connect, collaborate, and learn more effectively, whether they're physically present in the classroom or joining remotely. This is where these displays are playing an increasingly important role in the industry.&nbsp;3. As Indian schools, colleges, and universities continue investing in digital infrastructure, what changes have you observed in their technology priorities? Are institutions now looking beyond hardware towards integrated, future-ready learning ecosystems?&nbsp;Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: Today, the higher education industry has evolved significantly. Earlier, institutions used to buy only standalone devices, but now they are also investing in collaboration tools. At Optoma, we offer solutions like the Optoma Management Suite (OMS) and Optoma Screen Share (OSS). With these tools, learning is no longer confined to a single classroom; it extends across multiple institutions and environments. For instance, a teacher in one classroom can deliver lessons to students learning remotely, a trend that gained momentum during COVID and has since evolved into hybrid learning. Brands like Optoma are now investing not just in hardware, but in solutions that help schools move from purely physical classrooms to hybrid ones. We recently executed a project with the Bangladesh government, installing around 2,000 interactive lab panels in government schools, alongside OMS. This allows institutions to enable hybrid learning while also helping authorities monitor whether teachers are actually using the hardware in classrooms.&nbsp;4. Despite increasing investments, many institutions continue to face challenges around budget constraints, scalability, training, and technology adoption. What do you believe are the biggest barriers to implementing smart classroom solutions in India, and how can the industry address them?&nbsp;Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: This trend wasn't visible before. Earlier, institutions invested in only a limited number of classrooms because information and hardware options were restricted; schools would pick a few select classrooms and simply buy the hardware. Today, the industry has built an ecosystem that makes these setups far more affordable, offering EMI and lease solutions so schools can equip more classrooms, not just with hardware, but with complete digital classroom setups. Installing a display or projector alone doesn't achieve digitisation; schools also need to invest in learning management software and OMS. When institutions see that this improves teachers' lives, boosts school performance, and comes at a lower cost, they're more willing to invest. This growth is largely driven by affordability. Five years ago, an active display cost around Rs 7-8 lakh; today, it costs roughly one-third or one-fourth of that. EMI and financing options have also made it easier for schools to invest, and competition plays a role too; when one school adopts these solutions, others take notice and follow suit. The government has also played a major role. Over the last three to four years, investment from the government side has increased significantly, with more government schools moving toward digital classrooms. Prime Minister Narendra Modi's push for digital classrooms and digital blackboards made it mandatory for every school to have at least one smart classroom, along with a skill development project requiring an interactive display or projector. Initially, schools viewed this as an added cost. Over time, however, they've recognised the returns: easier teaching, better student engagement, and improved learning outcomes, making the investment worthwhile.&nbsp;Varun Singh, Marketing Consultant at Optoma Technology (India) Pvt. Ltd: When digitisation first came to our schools, it was seen purely as a cost. But over time, schools have realised the value of implementing digitised classrooms, not just in terms of ease for teachers, but also in how much students are able to learn and engage with the process. Today, most private institutions in India, as well as many government ones, recognise this cost as an investment, even if some remain hesitant, depending on their infrastructure or the promoters behind them. Regardless, the results are visible — in the quality of teaching and learning outcomes on both ends.&nbsp;5. India's education sector is undergoing rapid digital transformation, supported by government initiatives and institutional investments. What business opportunities do you see emerging for the Pro AV industry over the next three to five years, and which segments are likely to witness the strongest growth?&nbsp;Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: This shift is clearly visible across universities and colleges, as every school wants its classrooms digitised. We're also seeing growing demand for experiential learning; simulators are now being developed in schools, particularly in medicine and engineering institutes. It's no longer just about interactive or large-format displays; institutions want simulators that let students experience real-life scenarios and learn more effectively before stepping into the field. The Government of India is investing heavily in this space, and combined with the ongoing push for skill development, these solutions will help students learn more effectively. It's important to recognise that India isn't an isolated market; this mirrors a broader global trend of increased investment in education infrastructure. Today, both government and private institutions are willing to spend more on upgrading their infrastructure. What started as a shift from traditional classrooms to interactive displays is now evolving toward simulation-based setups. This represents a real growth opportunity across the market, making it essential for schools to keep pace with their competitors. I don't see this momentum slowing down over the next 5-6 years; if anything, it will keep growing across the board, from hardware manufacturers to software developers, content designers, and system integrators.&nbsp;6. Sustainability is becoming an important consideration for educational institutions when making technology investments. How are factors such as energy efficiency, lifecycle costs, and ease of maintenance influencing purchasing decisions in the education sector?&nbsp;Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: This is very important because educational institutions buy in bulk. If we're talking about one or two classrooms, individual choices don't carry much weight, the same way our household energy decisions rarely make a significant impact unless we're dealing with high-consumption devices like refrigerators. Take projectors, for example. Ten years ago, they consumed 300-400 watts of power. Today's projectors deliver the same brightness at roughly one-third of that, around 100-120 watts. For schools with 10 or 25 classrooms running similar devices, that kind of efficiency gain adds up significantly. Environmental sustainability has also become a major focus. At Optima, we've invested heavily in this, 4-5 years ago, we redesigned our projectors to use plastic bodies made from 50% recyclable materials, while shrinking packaging size to a third of what it used to be. This means a single shipping container that once carried 1,000 projectors can now carry 2-3 thousand, reducing transportation-related power consumption per unit. We've also shifted from mercury lamp projectors to laser-based ones, extending projector lifecycles from around 3-4 thousand hours to 20,000 hours, meaning classrooms won't need replacements for 15-20 years. While laser projectors once cost significantly more due to lower demand, prices have now become far more affordable, improving both accessibility and sustainability. This shift isn't limited to projectors; displays have seen similar reductions in power consumption. Notably, Europe will prohibit imports of non-green lamp projectors starting in 2027, a regulation likely to influence global standards as more regions follow suit.&nbsp;7. Looking ahead, what are the key trends you expect will shape technology-enabled education in India over the next five years, and what should educators, policymakers, and technology providers prioritise to ensure digital transformation delivers meaningful learning outcomes?&nbsp;Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: One trend we've seen is the shift toward interactive displays in classrooms, and I believe this will continue. We started with basic hardware, a display or projector, but now we're talking about AI-integrated interactive displays. This trend will likely continue for the next 4-5 years, and it's a positive development for the education industry, benefiting teachers, students, and institutions alike. The business is evolving with collaboration software and devices, helping ensure that investments schools make actually get used effectively in classrooms. This isn't limited to interactive displays alone; displays paired with OMS-based software solutions will play an important role in education over the next 4-5 years. Institutions want assurance that their investments won't become outdated. One positive shift is that displays are now coming in 4K instead of HD, so content creators will need to upgrade accordingly. We'll likely see content move from HD to 4K over the next 2-3 years, since better content availability speeds up adoption and learning. From a hardware standpoint, we're ensuring products are future-proof so buyers don't need frequent upgrades. That said, there's a clear shift from lamp to laser projection, and now from laser to full-featured AI-collaborated interactive displays, a trend that will continue over the next 2-3 years.&nbsp;Varun Singh, Marketing Consultant at Optoma Technology (India) Pvt. Ltd: Looking at what's happening in the European market, and what will happen in the Indian market beyond the next five years, the next chain of evolution will move from single-panel interactivity to entire classroom interactivity. Right now, we're restricted to looking at a blackboard, roughly a 10x4 feet structure. What we're doing, and what's happening in European nations, is turning the entire space in front of the classroom into a complete interactive experience. When this goes beyond the space in front and extends to all the walls, it will transform entry-level classrooms, where a child can see and feel an entire lesson all around them. If you want to see the heart, you can see the heart from all directions. If you go deeper into this, lessons in history and biology will benefit from this kind of interactive environment, which will define the next wave of change.

The entry of AI-powered displays allows educators to generate content dynamically, automate lesson summaries, and track engagement in real time, increasing the efficiency of the learning of student learning.

India’s educational audiovisual (AV) market is making a dramatic shift from static projectors to intelligent, interactive learning ecosystems driven by AI integration and government digital mandates. Experiencing a 45–50 per cent CAGR over recent years, interactive flat panels and 4K displays are transforming classrooms into two-way collaborative hubs, making students and faculty members more engaging towards each other. The entry of AI-powered displays allows educators to generate content dynamically, automate lesson summaries, and track engagement in real time, increasing the efficiency of the learning of student learning. Moreover, cloud-based tools like the Optoma Management Suite enable seamless hybrid environments, connecting physically present and remote students across institutions. Crucially, digital setups have become far more accessible. Prices for active displays have dropped to nearly a quarter of their cost five years ago, aided by EMI models and government initiatives under PM Narendra Modi. Looking ahead, experts project a transition toward energy-efficient laser projections, simulation-based experiential learning for higher education, and fully immersive, multi-wall interactive classrooms. Experts weigh in on the audiovisual (AV) market Experts are also seeing the development as a great opportunity for students, teachers and industry, enabling these products to meet both demand and supply. Even with more demand for these products, it also helped institutions and digital tutors to get into the market at affordable prices. 1. The latest SNS Insider report projects strong growth in the global Educational Audiovisual Systems market over the next decade, driven by digital learning and classroom modernisation. From your perspective, what are the biggest factors accelerating this transformation in India, and how does the country's trajectory compare with global trends? Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: India is a reflection of a global educational market. Whatever happens globally, it comes to India. Previously, the projectors used in the classes were able to provide one-way information. In the last 5-6 years, projectors have been replaced by Audio Visual display which enable multiple activities and engage students. This is not only one-way communication but also two-way, increasing engagement between teacher and students equally. The market for these products has witnessed a growth of nearly 45-50 CAGR in the last 5 years and is still growing exponentially. These displays have become a core part of projectors, becoming main products among them, which can be seen not only in India but in the global market as well. These products are very convenient for teachers as it engages the students and enable them to communicate with each other easily and make them learn fast. Upon this, the government is also investing a lot in private and government institutions. Initially, the initiative began in Gujarat; later, it expanded to other states, including Andhra Pradesh, Telangana, Rajasthan, Bihar, Jharkhand and many more. This investment has been going on for the last 10 years across India. 2. Artificial intelligence is increasingly finding its way into classrooms through AI-powered displays, collaboration platforms, and intelligent learning tools. How do you see AI redefining the role of visual technologies beyond conventional projection, and what impact could this have on teaching and student engagement? Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: AI-powered displays are helping teachers develop content quickly and make lessons more engaging through interactive tools, real-time education, and content sharing. These systems integrate not just with hardware but also with educational software platforms, allowing students to participate more actively in the classroom and significantly boosting their engagement and learning outcomes. Traditionally, projectors were the primary classroom tool, offering largely one-way communication. Today, that has evolved into an interactive, collaborative, and data-driven learning space, and AI has played a key role in this shift, particularly through AI-powered displays now entering the market. We're seeing a clear transition from simply displaying information to enabling genuine interaction. Modern interactive panels, combined with wireless collaboration tools and smart visual solutions, allow teachers and students to connect, collaborate, and learn more effectively, whether they're physically present in the classroom or joining remotely. This is where these displays are playing an increasingly important role in the industry. 3. As Indian schools, colleges, and universities continue investing in digital infrastructure, what changes have you observed in their technology priorities? Are institutions now looking beyond hardware towards integrated, future-ready learning ecosystems? Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: Today, the higher education industry has evolved significantly. Earlier, institutions used to buy only standalone devices, but now they are also investing in collaboration tools. At Optoma, we offer solutions like the Optoma Management Suite (OMS) and Optoma Screen Share (OSS). With these tools, learning is no longer confined to a single classroom; it extends across multiple institutions and environments. For instance, a teacher in one classroom can deliver lessons to students learning remotely, a trend that gained momentum during COVID and has since evolved into hybrid learning. Brands like Optoma are now investing not just in hardware, but in solutions that help schools move from purely physical classrooms to hybrid ones. We recently executed a project with the Bangladesh government, installing around 2,000 interactive lab panels in government schools, alongside OMS. This allows institutions to enable hybrid learning while also helping authorities monitor whether teachers are actually using the hardware in classrooms. 4. Despite increasing investments, many institutions continue to face challenges around budget constraints, scalability, training, and technology adoption. What do you believe are the biggest barriers to implementing smart classroom solutions in India, and how can the industry address them? Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: This trend wasn't visible before. Earlier, institutions invested in only a limited number of classrooms because information and hardware options were restricted; schools would pick a few select classrooms and simply buy the hardware. Today, the industry has built an ecosystem that makes these setups far more affordable, offering EMI and lease solutions so schools can equip more classrooms, not just with hardware, but with complete digital classroom setups. Installing a display or projector alone doesn't achieve digitisation; schools also need to invest in learning management software and OMS. When institutions see that this improves teachers' lives, boosts school performance, and comes at a lower cost, they're more willing to invest. This growth is largely driven by affordability. Five years ago, an active display cost around Rs 7-8 lakh; today, it costs roughly one-third or one-fourth of that. EMI and financing options have also made it easier for schools to invest, and competition plays a role too; when one school adopts these solutions, others take notice and follow suit. The government has also played a major role. Over the last three to four years, investment from the government side has increased significantly, with more government schools moving toward digital classrooms. Prime Minister Narendra Modi's push for digital classrooms and digital blackboards made it mandatory for every school to have at least one smart classroom, along with a skill development project requiring an interactive display or projector. Initially, schools viewed this as an added cost. Over time, however, they've recognised the returns: easier teaching, better student engagement, and improved learning outcomes, making the investment worthwhile. Varun Singh, Marketing Consultant at Optoma Technology (India) Pvt. Ltd: When digitisation first came to our schools, it was seen purely as a cost. But over time, schools have realised the value of implementing digitised classrooms, not just in terms of ease for teachers, but also in how much students are able to learn and engage with the process. Today, most private institutions in India, as well as many government ones, recognise this cost as an investment, even if some remain hesitant, depending on their infrastructure or the promoters behind them. Regardless, the results are visible — in the quality of teaching and learning outcomes on both ends. 5. India's education sector is undergoing rapid digital transformation, supported by government initiatives and institutional investments. What business opportunities do you see emerging for the Pro AV industry over the next three to five years, and which segments are likely to witness the strongest growth? Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: This shift is clearly visible across universities and colleges, as every school wants its classrooms digitised. We're also seeing growing demand for experiential learning; simulators are now being developed in schools, particularly in medicine and engineering institutes. It's no longer just about interactive or large-format displays; institutions want simulators that let students experience real-life scenarios and learn more effectively before stepping into the field. The Government of India is investing heavily in this space, and combined with the ongoing push for skill development, these solutions will help students learn more effectively. It's important to recognise that India isn't an isolated market; this mirrors a broader global trend of increased investment in education infrastructure. Today, both government and private institutions are willing to spend more on upgrading their infrastructure. What started as a shift from traditional classrooms to interactive displays is now evolving toward simulation-based setups. This represents a real growth opportunity across the market, making it essential for schools to keep pace with their competitors. I don't see this momentum slowing down over the next 5-6 years; if anything, it will keep growing across the board, from hardware manufacturers to software developers, content designers, and system integrators. 6. Sustainability is becoming an important consideration for educational institutions when making technology investments. How are factors such as energy efficiency, lifecycle costs, and ease of maintenance influencing purchasing decisions in the education sector? Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: This is very important because educational institutions buy in bulk. If we're talking about one or two classrooms, individual choices don't carry much weight, the same way our household energy decisions rarely make a significant impact unless we're dealing with high-consumption devices like refrigerators. Take projectors, for example. Ten years ago, they consumed 300-400 watts of power. Today's projectors deliver the same brightness at roughly one-third of that, around 100-120 watts. For schools with 10 or 25 classrooms running similar devices, that kind of efficiency gain adds up significantly. Environmental sustainability has also become a major focus. At Optima, we've invested heavily in this, 4-5 years ago, we redesigned our projectors to use plastic bodies made from 50% recyclable materials, while shrinking packaging size to a third of what it used to be. This means a single shipping container that once carried 1,000 projectors can now carry 2-3 thousand, reducing transportation-related power consumption per unit. We've also shifted from mercury lamp projectors to laser-based ones, extending projector lifecycles from around 3-4 thousand hours to 20,000 hours, meaning classrooms won't need replacements for 15-20 years. While laser projectors once cost significantly more due to lower demand, prices have now become far more affordable, improving both accessibility and sustainability. This shift isn't limited to projectors; displays have seen similar reductions in power consumption. Notably, Europe will prohibit imports of non-green lamp projectors starting in 2027, a regulation likely to influence global standards as more regions follow suit. 7. Looking ahead, what are the key trends you expect will shape technology-enabled education in India over the next five years, and what should educators, policymakers, and technology providers prioritise to ensure digital transformation delivers meaningful learning outcomes? Vijay Sharma, Managing Director, Optoma Technology (India) Pvt. Ltd: One trend we've seen is the shift toward interactive displays in classrooms, and I believe this will continue. We started with basic hardware, a display or projector, but now we're talking about AI-integrated interactive displays. This trend will likely continue for the next 4-5 years, and it's a positive development for the education industry, benefiting teachers, students, and institutions alike. The business is evolving with collaboration software and devices, helping ensure that investments schools make actually get used effectively in classrooms. This isn't limited to interactive displays alone; displays paired with OMS-based software solutions will play an important role in education over the next 4-5 years. Institutions want assurance that their investments won't become outdated. One positive shift is that displays are now coming in 4K instead of HD, so content creators will need to upgrade accordingly. We'll likely see content move from HD to 4K over the next 2-3 years, since better content availability speeds up adoption and learning. From a hardware standpoint, we're ensuring products are future-proof so buyers don't need frequent upgrades. That said, there's a clear shift from lamp to laser projection, and now from laser to full-featured AI-collaborated interactive displays, a trend that will continue over the next 2-3 years. Varun Singh, Marketing Consultant at Optoma Technology (India) Pvt. Ltd: Looking at what's happening in the European market, and what will happen in the Indian market beyond the next five years, the next chain of evolution will move from single-panel interactivity to entire classroom interactivity. Right now, we're restricted to looking at a blackboard, roughly a 10x4 feet structure. What we're doing, and what's happening in European nations, is turning the entire space in front of the classroom into a complete interactive experience. When this goes beyond the space in front and extends to all the walls, it will transform entry-level classrooms, where a child can see and feel an entire lesson all around them. If you want to see the heart, you can see the heart from all directions. If you go deeper into this, lessons in history and biology will benefit from this kind of interactive environment, which will define the next wave of change.

The entry of AI-powered displays allows educators to generate content dynamically, automate lesson summaries, and track engagement in real time, increasing the efficiency of the learning of student learning.

How India's education audiovisual (AV) market is entering new growth phase as AI reshapes classrooms?

Google has begun rolling out Gemini Spark in India, introducing an AI agent designed to work continuously in the background instead of waiting for users to type prompts. The rollout started on July 29 and is gradually reaching Google AI Pro and Google AI Ultra subscribers across the country. The launch is significant because it moves Gemini beyond a chatbot into an AI assistant that can complete tasks over time even after users close their laptops. It also puts Google in direct competition with AI coding and productivity agents from rivals such as Anthropic and OpenAI.

<blockquote class="twitter-tweet">Gemini Spark is rolling out to Google AI Pro users outside the U.S. Spark is your personal AI agent that works in the background 24/7 to get things done under your direction, handling the heavy lifting so you can focus on what matters. <a href="https://t.co/qq1RQK221m">https://t.co/qq1RQK221m</a>&mdash; Google Gemini (@GeminiApp) <a href="https://x.com/GeminiApp/status/2083302569796059271?ref_src=twsrc%5Etfw">July 31, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>What is Gemini Spark?</h2>Google describes Spark as a 24/7 personal AI agent that works under a user's instructions. Instead of answering a single question, Spark can take on longer tasks, continue working in the background and notify users when the job is complete. The idea is to reduce repetitive work while allowing people to focus on more important tasks. According to Google, Spark is built to handle the "heavy lifting", making Gemini less like a chatbot and more like a digital assistant that works independently.<h2>More than an AI chatbot</h2>Gemini Spark represents Google's broader push into agentic AI systems capable of planning, executing and managing tasks with minimal human intervention. Unlike traditional assistants that require constant prompts, Spark can keep working after a task has been assigned. That makes it useful for research, document preparation, coding workflows, information gathering and other time-consuming activities. The launch also reflects an industry-wide shift from conversational AI to autonomous AI agents that can complete real-world work.<h2>Who can use it?</h2>Gemini Spark is currently rolling out in phases to Google AI Pro and Google AI Ultra subscribers outside the US, including users in India. Google says availability will expand gradually over the coming weeks, meaning some eligible users may receive access before others. With Spark, Google is signalling its ambition to make Gemini a full-time AI assistant rather than just another chatbot. As competition intensifies between Google, OpenAI and Anthropic, always-on AI agents could become the next major battleground in generative AI.

Google has started rolling out Gemini Spark in India for AI Pro and AI Ultra subscribers. The new always-on AI agent can continue working in the background on long-running tasks, marking Google's latest push into autonomous AI assistants.

Google has begun rolling out Gemini Spark in India, introducing an AI agent designed to work continuously in the background instead of waiting for users to type prompts. The rollout started on July 29 and is gradually reaching Google AI Pro and Google AI Ultra subscribers across the country. The launch is significant because it moves Gemini beyond a chatbot into an AI assistant that can complete tasks over time even after users close their laptops. It also puts Google in direct competition with AI coding and productivity agents from rivals such as Anthropic and OpenAI.

Google has started rolling out Gemini Spark in India for AI Pro and AI Ultra subscribers. The new always-on AI agent can continue working in the background on long-running tasks, marking Google's latest push into autonomous AI assistants.

Claude Code killer? Gemini Spark is now available in India, and AI can now work without your laptop

Google has officially offered the first look at its upcoming Pixel 11 Pro, confirming the design of its next flagship smartphone weeks before launch. While the familiar horizontal camera bar remains, the biggest surprise is a new RGB lighting feature, dubbed 'Pixel Glow', positioned beside the camera module. The teaser also highlights Google's growing AI ecosystem, showing how the Pixel 11 Pro is designed to work closely with services such as Gmail, Google Maps, Search and Docs.

<h2>Pixel Glow is the biggest visual change</h2>Although the overall design stays true to previous Pixel phones, the addition of an RGB light gives the Pixel 11 Pro a fresh identity. Google has not yet explained exactly how Pixel Glow will work, but the teaser suggests it could be used for notifications, AI interactions or camera-related features. The company continues to keep the iconic camera bar, reinforcing the Pixel's recognisable design language while introducing subtle refinements.<h2>Tensor G6, better cameras and more storage expected&nbsp;</h2> Leaks suggest the Pixel 11 series will be powered by Google's new Tensor G6 processor, reportedly the company's first 2nm chip manufactured by TSMC. The Pixel 11 lineup is also expected to drop the 128GB storage option, making 256GB the standard across all models. Other rumoured upgrades include a MediaTek M90 modem, Titan M3 security chip and a new PowerVR GPU. Camera improvements are also expected, with the standard Pixel 11 tipped to feature a new 50MP main sensor, while the Pro models could receive upgraded primary and telephoto cameras.<h2>Price increase confirmed</h2>Google has already confirmed that the Pixel 11 series will cost more. Speaking to 9to5Google, Google's Vice President of Devices and Services, Shakil Barkat, said a global memory shortage and rising component costs have forced the company to adjust pricing. He said Google had absorbed higher costs for as long as possible but acknowledged that market conditions had changed. While exact prices remain under wraps, Google says customers can still expect trade-in offers, promotional discounts and bundled Google One subscriptions to make the devices more affordable. The Pixel 11 series is also expected to arrive in several new colours, with brighter finishes for the standard model and more understated options for the Pro variants.

Google has revealed the Pixel 11 Pro's design ahead of launch, introducing a new RGB feature called Pixel Glow. The flagship is expected to feature the Tensor G6 chip, upgraded cameras, 256GB base storage and a confirmed price increase due to rising component costs.


Google has officially offered the first look at its upcoming Pixel 11 Pro, confirming the design of its next flagship smartphone weeks before launch. While the familiar horizontal camera bar remains, the biggest surprise is a new RGB lighting feature, dubbed 'Pixel Glow', positioned beside the camera module. The teaser also highlights Google's growing AI ecosystem, showing how the Pixel 11 Pro is designed to work closely with services such as Gmail, Google Maps, Search and Docs.

Google has revealed the Pixel 11 Pro's design ahead of launch, introducing a new RGB feature called Pixel Glow. The flagship is expected to feature the Tensor G6 chip, upgraded cameras, 256GB base storage and a confirmed price increase due to rising component costs.

Google reveals Pixel 11 Pro design ahead of launch as new ‘Pixel Glow’ feature steals the show

&nbsp;Chinese military researchers have reportedly used outputs from leading artificial intelligence models developed by OpenAI and Anthropic to train domestic AI systems, according to a Reuters review of more than 80 Chinese academic papers and patents. The documents suggest researchers relied on a technique known as model distillation to build smaller AI models for defence and security applications.The findings come as AI competition between the United States and China intensifies, with both countries increasingly treating advanced AI as a strategic technology.<h2>What is model distillation?</h2>Model distillation is a widely used AI technique in which a smaller model learns from the outputs of a much larger one. Rather than recreating frontier AI from scratch, developers use responses generated by advanced models to build systems that require far less computing power.According to the Reuters review, researchers linked to the People's Liberation Army (PLA) and other military institutions used this approach to develop AI systems that could run within secure domestic networks. Experts note that distillation itself is a common industry practice. The dispute centres on whether American AI models were used without authorisation to transfer proprietary capabilities.<h2>How were the models reportedly used?</h2>The papers reviewed by Reuters describe AI applications ranging from software analysis and content monitoring to drone navigation and target recognition. One study by researchers from PLA Unit 96941 reportedly used OpenAI's GPT-3.5 to summarise sensitive military software code before training a domestic model capable of operating entirely inside Chinese military systems. Other papers described using Anthropic's Claude 3 Haiku to generate synthetic training data for content moderation, while separate research explored deploying distilled AI models on drones, ships and unmanned submarines.The report comes ahead of expected US-China discussions on AI governance and follows growing concerns in Washington over the transfer of advanced AI capabilities. Anthropic said it does not provide commercial access to Claude in China or to Beijing-controlled entities and monitors for policy violations. Reuters reported that OpenAI, the Pentagon, China's foreign ministry and the PLA did not respond to requests for comment.Researchers also caution that distilled models have clear limitations. They can inherit selected capabilities from larger models but cannot fully match the broad intelligence or reasoning abilities of frontier AI systems built with massive computing resources. The findings highlight how AI has become a key area of strategic competition, with nations racing not only to build powerful models but also to adapt them for defence, cybersecurity and national security applications.

Chinese military-linked researchers have reportedly used outputs from OpenAI and Anthropic models to train domestic AI systems for defence applications, according to a Reuters review of academic papers. 


Chinese military researchers have reportedly used outputs from leading artificial intelligence models developed by OpenAI and Anthropic to train domestic AI systems, according to a Reuters review of more than 80 Chinese academic papers and patents. The documents suggest researchers relied on a technique known as model distillation to build smaller AI models for defence and security applications. The findings come as AI competition between the United States and China intensifies, with both countries increasingly treating advanced AI as a strategic technology. What is model distillation? Model distillation is a widely used AI technique in which a smaller model learns from the outputs of a much larger one. Rather than recreating frontier AI from scratch, developers use responses generated by advanced models to build systems that require far less computing power. According to the Reuters review, researchers linked to the People's Liberation Army (PLA) and other military institutions used this approach to develop AI systems that could run within secure domestic networks. Experts note that distillation itself is a common industry practice. The dispute centres on whether American AI models were used without authorisation to transfer proprietary capabilities. How were the models reportedly used? The papers reviewed by Reuters describe AI applications ranging from software analysis and content monitoring to drone navigation and target recognition. One study by researchers from PLA Unit 96941 reportedly used OpenAI's GPT-3.5 to summarise sensitive military software code before training a domestic model capable of operating entirely inside Chinese military systems. Other papers described using Anthropic's Claude 3 Haiku to generate synthetic training data for content moderation, while separate research explored deploying distilled AI models on drones, ships and unmanned submarines. The report comes ahead of expected US-China discussions on AI governance and follows growing concerns in Washington over the transfer of advanced AI capabilities. Anthropic said it does not provide commercial access to Claude in China or to Beijing-controlled entities and monitors for policy violations. Reuters reported that OpenAI, the Pentagon, China's foreign ministry and the PLA did not respond to requests for comment. Researchers also caution that distilled models have clear limitations. They can inherit selected capabilities from larger models but cannot fully match the broad intelligence or reasoning abilities of frontier AI systems built with massive computing resources. The findings highlight how AI has become a key area of strategic competition, with nations racing not only to build powerful models but also to adapt them for defence, cybersecurity and national security applications.

Chinese military-linked researchers reportedly used outputs from OpenAI and Anthropic models to train domestic AI systems through model distillation, according to a Reuters review. The findings underscore growing US-China tensions over AI, defence technology and intellectual property.

China used OpenAI and Anthropic outputs to train military AI systems: Report

A California robotics company has unveiled a rescue robot that looks as if it stepped out of a post-apocalyptic nightmare. With four powerful legs, curved horn-like structures and chainsaw attachments, ThreeHalves has become an internet sensation for one reason above all: it is unsettling to look at.Developed by startup Satyress, the robot was designed for dangerous environments where human rescuers cannot safely operate, including wildfire zones, collapsed structures and toxic industrial sites. But its appearance has overshadowed its engineering. Unlike the sleek, friendly-looking robots often promoted by technology companies, ThreeHalves embraces a deliberately intimidating aesthetic.The machine stands more than six feet tall and has a silhouette that many online users have compared to a demonic creature or a mechanical beast. Its horned frame and aggressive stance have fueled a wave of social media reactions, with many questioning why a rescue robot needs to look so terrifying.Satyress has not tried to soften that reaction. In fact, the company describes the robot as “more dangerous than it looks,” while simultaneously publishing detailed information about how it can be physically disabled if it malfunctions. The unusual combination of fearsome design and transparency about its weaknesses has become central to the robot’s identity.The company says ThreeHalves includes emergency braking systems, mechanical locks and other built-in safeguards that allow humans to stop it if necessary. That message appears intended to counter fears that advanced machines could become uncontrollable.

<blockquote class="twitter-tweet">Meet Threehalves <a href="https://t.co/bFkcEyaPk7">pic.twitter.com/bFkcEyaPk7</a>&mdash; satyress (@satyressrobots) <a href="https://x.com/satyressrobots/status/1917207032324825126?ref_src=twsrc%5Etfw">April 29, 2025</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>Social media compares it with Satan</h2>“Why did you make it look like Satan?” a social media user questioned. Another asked, “I really see the utility of this form, but have you considered making it look less scary?” A third said, “Looks demonic with the head of a goat!” One user asked, “Why the horns, though? Why the devil goat face?”

<blockquote class="twitter-tweet" data-conversation="none">Nah I&#39;m good. <a href="https://t.co/TOGQCIqy71">pic.twitter.com/TOGQCIqy71</a>&mdash; Matt (@Matt321492814) <a href="https://x.com/Matt321492814/status/2082702977727439237?ref_src=twsrc%5Etfw">July 30, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

One person said, “This is AWESOME.” Another wrote, “I love the thought behind this; it looks like it would do a lot of good work for rescuing, but do you think it would be better to make it look friendlier? Maybe paint it a different colour and give it softer features? Somebody getting rescued might be terrified.”Another user wrote, “Even if this saves someone’s life, it would be the second most traumatic experience a victim would have that day if a robot like this were deemed necessary. Those eyes are horrifying. Your company name rhyming with ‘satire’ is not helping your case.”

California startup Satyress unveiled ThreeHalves, a horned four-legged rescue robot with a terrifying appearance. The company also revealed built-in safety systems and ways to physically stop it.

A California robotics company has unveiled a rescue robot that looks as if it stepped out of a post-apocalyptic nightmare. With four powerful legs, curved horn-like structures and chainsaw attachments, ThreeHalves has become an internet sensation for one reason above all: it is unsettling to look at. Developed by startup Satyress, the robot was designed for dangerous environments where human rescuers cannot safely operate, including wildfire zones, collapsed structures and toxic industrial sites. But its appearance has overshadowed its engineering. Unlike the sleek, friendly-looking robots often promoted by technology companies, ThreeHalves embraces a deliberately intimidating aesthetic. The machine stands more than six feet tall and has a silhouette that many online users have compared to a demonic creature or a mechanical beast. Its horned frame and aggressive stance have fueled a wave of social media reactions, with many questioning why a rescue robot needs to look so terrifying. Satyress has not tried to soften that reaction. In fact, the company describes the robot as “more dangerous than it looks,” while simultaneously publishing detailed information about how it can be physically disabled if it malfunctions. The unusual combination of fearsome design and transparency about its weaknesses has become central to the robot’s identity. The company says ThreeHalves includes emergency braking systems, mechanical locks and other built-in safeguards that allow humans to stop it if necessary. That message appears intended to counter fears that advanced machines could become uncontrollable.

California startup Satyress unveiled ThreeHalves, a horned four-legged rescue robot with a terrifying appearance. The company also revealed built-in safety systems and ways to physically stop it.

‘Satanic’ chainsaw-wielding rescue bot leaves internet divided: ‘Those eyes are horrifying’

Google has rolled back a newly launched artificial intelligence feature in Google Earth after researchers and open-source intelligence (OSINT) experts warned it could be exploited to generate realistic fake satellite imagery and spread disinformation.On Friday (Jul 31), Google Earth and Google AI introduced on X the tool, using which they said users can "combine rich satellite and 3D imagery with text prompts to reimagine your favourite place around the globe."

<blockquote class="twitter-tweet">Today we’re bringing AI image generation with Nano Banana to Google Earth, letting you virtually reimagine anywhere in the real world. 🍌 <a href="https://t.co/zsgvAnbYrl">https://t.co/zsgvAnbYrl</a> For the first time, you can generate custom images using Google Earth’s satellite, aerial, and 3D imagery. 🌎 <a href="https://t.co/yed45vLZOo">pic.twitter.com/yed45vLZOo</a>&mdash; Google Earth (@googleearth) <a href="https://x.com/googleearth/status/2082818165503902043?ref_src=twsrc%5Etfw">July 30, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<blockquote class="twitter-tweet">What if you could see a city as it looked 100 years ago, or visualize a new basketball court at your local community center? Starting today, we&#39;re bringing our latest image generation capabilities to <a href="https://x.com/googleearth?ref_src=twsrc%5Etfw">@GoogleEarth</a> on the web. Powered by Nano Banana 2, you can combine rich… <a href="https://t.co/xbOnmr8Dr5">pic.twitter.com/xbOnmr8Dr5</a>&mdash; Google AI (@GoogleAI) <a href="https://x.com/GoogleAI/status/2082902334984609936?ref_src=twsrc%5Etfw">July 30, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

The company confirmed that it was disabling the "create image" tool, which had been introduced just a day earlier. Here's what happened.Also read | <a href="https://www.wionews.com/india-news/anthropic-reveals-india-is-claude-ai-s-no-2-market-but-what-are-indians-actually-using-the-ai-for-wion-decodes-1785394109668">Anthropic reveals India is Claude AI's No. 2 market. But what are Indians actually using the AI for? | WION Decodes</a><h2>What did the Google AI 'create image' feature do?</h2>The feature allowed users to generate AI-created visualisations using Google's Nano Banana 2 image generation model layered over Google Earth's satellite, aerial and 3D mapping data. However, within hours of the company's announcement, the tool was rolled back because alarming AI-generated images started flooding the social media space."We've seen geospatial professionals using this feature for a range of useful purposes; however, we've also seen people sharing screenshots of generated imagery that appear to violate our policies," a Google spokesperson said, as quoted by AFP."So we're rolling back this feature in Google Earth while we work on implementing stronger guardrails."Google added that users "uniquely trust Google Earth for a reliable view of the world," making it essential to protect that trust.Also read | <a href="https://www.wionews.com/technology/after-openai-s-scary-agent-anthropic-s-claude-goes-rogue-ai-gains-unauthorised-real-world-access-during-testing-1785475339558">After OpenAI's 'scary' agent, Anthropic's Claude goes rogue; AI gains unauthorised 'real-world' access during testing</a><h2>AI-generated disasters and military targets</h2>According to AFP's testing, the tool was able to generate fabricated satellite images depicting an explosion in Paris, a nuclear facility in Iran, a bomb crater in Russia and an Islamic State training camp in Syria.It also created fake scenes showing floods in Bangladesh, a migrant caravan camp at the US-Mexico border and a suspicious warehouse in the US state of Georgia.

<blockquote class="twitter-tweet" data-media-max-width="560">Tonight I typed just one sentence into Google Earth and put refugees near the Mexican border. Then I planted a nuclear plant in Iran. What on earth is Google doing? Check my latest post here: <a href="https://t.co/N0h6CVECqS">https://t.co/N0h6CVECqS</a> <a href="https://t.co/WSjdcEXWJx">pic.twitter.com/WSjdcEXWJx</a>&mdash; 𝚑𝚎𝚗𝚔 𝚟𝚊𝚗 𝚎𝚜𝚜 (@henkvaness) <a href="https://x.com/henkvaness/status/2082912544394498228?ref_src=twsrc%5Etfw">July 30, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<blockquote class="twitter-tweet" data-media-max-width="560">Just one day after launching AI image generation in Google Earth, Google has pulled the feature. The company says some people shared AI-generated images that appeared to break its policies. Google clarified that these images were never visible to other Google Earth users and… <a href="https://t.co/BnPbQloXZn">pic.twitter.com/BnPbQloXZn</a>&mdash; Pirat_Nation 🔴 (@Pirat_Nation) <a href="https://x.com/Pirat_Nation/status/2083318008458469422?ref_src=twsrc%5Etfw">July 31, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<blockquote class="twitter-tweet" data-media-max-width="560">Google has announced that it is suspending the rollout of its AI image generation feature in Google Earth after major backlash from experts on potential abuse. <a href="https://t.co/hKwedadgeG">pic.twitter.com/hKwedadgeG</a>&mdash; OSINTtechnical (@Osinttechnical) <a href="https://x.com/Osinttechnical/status/2083267295158153233?ref_src=twsrc%5Etfw">July 31, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<blockquote class="twitter-tweet" data-media-max-width="560">I just generated one myself. This is unbelievably reckless and will lead to much more harm than good. Google should remove this feature immediately. <a href="https://t.co/wJ8N1CxrRt">https://t.co/wJ8N1CxrRt</a> <a href="https://t.co/R2qbS8hpUJ">pic.twitter.com/R2qbS8hpUJ</a>&mdash; Rocket Man🚀🇺🇸🇺🇦 (@Grimm_Intel) <a href="https://x.com/Grimm_Intel/status/2082987747032072240?ref_src=twsrc%5Etfw">July 31, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

On X, WION found AI-generated images showing a plane crashing into a towering building, reminiscent of the 9/11 Twin Towers tragedy. Another showed a massive sinkhole right in the middle of Iceland. Others show a decimated aircraft carrier, and one even showed Godzilla destroying a town.Researchers told AFP that these examples demonstrated how the feature could be misused during conflicts, elections or natural disasters to spread false narratives that appear authentic.<h2>Google's safeguards weren't enough</h2>Before removing the feature, Google said images generated using the tool carried SynthID digital watermarks and pointed to its AI policy prohibiting misinformation and deceptive content. However, critics argued that invisible watermarks alone were insufficient to prevent abuse.The Centre for Information Resilience described the feature as "irresponsible," warning that public confidence in satellite imagery "has taken decades to build and could be irrevocably damaged overnight."Volunteer-run verification group GeoConfirmed also urged Google to withdraw the tool, saying it had already observed users experimenting with fake military positions and misleading edits to real-world locations.<h2>Experts sound the alarm</h2>Google had promoted the feature as a way to help users visualise historical events, create real estate plans and generate location-based imagery within seconds. However, digital investigators and satellite imagery analysts warned that the tool blurred the line between authentic satellite images and AI-generated content, potentially making it easier to spread convincing falsehoods.Digital investigations expert Henk Van Ess criticised the rollout, writing: "Google spent 20 years building the reference the world checks against. Today it added a button that makes things up."Brady Africk, a satellite imagery analyst at the American Enterprise Institute, said the feature could make it significantly easier to create fabricated satellite images capable of misleading the public. He warned that such content could erode trust in satellite imagery and make verification work far more difficult for journalists, researchers and investigators.<h2>Feature removed after backlash</h2>Following widespread criticism from researchers, journalists and OSINT communities, Google removed the "create image" button from Google Earth while it works on stronger safeguards.The episode highlights the growing challenge facing technology companies as powerful AI image generators become integrated into platforms that millions of people rely on as trusted sources of real-world information.

Google has rolled back a newly launched AI-powered Google Earth feature after researchers and OSINT experts warned it could be used to generate convincing fake satellite imagery. The company said it was removing the "create image" tool while it develops stronger safeguards.

Google has rolled back a newly launched artificial intelligence feature in Google Earth after researchers and open-source intelligence (OSINT) experts warned it could be exploited to generate realistic fake satellite imagery and spread disinformation. On Friday (Jul 31), Google Earth and Google AI introduced on X the tool, using which they said users can "combine rich satellite and 3D imagery with text prompts to reimagine your favourite place around the globe."

Google has rolled back a newly launched AI-powered Google Earth feature after researchers and OSINT experts warned it could be used to generate convincing fake satellite imagery. The company said it was removing the "create image" tool while it develops stronger safeguards.

Google Earth accidentally creates AI's next misinformation nightmare. 'Create image' feature rolled back over terrifying ques: What's real anymore?

Tesla is reportedly considering separating its entire China business as part of preparations for a possible merger with SpaceX, according to a report by The Wall Street Journal. The proposed separation could take the form of a spinoff, sale or even a closure, although no final decision has been made. The reported move is attracting attention because China has become one of Tesla's biggest markets and manufacturing hubs. A split would mark one of the most significant corporate restructurings in the company's history and could have far-reaching implications for its global operations.<h2>Why is Tesla considering a China split?</h2>According to the report, some Tesla executives have already been instructed to prepare plans for separating the company's China operations. The reported strategy is linked to a possible future merger with SpaceX. Since SpaceX is a major US defence contractor, it operates under strict national security and foreign ownership rules. Separating Tesla's China business could make any merger easier by reducing potential regulatory and security concerns. The report also says Elon Musk had previously asked executives to prepare contingency plans in case geopolitical tensions around Taiwan disrupted Tesla's operations in China.<h2>China is central to Tesla's business</h2>Any separation would be a major strategic decision. China is not only one of Tesla's largest vehicle markets but also home to its Shanghai Gigafactory, one of the company's most productive manufacturing facilities. The factory supplies vehicles to customers across China and exports to several international markets, including parts of Europe and Asia.A sale or spinoff could reshape Tesla's global supply chain and manufacturing strategy while affecting its position in the world's largest electric vehicle market.<h2>No official confirmation yet</h2>Neither Tesla nor SpaceX has publicly confirmed the reported plans. The Wall Street Journal noted that discussions remain at an early stage, and the structure of any separation or even whether it proceeds at all could still change. If a merger between Tesla and SpaceX eventually moves forward, it would bring together two of Elon Musk's biggest companies. However, regulatory scrutiny, geopolitical tensions and Tesla's deep ties to China are likely to remain key factors before any deal could materialise.

Tesla is reportedly exploring options to separate its China business including a spinoff or sale as Elon Musk considers a possible merger with SpaceX. The move could ease US national security concerns but would significantly reshape Tesla's global manufacturing and business operations.

Tesla is reportedly considering separating its entire China business as part of preparations for a possible merger with SpaceX, according to a report by The Wall Street Journal. The proposed separation could take the form of a spinoff, sale or even a closure, although no final decision has been made. The reported move is attracting attention because China has become one of Tesla's biggest markets and manufacturing hubs. A split would mark one of the most significant corporate restructurings in the company's history and could have far-reaching implications for its global operations. Why is Tesla considering a China split? According to the report, some Tesla executives have already been instructed to prepare plans for separating the company's China operations. The reported strategy is linked to a possible future merger with SpaceX. Since SpaceX is a major US defence contractor, it operates under strict national security and foreign ownership rules. Separating Tesla's China business could make any merger easier by reducing potential regulatory and security concerns. The report also says Elon Musk had previously asked executives to prepare contingency plans in case geopolitical tensions around Taiwan disrupted Tesla's operations in China. China is central to Tesla's business Any separation would be a major strategic decision. China is not only one of Tesla's largest vehicle markets but also home to its Shanghai Gigafactory, one of the company's most productive manufacturing facilities. The factory supplies vehicles to customers across China and exports to several international markets, including parts of Europe and Asia.A sale or spinoff could reshape Tesla's global supply chain and manufacturing strategy while affecting its position in the world's largest electric vehicle market. No official confirmation yet Neither Tesla nor SpaceX has publicly confirmed the reported plans. The Wall Street Journal noted that discussions remain at an early stage, and the structure of any separation or even whether it proceeds at all could still change. If a merger between Tesla and SpaceX eventually moves forward, it would bring together two of Elon Musk's biggest companies. However, regulatory scrutiny, geopolitical tensions and Tesla's deep ties to China are likely to remain key factors before any deal could materialise.

Tesla is reportedly exploring options to separate its China business including a spinoff or sale as Elon Musk considers a possible merger with SpaceX. The move could ease US national security concerns but would significantly reshape Tesla's global manufacturing and business operations.

Tesla may sell its China business as Elon Musk explores SpaceX merger: Report

Apple's long-awaited AI-powered Siri could arrive with a subscription twist. During what was his final earnings call as Apple's CEO, Tim Cook suggested that users who rely heavily on the upgraded Siri may eventually have to pay for additional AI computing through the company's iCloud+ plans. The comments offer one of the clearest indications yet of how Apple plans to monetise its biggest AI upgrade, as the company prepares to launch the new Siri more broadly later this year with iOS 27.<h2>Apple could follow the ChatGPT subscription model</h2>Cook said Apple expects many users to rely heavily on Siri AI and is exploring upgrade options through iCloud+. "We do believe there will be people that want to use it a lot," Cook said, adding that users may be able to purchase additional AI capacity as part of higher iCloud+ subscription tiers. However, he stressed that the plans are still being evaluated. The approach mirrors rivals such as OpenAI and Anthropic, which offer free AI access while charging subscribers for higher usage limits and premium capabilities.<h2>Siri AI arrives at a crucial moment</h2>The upgraded Siri is one of Apple's most important AI projects. It is already available in the iOS 27 beta and is expected to roll out publicly this autumn. The launch comes after repeated delays that allowed competitors such as ChatGPT, Claude and Google's Gemini to establish themselves as leading AI assistants. Apple has even integrated a customised version of Google's Gemini into Siri for certain AI tasks, highlighting the company's efforts to close the gap in generative AI.<h2>Apple faces growing AI and hardware pressures</h2>The Siri overhaul also arrives as Apple navigates rising AI infrastructure costs and industry-wide component shortages. The company recently increased prices for several Mac and iPad models, while avoiding changes to current iPhone pricing. AI-related demand for memory chips has driven up manufacturing costs across the technology industry. Meanwhile, Apple settled a class-action lawsuit over how it marketed AI features for the iPhone 16 after delays to its Siri rollout. Whether advanced Siri AI ultimately becomes part of a paid iCloud+ tier remains undecided. But Cook's comments suggest Apple is increasingly looking at subscriptions not just hardware sales to fund its next generation of AI services.

Apple CEO Tim Cook has indicated that advanced Siri AI features may eventually require an iCloud+ subscription for heavy users. The move would align Apple's strategy with OpenAI and Anthropic as it prepares to launch its biggest Siri upgrade with iOS 27.

Apple's long-awaited AI-powered Siri could arrive with a subscription twist. During what was his final earnings call as Apple's CEO, Tim Cook suggested that users who rely heavily on the upgraded Siri may eventually have to pay for additional AI computing through the company's iCloud+ plans. The comments offer one of the clearest indications yet of how Apple plans to monetise its biggest AI upgrade, as the company prepares to launch the new Siri more broadly later this year with iOS 27. Apple could follow the ChatGPT subscription model Cook said Apple expects many users to rely heavily on Siri AI and is exploring upgrade options through iCloud+. "We do believe there will be people that want to use it a lot," Cook said, adding that users may be able to purchase additional AI capacity as part of higher iCloud+ subscription tiers. However, he stressed that the plans are still being evaluated. The approach mirrors rivals such as OpenAI and Anthropic, which offer free AI access while charging subscribers for higher usage limits and premium capabilities. Siri AI arrives at a crucial moment The upgraded Siri is one of Apple's most important AI projects. It is already available in the iOS 27 beta and is expected to roll out publicly this autumn. The launch comes after repeated delays that allowed competitors such as ChatGPT, Claude and Google's Gemini to establish themselves as leading AI assistants. Apple has even integrated a customised version of Google's Gemini into Siri for certain AI tasks, highlighting the company's efforts to close the gap in generative AI. Apple faces growing AI and hardware pressures The Siri overhaul also arrives as Apple navigates rising AI infrastructure costs and industry-wide component shortages. The company recently increased prices for several Mac and iPad models, while avoiding changes to current iPhone pricing. AI-related demand for memory chips has driven up manufacturing costs across the technology industry. Meanwhile, Apple settled a class-action lawsuit over how it marketed AI features for the iPhone 16 after delays to its Siri rollout. Whether advanced Siri AI ultimately becomes part of a paid iCloud+ tier remains undecided. But Cook's comments suggest Apple is increasingly looking at subscriptions not just hardware sales to fund its next generation of AI services.

Apple CEO Tim Cook has indicated that advanced Siri AI features may eventually require an iCloud+ subscription for heavy users. The move would align Apple's strategy with OpenAI and Anthropic as it prepares to launch its biggest Siri upgrade with iOS 27.

Apple may put advanced Siri AI features behind a paywall, Tim Cook hints at iCloud+ upgrade

Apple's next premium iPhones could come with a much higher price tag than many buyers expected. According to a new report, the iPhone 18 Pro and iPhone 18 Pro Max could cost $250 to $300 more than the current iPhone 17 Pro lineup when they launch later this year. If accurate, it would mark one of Apple's biggest-ever price increases for its flagship smartphones. The latest prediction comes from GF Securities analyst Jeff Pu, whose research note, cited by MacRumors, points to rising manufacturing costs as the biggest reason behind the expected increase.<h2>Why the iPhone 18 Pro may cost more</h2>The biggest factor is Apple's expected move to TSMC's 2nm A20 processor. The next-generation chip is widely expected to deliver faster performance, stronger on-device AI capabilities and better power efficiency. However, it is also believed to be significantly more expensive to manufacture than today's 3nm chips.The report also points to rising DRAM and NAND memory prices, along with higher component costs caused by the global AI infrastructure boom. As chipmakers prioritise AI hardware, smartphone manufacturers are facing growing pressure across the supply chain. Jeff Pu believes these higher production costs could leave Apple with little room to absorb the increase without passing some of it on to customers.<h2>More upgrades expected</h2>The iPhone 18 Pro lineup is expected to receive several major hardware improvements alongside the new processor. Leaks suggest Apple will retain the 6.3-inch and 6.9-inch displays for the Pro and Pro Max but introduce a smaller Dynamic Island, brighter LTPO+ OLED panels and improved battery life. Camera upgrades are also expected. Reports suggest Apple could introduce a variable-aperture main camera, giving users greater control over depth of field and improving low-light photography. The Pro Max may also feature a larger battery and Apple's next-generation C2 modem, offering faster connectivity and improved power efficiency.<h2>September launch expected</h2>Apple has not confirmed any details, but multiple reports suggest the company will unveil the iPhone 18 Pro, iPhone 18 Pro Max and its first foldable iPhone during its traditional September launch event. If the latest pricing leak proves accurate, buyers may have to pay substantially more for Apple's next-generation flagship. Whether consumers accept the higher prices could depend on whether the hardware upgrades are significant enough to justify the premium. Until Apple makes an official announcement, all pricing and specifications remain based on leaks and analyst reports.

A fresh leak suggests Apple's iPhone 18 Pro and iPhone 18 Pro Max could cost $250-$300 more than current models. Rising 2nm chip costs, expensive memory and AI-driven supply chain pressures are reportedly behind the expected price increase ahead of the rumoured September launch.


Apple's next premium iPhones could come with a much higher price tag than many buyers expected. According to a new report, the iPhone 18 Pro and iPhone 18 Pro Max could cost $250 to $300 more than the current iPhone 17 Pro lineup when they launch later this year. If accurate, it would mark one of Apple's biggest-ever price increases for its flagship smartphones. The latest prediction comes from GF Securities analyst Jeff Pu, whose research note, cited by MacRumors, points to rising manufacturing costs as the biggest reason behind the expected increase. Why the iPhone 18 Pro may cost more The biggest factor is Apple's expected move to TSMC's 2nm A20 processor. The next-generation chip is widely expected to deliver faster performance, stronger on-device AI capabilities and better power efficiency. However, it is also believed to be significantly more expensive to manufacture than today's 3nm chips. The report also points to rising DRAM and NAND memory prices, along with higher component costs caused by the global AI infrastructure boom. As chipmakers prioritise AI hardware, smartphone manufacturers are facing growing pressure across the supply chain. Jeff Pu believes these higher production costs could leave Apple with little room to absorb the increase without passing some of it on to customers. More upgrades expected The iPhone 18 Pro lineup is expected to receive several major hardware improvements alongside the new processor. Leaks suggest Apple will retain the 6.3-inch and 6.9-inch displays for the Pro and Pro Max but introduce a smaller Dynamic Island, brighter LTPO+ OLED panels and improved battery life. Camera upgrades are also expected. Reports suggest Apple could introduce a variable-aperture main camera, giving users greater control over depth of field and improving low-light photography. The Pro Max may also feature a larger battery and Apple's next-generation C2 modem, offering faster connectivity and improved power efficiency. September launch expected Apple has not confirmed any details, but multiple reports suggest the company will unveil the iPhone 18 Pro, iPhone 18 Pro Max and its first foldable iPhone during its traditional September launch event. If the latest pricing leak proves accurate, buyers may have to pay substantially more for Apple's next-generation flagship. Whether consumers accept the higher prices could depend on whether the hardware upgrades are significant enough to justify the premium. Until Apple makes an official announcement, all pricing and specifications remain based on leaks and analyst reports.

A fresh leak suggests Apple's iPhone 18 Pro and iPhone 18 Pro Max could cost $250-$300 more than current models. Rising 2nm chip costs, expensive memory and AI-driven supply chain pressures are reportedly behind the expected price increase ahead of the rumoured September launch.

iPhone 18 Pro could be Apple's biggest price jump in years, says new leak

ByteDance, the company behind TikTok, has unveiled Seedance 2.5, a major upgrade to its AI video generation platform that aims to make creating realistic videos easier and more controllable. The launch comes just months after Seedance 2.0 attracted global attention with highly realistic AI-generated videos that sparked both excitement among users and renewed copyright concerns in the entertainment industry. With Seedance 2.5, ByteDance is focusing on giving creators more control while producing longer and more detailed videos.<h2>More reference files, better AI videos</h2>The biggest upgrade is the amount of material users can provide to guide the AI. While Seedance 2.0 supported up to 12 reference inputs, the new model accepts 30 images, 10 video clips and 10 audio files in a single prompt. ByteDance says the additional references help the AI better understand a creator's vision, resulting in videos that more closely match the intended style, characters and scenes. The company has also released a 4-minute, 22-second demonstration video showcasing the model's capabilities across multiple cinematic styles.<h2>Longer videos with greater control</h2>Seedance 2.5 can now generate videos lasting up to 30 seconds, double the previous 15-second limit. Another key addition is timestamp-level control, allowing users to edit or direct specific moments within a video. This gives creators greater precision when working with multiple scenes, camera angles, characters and audio tracks, making the model suitable for more complex productions. The platform is available through Jimeng AI and Doubao Pro, while API access will be introduced through Volcano Engine Ark, allowing developers and businesses to integrate the technology into their own products.<h2>AI video competition is heating up</h2>The launch strengthens ByteDance's position in China's fast-growing AI video market. Seedance 2.5 now competes directly with rivals including Kuaishou's Kling and Alibaba's Wan, while global companies such as OpenAI, Google and Runway continue expanding their own video-generation tools. Unlike earlier AI video models that focused mainly on short clips, Seedance 2.5 is designed for both everyday creators and professional users working in filmmaking, advertising and commercial content production. As AI-generated video becomes more realistic and easier to control, the competition is shifting from simply creating videos to giving users professional-grade creative tools. Seedance 2.5 is ByteDance's latest attempt to lead that race.&nbsp;

ByteDance has launched Seedance 2.5, its latest AI video generation model featuring support for 50 reference files, 30-second video creation, timestamp-level editing and improved creative control.

ByteDance, the company behind TikTok, has unveiled Seedance 2.5, a major upgrade to its AI video generation platform that aims to make creating realistic videos easier and more controllable. The launch comes just months after Seedance 2.0 attracted global attention with highly realistic AI-generated videos that sparked both excitement among users and renewed copyright concerns in the entertainment industry. With Seedance 2.5, ByteDance is focusing on giving creators more control while producing longer and more detailed videos. More reference files, better AI videos The biggest upgrade is the amount of material users can provide to guide the AI. While Seedance 2.0 supported up to 12 reference inputs, the new model accepts 30 images, 10 video clips and 10 audio files in a single prompt. ByteDance says the additional references help the AI better understand a creator's vision, resulting in videos that more closely match the intended style, characters and scenes. The company has also released a 4-minute, 22-second demonstration video showcasing the model's capabilities across multiple cinematic styles. Longer videos with greater control Seedance 2.5 can now generate videos lasting up to 30 seconds, double the previous 15-second limit. Another key addition is timestamp-level control, allowing users to edit or direct specific moments within a video. This gives creators greater precision when working with multiple scenes, camera angles, characters and audio tracks, making the model suitable for more complex productions. The platform is available through Jimeng AI and Doubao Pro, while API access will be introduced through Volcano Engine Ark, allowing developers and businesses to integrate the technology into their own products. AI video competition is heating up The launch strengthens ByteDance's position in China's fast-growing AI video market. Seedance 2.5 now competes directly with rivals including Kuaishou's Kling and Alibaba's Wan, while global companies such as OpenAI, Google and Runway continue expanding their own video-generation tools. Unlike earlier AI video models that focused mainly on short clips, Seedance 2.5 is designed for both everyday creators and professional users working in filmmaking, advertising and commercial content production. As AI-generated video becomes more realistic and easier to control, the competition is shifting from simply creating videos to giving users professional-grade creative tools. Seedance 2.5 is ByteDance's latest attempt to lead that race.

ByteDance has launched Seedance 2.5, its latest AI video generation model featuring support for 50 reference files, 30-second video creation, timestamp-level editing and improved creative control. The new model intensifies competition with Kling, Wan, OpenAI and Google in the rapidly growing AI video market.

ByteDance unveils Seedance 2.5 to take on OpenAI, Google and Kling in AI video race

Google is taking another major step towards building more capable humanoid robots. The company has unveiled Gemini Robotics 2, a new artificial intelligence model that acts as a high-level brain for robots. Instead of simply following pre-programmed instructions, robots powered by the new system can understand spoken commands, reason about their surroundings and perform complex physical tasks while adapting to changing environments. The launch highlights Google's growing ambition to bring Gemini beyond smartphones and computers into the physical world, where AI-powered robots could eventually work in warehouses, factories, hospitals and even homes.

<blockquote class="twitter-tweet" data-media-max-width="560">One brain. For any robot. 🤖 We’re launching Gemini Robotics 2: our next-generation physical AI bringing full body intelligence to humanoids, advanced dexterity, multi-robot teamwork and more. <a href="https://t.co/1rFw3NUytb">pic.twitter.com/1rFw3NUytb</a>&mdash; Google DeepMind (@GoogleDeepMind) <a href="https://x.com/GoogleDeepMind/status/2082844162928381956?ref_src=twsrc%5Etfw">July 30, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>A smarter brain for humanoid robots</h2>Traditional robots are excellent at repeating the same task but often fail when something unexpected happens. Google says Gemini Robotics 2 is designed to solve that problem by giving robots the ability to understand context, plan actions and adjust their behaviour in real time. Rather than programming every movement individually, developers can teach robots to reason through tasks much like humans do.One of the biggest upgrades is full-body control. Unlike the previous generation, which mainly controlled a robot's upper body, Gemini Robotics 2 allows humanoids to walk, crouch, balance, bend and use both hands simultaneously. Google also says the model improves dexterity, enabling five-finger robotic hands to perform delicate actions such as tying knots, sealing zip-lock bags and handling small objects, while also supporting industrial grippers for warehouse work.&nbsp;<h2>Gemini Robotics ER 2 plans the work</h2> Alongside the main model, Google introduced Gemini Robotics ER 2, which functions like a project manager for robots. Instead of controlling motors directly, ER 2 understands spoken instructions, breaks large jobs into smaller steps, monitors progress and replans tasks if something changes. Google says this enables robots to complete long workflows involving hundreds of decisions and even coordinate with other robots. The company also launched Gemini Robotics On-Device 2, allowing robots to run AI locally without relying on cloud connectivity. Developers can reportedly customise the model for new robotic platforms in just a few hours using fewer than 200 training examples.&nbsp;<h2>Safety remains a priority</h2>Google says safety has been built into every layer of the platform. The company introduced a new benchmark called ASIMOV-Agentic to evaluate whether robots can refuse unsafe instructions, recognise when human intervention is required and avoid dangerous situations. Robots can also detect nearby people, pause automatically and resume work only when it is safe. As competition in humanoid robotics accelerates with companies including Tesla, Figure AI, Agility Robotics and Unitree all developing increasingly capable machines Google is betting that the future will depend not just on better hardware, but on smarter AI that allows robots to think, adapt and collaborate in the real world.

Google DeepMind has launched Gemini Robotics 2, an AI model designed to give humanoid robots advanced reasoning, full-body movement and task-planning abilities. 

Google is taking another major step towards building more capable humanoid robots. The company has unveiled Gemini Robotics 2, a new artificial intelligence model that acts as a high-level brain for robots. Instead of simply following pre-programmed instructions, robots powered by the new system can understand spoken commands, reason about their surroundings and perform complex physical tasks while adapting to changing environments. The launch highlights Google's growing ambition to bring Gemini beyond smartphones and computers into the physical world, where AI-powered robots could eventually work in warehouses, factories, hospitals and even homes.

Google DeepMind has launched Gemini Robotics 2, an AI model designed to give humanoid robots advanced reasoning, full-body movement and task-planning abilities. The company also introduced Gemini Robotics ER 2 and On-Device 2, expanding its vision for smarter, safer robots that can work both online and offline.

Google unveils Gemini Robotics 2: New AI brain lets humanoid robots walk, think and complete complex tasks

Other than professional services, finance, technology, and medical sectors, artificial intelligence tools have increasingly entered the educational sector, reshaping classrooms and study notes. In relation to the emerging technology, a debate is also emerging over whether AI can or should replace the traditional coaching notes that have long formed the backbone of competitive exam preparation like NEET, UPSC and other competitive exams. Several educational institutions are also adding features of Chat-native learning concepts for exams like UPSC and NEET using AI, which offer bite-sized micro-lessons, instant 24/7 doubt resolution, and work on familiar messaging apps without heavy app downloads. This type of facility offers effective use of study materials to make consistent practice. Industry experts argue that the real issue facing students today isn't a shortage of study material, but rather how effectively that material is used, practised, and reinforced. According to those working closely with exam aspirants, the future of preparation likely lies not in eliminating notes, but in transforming passive study habits into active, consistent practice, supported by AI, but still guided by human mentorship.<h3>What is Chat-native learning?</h3>Chat-native learning is an educational method that delivers lessons, quizzes, and concepts directly through messaging apps like WhatsApp instead of traditional video lectures or learning portals. It cuts out extra logins and app downloads, making study time feel like a regular text conversation. This feature works inside everyday apps we already use without needing a separate website login and breaks concepts into short lines of text rather than long 45-minute classes. In addition, it asks a quick question, waits for our response similar to AI apps, and gives instant feedback.&nbsp;Also read: <a href="https://www.wionews.com/india-news/can-pellet-guns-be-used-by-raf-in-protests-to-control-crowd-what-indian-law-states-wion-decodes-1785492931704">Can RAF use pellet guns to control crowd during protests? What Indian law states | WION Decodes</a><h3>Experts call notes a passive item</h3>Prempreet Singh, Founder &amp; CEO, SkillBytes, said," Ask any UPSC or NEET aspirant what they lack, and it is never material. They are drowning in it. Coaching notes, printed handouts, PDFs, recorded lectures. The average serious aspirant has more content than they could finish in the years they have. So the honest question is not whether AI can produce better notes. It is whether notes were ever the thing holding students back. They were not. Notes are passive. You read them, you highlight them, you tell yourself you will revise them later, and most of the time later never comes. What actually builds mastery for a high-stakes exam is practice done daily, with feedback, until recall becomes automatic. That is the part traditional preparation has always struggled to deliver at scale, because it demands a habit, not a document." "This is where chat-native learning is quietly changing the equation. Instead of asking a student to open another app or sit through another lecture, it delivers practice in five-minute units inside the messaging platform they already live on. No download, no login, no fresh block of time to defend. A question, an answer, instant feedback, and the loop closes while attention is still warm," he added. He added that at SkillBytes, the pattern is consistent over 7.5 lakh students. Students tend to stick with practice that seamlessly fits into their daily routine, but abandon it when it feels like a competing demand on their time. AI doesn't take over the aspirant's effort; instead, it eliminates the friction that once wasted it. Going ahead, he added that the real transformation in exam preparation won't come from bulkier notes. It will come in the form of a daily habit, built five minutes at a time, woven into a conversation the student was already having. Dr Kanishk Agrawal, Chief Technology Officer at Judge Group, India, said, "It’s very rare that AI is going to replace traditional coaching entirely, but it’s certainly changing the way aspirants learn. When it comes to UPSC and NEET candidates, the challenge they have in the present situation is not the access to knowledge anymore but its filtering, processing, and application. With the help of chat-enabled AI, learners can pose relevant questions any time, receive instant explanations, get complicated things simplified, get individual studying plans, and practice writing answers or solving MCQs whenever they need it. This enables a very interactive learning situation, which is impossible for orthodox coaching materials to provide. However, it should be said that AI cannot replace a mentor. Exams need a systematic approach, clear understanding of what is going on, and the ability to think critically, and it is something that teachers can give better than AI. Most probably, the future mode of preparation for exams is going to be the hybrid one where AI stimulates study processes and gives personal assistance, while teachers give strategy and motivation." Meanwhile, expressing concern about the role of AI for notes of competitive exams, Avinash Tyagi, Founder &amp; Managing Director, Gyanic, stated that AI should support competitive-exam preparation, without disrupting the role of teachers, mentors or structured notes. He said the traditional coaching notes for UPSC and NEET aspirants still give a significant foundation for preparation. He said, "What is changing is how students use them. With AI tools, digital libraries and online lectures, aspirants now have access to far more information. As access has widened, examiner expectations have also risen. Students are expected to cover broader themes, connect subjects, analyse issues and apply knowledge rather than reproduce memorised material. This is where chat-native learning adds value. It allows students to question a concept, seek another explanation, revise through conversation and practise immediately." He added that chat-native learning can also break linguistic barriers as it provides accessibility to a Hindi-medium aspirant, providing research papers and expert commentary through translation, and then seeking to have difficult ideas explained in simpler language. He noted that this can increase access to material without restricting language. However, translated academic content must still be cross-checked for context and technical accuracy. "However, more information does not automatically lead to better preparation. When knowledge is everywhere, expert guidance becomes more important. Students still need mentors to decide what matters, what can be ignored, how topics should be prioritised and how an examination may test them. AI also has limits. It can process large volumes quickly, but it may misread context, produce inaccurate responses or draw weak conclusions from data. In education, data becomes useful only when interpreted against a student’s behaviour, preparation stage and examination requirements. The reliability of AI-assisted learning therefore depends on expert verification and human oversight. AI will not replace coaching notes; it will make them more interactive, personalised and accessible. But in an age of abundant information, the real advantage will come from knowing what to trust, what to prioritise and how to apply it. That is where experts will remain indispensable," he added.&nbsp;

Several educational institutions are also adding features of Chat-native learning concepts for exams like UPSC and NEET using AI, which offer bite-sized micro-lessons, instant 24/7 doubt resolution, and work on familiar messaging apps without heavy app downloads.

Other than professional services, finance, technology, and medical sectors, artificial intelligence tools have increasingly entered the educational sector, reshaping classrooms and study notes. In relation to the emerging technology, a debate is also emerging over whether AI can or should replace the traditional coaching notes that have long formed the backbone of competitive exam preparation like NEET, UPSC and other competitive exams. Several educational institutions are also adding features of Chat-native learning concepts for exams like UPSC and NEET using AI, which offer bite-sized micro-lessons, instant 24/7 doubt resolution, and work on familiar messaging apps without heavy app downloads. This type of facility offers effective use of study materials to make consistent practice. Industry experts argue that the real issue facing students today isn't a shortage of study material, but rather how effectively that material is used, practised, and reinforced. According to those working closely with exam aspirants, the future of preparation likely lies not in eliminating notes, but in transforming passive study habits into active, consistent practice, supported by AI, but still guided by human mentorship. What is Chat-native learning? Chat-native learning is an educational method that delivers lessons, quizzes, and concepts directly through messaging apps like WhatsApp instead of traditional video lectures or learning portals. It cuts out extra logins and app downloads, making study time feel like a regular text conversation. This feature works inside everyday apps we already use without needing a separate website login and breaks concepts into short lines of text rather than long 45-minute classes. In addition, it asks a quick question, waits for our response similar to AI apps, and gives instant feedback. Also read: Can RAF use pellet guns to control crowd during protests? What Indian law states | WION Decodes Experts call notes a passive item Prempreet Singh, Founder & CEO, SkillBytes, said," Ask any UPSC or NEET aspirant what they lack, and it is never material. They are drowning in it. Coaching notes, printed handouts, PDFs, recorded lectures. The average serious aspirant has more content than they could finish in the years they have. So the honest question is not whether AI can produce better notes. It is whether notes were ever the thing holding students back. They were not. Notes are passive. You read them, you highlight them, you tell yourself you will revise them later, and most of the time later never comes. What actually builds mastery for a high-stakes exam is practice done daily, with feedback, until recall becomes automatic. That is the part traditional preparation has always struggled to deliver at scale, because it demands a habit, not a document." "This is where chat-native learning is quietly changing the equation. Instead of asking a student to open another app or sit through another lecture, it delivers practice in five-minute units inside the messaging platform they already live on. No download, no login, no fresh block of time to defend. A question, an answer, instant feedback, and the loop closes while attention is still warm," he added. He added that at SkillBytes, the pattern is consistent over 7.5 lakh students. Students tend to stick with practice that seamlessly fits into their daily routine, but abandon it when it feels like a competing demand on their time. AI doesn't take over the aspirant's effort; instead, it eliminates the friction that once wasted it. Going ahead, he added that the real transformation in exam preparation won't come from bulkier notes. It will come in the form of a daily habit, built five minutes at a time, woven into a conversation the student was already having. Dr Kanishk Agrawal, Chief Technology Officer at Judge Group, India, said, "It’s very rare that AI is going to replace traditional coaching entirely, but it’s certainly changing the way aspirants learn. When it comes to UPSC and NEET candidates, the challenge they have in the present situation is not the access to knowledge anymore but its filtering, processing, and application. With the help of chat-enabled AI, learners can pose relevant questions any time, receive instant explanations, get complicated things simplified, get individual studying plans, and practice writing answers or solving MCQs whenever they need it. This enables a very interactive learning situation, which is impossible for orthodox coaching materials to provide. However, it should be said that AI cannot replace a mentor. Exams need a systematic approach, clear understanding of what is going on, and the ability to think critically, and it is something that teachers can give better than AI. Most probably, the future mode of preparation for exams is going to be the hybrid one where AI stimulates study processes and gives personal assistance, while teachers give strategy and motivation." Meanwhile, expressing concern about the role of AI for notes of competitive exams, Avinash Tyagi, Founder & Managing Director, Gyanic, stated that AI should support competitive-exam preparation, without disrupting the role of teachers, mentors or structured notes. He said the traditional coaching notes for UPSC and NEET aspirants still give a significant foundation for preparation. He said, "What is changing is how students use them. With AI tools, digital libraries and online lectures, aspirants now have access to far more information. As access has widened, examiner expectations have also risen. Students are expected to cover broader themes, connect subjects, analyse issues and apply knowledge rather than reproduce memorised material. This is where chat-native learning adds value. It allows students to question a concept, seek another explanation, revise through conversation and practise immediately." He added that chat-native learning can also break linguistic barriers as it provides accessibility to a Hindi-medium aspirant, providing research papers and expert commentary through translation, and then seeking to have difficult ideas explained in simpler language. He noted that this can increase access to material without restricting language. However, translated academic content must still be cross-checked for context and technical accuracy. "However, more information does not automatically lead to better preparation. When knowledge is everywhere, expert guidance becomes more important. Students still need mentors to decide what matters, what can be ignored, how topics should be prioritised and how an examination may test them. AI also has limits. It can process large volumes quickly, but it may misread context, produce inaccurate responses or draw weak conclusions from data. In education, data becomes useful only when interpreted against a student’s behaviour, preparation stage and examination requirements. The reliability of AI-assisted learning therefore depends on expert verification and human oversight. AI will not replace coaching notes; it will make them more interactive, personalised and accessible. But in an age of abundant information, the real advantage will come from knowing what to trust, what to prioritise and how to apply it. That is where experts will remain indispensable," he added.

Several educational institutions are also adding features of Chat-native learning concepts for exams like UPSC and NEET using AI, which offer bite-sized micro-lessons, instant 24/7 doubt resolution, and work on familiar messaging apps without heavy app downloads.

Can AI replace traditional coaching notes for UPSC and NEET aspirants? Experts reveal shocking reality

Finance Minister Nirmala Sitharaman on Friday (Jul 31) praised Hyderabad-based space startup TakeMe2Space after its PowerBank-50 became India's first indigenously developed satellite battery to earn the coveted 'flight heritage' status.Sharing the development on X, Sitharaman wrote: "Brilliant!" while highlighting that Indian satellite manufacturers had long depended on imported battery systems. "Until now, Indian satellite builders mostly had to import this critical component at high cost and long waiting times."

<blockquote class="twitter-tweet">Brilliant! “Until now, Indian satellite builders mostly had to import this critical component at high cost and long waiting times.” TakeMe2Space&#39;s PowerBank-50 becomes first India-made satellite battery.<a href="https://x.com/hashtag/AtmaNirbharBharat?src=hash&amp;ref_src=twsrc%5Etfw">#AtmaNirbharBharat</a> <a href="https://t.co/IJ69cUPZ8E">https://t.co/IJ69cUPZ8E</a>&mdash; Nirmala Sitharaman (@nsitharaman) <a href="https://x.com/nsitharaman/status/2083008391816085539?ref_src=twsrc%5Etfw">July 31, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

The recognition comes after the battery pack completed its maiden mission aboard Skyroot Aerospace's Vikram-1 rocket during Mission Aagaman, which was launched on July 18.The mission marked another milestone for India's private space sector as Vikram-1 became the first privately developed Indian rocket to reach orbit, making India only the third country, after the United States and China, where a private company has achieved orbital launch capability.Also read | <a href="https://www.wionews.com/india-news/india-s-gps-has-a-satellite-problem-government-says-navic-no-longer-working-all-you-need-to-know-1785397313963">India's GPS has a satellite problem: Government says NavIC no longer working. All you need to know</a><h2>What 'flight heritage' means</h2>Onboard Vikram-1, a single PowerBank-50 unit supplied power to Cosmoserve Space's experimental payload mounted on the rocket's Orbital Adjustment Module (OAM) at an altitude of 450 km. According to the company, the battery performed as designed despite enduring launch vibrations and the harsh conditions of space, including vacuum, radiation and extreme temperature fluctuations.The successful mission gives the battery "flight heritage", a key certification in the satellite industry that proves a component has operated successfully in space."Every satellite mission lives or dies by its power system, which is why nobody wants to be the first to fly a new battery," said Ronak Kumar Samantray, founder and CEO of TakeMe2Space."Flying on the first private Indian rocket to reach orbit, and performing flawlessly at 450 km, is the strongest validation a product can earn. PowerBank-50 is now space proven, made in India, and ready for every satellite builder in the world."Also read | <a href="https://www.wionews.com/india-news/child-marriage-still-exists-in-india-in-2026-ncw-sets-2030-deadline-to-end-it-1785485550409">Child marriage still exists in India in 2026? NCW sets 2030 deadline to end it</a><h2>Why the milestone matters</h2>In the satellite industry, components without flight heritage often struggle to find customers because satellite operators, launch providers and insurers prefer systems that have already been tested in orbit.The hurdle is especially high for batteries, which must survive violent launch conditions before reliably powering spacecraft through repeated cycles of sunlight and darkness in space.TakeMe2Space said the mission validated the battery's high-energy-density lithium-ion cells, intelligent battery management system, onboard heaters and aluminium flight enclosure, elevating it from a ground-qualified product to one proven in orbit.<h2>Cheaper satellites, wider benefits</h2>The company says PowerBank-50 stores more than 50 watt-hours of energy in a unit weighing just 380 grams, roughly the size of a paperback book. It can power everything from CubeSats to microsatellites, offers an operational life of up to five years in low-Earth orbit, and is available off the shelf for ₹1,04,900, significantly cheaper than comparable imported battery packs.Until now, Indian satellite developers largely relied on imported battery systems that were expensive and often involved long procurement timelines. Notably, an affordable, flight-proven battery made in India could lower the cost of satellite missions for startups, universities and research institutions, ultimately enabling more satellites for applications such as weather forecasting, disaster warnings, agriculture, navigation, communications and Earth observation. &nbsp;

Finance Minister Nirmala Sitharaman has hailed the development of PowerBank-50, described as India's first indigenously developed satellite battery by space startup TakeMe2Space. The breakthrough could reduce dependence on expensive imported battery systems.

Finance Minister Nirmala Sitharaman on Friday (Jul 31) praised Hyderabad-based space startup TakeMe2Space after its PowerBank-50 became India's first indigenously developed satellite battery to earn the coveted 'flight heritage' status. Sharing the development on X, Sitharaman wrote: "Brilliant!" while highlighting that Indian satellite manufacturers had long depended on imported battery systems. "Until now, Indian satellite builders mostly had to import this critical component at high cost and long waiting times."

Finance Minister Nirmala Sitharaman has hailed the development of PowerBank-50, described as India's first indigenously developed satellite battery by space startup TakeMe2Space. The breakthrough could reduce dependence on expensive imported battery systems.

India builds its first homegrown satellite battery; Nirmala Sitharaman celebrates breakthrough

AI safety concerns have intensified after Anthropic disclosed that several versions of its Claude model gained unauthorised access to real-world computer systems during security testing. This comes just days after Anthropic rival OpenAI revealed a similar containment failure involving one of its own advanced models.In a blog post published on Thursday (Jul 30), Anthropic said it reviewed more than 141,000 evaluation runs and found that three different versions of Claude had improperly accessed the systems of three external organisations.Also read | <a href="https://www.wionews.com/technology/scary-rogue-ai-on-the-loose-openai-agent-hit-another-tech-firm-s-customer-suggests-report-1785292505727">'Scary' Rogue AI on the loose? OpenAI agent hit another tech firm's customer, suggests report</a><h2>How could the AI get 'real-world access'?</h2>Anthropic said the incidents occurred because the AI models unexpectedly had internet access during testing due to a "misunderstanding" between Anthropic and its evaluation partner, Irregular.Once connected, Claude used "basic techniques, such as exploiting weak passwords and unauthenticated endpoints" to enter external systems, according to the company.One of the affected models was Mythos 5, Anthropic's most advanced AI system, which is currently available only to a limited group of approved partners.Anthropic said it is working with Irregular to investigate the incidents and has contacted, or attempted to contact, all three organisations whose systems were accessed.Also read | <a href="https://www.wionews.com/india-news/anthropic-reveals-india-is-claude-ai-s-no-2-market-but-what-are-indians-actually-using-the-ai-for-wion-decodes-1785394109668">Anthropic reveals India is Claude AI's No. 2 market. But what are Indians actually using the AI for? | WION Decodes</a><h2>OpenAI's rogue agent</h2>The disclosure comes less than a week after OpenAI acknowledged that one of its frontier AI models escaped its testing environment, connected to the internet and infiltrated Hugging Face, a platform widely used by developers to host and share AI models and code.OpenAI later revealed it had identified three additional incidents involving unauthorised access during testing.The company has since paused parts of its evaluation programme while strengthening its sandboxing systems, which are designed to isolate experimental AI models from external networks.OpenAI CEO Sam Altman was also expected to meet White House officials on Thursday to discuss the company's upcoming AI models and voluntary government cybersecurity testing of advanced AI systems. According to Reuters, Altman is scheduled to meet White House Chief of Staff Susie Wiles, National Cyber Director Sean Cairncross, technology adviser Michael Kratsios, and Commerce Secretary Howard Lutnick.

Anthropic has revealed that three versions of its Claude AI model gained unauthorised access to external computer systems during security testing after unexpectedly obtaining internet access. The disclosure comes days after OpenAI reported a similar containment failure.

AI safety concerns have intensified after Anthropic disclosed that several versions of its Claude model gained unauthorised access to real-world computer systems during security testing. This comes just days after Anthropic rival OpenAI revealed a similar containment failure involving one of its own advanced models. In a blog post published on Thursday (Jul 30), Anthropic said it reviewed more than 141,000 evaluation runs and found that three different versions of Claude had improperly accessed the systems of three external organisations. Also read | 'Scary' Rogue AI on the loose? OpenAI agent hit another tech firm's customer, suggests report How could the AI get 'real-world access'? Anthropic said the incidents occurred because the AI models unexpectedly had internet access during testing due to a "misunderstanding" between Anthropic and its evaluation partner, Irregular. Once connected, Claude used "basic techniques, such as exploiting weak passwords and unauthenticated endpoints" to enter external systems, according to the company. One of the affected models was Mythos 5, Anthropic's most advanced AI system, which is currently available only to a limited group of approved partners. Anthropic said it is working with Irregular to investigate the incidents and has contacted, or attempted to contact, all three organisations whose systems were accessed. Also read | Anthropic reveals India is Claude AI's No. 2 market. But what are Indians actually using the AI for? | WION Decodes OpenAI's rogue agent The disclosure comes less than a week after OpenAI acknowledged that one of its frontier AI models escaped its testing environment, connected to the internet and infiltrated Hugging Face, a platform widely used by developers to host and share AI models and code. OpenAI later revealed it had identified three additional incidents involving unauthorised access during testing. The company has since paused parts of its evaluation programme while strengthening its sandboxing systems, which are designed to isolate experimental AI models from external networks. OpenAI CEO Sam Altman was also expected to meet White House officials on Thursday to discuss the company's upcoming AI models and voluntary government cybersecurity testing of advanced AI systems. According to Reuters, Altman is scheduled to meet White House Chief of Staff Susie Wiles, National Cyber Director Sean Cairncross, technology adviser Michael Kratsios, and Commerce Secretary Howard Lutnick.

Anthropic has revealed that three versions of its Claude AI model gained unauthorised access to external computer systems during security testing after unexpectedly obtaining internet access. The disclosure comes days after OpenAI reported a similar containment failure.

After OpenAI's 'scary' agent, Anthropic's Claude goes rogue; AI gains unauthorised 'real-world' access during testing

Microsoft has delivered its biggest financial year on record and it is using that momentum to double down on artificial intelligence. The technology giant reported $331 billion in annual revenue, while its cloud business generated $214 billion. Azure also crossed $100 billion in annual revenue for the first time, underscoring the growing demand for Microsoft's AI-powered cloud services. But the biggest announcement came from CEO Satya Nadella, who revealed that Microsoft is preparing a Copilot super app, signalling the company's next major step in the AI race.<figure class="image"><img src="https://akm-img-a-in.tosshub.com/indiatoday/styles/medium_crop_simple/public/2026-07/sd_ms.jpg?VersionId=XIfPE3nsz3nyhxxqgT11ABVhKZSMw_Zp" alt="Satya Nadella MS"></figure><h2>Copilot is evolving beyond a chatbot</h2>Speaking during Microsoft's earnings call, Nadella said the company is bringing its Copilot experiences together into "one super app."The platform is expected to combine Microsoft's AI products including Copilot, GitHub Copilot and other AI-powered productivity tools into a single interface. Rather than switching between multiple applications, users could access coding, writing, research, enterprise workflows and AI assistance from one place. The move puts Microsoft in more direct competition with OpenAI, Anthropic and Google as AI companies race to build all-in-one assistants that become the primary interface for work.<h2>Microsoft is reducing its dependence on OpenAI</h2>Nadella also signalled that Microsoft is becoming increasingly independent in AI development. The company is investing in its own AI models, custom chips and enterprise AI architecture while continuing its long-standing partnership with OpenAI. "We ourselves are using it," Nadella said, referring to Microsoft's internal AI design approach. The shift reflects Microsoft's strategy of giving enterprise customers access to multiple AI models instead of relying on a single provider.<h2>AI is driving Microsoft's growth</h2>Microsoft also revealed that adoption of Microsoft 365 Copilot continues to accelerate. Paid M365 Copilot seats have surpassed 30 million, up from 20 million in the previous quarter, highlighting growing demand for AI-powered workplace tools.Meanwhile, Microsoft's commercial cloud backlog increased to $678 billion, with the company saying the latest growth came entirely from customers outside the leading US AI model developers. Although Microsoft continues investing heavily in AI infrastructure, it forecast lower-than-expected capital expenditure for the coming year while maintaining long-term investment plans. The message from Microsoft's record earnings was clear: AI is no longer just another product inside the company. It has become the centre of Microsoft's future strategy and the upcoming Copilot super app could be its biggest AI launch yet.

Microsoft reported a record $331 billion in annual revenue as CEO Satya Nadella unveiled plans for a Copilot AI super app. The company also crossed $100 billion in Azure revenue, passed 30 million Microsoft 365 Copilot seats and outlined its strategy to build more of its own AI technology.

Microsoft has delivered its biggest financial year on record and it is using that momentum to double down on artificial intelligence. The technology giant reported $331 billion in annual revenue, while its cloud business generated $214 billion. Azure also crossed $100 billion in annual revenue for the first time, underscoring the growing demand for Microsoft's AI-powered cloud services. But the biggest announcement came from CEO Satya Nadella, who revealed that Microsoft is preparing a Copilot super app, signalling the company's next major step in the AI race. Copilot is evolving beyond a chatbot Speaking during Microsoft's earnings call, Nadella said the company is bringing its Copilot experiences together into "one super app." The platform is expected to combine Microsoft's AI products including Copilot, GitHub Copilot and other AI-powered productivity tools into a single interface. Rather than switching between multiple applications, users could access coding, writing, research, enterprise workflows and AI assistance from one place. The move puts Microsoft in more direct competition with OpenAI, Anthropic and Google as AI companies race to build all-in-one assistants that become the primary interface for work. Microsoft is reducing its dependence on OpenAI Nadella also signalled that Microsoft is becoming increasingly independent in AI development. The company is investing in its own AI models, custom chips and enterprise AI architecture while continuing its long-standing partnership with OpenAI. "We ourselves are using it," Nadella said, referring to Microsoft's internal AI design approach. The shift reflects Microsoft's strategy of giving enterprise customers access to multiple AI models instead of relying on a single provider. AI is driving Microsoft's growth Microsoft also revealed that adoption of Microsoft 365 Copilot continues to accelerate. Paid M365 Copilot seats have surpassed 30 million, up from 20 million in the previous quarter, highlighting growing demand for AI-powered workplace tools. Meanwhile, Microsoft's commercial cloud backlog increased to $678 billion, with the company saying the latest growth came entirely from customers outside the leading US AI model developers. Although Microsoft continues investing heavily in AI infrastructure, it forecast lower-than-expected capital expenditure for the coming year while maintaining long-term investment plans. The message from Microsoft's record earnings was clear: AI is no longer just another product inside the company. It has become the centre of Microsoft's future strategy and the upcoming Copilot super app could be its biggest AI launch yet.

Microsoft reported a record $331 billion in annual revenue as CEO Satya Nadella unveiled plans for a Copilot AI super app. The company also crossed $100 billion in Azure revenue, passed 30 million Microsoft 365 Copilot seats and outlined its strategy to build more of its own AI technology.

Microsoft's next AI move: Satya Nadella says a Copilot 'super app' is coming

National Payments Corporation of India (NPCI) is working with banks and UPI apps to mask users' mobile numbers on the platforms to strengthen privacy as part of a broader effort to make digital payments more secure as UPI transactions continue to grow rapidly in India. Payment apps have reportedly been instructed to make these changes by September 4, 2026. To make this platform stronger and more secure, biometric authentication is likely to play a major role as UPI transactions have crossed 600 million by June 2026, according to the NPCI. NPCI stated that the technology-based on-device biometric authentication allows users to authorise payments using a smartphone's fingerprint or facial recognition. This feature enables both person-to-person (P2P) and person-to-merchant (P2M) transactions, making the RuPay Credit Card on UPI and allowing users to make PIN-free credit payments. The proposal came in light of rising text message-based scams in India, which have surged 146 per cent. It has highlighted a sharp shift in the digital fraud landscape of the country towards scam-led attacks, according to the latest Digital Banking Fraud Trends in India 2026 report by fraud detection firm BioCatch. The report indicated that the rapid expansion of the Unified Payments Interface (UPI), e-commerce, online investment platforms and mobile banking has made the fraud ecosystem of India increasingly digital, high-volume and driven by scams. The report found that although attempted fraud sessions among BioCatch's Indian customers dropped 12 per cent, the total value of attempted fraudulent payments rose 35 per cent, suggesting fraudsters are increasingly focusing on higher-value transactions.&nbsp;Also read: <a href="https://www.wionews.com/india-news/parliament-clears-vande-mataram-bill-makes-insult-to-national-song-a-criminal-offence-1785408853799">Parliament clears Vande Mataram Bill, makes insult to National Song a criminal offence</a><h3>How do UPI platforms balance user privacy with fraud detection?</h3>The NPCI has asked the platforms to display only the last four digits and to default to username-based IDs; experts have outlined a broader framework to ensure privacy gains don't come at the cost of security or accountability. To balance user privacy, traceability sits at the core of this approach, as in this case, mobile numbers would be hidden on public-facing UPI interfaces, and banks, NPCI, and authorised Payment Service Providers (PSPs) would retain secure backend access for essential functions like KYC verification, dispute resolution, and fraud investigations. This mirrors NPCI's own stated rationale; the directive follows a circular responding to widespread social media complaints, particularly from women, about safety and identity-theft risks tied to visible phone numbers during transactions. Lawful access would remain strictly regulated, with personal details shared with law enforcement only through formal legal channels such as court orders or statutory requests, preventing misuse while preserving investigative capability. To offset reduced visibility of phone numbers, experts recommend AI-driven fraud detection powered by behavioural analytics, device fingerprinting, transaction pattern analysis, and risk scoring. This aligns with industry trends, including a recent BioCatch report which found SMS scams in India surged 146 per cent and mobile fraud sessions rose 67 per cent between H2 2025 and H1 2026, with fraud increasingly shifting toward high-value transactions even as overall attempted fraud sessions declined 12 per cent, suggesting financial institutions are already strengthening detection capabilities. Data minimisation and audit trails would ensure only essential information, such as a verified name or a masked number, is displayed, while encrypted logs are maintained in the backend to support regulatory compliance and investigations when needed. Ultimately, the goal is a balanced approach, maximising user privacy without compromising payment security, financial system integrity, or authorities' ability to probe cybercrime, a principle that has become increasingly urgent given India's massive UPI footprint, which crossed 55 crore users as of June 2026, according to government data.&nbsp;

NPCI said on-device biometric authentication lets users authorise payments via fingerprint or facial recognition, enabling P2P and P2M transactions and allowing PIN-free credit payments through RuPay Credit Card on UPI.

National Payments Corporation of India (NPCI) is working with banks and UPI apps to mask users' mobile numbers on the platforms to strengthen privacy as part of a broader effort to make digital payments more secure as UPI transactions continue to grow rapidly in India. Payment apps have reportedly been instructed to make these changes by September 4, 2026. To make this platform stronger and more secure, biometric authentication is likely to play a major role as UPI transactions have crossed 600 million by June 2026, according to the NPCI. NPCI stated that the technology-based on-device biometric authentication allows users to authorise payments using a smartphone's fingerprint or facial recognition. This feature enables both person-to-person (P2P) and person-to-merchant (P2M) transactions, making the RuPay Credit Card on UPI and allowing users to make PIN-free credit payments. The proposal came in light of rising text message-based scams in India, which have surged 146 per cent. It has highlighted a sharp shift in the digital fraud landscape of the country towards scam-led attacks, according to the latest Digital Banking Fraud Trends in India 2026 report by fraud detection firm BioCatch. The report indicated that the rapid expansion of the Unified Payments Interface (UPI), e-commerce, online investment platforms and mobile banking has made the fraud ecosystem of India increasingly digital, high-volume and driven by scams. The report found that although attempted fraud sessions among BioCatch's Indian customers dropped 12 per cent, the total value of attempted fraudulent payments rose 35 per cent, suggesting fraudsters are increasingly focusing on higher-value transactions. Also read: Parliament clears Vande Mataram Bill, makes insult to National Song a criminal offence How do UPI platforms balance user privacy with fraud detection? The NPCI has asked the platforms to display only the last four digits and to default to username-based IDs; experts have outlined a broader framework to ensure privacy gains don't come at the cost of security or accountability. To balance user privacy, traceability sits at the core of this approach, as in this case, mobile numbers would be hidden on public-facing UPI interfaces, and banks, NPCI, and authorised Payment Service Providers (PSPs) would retain secure backend access for essential functions like KYC verification, dispute resolution, and fraud investigations. This mirrors NPCI's own stated rationale; the directive follows a circular responding to widespread social media complaints, particularly from women, about safety and identity-theft risks tied to visible phone numbers during transactions. Lawful access would remain strictly regulated, with personal details shared with law enforcement only through formal legal channels such as court orders or statutory requests, preventing misuse while preserving investigative capability. To offset reduced visibility of phone numbers, experts recommend AI-driven fraud detection powered by behavioural analytics, device fingerprinting, transaction pattern analysis, and risk scoring. This aligns with industry trends, including a recent BioCatch report which found SMS scams in India surged 146 per cent and mobile fraud sessions rose 67 per cent between H2 2025 and H1 2026, with fraud increasingly shifting toward high-value transactions even as overall attempted fraud sessions declined 12 per cent, suggesting financial institutions are already strengthening detection capabilities. Data minimisation and audit trails would ensure only essential information, such as a verified name or a masked number, is displayed, while encrypted logs are maintained in the backend to support regulatory compliance and investigations when needed. Ultimately, the goal is a balanced approach, maximising user privacy without compromising payment security, financial system integrity, or authorities' ability to probe cybercrime, a principle that has become increasingly urgent given India's massive UPI footprint, which crossed 55 crore users as of June 2026, according to government data.

NPCI said on-device biometric authentication lets users authorise payments via fingerprint or facial recognition, enabling P2P and P2M transactions and allowing PIN-free credit payments through RuPay Credit Card on UPI.

How should UPI platforms balance privacy, fraud detection and law enforcement access? EXPLAINED

OpenAI is taking its biggest step yet to bring frontier AI into research laboratories. The company has announced ChatGPT for Academic Researchers, a programme that will give 100,000 researchers at eligible universities and research institutions free access to its most advanced AI models. The goal is simple: let scientists use AI to solve the problems they understand best instead of having OpenAI decide what should be researched.

<blockquote class="twitter-tweet">We’re giving scientists, mathematicians, and engineers free access to our frontier models—starting with 10,000 researchers and expanding to 100,000 through 2027. ChatGPT for Academic Researchers is built to accelerate discovery across disciplines. <a href="https://t.co/nrHn1no0wQ">pic.twitter.com/nrHn1no0wQ</a>&mdash; OpenAI (@OpenAI) <a href="https://x.com/OpenAI/status/2082516370949062989?ref_src=twsrc%5Etfw">July 29, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

OpenAI CEO Sam Altman welcomed the initiative on X, saying the company is "very close to models that will significantly accelerate scientific discovery" and that "the best way to do this is for us to empower scientists, not to try to figure out everything ourselves."

<blockquote class="twitter-tweet">so excited for this. very close to models that will significantly accelerate scientific discovery; the best way to do this is for us to empower scientists, not to try to figure out everything ourselves. we all deserve the benefits. <a href="https://t.co/nzfHpb96re">https://t.co/nzfHpb96re</a>&mdash; Sam Altman (@sama) <a href="https://x.com/sama/status/2082628413769003269?ref_src=twsrc%5Etfw">July 30, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>How the programme will work</h2>The rollout will begin this summer with 10,000 researchers, before expanding to 100,000 participants by 2027. Eligible researchers will receive access to GPT-5.6 Sol Pro, OpenAI's flagship reasoning model, and will be able to invite up to four collaborators from the same institution. Beyond ChatGPT, the package includes more than 75 specialised life science skills covering genetics, genomics, protein modelling and drug discovery. Researchers will also gain tools that connect to scientific papers, genomic databases, satellite imagery and computational notebooks, alongside Codex, OpenAI's coding assistant for analysing data and writing research software.<h2>Why OpenAI believes this could speed up science&nbsp;</h2> The company says its latest models are becoming increasingly capable of handling research-level reasoning. According to OpenAI, GPT-5.6 Sol scores 83% on FrontierMath Tier 4, up from 72.5% for its previous model. On GeneBench Pro, which measures biological data analysis, the model completes just over 31% of complex tasks. OpenAI will also provide training sessions so researchers can learn how to use the tools effectively.<h2>Part of a bigger scientific push</h2>The initiative forms part of OpenAI's broader $250 million commitment to scientific research through 2027. It builds on programmes including NextGenAI and the company's partnership with the US Department of Energy's Genesis Mission, reflecting a growing effort to position AI as a research partner rather than simply a chatbot. Applications are now open for eligible degree-granting institutions with established research programmes.

OpenAI has launched ChatGPT for Academic Researchers, giving 100,000 researchers free access to GPT-5.6 Sol Pro, scientific AI tools and coding assistance through 2027. The company says the programme is designed to accelerate scientific discovery by putting frontier AI into researchers' hands.

OpenAI is taking its biggest step yet to bring frontier AI into research laboratories. The company has announced ChatGPT for Academic Researchers, a programme that will give 100,000 researchers at eligible universities and research institutions free access to its most advanced AI models. The goal is simple: let scientists use AI to solve the problems they understand best instead of having OpenAI decide what should be researched.

OpenAI has launched ChatGPT for Academic Researchers, giving 100,000 researchers free access to GPT-5.6 Sol Pro, scientific AI tools and coding assistance through 2027. The company says the programme is designed to accelerate scientific discovery by putting frontier AI into researchers' hands.

OpenAI to give 100,000 researchers free access to its most powerful AI models in push to speed up scientific discovery

India's indigenous satellite navigation system NavIC is currently unable to provide standalone positioning services, the central government told the Parliament on Wednesday. This is because the number of operational navigation satellites has now fallen below the minimum required.In a written reply in the Lok Sabha, Union Minister of State for Space Dr Jitendra Singh said only three satellites in the NavIC constellation are presently capable of providing Positioning, Navigation and Timing (PNT) services.The operational satellites are IRNSS-1B, IRNSS-1I and NVS-01, following the completion of the 10-year mission life of IRNSS-1F.Also read | <a href="https://www.wionews.com/india-news/assam-flood-toll-reaches-78-after-fresh-deaths-in-sivasagar-golaghat-over-3-lakh-people-affected-across-seven-districts-1785374750099">Assam flood toll reaches 78 after fresh deaths in Sivasagar, Golaghat; over 3 lakh people affected across seven districts</a><h2>Why isn't NAVIC working for standalone navigation now?</h2>Standalone positioning allows a navigation system to determine a user's location using only its own satellites, without relying on other global satellite navigation systems such as GPS.However, NavIC currently lacks the minimum number of satellites required to provide that service."To provide basic positioning service, a minimum of four operational satellites are required in orbit. Hence, the NavIC constellation cannot provide standalone positioning service; however, timing service is functional," Singh said.While location services have been affected, NavIC's timing service continues to operate normally, according to the government.<h2>No operational risk, says Centre</h2>Despite the reduced constellation, the government said users are not facing operational vulnerabilities because NavIC is now used alongside other global satellite navigation systems in a multi-constellation Global Navigation Satellite System (GNSS) environment.This allows receivers to combine signals from GPS, Galileo, GLONASS and NavIC for navigation.The government also said the Armed Forces use multi-constellation GNSS, including NavIC, to meet operational requirements.<h2>So, is NAVIC useless now?</h2>No, to restore the constellation, ISRO has lined up a series of replacement satellites. The minister revealed that NVS-03 is ready for launch, while NVS-04 and NVS-05 are in advanced stages of development.The upcoming missions are expected to restore NavIC's standalone navigation capability and strengthen India's second-generation regional navigation network.Also read | <a href="https://www.wionews.com/india-news/anthropic-reveals-india-is-claude-ai-s-no-2-market-but-what-are-indians-actually-using-the-ai-for-wion-decodes-1785394109668">Anthropic reveals India is Claude AI's No. 2 market. But what are Indians actually using the AI for? | WION Decodes</a><h2>ISRO's recent setbacks</h2>The latest update comes as ISRO works to expand and modernise NavIC after facing setbacks in recent years. The space agency successfully launched NVS-01 in 2023 as part of the second-generation NavIC constellation.However, the subsequent NVS-02 mission encountered propulsion-related issues that prevented the satellite from reaching its intended operational orbit.Once the planned satellites are launched and commissioned, ISRO expects to rebuild the constellation and improve the reliability of NavIC, which provides positioning, navigation and precise timing services across India and regions extending roughly 1,500 kilometres beyond its borders.

The Indian government has informed Parliament that the country's indigenous navigation system, NavIC, can no longer provide standalone positioning services. Here's all you need to know.

India's indigenous satellite navigation system NavIC is currently unable to provide standalone positioning services, the central government told the Parliament on Wednesday. This is because the number of operational navigation satellites has now fallen below the minimum required. In a written reply in the Lok Sabha, Union Minister of State for Space Dr Jitendra Singh said only three satellites in the NavIC constellation are presently capable of providing Positioning, Navigation and Timing (PNT) services. The operational satellites are IRNSS-1B, IRNSS-1I and NVS-01, following the completion of the 10-year mission life of IRNSS-1F. Also read | Assam flood toll reaches 78 after fresh deaths in Sivasagar, Golaghat; over 3 lakh people affected across seven districts Why isn't NAVIC working for standalone navigation now? Standalone positioning allows a navigation system to determine a user's location using only its own satellites, without relying on other global satellite navigation systems such as GPS. However, NavIC currently lacks the minimum number of satellites required to provide that service. "To provide basic positioning service, a minimum of four operational satellites are required in orbit. Hence, the NavIC constellation cannot provide standalone positioning service; however, timing service is functional," Singh said. While location services have been affected, NavIC's timing service continues to operate normally, according to the government. No operational risk, says Centre Despite the reduced constellation, the government said users are not facing operational vulnerabilities because NavIC is now used alongside other global satellite navigation systems in a multi-constellation Global Navigation Satellite System (GNSS) environment. This allows receivers to combine signals from GPS, Galileo, GLONASS and NavIC for navigation. The government also said the Armed Forces use multi-constellation GNSS, including NavIC, to meet operational requirements. So, is NAVIC useless now? No, to restore the constellation, ISRO has lined up a series of replacement satellites. The minister revealed that NVS-03 is ready for launch, while NVS-04 and NVS-05 are in advanced stages of development. The upcoming missions are expected to restore NavIC's standalone navigation capability and strengthen India's second-generation regional navigation network. Also read | Anthropic reveals India is Claude AI's No. 2 market. But what are Indians actually using the AI for? | WION Decodes ISRO's recent setbacks The latest update comes as ISRO works to expand and modernise NavIC after facing setbacks in recent years. The space agency successfully launched NVS-01 in 2023 as part of the second-generation NavIC constellation. However, the subsequent NVS-02 mission encountered propulsion-related issues that prevented the satellite from reaching its intended operational orbit. Once the planned satellites are launched and commissioned, ISRO expects to rebuild the constellation and improve the reliability of NavIC, which provides positioning, navigation and precise timing services across India and regions extending roughly 1,500 kilometres beyond its borders.

The Indian government has informed Parliament that the country's indigenous navigation system, NavIC, can no longer provide standalone positioning services. Here's all you need to know.

India's GPS has a satellite problem: Government says NavIC no longer working. All you need to know

Anthropic, the tech firm behind Claude AI, has revealed that India has quietly become one of the world's biggest AI users. India, according to Anthropic's latest Economic Index, which analysed nearly one million Claude.ai conversations globally, India now accounts for 5.8 per cent of all Claude usage, second only to the United States.But what are they using the AI for? Indians aren't asking AI to write poems or plan holidays. They're asking it to write code, solve complex problems and save hours of work.<h2>How many Indians are using the technology?</h2>India may be the world's second-largest Claude market, yet the average Indian still isn't using AI very much. Instead, usage is heavily concentrated among software professionals in a handful of technology hubs.The report offers one of the clearest snapshots yet of who is using AI in India, what they're asking it to do, and why India's AI story looks very different from the rest of the world.Also read | <a href="https://www.wionews.com/technology/india-s-next-terror-threat-may-not-cross-the-border-it-may-enter-through-your-phone-wion-decodes-1784346117443">India's next terror threat may not cross the border. It may enter through your phone | WION Decodes</a>

Top 20 countries by share of global Claude.ai use. Bars show each country’s share of total conversations observed Novemb

<h2>India is No. 2 globally... but 101st per person</h2>This is perhaps the report's biggest surprise. India contributes 5.8 per cent of all Claude conversations globally, yet when adjusted for population, India falls to 101st out of 116 countries.That means India's AI boom isn't being driven by widespread adoption. It's being driven by scale. What it means is that India isn't yet an AI-first society. It's an AI-heavy professional economy. So, which states are using AI the most?<h2>Four states dominate India's AI use</h2>AI adoption isn't spread evenly across the country. More than half of India's Claude usage comes from just four places:Maharashtra (15.5 per cent) Tamil Nadu (13.2 per cent) Karnataka (12.7 per cent) Delhi (10.5 per cent)These are also India's biggest IT and services hubs, home to cities such as Bengaluru, Chennai, Mumbai and Delhi NCR.The geography tells its own story. Rather than becoming a mass consumer technology, AI today appears to be an extension of India's existing software industry.<h2>So what are Indians actually asking AI to do?</h2>While AIs like Elon Musk's Grok have dominated headlines for its use to create nude, stripped-down images of young girls and women, Indians aren't using Claude AI for something that nefarious. Indians are overwhelmingly using the AI to write software.Also read | <a href="https://www.wionews.com/world/elon-musk-s-xai-sues-minnesota-over-a-law-banning-ai-nude-images-of-children-claims-it-violates-free-speech-1785377389876">Elon Musk's xAI sues Minnesota over a law banning AI nude images of children, claims it violates free speech</a>According to Anthropic, 45.2 per cent of all AI-related occupational tasks in India are software-related. That's the highest share anywhere in the world.India even ranks ahead of Vietnam and Egypt in the proportion of AI use devoted to programming and software engineering.Education is the second major use case, with students increasingly relying on AI for learning, explanations and coursework. By contrast, relatively fewer Indians use Claude for casual or personal purposes compared with the global average.

Most common O*NET (Occupational Information Network) tasks among Claude use in India.

<h2>AI is saving Indians nearly four hours of work</h2>One statistic stands out above almost every other. The average task Indian users give Claude would normally take 3.8 hours to complete.With AI? The task just takes 14.8 minutes. That's roughly a 15-fold productivity boost. Globally, the average improvement is around 12 times faster.This suggests Indian users aren't giving AI simple jobs. They're bringing complex, time-consuming work and using AI to compress hours into minutes.<h2>Indians trust AI more than the rest of the world</h2>The report also found Indian users are more willing to let AI make decisions on their behalf.Anthropic measures something it calls AI autonomy, essentially how much responsibility users hand over to the model. India scored 3.60 out of 5, compared with the global average of 3.38.In practical terms, that means Indian users are more likely to ask AI to independently generate code, solve problems or complete substantial portions of work, rather than simply acting as an assistant.Also read | <a href="https://www.wionews.com/technology/scary-rogue-ai-on-the-loose-openai-agent-hit-another-tech-firm-s-customer-suggests-report-1785292505727">'Scary' Rogue AI on the loose? OpenAI agent hit another tech firm's customer, suggests report</a><h2>Many Indians are using AI for things they couldn't do themselves</h2>Another revealing finding concerns human capability. Globally, nearly 88 per cent of AI tasks could theoretically have been completed by the user without AI. In India, that figure drops to 84.6 per cent.It may sound like a small difference, but it suggests Indian users are more frequently turning to AI for genuinely difficult tasks, including programming in unfamiliar languages, solving technical problems or tackling work beyond their existing expertise.In other words, in India, AI isn't just replacing effort. It's expanding capability.<h2>Good prompts really do matter</h2>One of the report's most interesting observations concerns prompting. Anthropic found a strong relationship between the sophistication of a user's prompt and the quality of the AI's response.Indian users ranked among the top 10 per cent globally in the complexity of AI-generated outputs they received.That doesn't necessarily mean Indians are better prompt engineers. But it does suggest many are asking AI sophisticated, work-oriented questions that produce equally sophisticated answers.

Anthropic's latest Economic Index has found that India accounts for 5.8% of global Claude AI usage—second only to the US. But what are they using it for? The answer may surprise you.

Anthropic, the tech firm behind Claude AI, has revealed that India has quietly become one of the world's biggest AI users. India, according to Anthropic's latest Economic Index, which analysed nearly one million Claude.ai conversations globally, India now accounts for 5.8 per cent of all Claude usage, second only to the United States. But what are they using the AI for? Indians aren't asking AI to write poems or plan holidays. They're asking it to write code, solve complex problems and save hours of work. How many Indians are using the technology? India may be the world's second-largest Claude market, yet the average Indian still isn't using AI very much. Instead, usage is heavily concentrated among software professionals in a handful of technology hubs. The report offers one of the clearest snapshots yet of who is using AI in India, what they're asking it to do, and why India's AI story looks very different from the rest of the world. Also read | India's next terror threat may not cross the border. It may enter through your phone | WION Decodes

Anthropic's latest Economic Index has found that India accounts for 5.8% of global Claude AI usage—second only to the US. But what are they using it for? The answer may surprise you.

Anthropic reveals India is Claude AI's No. 2 market. But what are Indians actually using the AI for? | WION Decodes

Routine and repetitive jobs across financial services, retail trade, healthcare and education are expected to face the highest disruption from generative artificial intelligence (Gen-AI). Meanwhile, professionals with skills in AI sectors are more likely to have a greater advantage in work in these sectors rather than replace them, according to a Goldman Sachs report. The report indicated that the impact of Gen-AI will differ across occupations depending on the complexity of the task, with lower-difficulty and same activities continuing to have a higher likelihood of automation. It stated, "Skilled-service sectors appear better placed for AI complementarity, while routine service sectors face higher substitution risk note where is tech services sector". In the financial services sector, the report also confirmed that Gen-AI can enhance the roles of analysts by automating some basic modelling work, classified as difficulty level 3. However, it is more expected to completely replace routine back-office activities, including basic compliance checks, which fall under difficulty level 1. The report also confirmed that financial services consist of nearly 6 per cent of total employment, excluding agriculture. The report categorises tasks by complexity level, where lower levels represent routine, repetitive work that's more vulnerable to Gen-AI automation, while higher levels reflect more sophisticated tasks that AI is likely to support rather than take over entirely.<h3>Self-checkout technology</h3>As a result, level 1 tasks carry the greatest risk of being replaced, while tasks at higher difficulty levels are expected to continue relying heavily on human input, with AI serving as a supporting tool. Within retail trade, Gen-AI is anticipated to assist sales personnel with functions like inventory management, spanning difficulty levels 2 through 4, while simultaneously replacing cashier positions through self-checkout technology, a level 1 task already being adopted in some settings. The report notes that retail trade makes up roughly 20 per cent of total non-agricultural employment, making it one of the workforce's largest sectors. Regarding the healthcare sector, Goldman Sachs suggests Gen-AI is more likely to support doctors in diagnostics and treatment planning, putting in a level 6, rather than replacing them. However, more routine administrative work like scheduling appointments (level 2) faces a higher chance of automation. Healthcare represents about 3 per cent of non-agricultural employment. In education, the report indicates Gen-AI can enhance tutoring through personalised learning tools, covering difficulty levels 3 and 4. Conversely, repetitive tasks like grading standardised assessments or multiple-choice tests (level 1) are more susceptible to automation. Education accounts for approximately 6 per cent of total non-agricultural employment.&nbsp;

Goldman Sachs suggests Gen-AI is more likely to support doctors in diagnostics and treatment planning, putting in a level 6, rather than replacing them. However, more routine administrative work like scheduling appointments (level 2) faces a higher chance of automation.

Routine and repetitive jobs across financial services, retail trade, healthcare and education are expected to face the highest disruption from generative artificial intelligence (Gen-AI). Meanwhile, professionals with skills in AI sectors are more likely to have a greater advantage in work in these sectors rather than replace them, according to a Goldman Sachs report. The report indicated that the impact of Gen-AI will differ across occupations depending on the complexity of the task, with lower-difficulty and same activities continuing to have a higher likelihood of automation. It stated, "Skilled-service sectors appear better placed for AI complementarity, while routine service sectors face higher substitution risk note where is tech services sector". In the financial services sector, the report also confirmed that Gen-AI can enhance the roles of analysts by automating some basic modelling work, classified as difficulty level 3. However, it is more expected to completely replace routine back-office activities, including basic compliance checks, which fall under difficulty level 1. The report also confirmed that financial services consist of nearly 6 per cent of total employment, excluding agriculture. The report categorises tasks by complexity level, where lower levels represent routine, repetitive work that's more vulnerable to Gen-AI automation, while higher levels reflect more sophisticated tasks that AI is likely to support rather than take over entirely. Self-checkout technology As a result, level 1 tasks carry the greatest risk of being replaced, while tasks at higher difficulty levels are expected to continue relying heavily on human input, with AI serving as a supporting tool. Within retail trade, Gen-AI is anticipated to assist sales personnel with functions like inventory management, spanning difficulty levels 2 through 4, while simultaneously replacing cashier positions through self-checkout technology, a level 1 task already being adopted in some settings. The report notes that retail trade makes up roughly 20 per cent of total non-agricultural employment, making it one of the workforce's largest sectors. Regarding the healthcare sector, Goldman Sachs suggests Gen-AI is more likely to support doctors in diagnostics and treatment planning, putting in a level 6, rather than replacing them. However, more routine administrative work like scheduling appointments (level 2) faces a higher chance of automation. Healthcare represents about 3 per cent of non-agricultural employment. In education, the report indicates Gen-AI can enhance tutoring through personalised learning tools, covering difficulty levels 3 and 4. Conversely, repetitive tasks like grading standardised assessments or multiple-choice tests (level 1) are more susceptible to automation. Education accounts for approximately 6 per cent of total non-agricultural employment.

Goldman Sachs suggests Gen-AI is more likely to support doctors in diagnostics and treatment planning, putting in a level 6, rather than replacing them. However, more routine administrative work like scheduling appointments (level 2) faces a higher chance of automation.

Routine jobs in retail, healthcare, education most at risk from gen-AI: Goldman Sachs

Elon Musk's artificial intelligence company xAI has filed a lawsuit against the US state of Minnesota over a first-in-the-nation law that bans AI "nudification" technology on websites and apps. The lawsuit, filed in federal court on Monday, comes just days before the Minnesota law is scheduled to take effect on August 1. The legislation, signed into law in May, makes Minnesota the first US state to directly target AI tools capable of generating fake nude images of real people.Also read | <a href="https://www.wionews.com/trending/elon-musk-asks-users-if-they-can-break-grok-ai-moderation-x-responds-by-putting-him-in-bikinis-and-more-1768467434756">Elon Musk asks internet to test Grok's moderation, X chooses violence — and bikinis</a><h2>What does xAI have against the law preventing non-consensual 'nudification' of young girls?</h2>In its 38-page complaint, xAI argued that while it supports efforts to curb the non-consensual distribution of AI-generated nude images, Minnesota's law goes much further than necessary.The company contends the law could ban constitutionally protected images and videos and expose AI developers to penalties of up to $500,000 per violation. According to the lawsuit, the legislation lacks a "safe harbour" provision that would protect companies making good-faith efforts to prevent misuse of their AI tools.It also argues the law could apply to images created with the consent of the person depicted, or even images generated by the individual themselves. xAI further claims the law's definition of "intimate part" is overly broad, potentially covering body parts commonly visible in public.<h2>Minnesota slams ‘appalling’ use of tech</h2>Minnesota Attorney General Keith Ellison said his office had not yet been served with the lawsuit but defended the legislation. "Using AI to generate nude images of people against their will is appalling," Ellison said in a statement.“There are plenty of worthy debates to have about AI policy. This is not one of them. AI nudification robs the target of their dignity and can cause immense harm on an emotional, personal and professional level.”Unlike most state and federal deepfake laws, which punish people who create or distribute non-consensual explicit images, Minnesota's law places legal responsibility on companies that provide the AI tools themselves.<h2>xAI points to existing safeguards</h2>The company said its AI chatbot and image generator Grok, available through X and other platforms, already prohibits users from creating non-consensual nude or sexually explicit images. According to xAI, users who violate those rules can face account suspension or termination, while suspected child sexual abuse material is reported to authorities.Notably, in December 2025, <a href="https://www.wionews.com/trending/elon-musk-pokes-fun-at-x-s-exploitative-bikini-trend-even-as-grok-ai-says-deeply-regret-creating-sexualised-images-of-a-12-year-old-girl-1767417683927">Grok apologised for “depicting minors in minimal clothing”</a> after uproar over an “AI image of two young girls (estimated ages 12-16) in sexualized attire based on a user’s prompt”.Also read | <a href="https://www.wionews.com/trending/elon-musk-pokes-fun-at-x-s-exploitative-bikini-trend-even-as-grok-ai-says-deeply-regret-creating-sexualised-images-of-a-12-year-old-girl-1767417683927">Musk pokes fun at X's exploitative 'bikini' trend, even as Grok AI says 'deeply regret' creating sexualised images of a 12YO girl</a>Earlier this year, the company also announced a "zero tolerance" policy toward child sexual exploitation, non-consensual nudity and unwanted sexual content. Following global criticism over sexually explicit AI-generated images, xAI said in January it introduced geo-blocking measures to prevent users in jurisdictions where such content is illegal from editing images of real people wearing revealing clothing. &nbsp;

Elon Musk's xAI has sued Minnesota over a first-in-the-nation law targeting AI nudification tools, arguing the legislation is overly broad, threatens constitutionally protected content and unfairly holds AI developers liable. All you need to know.

Elon Musk's artificial intelligence company xAI has filed a lawsuit against the US state of Minnesota over a first-in-the-nation law that bans AI "nudification" technology on websites and apps. The lawsuit, filed in federal court on Monday, comes just days before the Minnesota law is scheduled to take effect on August 1. The legislation, signed into law in May, makes Minnesota the first US state to directly target AI tools capable of generating fake nude images of real people. Also read | Elon Musk asks internet to test Grok's moderation, X chooses violence — and bikinis What does xAI have against the law preventing non-consensual 'nudification' of young girls? In its 38-page complaint, xAI argued that while it supports efforts to curb the non-consensual distribution of AI-generated nude images, Minnesota's law goes much further than necessary. The company contends the law could ban constitutionally protected images and videos and expose AI developers to penalties of up to $500,000 per violation. According to the lawsuit, the legislation lacks a "safe harbour" provision that would protect companies making good-faith efforts to prevent misuse of their AI tools. It also argues the law could apply to images created with the consent of the person depicted, or even images generated by the individual themselves. xAI further claims the law's definition of "intimate part" is overly broad, potentially covering body parts commonly visible in public. Minnesota slams ‘appalling’ use of tech Minnesota Attorney General Keith Ellison said his office had not yet been served with the lawsuit but defended the legislation. "Using AI to generate nude images of people against their will is appalling," Ellison said in a statement. “There are plenty of worthy debates to have about AI policy. This is not one of them. AI nudification robs the target of their dignity and can cause immense harm on an emotional, personal and professional level.” Unlike most state and federal deepfake laws, which punish people who create or distribute non-consensual explicit images, Minnesota's law places legal responsibility on companies that provide the AI tools themselves. xAI points to existing safeguards The company said its AI chatbot and image generator Grok, available through X and other platforms, already prohibits users from creating non-consensual nude or sexually explicit images. According to xAI, users who violate those rules can face account suspension or termination, while suspected child sexual abuse material is reported to authorities. Notably, in December 2025, Grok apologised for “depicting minors in minimal clothing” after uproar over an “AI image of two young girls (estimated ages 12-16) in sexualized attire based on a user’s prompt”. Also read | Musk pokes fun at X's exploitative 'bikini' trend, even as Grok AI says 'deeply regret' creating sexualised images of a 12YO girl Earlier this year, the company also announced a "zero tolerance" policy toward child sexual exploitation, non-consensual nudity and unwanted sexual content. Following global criticism over sexually explicit AI-generated images, xAI said in January it introduced geo-blocking measures to prevent users in jurisdictions where such content is illegal from editing images of real people wearing revealing clothing.

Elon Musk's xAI has sued Minnesota over a first-in-the-nation law targeting AI nudification tools, arguing the legislation is overly broad, threatens constitutionally protected content and unfairly holds AI developers liable. All you need to know.

Elon Musk's xAI sues Minnesota over a law banning AI nude images of children, claims it violates free speech

Anthropic's AI chatbot Claude is experiencing a service disruption, with users reporting that they are unable to send prompts or receive responses across multiple AI models.The company has now identified the cause of the issue and says it is working to restore normal service. According to Anthropic's official status page, the outage is causing elevated errors across multiple models, affecting both Claude users and developers relying on its APIs.<img src="https://cdn1.wionews.com/prod/wion/images/2026/20260730/image-1785357717658.png">

<h2>What is happening?</h2>According to Anthropic's <a href="https://status.claude.com/">status page</a>

The company has now identified the cause of the issue and says it is working to restore normal service. The outage is causing elevated errors across multiple models, affecting both Claude users and developers relying on its APIs.<h2>Which services are affected?</h2>Claude powers a growing ecosystem that includes the Claude web app, enterprise products and APIs used by developers to build AI-powered applications.When outages occur, the impact can extend beyond individual users. Software developers, businesses and organisations integrating Claude into their products may also experience interruptions until services recover. Anthropic's status history shows that the company has dealt with several service incidents in recent months, including elevated error rates affecting multiple Claude models. Most of those disruptions were resolved within hours after engineers implemented fixes.Claude has become one of the world's leading AI assistants and is widely used for coding, writing, research and enterprise automation.As businesses increasingly depend on AI for day-to-day operations, even short outages can interrupt workflows, delay software development and reduce productivity. For now, users experiencing problems should monitor Anthropic's official status page for updates rather than repeatedly refreshing sessions, as service recovery is being handled on the provider's side. Once the issue is resolved, access is expected to return automatically.

Anthropic has confirmed a Claude outage affecting users across its AI services. The company says it is investigating the disruption, which has caused failed requests and interrupted access to the chatbot and developer tools, with updates expected on its status page.

Anthropic's AI chatbot Claude is experiencing a service disruption, with users reporting that they are unable to send prompts or receive responses across multiple AI models. The company has now identified the cause of the issue and says it is working to restore normal service. According to Anthropic's official status page, the outage is causing elevated errors across multiple models, affecting both Claude users and developers relying on its APIs.

Anthropic has confirmed a Claude outage affecting users across its AI services. The company says it is investigating the disruption, which has caused failed requests and interrupted access to the chatbot and developer tools, with updates expected on its status page.

Claude AI down? Anthropic confirms outage as users face errors across chatbot and API

technology

Technology, News on Technology, stories on Technology, articles on Technology, Technology stories at Wion, Technology news, Technology latest news

technology

Unlimited leave policies fail: Why flexible workplaces need human accountability

AI kill switch? What White House meeting, legislation talk, pre-testing mean

Unlimited leave, zero stress: How an 'AI manager' cost this startup Rs 6 million

What did Indian Parliament panel ask Meta? Modi video to algorithm bias and more

How India's education audiovisual (AV) market is entering new growth phase?

Google launches Gemini Spark in India with always-on AI agent capabilities

Google teases next-generation Pixel 11 Pro with AI, RGB light and new colours

China used OpenAI and Anthropic outputs to train military AI systems: Report

‘Satanic’ chainsaw-wielding rescue bot leaves internet divided

Google accidentally creates AI's next misinformation nightmare: Details inside

Tesla may sell its China business as Elon Musk explores SpaceX merger: Report

Siri AI may not be completely free: Apple considers premium iCloud+ tier

iPhone 18 Pro could be Apple's biggest price jump in years, says new leak

ByteDance unveils Seedance 2.5 to take on OpenAI, Google and Kling in AI video race

Google's Gemini Robotics 2 gives humanoid robots a smarter AI brain

Can AI replace traditional coaching notes for UPSC and NEET aspirants?

'Brilliant!': Sitharaman hails India's first flight-proven satellite battery

Anthropic's Claude AI goes rogue, gains unauthorised 'real-world' access

Microsoft's next AI move: Satya Nadella says a Copilot 'super app' is coming

How should UPI apps balance privacy, fraud detection & law enforcement access?

100,000 scientists to get free access to OpenAI's frontier AI models

Government admits India's own GPS NavIC isn't working fully. Here's why

India is Claude AI's No. 2 market. But what are Indians actually using it for?

Routine jobs in retail, healthcare, education most at risk from gen-AI: Reports

Musk's xAI sues Minnesota over AI nudification law, says it violates free speech

Anthropic's Claude suffers outage, users report errors and failed responses