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An American scientist convicted in the United States for lying about financial ties to China has resurfaced in Shenzhen, where he is now leading advanced research in brain-computer interfaces, a field seen as both medically transformative and strategically sensitive. Charles Lieber, 67, previously a Harvard University professor, was convicted in 2021 of making false statements to US authorities regarding payments linked to Chinese institutions, as well as tax-related offenses. He served a short prison term, followed by house arrest, and was fined.&nbsp;Now based in Shenzhen, Lieber is overseeing a state-backed research initiative focused on embedding electronics into the human brain. The project operates under China’s growing push in neurotechnology and artificial intelligence. “I arrived on April 28, 2025, with a dream and not much more, maybe a couple of bags of clothes,” Lieber said at a Shenzhen conference. “Personally, my own goals are to make Shenzhen a world leader.”&nbsp;Also Read: <a href="https://www.wionews.com/world/at-least-6-injured-after-stabbing-at-foss-high-school-in-tacoma-washington-1777585304018">At least 6 injured after stabbing at Foss High School in Tacoma, Washington</a>&nbsp;The lab, known as i-BRAIN under the Shenzhen Medical Academy of Research and Translation (SMART), is part of a broader ecosystem funded by billions in government investment. It is designed to accelerate research in neural interfaces, which can potentially restore movement in paralyzed patients but also raise military concerns. Analysts say that similar technologies have been studied for defense purposes, including potential applications in enhancing cognitive performance and battlefield awareness. One former US intelligence official said, “China has weaponized against us our own openness and our own efforts for innovation.”&nbsp;The facility reportedly provides Lieber access to advanced semiconductor equipment and large-scale primate research infrastructure, resources far more extensive than those available in US university labs. Researchers say primate testing is often essential before human trials in brain-computer interface development. “With so many hassles with non-human primate research here, to have somebody give you all this support, access to technology, a concentrated center, a national initiative, those are things that are very attractive,” neuroscientist John Donoghue was quoted as saying.&nbsp;<a href="https://www.wionews.com/videos/russia-ukraine-war-ukraine-strikes-russia-s-energy-backbone-with-drones-1777572880405/embed">https://www.wionews.com/videos/russia-ukraine-war-ukraine-strikes-russia-s-energy-backbone-with-drones-1777572880405/embed</a>&nbsp;SMART and i-BRAIN are part of China’s broader effort to become a global leader in neurotechnology, which has been designated a national strategic priority. The situation has renewed debate in Washington over scientific openness, technology transfer, and national security risks tied to advanced research moving between the US and China.

Convicted ex-Harvard scientist Charles Lieber is now leading brain-computer interface research in China, raising concerns over tech transfer and US security

An American scientist convicted in the United States for lying about financial ties to China has resurfaced in Shenzhen, where he is now leading advanced research in brain-computer interfaces, a field seen as both medically transformative and strategically sensitive. Charles Lieber, 67, previously a Harvard University professor, was convicted in 2021 of making false statements to US authorities regarding payments linked to Chinese institutions, as well as tax-related offenses. He served a short prison term, followed by house arrest, and was fined. Now based in Shenzhen, Lieber is overseeing a state-backed research initiative focused on embedding electronics into the human brain. The project operates under China’s growing push in neurotechnology and artificial intelligence. “I arrived on April 28, 2025, with a dream and not much more, maybe a couple of bags of clothes,” Lieber said at a Shenzhen conference. “Personally, my own goals are to make Shenzhen a world leader.” Also Read: At least 6 injured after stabbing at Foss High School in Tacoma, Washington The lab, known as i-BRAIN under the Shenzhen Medical Academy of Research and Translation (SMART), is part of a broader ecosystem funded by billions in government investment. It is designed to accelerate research in neural interfaces, which can potentially restore movement in paralyzed patients but also raise military concerns. Analysts say that similar technologies have been studied for defense purposes, including potential applications in enhancing cognitive performance and battlefield awareness. One former US intelligence official said, “China has weaponized against us our own openness and our own efforts for innovation.” The facility reportedly provides Lieber access to advanced semiconductor equipment and large-scale primate research infrastructure, resources far more extensive than those available in US university labs. Researchers say primate testing is often essential before human trials in brain-computer interface development. “With so many hassles with non-human primate research here, to have somebody give you all this support, access to technology, a concentrated center, a national initiative, those are things that are very attractive,” neuroscientist John Donoghue was quoted as saying. https://www.wionews.com/videos/russia-ukraine-war-ukraine-strikes-russia-s-energy-backbone-with-drones-1777572880405/embed SMART and i-BRAIN are part of China’s broader effort to become a global leader in neurotechnology, which has been designated a national strategic priority. The situation has renewed debate in Washington over scientific openness, technology transfer, and national security risks tied to advanced research moving between the US and China.

Convicted Harvard scientist Charles Lieber resurfaces in China, leading brain-computer research, raising US security concerns over advanced tech transfer

Convicted ex-Harvard scientist, Charles Lieber, now leads China's brain-computer interface lab in Shenzhen

Global tech firms Amazon and Meta are preparing to raise concerns about India’s digital payments market, where PhonePe and Google Pay continue to dominate. Executives from several platforms are expected to meet the National Payments Corporation of India (NPCI), which manages the Unified Payments Interface, one of the world’s largest instant payment systems.&nbsp;<h2>Why are companies raising concerns?</h2>The meeting comes as smaller players struggle to compete in a market largely controlled by two apps.According to NPCI data:PhonePe and Google Pay together handled around 80 per cent of UPI transactionsThe network processed 22.6 billion transactions in March aloneThis gap has raised concerns among companies like Amazon Pay, WhatsApp Pay, CRED and MobiKwik about limited growth opportunities in the current system.<h2>What Amazon, Meta and others want</h2>Companies attending the meeting are expected to push for changes in how the UPI ecosystem operates.Key concerns include:User onboarding practices by dominant appsUse of contact data for expanding user baseAccess to features like autopay and payment mandatesThey are also likely to request:Fair access to platform featuresIncentives for smaller playersRegulatory support to improve competitionThe goal is to create a more balanced system where newer or smaller apps can grow.<h2>Delay in market share cap adds to debate</h2>India had earlier proposed a rule to limit any single UPI app’s market share to 30%.However, this rule has been delayed until December 31, 2026, allowing dominant players to continue expanding.This delay has made it harder for smaller platforms to gain market share, as the gap continues to widen.Scale advantage of PhonePe and Google PayPhonePe has reported:Over 700 million registered usersAround 50 million merchantsIts services are available across more than 98% of India’s postal codes, showing its wide reach.Such scale makes it difficult for competitors to match user base and merchant networks.<h2>Regulatory challenge for NPCI</h2>The National Payments Corporation of India faces a complex task.It needs to:Maintain smooth services for millions of usersAddress concerns about market concentrationEnsure fair competition without disrupting the systemThe organisation operates under the supervision of the Reserve Bank of India.<h2>What happens next?</h2>It is not yet clear whether the meeting will lead to immediate changes.However, the discussions highlight a key issue in India’s digital economy how to balance innovation, scale and fair competition in a system used by hundreds of millions of people. As the UPI ecosystem continues to grow, decisions taken now could shape the future of digital payments in India.&nbsp;

Global tech firms Amazon and Meta are preparing to raise concerns about India’s digital payments market, where PhonePe and Google Pay continue to dominate. Executives from several platforms are expected to meet the National Payments Corporation of India (NPCI).

Global tech firms Amazon and Meta are preparing to raise concerns about India’s digital payments market, where PhonePe and Google Pay continue to dominate. Executives from several platforms are expected to meet the National Payments Corporation of India (NPCI), which manages the Unified Payments Interface, one of the world’s largest instant payment systems. Why are companies raising concerns? The meeting comes as smaller players struggle to compete in a market largely controlled by two apps. According to NPCI data: PhonePe and Google Pay together handled around 80 per cent of UPI transactions The network processed 22.6 billion transactions in March alone This gap has raised concerns among companies like Amazon Pay, WhatsApp Pay, CRED and MobiKwik about limited growth opportunities in the current system. What Amazon, Meta and others want Companies attending the meeting are expected to push for changes in how the UPI ecosystem operates. Key concerns include: User onboarding practices by dominant apps Use of contact data for expanding user base Access to features like autopay and payment mandates They are also likely to request: Fair access to platform features Incentives for smaller players Regulatory support to improve competition The goal is to create a more balanced system where newer or smaller apps can grow. Delay in market share cap adds to debate India had earlier proposed a rule to limit any single UPI app’s market share to 30%. However, this rule has been delayed until December 31, 2026, allowing dominant players to continue expanding. This delay has made it harder for smaller platforms to gain market share, as the gap continues to widen. Scale advantage of PhonePe and Google Pay PhonePe has reported: Over 700 million registered users Around 50 million merchants Its services are available across more than 98% of India’s postal codes, showing its wide reach. Such scale makes it difficult for competitors to match user base and merchant networks. Regulatory challenge for NPCI The National Payments Corporation of India faces a complex task. It needs to: Maintain smooth services for millions of users Address concerns about market concentration Ensure fair competition without disrupting the system The organisation operates under the supervision of the Reserve Bank of India. What happens next? It is not yet clear whether the meeting will lead to immediate changes. However, the discussions highlight a key issue in India’s digital economy how to balance innovation, scale and fair competition in a system used by hundreds of millions of people. As the UPI ecosystem continues to grow, decisions taken now could shape the future of digital payments in India.

Global tech firms Amazon and Meta are preparing to raise concerns about India’s digital payments market, where PhonePe and Google Pay continue to dominate. Executives from several platforms are expected to meet the National Payments Corporation of India (NPCI).

‘80% market share’: Why rivals are raising concerns over PhonePe, Google Pay

A tense moment unfolded in a California federal court as Elon Musk accused a lawyer representing Sam Altman of trying to mislead him during cross-examination.The exchange took place during an ongoing trial involving OpenAI, where Musk has filed a lawsuit over the company’s shift from a non-profit mission to a for-profit structure.&nbsp;<h2>What happened in the courtroom</h2>During questioning, lawyer William Savitt asked Musk about the tax benefits linked to his $38 million donation to OpenAI. Savitt described his questions as simple, but Musk disagreed.“Your questions are not simple. They are designed to trick me,” Musk told the court, speaking before a nine-member jury.The exchange became increasingly tense, with both sides interrupting each other as they tried to present their arguments.&nbsp;<h2>What is the dispute about?</h2>Musk’s lawsuit focuses on OpenAI’s original mission.He claims that:OpenAI was meant to operate as a non-profit organisationThe company later shifted towards a for-profit model in 2019This change, according to him, benefited its leadershipMusk has also accused the company of breach of trust and unjust enrichment.He is seeking $150 billion in damages, with any compensation intended for OpenAI’s charitable arm.&nbsp;OpenAI’s response to Musk’s claimsOpenAI has rejected Musk’s allegations.The company argues that:Musk supported the idea of a for-profit structure in earlier discussionsHe wanted a larger role in leading the companyHis current actions may be linked to competition with his AI venture, xAIOpenAI has said the shift to a for-profit model was necessary to:Attract investmentBuild computing infrastructureHire skilled researchers<h2>Key evidence presented in court</h2>During the trial, several emails and messages were shown to the jury.These included:A 2015 email where Musk discussed a possible for-profit structureA 2017 email where Musk called himself a “fool” for funding what he believed was a non-profit. Messages exchanged after Microsoft’s investment in OpenAIMusk described the investment move as a “bait and switch” and said an offer to let him invest felt like a “bribe”.&nbsp;From partnership to legal battleMusk, Altman and Greg Brockman were part of the founding team of OpenAI in 2015.Musk later left the company in 2018. Since then, the relationship between the founders has changed significantly.Today, the case reflects a wider disagreement over:&nbsp;The direction of AI developmentThe role of private investmentControl over advanced technologies<h2>Why this case matters</h2>The trial is not just about a dispute between individuals. It raises broader questions about how AI companies should operate.At the centre is a key issue:Should advanced AI be developed as a public good?Or should companies adopt commercial models to scale faster?The outcome of the case could influence how AI organisations are structured in the future.<h2>What happens next?</h2>The trial is ongoing, with more witnesses and arguments expected in the coming days.The court will examine:OpenAI’s structure and funding modelInternal communications between foundersWhether the company followed its original mission For now, Musk’s testimony and the courtroom exchanges highlight how complex and high-stakes the debate around AI governance has become&nbsp;

A tense exchange unfolded in a California federal court as Elon Musk accused a lawyer representing Sam Altman of trying to mislead him during cross-examination. The clash is part of Musk’s high-stakes lawsuit against OpenAI over its shift from a non-profit mission to a for-profit structure.

A tense moment unfolded in a California federal court as Elon Musk accused a lawyer representing Sam Altman of trying to mislead him during cross-examination. The exchange took place during an ongoing trial involving OpenAI, where Musk has filed a lawsuit over the company’s shift from a non-profit mission to a for-profit structure. What happened in the courtroom During questioning, lawyer William Savitt asked Musk about the tax benefits linked to his $38 million donation to OpenAI. Savitt described his questions as simple, but Musk disagreed. “Your questions are not simple. They are designed to trick me,” Musk told the court, speaking before a nine-member jury. The exchange became increasingly tense, with both sides interrupting each other as they tried to present their arguments. What is the dispute about? Musk’s lawsuit focuses on OpenAI’s original mission. He claims that: OpenAI was meant to operate as a non-profit organisation The company later shifted towards a for-profit model in 2019 This change, according to him, benefited its leadership Musk has also accused the company of breach of trust and unjust enrichment. He is seeking $150 billion in damages, with any compensation intended for OpenAI’s charitable arm. OpenAI’s response to Musk’s claims OpenAI has rejected Musk’s allegations. The company argues that: Musk supported the idea of a for-profit structure in earlier discussions He wanted a larger role in leading the company His current actions may be linked to competition with his AI venture, xAI OpenAI has said the shift to a for-profit model was necessary to: Attract investment Build computing infrastructure Hire skilled researchers Key evidence presented in court During the trial, several emails and messages were shown to the jury. These included: A 2015 email where Musk discussed a possible for-profit structure A 2017 email where Musk called himself a “fool” for funding what he believed was a non-profit. Messages exchanged after Microsoft’s investment in OpenAI Musk described the investment move as a “bait and switch” and said an offer to let him invest felt like a “bribe”. From partnership to legal battle Musk, Altman and Greg Brockman were part of the founding team of OpenAI in 2015. Musk later left the company in 2018. Since then, the relationship between the founders has changed significantly. Today, the case reflects a wider disagreement over: The direction of AI development The role of private investment Control over advanced technologies Why this case matters The trial is not just about a dispute between individuals. It raises broader questions about how AI companies should operate. At the centre is a key issue: Should advanced AI be developed as a public good? Or should companies adopt commercial models to scale faster? The outcome of the case could influence how AI organisations are structured in the future. What happens next? The trial is ongoing, with more witnesses and arguments expected in the coming days. The court will examine: OpenAI’s structure and funding model Internal communications between founders Whether the company followed its original mission For now, Musk’s testimony and the courtroom exchanges highlight how complex and high-stakes the debate around AI governance has become

A tense exchange unfolded in a California federal court as Elon Musk accused a lawyer representing Sam Altman of trying to mislead him during cross-examination. The clash is part of Musk’s high-stakes lawsuit against OpenAI over its shift from a non-profit mission to a for-profit structure.

Elon Musk accuses OpenAI lawyer of ‘trying to trick me’ in court

Cyberattacks across the United Arab Emirates have increased sharply, with nearly 600,000 attempts recorded daily, according to the UAE Cyber Security Council. The rise comes amid ongoing regional tensions, with attack volumes tripling from around 200,000 per day before the conflict began. These attacks are targeting key sectors such as government systems, financial services, ports and utilities.&nbsp;<h2>Government systems and critical services affected</h2>Several major public institutions have been targeted in recent weeks.These include:Dubai Land Department Dubai Courts Department Road and Transport Authority Authorities have also reported attempted breaches on: Sharjah Electricity, Water and Gas Authority Ministry of Climate Change and EnvironmentAccording to reports, disruptions have led to temporary outages in legal and public service platforms, affecting daily operations.&nbsp; Experts estimate that delays in digital court systems could impact 15 to 25 per cent of active filings and hearings during peak periods.<h2>Impact on businesses and digital services</h2>The cyberattack wave has also affected businesses linked to government systems. Since many companies rely on shared digital platforms, even a single disruption can create wider problems across sectors.Some reported issues include:Port systems going offline for days Delays in payment processing Difficulty accessing public records This has raised concerns about the reliability of digital infrastructure in a highly connected economy.&nbsp; AI-driven threats and identity risks increasing Cybersecurity experts say the nature of attacks is also changing.<h2> Attackers are now using:</h2>AI-generated phishing messages Business email compromise tactics Coordinated financial fraudThe UAE Cyber Security Council has warned that one in three individuals may be exposed to identity theft, following a 32 per cent rise in cyber incidents in 2026.&nbsp;Companies shifting data and hiring experts The growing threat is changing how organisations manage their data. After reported damage to cloud infrastructure in the region, several companies are now: Moving data to centres in India and Europe Seeking approvals for cross-border data transfersAt the same time, demand for cybersecurity professionals has increased across the Gulf, including roles such as: Security operations analysts Digital forensics experts Threat intelligence specialistsA changing cyber threat landscape Experts say the current situation marks a shift in how cyber threats operate. Earlier attacks were limited and often linked to specific groups. Now, the threat is broader, affecting sectors such as:E-commerce Construction Oil and gas Luxury goodsThe scale and spread of attacks suggest a more complex environment, where risks are no longer limited to government systems alone.&nbsp;<h2>What it means going forward</h2>The sharp rise in cyberattacks highlights the growing importance of digital security in the region. As systems become more connected, even small disruptions can have wide economic effects. Experts say improving cyber defences, building skilled teams and strengthening data protection strategies will be key to managing risks in the coming months.

Cyberattacks across the United Arab Emirates have increased sharply, with nearly 600,000 attempts recorded daily, according to the UAE Cyber Security Council. 


Cyberattacks across the United Arab Emirates have increased sharply, with nearly 600,000 attempts recorded daily, according to the UAE Cyber Security Council. The rise comes amid ongoing regional tensions, with attack volumes tripling from around 200,000 per day before the conflict began. These attacks are targeting key sectors such as government systems, financial services, ports and utilities. Government systems and critical services affected Several major public institutions have been targeted in recent weeks. These include: Dubai Land Department Dubai Courts Department Road and Transport Authority Authorities have also reported attempted breaches on: Sharjah Electricity, Water and Gas Authority Ministry of Climate Change and Environment According to reports, disruptions have led to temporary outages in legal and public service platforms, affecting daily operations. Experts estimate that delays in digital court systems could impact 15 to 25 per cent of active filings and hearings during peak periods. Impact on businesses and digital services The cyberattack wave has also affected businesses linked to government systems. Since many companies rely on shared digital platforms, even a single disruption can create wider problems across sectors. Some reported issues include: Port systems going offline for days Delays in payment processing Difficulty accessing public records This has raised concerns about the reliability of digital infrastructure in a highly connected economy. AI-driven threats and identity risks increasing Cybersecurity experts say the nature of attacks is also changing. Attackers are now using: AI-generated phishing messages Business email compromise tactics Coordinated financial fraud The UAE Cyber Security Council has warned that one in three individuals may be exposed to identity theft, following a 32 per cent rise in cyber incidents in 2026. Companies shifting data and hiring experts The growing threat is changing how organisations manage their data. After reported damage to cloud infrastructure in the region, several companies are now: Moving data to centres in India and Europe Seeking approvals for cross-border data transfers At the same time, demand for cybersecurity professionals has increased across the Gulf, including roles such as: Security operations analysts Digital forensics experts Threat intelligence specialists A changing cyber threat landscape Experts say the current situation marks a shift in how cyber threats operate. Earlier attacks were limited and often linked to specific groups. Now, the threat is broader, affecting sectors such as: E-commerce Construction Oil and gas Luxury goods The scale and spread of attacks suggest a more complex environment, where risks are no longer limited to government systems alone. What it means going forward The sharp rise in cyberattacks highlights the growing importance of digital security in the region. As systems become more connected, even small disruptions can have wide economic effects. Experts say improving cyber defences, building skilled teams and strengthening data protection strategies will be key to managing risks in the coming months.

Cyberattacks across the United Arab Emirates have increased sharply, with nearly 600,000 attempts recorded daily, according to the UAE Cyber Security Council.&nbsp;

‘600,000 cyberattacks a day’: Massive cyberattack wave targets UAE and Gulf

Elon Musk has begun testifying in a major legal case against OpenAI and its leadership, including CEO Sam Altman and president Greg Brockman. The trial, taking place in a California federal court, is one of the most closely watched disputes in the artificial intelligence industry.<h2>What is the case about?</h2>The case centres on claims made by Musk that OpenAI has moved away from its original mission. OpenAI was founded with the aim of building artificial general intelligence (AGI) that benefits humanity. Musk, who was part of the founding team and invested about $38 million, argues that the company has shifted towards a profit-driven model.According to the lawsuit, Musk has raised concerns including:Alleged breach of OpenAI’s founding principlesClaims of unjust enrichmentConcerns over the company’s restructuring into a for-profit modelMusk has asked the court to remove Altman and Brockman from leadership roles and review OpenAI’s current structure.<h2>From partnership to rivalry</h2>Musk, Altman and Brockman were once part of the same founding group at OpenAI. However, differences soon emerged over the company’s direction, including discussions around whether OpenAI should be integrated with Tesla, which Musk leads. Musk later stepped away from OpenAI and went on to launch his own AI company, xAI, positioning it as a competitor in the same space.<h2>Who else could testify?</h2>The trial is expected to feature testimony from several major figures in the tech industry.These may include:Satya Nadella Kevin Scott Mira MuratiMicrosoft is also named in the case due to its partnership and investment in OpenAI.<h2>Why this case matters</h2>This trial goes beyond a personal dispute. It raises wider questions about how AI companies operate. At the centre of the debate is whether organisations developing advanced AI should:Remain focused on public benefitOr adopt commercial models to scale fasterThe outcome of the case could influence how future AI companies are structured and regulated.<h2>What happens next?</h2>The trial is expected to continue with more testimonies and legal arguments in the coming weeks.As both sides present their case, the court will examine:OpenAI’s organisational changes Financial structure Whether its actions align with its original missionFor now, Musk’s testimony marks a key moment in a case that could shape the future direction of the AI industry.

Elon Musk has begun testifying in a major US court case against OpenAI and its leadership. The trial, taking place in a California federal court, focuses on claims that OpenAI has shifted away from its original mission of building AI for public benefit and moved toward a profit-driven model.


Elon Musk has begun testifying in a major legal case against OpenAI and its leadership, including CEO Sam Altman and president Greg Brockman. The trial, taking place in a California federal court, is one of the most closely watched disputes in the artificial intelligence industry. What is the case about? The case centres on claims made by Musk that OpenAI has moved away from its original mission. OpenAI was founded with the aim of building artificial general intelligence (AGI) that benefits humanity. Musk, who was part of the founding team and invested about $38 million, argues that the company has shifted towards a profit-driven model. According to the lawsuit, Musk has raised concerns including: Alleged breach of OpenAI’s founding principles Claims of unjust enrichment Concerns over the company’s restructuring into a for-profit model Musk has asked the court to remove Altman and Brockman from leadership roles and review OpenAI’s current structure. From partnership to rivalry Musk, Altman and Brockman were once part of the same founding group at OpenAI. However, differences soon emerged over the company’s direction, including discussions around whether OpenAI should be integrated with Tesla, which Musk leads. Musk later stepped away from OpenAI and went on to launch his own AI company, xAI, positioning it as a competitor in the same space. Who else could testify? The trial is expected to feature testimony from several major figures in the tech industry. These may include: Satya Nadella Kevin Scott Mira Murati Microsoft is also named in the case due to its partnership and investment in OpenAI. Why this case matters This trial goes beyond a personal dispute. It raises wider questions about how AI companies operate. At the centre of the debate is whether organisations developing advanced AI should: Remain focused on public benefit Or adopt commercial models to scale faster The outcome of the case could influence how future AI companies are structured and regulated. What happens next? The trial is expected to continue with more testimonies and legal arguments in the coming weeks. As both sides present their case, the court will examine: OpenAI’s organisational changes Financial structure Whether its actions align with its original mission For now, Musk’s testimony marks a key moment in a case that could shape the future direction of the AI industry.

Elon Musk has begun testifying in a major US court case against OpenAI and its leadership. The trial, taking place in a California federal court, focuses on claims that OpenAI has shifted away from its original mission of building AI for public benefit and moved toward a profit-driven model.

Elon Musk challenges OpenAI’s shift to a profit model in court: What the case is about

As artificial intelligence tools become part of daily life, researchers are raising an important question are we relying too much on AI to think for us? A growing number of studies suggest that overuse of tools like ChatGPT, Google Gemini and Claude may affect how people think, remember and solve problems.&nbsp;<h2>What researchers are observing</h2>At the Massachusetts Institute of Technology, researcher Nataliya Kosmyna noticed something unusual. Students were submitting essays that looked very similar. Many also struggled to recall what they had written. This raised concerns that AI tools were being used heavily for thinking tasks. At the same time, researchers observed that people may be forgetting information more easily, possibly due to increased reliance on AI.<h2>Study shows drop in brain activity</h2>To understand this better, researchers at MIT conducted a study with 54 students. They divided them into three groups:One used ChatGPTOne used Google Search (without AI summaries)One used no technologyThe results showed a clear difference.Students who used their own thinking showed strong brain activity across multiple areas. Those using search engines also showed good activity, especially in visual processing. However, the ChatGPT group showed up to 55 per cent less brain activity, especially in areas linked to creativity and deep thinking.&nbsp;Memory and ownership also affectedThe study found that people using AI tools had weaker memory recall.Many participants:Could not quote from their own essaysFelt less connected to their workThis suggests that when AI does most of the thinking, people may not fully process or remember the information. Other research has also described this behaviour as “cognitive surrender”, where users accept AI answers without questioning them.&nbsp;<h2>Impact beyond students</h2>The effects are not limited to classrooms.A separate study found that medical professionals using AI tools for diagnosis became less accurate when they later worked without those tools. Researchers warn that over-reliance on AI could reduce problem-solving ability and independent judgement over time.&nbsp;<h2>Long-term risks for brain health</h2>Experts like neuroscientist Vivienne Ming say the long-term risks could be serious. Low brain activity, especially reduced gamma wave activity, has been linked in some studies to cognitive decline later in life. There are also parallels with earlier technologies. For example, heavy use of GPS has been linked to weaker spatial memory, which is an early indicator in conditions like Alzheimer's disease.&nbsp;<h2>Can AI still be useful?</h2>Despite these concerns, researchers say AI can still be helpful if used the right way.A small group in the study (less than 10 per cent) used AI differently. They:Gathered information using AIAnalysed it on their ownThese participants showed stronger brain activity and better results.Experts suggest a balanced approach:Think first before using AIUse AI to challenge ideas, not replace themAsk AI questions instead of taking direct answersThe way forward: Human + AIResearchers believe the future lies in “hybrid intelligence”, where humans and AI work together.This means:Humans focus on thinking and judgementAI supports with speed and dataThe key idea is simple AI should assist thinking, not replace it. As AI tools become more powerful, how we use them will decide whether they improve our abilities or slowly weaken them

As artificial intelligence become part of daily life, researchers are raising an question are we relying too much on AI to think for us? A growing number of studies suggest that overuse of tools like ChatGPT, Gemini and Claude may affect how people think, remember and solve problems. 

As artificial intelligence tools become part of daily life, researchers are raising an important question are we relying too much on AI to think for us? A growing number of studies suggest that overuse of tools like ChatGPT, Google Gemini and Claude may affect how people think, remember and solve problems. What researchers are observing At the Massachusetts Institute of Technology, researcher Nataliya Kosmyna noticed something unusual. Students were submitting essays that looked very similar. Many also struggled to recall what they had written. This raised concerns that AI tools were being used heavily for thinking tasks. At the same time, researchers observed that people may be forgetting information more easily, possibly due to increased reliance on AI. Study shows drop in brain activity To understand this better, researchers at MIT conducted a study with 54 students. They divided them into three groups: One used ChatGPT One used Google Search (without AI summaries) One used no technology The results showed a clear difference. Students who used their own thinking showed strong brain activity across multiple areas. Those using search engines also showed good activity, especially in visual processing. However, the ChatGPT group showed up to 55 per cent less brain activity, especially in areas linked to creativity and deep thinking. Memory and ownership also affected The study found that people using AI tools had weaker memory recall. Many participants: Could not quote from their own essays Felt less connected to their work This suggests that when AI does most of the thinking, people may not fully process or remember the information. Other research has also described this behaviour as “cognitive surrender”, where users accept AI answers without questioning them. Impact beyond students The effects are not limited to classrooms. A separate study found that medical professionals using AI tools for diagnosis became less accurate when they later worked without those tools. Researchers warn that over-reliance on AI could reduce problem-solving ability and independent judgement over time. Long-term risks for brain health Experts like neuroscientist Vivienne Ming say the long-term risks could be serious. Low brain activity, especially reduced gamma wave activity, has been linked in some studies to cognitive decline later in life. There are also parallels with earlier technologies. For example, heavy use of GPS has been linked to weaker spatial memory, which is an early indicator in conditions like Alzheimer's disease. Can AI still be useful? Despite these concerns, researchers say AI can still be helpful if used the right way. A small group in the study (less than 10 per cent) used AI differently. They: Gathered information using AI Analysed it on their own These participants showed stronger brain activity and better results. Experts suggest a balanced approach: Think first before using AI Use AI to challenge ideas, not replace them Ask AI questions instead of taking direct answers The way forward: Human + AI Researchers believe the future lies in “hybrid intelligence”, where humans and AI work together. This means: Humans focus on thinking and judgement AI supports with speed and data The key idea is simple AI should assist thinking, not replace it. As AI tools become more powerful, how we use them will decide whether they improve our abilities or slowly weaken them

As artificial intelligence become part of daily life, researchers are raising an question are we relying too much on AI to think for us? A growing number of studies suggest that overuse of tools like ChatGPT, Gemini and Claude may affect how people think, remember and solve problems.&nbsp;

Are AI tools reducing people’s critical thinking skills?

US have accused China of intellectual property theft just weeks ahead of US President Donald Trump's visit to Beijing for a historic US-China summit. In a memo released by the White House Office of Science and Technology Policy, it accused China of distilling “US frontier AI systems” on an industrial scale. “The US government has information indicating that foreign entities, principally based in China, are engaged in deliberate, ​industrial-scale campaigns to distil US frontier AI systems,” read the memo from Michael Kratsios, director of White House Office of Science and Technology Policy, as reported by the Financial Times on Thursday.<h2>What is the distilling of AI?</h2>Knowledge distillation is the process by which a smaller AI model trains itself from a “teacher” AI model, from its logits or probability distribution."Leveraging tens of thousands of proxy accounts to evade detection and using ​jailbreaking techniques to expose proprietary information, these coordinated campaigns systematically extract capabilities from American AI models, exploiting American expertise and innovation," read the memo from Michael Kratsios. The process involves a large scale of individual bot account that appear as normal user tries to reveal information about the “teacher” model which were not supposed to be made public.&nbsp;Earlier this year, AI firms like Anthropic and OpenAI said they have been dealing with such distillation activity. Anthropic has said that it faced a distillation attempt from Deepsek, Moonshot and MiniMax.&nbsp;Also Read: <a href="https://www.wionews.com/world/iran-ghalibaf-denies-rift-irgc-us-tensions-1777013407090">Iran's Ghalibaf denies schism between 'moderate' and 'radicals', says Iran united in ‘revolutionary’ identity</a><h2>How did China respond?</h2>The Chinese Embassy in Washington denied such claims, calling them “baseless allegations” It claimed that Beijing "attaches great importance to the protection of intellectual property ​rights." &nbsp;A spokesperson from China's US embassy said: "China's development is the result of its own dedication and effort as well as international cooperation that delivers mutual benefits." He added that China is not only the world's factory but is also becoming the world's innovation lab.&nbsp;&nbsp;&nbsp;

Washington alleges that Chinese entities are using AI “distillation” techniques to extract capabilities from advanced models developed by American firms like OpenAI and Anthropic. Beijing has denied the claims, calling them baseless, as both sides prepare for a high-stakes summit.

US have accused China of intellectual property theft just weeks ahead of US President Donald Trump's visit to Beijing for a historic US-China summit. In a memo released by the White House Office of Science and Technology Policy, it accused China of distilling “US frontier AI systems” on an industrial scale. “The US government has information indicating that foreign entities, principally based in China, are engaged in deliberate, industrial-scale campaigns to distil US frontier AI systems,” read the memo from Michael Kratsios, director of White House Office of Science and Technology Policy, as reported by the Financial Times on Thursday. What is the distilling of AI? Knowledge distillation is the process by which a smaller AI model trains itself from a “teacher” AI model, from its logits or probability distribution. "Leveraging tens of thousands of proxy accounts to evade detection and using jailbreaking techniques to expose proprietary information, these coordinated campaigns systematically extract capabilities from American AI models, exploiting American expertise and innovation," read the memo from Michael Kratsios. The process involves a large scale of individual bot account that appear as normal user tries to reveal information about the “teacher” model which were not supposed to be made public. Earlier this year, AI firms like Anthropic and OpenAI said they have been dealing with such distillation activity. Anthropic has said that it faced a distillation attempt from Deepsek, Moonshot and MiniMax. Also Read: Iran's Ghalibaf denies schism between 'moderate' and 'radicals', says Iran united in ‘revolutionary’ identity How did China respond? The Chinese Embassy in Washington denied such claims, calling them “baseless allegations” It claimed that Beijing "attaches great importance to the protection of intellectual property rights." A spokesperson from China's US embassy said: "China's development is the result of its own dedication and effort as well as international cooperation that delivers mutual benefits." He added that China is not only the world's factory but is also becoming the world's innovation lab.

Washington alleges that Chinese entities are using AI “distillation” techniques to extract capabilities from advanced models developed by American firms like OpenAI and Anthropic. Beijing has denied the claims, calling them baseless, as both sides prepare for a high-stakes summit.

What is distilling? US accuses China of ​industrial-scale AI system theft

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

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

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

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

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

OpenAI has introduced ChatGPT Images 2.0, a new image-generation model designed to improve how visuals are created inside ChatGPT. Announced on April 21, 2026, the update focuses on accuracy, better understanding of instructions, and improved visual reasoning. The model moves beyond simple image creation and aims to produce structured, design-ready visuals.&nbsp;<h2>Stronger instruction handling and detailed outputs</h2>One of the biggest changes in ChatGPT Images 2.0 is how well it follows instructions.The model can now: Place objects more accuratelyMaintain consistent layoutsHandle complex scenes with multiple elementsIt also improves smaller details that were earlier difficult to generate. This includes clear text, icons, and user interface elements, making the visuals more useful for real work such as presentations and design projects.&nbsp;<h2>New reasoning capability improves results</h2>The update introduces a “thinking” feature, especially when used with reasoning-enabled modes.This allows the system to:Understand complex prompts more clearlyGenerate multiple versions from a single requestUse web-based context for better outputsAs a result, users can now create multi-page comics, visual explainers, and structured designs more easily.&nbsp;Better visual quality and higher resolutionChatGPT Images 2.0 also improves overall image quality.The model can produce:Photorealistic imagesCinematic scenesStylised visuals such as manga or pixel artIt also offers outputs of up to 2K resolution through the API, which improves clarity and makes images more suitable for professional use.&nbsp;<h2>What’s new compared to Images 1.5</h2>Compared to earlier versions, the focus has shifted from just visual appeal to precision and usability. In previous versions, users often faced issues with:Incorrect text in images Poor layout structure Inconsistent designsChatGPT Images 2.0 addresses these problems by improving text accuracy, layout control, and consistency across multiple outputs.&nbsp;Improved multilingual supportAnother important upgrade is better support for multiple languages. Earlier versions worked best with English, but the new model improves accuracy in non-Latin languages as well. This makes it more useful for global users creating content in different languages.&nbsp;<h2>Why this matters</h2>The launch of ChatGPT Images 2.0 shows how image generation tools are becoming more practical for everyday use. Instead of just creating experimental visuals, the focus is now on:Real-world usability Structured design Reliable outputsThis could help professionals in design, education, marketing, and storytelling create visuals faster while maintaining quality. As AI tools continue to improve, systems like ChatGPT Images 2.0 are likely to become a regular part of creative and technical workflows&nbsp;

OpenAI has launched ChatGPT Images 2.0, a major upgrade to its image-generation system announced on April 21, 2026. The new model focuses on accuracy, structured design and better reasoning, moving beyond basic image creation to produce design-ready visuals. 

OpenAI has introduced ChatGPT Images 2.0, a new image-generation model designed to improve how visuals are created inside ChatGPT. Announced on April 21, 2026, the update focuses on accuracy, better understanding of instructions, and improved visual reasoning. The model moves beyond simple image creation and aims to produce structured, design-ready visuals. Stronger instruction handling and detailed outputs One of the biggest changes in ChatGPT Images 2.0 is how well it follows instructions. The model can now: Place objects more accurately Maintain consistent layouts Handle complex scenes with multiple elements It also improves smaller details that were earlier difficult to generate. This includes clear text, icons, and user interface elements, making the visuals more useful for real work such as presentations and design projects. New reasoning capability improves results The update introduces a “thinking” feature, especially when used with reasoning-enabled modes. This allows the system to: Understand complex prompts more clearly Generate multiple versions from a single request Use web-based context for better outputs As a result, users can now create multi-page comics, visual explainers, and structured designs more easily. Better visual quality and higher resolution ChatGPT Images 2.0 also improves overall image quality. The model can produce: Photorealistic images Cinematic scenes Stylised visuals such as manga or pixel art It also offers outputs of up to 2K resolution through the API, which improves clarity and makes images more suitable for professional use. What’s new compared to Images 1.5 Compared to earlier versions, the focus has shifted from just visual appeal to precision and usability. In previous versions, users often faced issues with: Incorrect text in images Poor layout structure Inconsistent designs ChatGPT Images 2.0 addresses these problems by improving text accuracy, layout control, and consistency across multiple outputs. Improved multilingual support Another important upgrade is better support for multiple languages. Earlier versions worked best with English, but the new model improves accuracy in non-Latin languages as well. This makes it more useful for global users creating content in different languages. Why this matters The launch of ChatGPT Images 2.0 shows how image generation tools are becoming more practical for everyday use. Instead of just creating experimental visuals, the focus is now on: Real-world usability Structured design Reliable outputs This could help professionals in design, education, marketing, and storytelling create visuals faster while maintaining quality. As AI tools continue to improve, systems like ChatGPT Images 2.0 are likely to become a regular part of creative and technical workflows

OpenAI has launched ChatGPT Images 2.0, a major upgrade to its image-generation system announced on April 21, 2026. The new model focuses on accuracy, structured design and better reasoning, moving beyond basic image creation to produce design-ready visuals.&nbsp;

OpenAI launches ChatGPT Images 2.0: How the new image model could transform design, education, and storytelling

A major shift is underway at Google team, where artificial intelligence is now doing most of the coding work. Sundar Pichai said around 75 per cent of new code at the company is now generated using AI systems. The update was shared during Google’s Cloud Next 2026 event in Las Vegas, highlighting how quickly AI is changing software development.This marks a sharp rise from 50 per cent just six months ago, showing how rapidly AI tools are being adopted within the company.<h2>AI writes the code, engineers stay in control</h2>Even though AI is generating most of the code, human engineers remain an essential part of the process.Pichai explained that every piece of AI-generated code is reviewed and approved by engineers. This means AI acts more like a fast assistant, creating drafts, while humans ensure accuracy and reliability. This approach is helping teams work faster without compromising quality. Engineers are no longer writing every line themselves but are focusing more on reviewing, guiding, and improving outputs.<h2>What are ‘agentic workflows’?</h2>Google is moving towards what Pichai calls “agentic workflows.”In simple terms, this means engineers now use multiple AI agents that can:Work independently on tasksCollaborate with each otherImprove solutions step by stepPichai described engineers as people who “orchestrate digital task forces” made up of AI agents. One example shared by the company showed that a large coding project was completed six times faster than similar work done a year earlier.Faster apps and product developmentAI is also speeding up how Google builds products.Pichai pointed to the development of the Gemini app for macOS, where teams reportedly built a working application in just a few days using an internal system called Antigravity. Google is testing these tools internally first, acting as what Pichai called a “customer zero” before offering them to businesses.This helps the company understand how well the technology works at scale.<h2>What this means for the tech industry</h2>Google’s shift reflects a broader trend across the tech world.AI tools are increasingly:Writing codeFinding errorsSuggesting improvementsSam Altman has also noted how quickly software development is evolving, with AI systems now able to perform tasks in seconds that once took hours.This does not mean engineers are becoming less important. Instead, their role is changing.They are now focusing more on: Decision-making Oversight System design A new way of codingThe rise of AI in coding is not just about speed. It is changing how software is built. At Google, the process is now less about writing code line by line and more about guiding intelligent systems to produce the right results. As AI continues to improve, this model could become the standard across the industry, reshaping the future of work for software engineers worldwide.&nbsp;

Google CEO Sundar Pichai revealed that around 75% of new code at Google is now generated by AI, a sharp jump from 50% just six months ago. Shared at Google Cloud Next 2026, the update highlights how AI is rapidly transforming software development. 

A major shift is underway at Google team, where artificial intelligence is now doing most of the coding work. Sundar Pichai said around 75 per cent of new code at the company is now generated using AI systems. The update was shared during Google’s Cloud Next 2026 event in Las Vegas, highlighting how quickly AI is changing software development. This marks a sharp rise from 50 per cent just six months ago, showing how rapidly AI tools are being adopted within the company. AI writes the code, engineers stay in control Even though AI is generating most of the code, human engineers remain an essential part of the process. Pichai explained that every piece of AI-generated code is reviewed and approved by engineers. This means AI acts more like a fast assistant, creating drafts, while humans ensure accuracy and reliability. This approach is helping teams work faster without compromising quality. Engineers are no longer writing every line themselves but are focusing more on reviewing, guiding, and improving outputs. What are ‘agentic workflows’? Google is moving towards what Pichai calls “agentic workflows.” In simple terms, this means engineers now use multiple AI agents that can: Work independently on tasks Collaborate with each other Improve solutions step by step Pichai described engineers as people who “orchestrate digital task forces” made up of AI agents. One example shared by the company showed that a large coding project was completed six times faster than similar work done a year earlier. Faster apps and product development AI is also speeding up how Google builds products. Pichai pointed to the development of the Gemini app for macOS, where teams reportedly built a working application in just a few days using an internal system called Antigravity. Google is testing these tools internally first, acting as what Pichai called a “customer zero” before offering them to businesses. This helps the company understand how well the technology works at scale. What this means for the tech industry Google’s shift reflects a broader trend across the tech world. AI tools are increasingly: Writing code Finding errors Suggesting improvements Sam Altman has also noted how quickly software development is evolving, with AI systems now able to perform tasks in seconds that once took hours. This does not mean engineers are becoming less important. Instead, their role is changing. They are now focusing more on: Decision-making Oversight System design A new way of coding The rise of AI in coding is not just about speed. It is changing how software is built. At Google, the process is now less about writing code line by line and more about guiding intelligent systems to produce the right results. As AI continues to improve, this model could become the standard across the industry, reshaping the future of work for software engineers worldwide.

Google CEO Sundar Pichai revealed that around 75% of new code at Google is now generated by AI, a sharp jump from 50% just six months ago. Shared at Google Cloud Next 2026, the update highlights how AI is rapidly transforming software development.

AI writes 75% of Google’s new code, says Sundar Pichai: What it means for engineers

In February this year, India hosted the AI Impact Summit, the first of its kind, signalling a clear intent to lead the AI narrative rather than simply be part of the conversation. Now, a new report by an AI-native VC, SenseAI, reinforces that momentum. It says global AI investment reached $800 billion in 2025, with venture capital funding nearly doubling to $226 billion. India, meanwhile, is increasingly being seen as a hub for AI applications, a place where technology is being adopted at scale, adapted to local use cases, and used to build a new generation of companies. The report challenges the conventional view of India as a follower in the global AI race. Instead, it highlights how India is emerging as a key driver of the AI application layer, the point where commercial value is ultimately captured. The report states that 75% of Indian AI startups are building at the application layer and nearly 80% of funding is flowing into applications. Meanwhile, a majority of startups are reaching revenue stages early. "That amount of money is the largest we've seen flow into any industry when it's born. AI is not one thing; it's not just ChatGPT. For example, if you think of electricity, a lot of plants generate that electricity but in this context, application is that electrical appliance like a toaster you use at home. That is where AI becomes useful to you and me," said Rahul Agarwalla, Managing Partner, SenseAI Ventures, during a panel discussion at WION on India's AI Moment. Speaking about the broader implications, Juhi Bhatnagar, a key advisor to the Indian AI Research Organisation and Founder, Forj, said, "Nations are not very different from businesses. For instance, in the last decade, China won on manufacturing, Singapore won on speed of decision-making, India won on services and the U.S. won on innovation. But this AI boom has told us, if you're not innovative, you can't have a competitive edge as a country. Thus, you have to invest more in R&amp;D, and from going from papers to patents and from patents to products; that's the journey as a country that we have to traverse."&nbsp;ALSO READ: <a href="https://www.wionews.com/world/with-hormuz-disrupted-what-are-the-alternative-routes-for-middle-east-oil-and-gs-exports-and-are-they-enough-1776856704192">With Hormuz disrupted, what are the alternative routes for Middle East oil and gas exports—and are they enough?</a> Indian AI Research Organisation works on advancing sovereign AI capabilities, policy research and ecosystem development in India. AI applications now account for approximately 75% of the ecosystem, with Enterprise SaaS emerging as the largest category. The segment grew from 14.1% in 2024 to 25.5% in 2025, reflecting rapid adoption within enterprise workflows. Additionally, 60% of startups are already post-revenue at early stages, driven by faster adoption and monetisation cycles of AI-native applications. But how is this shift playing out in reality? What is working and what isn't? "AI is here to stay. And in the last few years, it has moved from experimentation to execution in most industries. I think we need to look at it from different dimensions. There is traditional AI, which was largely confined to certain enterprises. And then what we are looking at and experiencing right now is agentic AI, the transformation where autonomous decision-making comes into the picture. But from an end-user and enterprise perspective, is it really solving the problem? Definitely, it is solving the problem in pieces and there are tools available which can solve your business problems. But when you look at it holistically, that's where the end-to-end, the workflow and the larger picture comes into play," said Achin Sharma, Head of Technology and Cybersecurity at MOVIN India, during the panel discussion.&nbsp;ALSO READ: <a href="https://www.wionews.com/world/india-bound-ship-among-two-vessels-attacked-in-strait-of-hormuz-seized-by-iran-s-irgc-1776859709438">India-bound ship among two vessels attacked in Strait of Hormuz, seized by Iran's IRGC</a> The SenseAI report also states that Enterprise AI contract sizes have grown sharply, from $39,000 to $530,000 in just two years, signalling growing enterprise confidence in AI deployments. As investment accelerates and deployment expands, another critical question is beginning to take centre stage - regulation. With AI systems increasingly influencing businesses, economies and everyday decision-making, the conversation is no longer just about innovation, but also about accountability. During the panel discussion, the issue of governance &amp; digital sovereignty also came up, particularly around who should regulate AI and how. "The realization that has come is that if our people use the data, if a billion plus Indians are using AI products, all that data is today leaving the country if they're using foreign products. So, should that data stay here? Should our companies, our government get the benefit of that data, learn from that data? Of course, yes. So, that is one clear place where you require regulation," Agarwalla explained. Achin added, "We have to see how things will evolve once the Digital Personal Data Protection Act gets fully enforced, which is the Indian data law. Because all this data is being, in a way, exported to other countries and somewhere I have read a long time back that if the service is free, you are the product."&nbsp;ALSO READ: <a href="https://www.wionews.com/world/us-stockpiles-running-dry-heavy-use-in-iran-war-pushes-thaad-patriot-and-tomahawk-reserves-to-the-brink-1776845964670">US Stockpiles running dry? Heavy use in Iran war pushes THAAD, Patriot and Tomahawk reserves to the brink</a> India is one of the largest user bases for AI globally, particularly when it comes to tools like GPT. With millions of users interacting with AI systems daily, this also means vast amounts of data are being generated and processed. Panelists noted that as AI adoption grows, questions around how this data is collected, stored and used become increasingly important. Juhi noted that while India is one of the largest AI user bases, generating data and even building applications locally, much of the revenue and tax benefits are captured overseas, particularly in the United States, meaning India contributes the data and insights while value is created elsewhere. As India's AI ecosystem continues to expand, the focus is now shifting from adoption to ownership of data, innovation and economic value. How India navigates this next phase could reinforce its position as a global AI leader, particularly for emerging economies and the Global South.

India is positioning itself as a leader in the global AI ecosystem, highlighted by hosting the first AI Impact Summit. A SenseAI report notes global AI investment reached $800 billion in 2025, with VC funding at $226 billion.

In February this year, India hosted the AI Impact Summit, the first of its kind, signalling a clear intent to lead the AI narrative rather than simply be part of the conversation. Now, a new report by an AI-native VC, SenseAI, reinforces that momentum. It says global AI investment reached $800 billion in 2025, with venture capital funding nearly doubling to $226 billion. India, meanwhile, is increasingly being seen as a hub for AI applications, a place where technology is being adopted at scale, adapted to local use cases, and used to build a new generation of companies. The report challenges the conventional view of India as a follower in the global AI race. Instead, it highlights how India is emerging as a key driver of the AI application layer, the point where commercial value is ultimately captured. The report states that 75% of Indian AI startups are building at the application layer and nearly 80% of funding is flowing into applications. Meanwhile, a majority of startups are reaching revenue stages early. "That amount of money is the largest we've seen flow into any industry when it's born. AI is not one thing; it's not just ChatGPT. For example, if you think of electricity, a lot of plants generate that electricity but in this context, application is that electrical appliance like a toaster you use at home. That is where AI becomes useful to you and me," said Rahul Agarwalla, Managing Partner, SenseAI Ventures, during a panel discussion at WION on India's AI Moment. Speaking about the broader implications, Juhi Bhatnagar, a key advisor to the Indian AI Research Organisation and Founder, Forj, said, "Nations are not very different from businesses. For instance, in the last decade, China won on manufacturing, Singapore won on speed of decision-making, India won on services and the U.S. won on innovation. But this AI boom has told us, if you're not innovative, you can't have a competitive edge as a country. Thus, you have to invest more in R&D, and from going from papers to patents and from patents to products; that's the journey as a country that we have to traverse." ALSO READ: With Hormuz disrupted, what are the alternative routes for Middle East oil and gas exports—and are they enough? Indian AI Research Organisation works on advancing sovereign AI capabilities, policy research and ecosystem development in India. AI applications now account for approximately 75% of the ecosystem, with Enterprise SaaS emerging as the largest category. The segment grew from 14.1% in 2024 to 25.5% in 2025, reflecting rapid adoption within enterprise workflows. Additionally, 60% of startups are already post-revenue at early stages, driven by faster adoption and monetisation cycles of AI-native applications. But how is this shift playing out in reality? What is working and what isn't? "AI is here to stay. And in the last few years, it has moved from experimentation to execution in most industries. I think we need to look at it from different dimensions. There is traditional AI, which was largely confined to certain enterprises. And then what we are looking at and experiencing right now is agentic AI, the transformation where autonomous decision-making comes into the picture. But from an end-user and enterprise perspective, is it really solving the problem? Definitely, it is solving the problem in pieces and there are tools available which can solve your business problems. But when you look at it holistically, that's where the end-to-end, the workflow and the larger picture comes into play," said Achin Sharma, Head of Technology and Cybersecurity at MOVIN India, during the panel discussion. ALSO READ: India-bound ship among two vessels attacked in Strait of Hormuz, seized by Iran's IRGC The SenseAI report also states that Enterprise AI contract sizes have grown sharply, from $39,000 to $530,000 in just two years, signalling growing enterprise confidence in AI deployments. As investment accelerates and deployment expands, another critical question is beginning to take centre stage - regulation. With AI systems increasingly influencing businesses, economies and everyday decision-making, the conversation is no longer just about innovation, but also about accountability. During the panel discussion, the issue of governance & digital sovereignty also came up, particularly around who should regulate AI and how. "The realization that has come is that if our people use the data, if a billion plus Indians are using AI products, all that data is today leaving the country if they're using foreign products. So, should that data stay here? Should our companies, our government get the benefit of that data, learn from that data? Of course, yes. So, that is one clear place where you require regulation," Agarwalla explained. Achin added, "We have to see how things will evolve once the Digital Personal Data Protection Act gets fully enforced, which is the Indian data law. Because all this data is being, in a way, exported to other countries and somewhere I have read a long time back that if the service is free, you are the product." ALSO READ: US Stockpiles running dry? Heavy use in Iran war pushes THAAD, Patriot and Tomahawk reserves to the brink India is one of the largest user bases for AI globally, particularly when it comes to tools like GPT. With millions of users interacting with AI systems daily, this also means vast amounts of data are being generated and processed. Panelists noted that as AI adoption grows, questions around how this data is collected, stored and used become increasingly important. Juhi noted that while India is one of the largest AI user bases, generating data and even building applications locally, much of the revenue and tax benefits are captured overseas, particularly in the United States, meaning India contributes the data and insights while value is created elsewhere. As India's AI ecosystem continues to expand, the focus is now shifting from adoption to ownership of data, innovation and economic value. How India navigates this next phase could reinforce its position as a global AI leader, particularly for emerging economies and the Global South.

India is positioning itself as a leader in the global AI ecosystem, highlighted by hosting the first AI Impact Summit. A SenseAI report notes global AI investment reached $800 billion in 2025, with VC funding at $226 billion.

India's AI moment: Hype, investment & reality

Claude took down an entire organisation with 60+ accounts and offered no clear explanation for the decision. The CEO posted the issue on X, saying the only way to appeal the decision was by filling out a Google Form.

Anthropic blocks entire company out of Claude without a reasonable explanation

Is ChatGPT to blame for last year's mass shooting at Florida State University? Florida on Tuesday (Apr 21) launched a criminal probe against the chatbot and its maker, commenting that if it were a person, ChatGPT would've been facing murder charges. But what did the chatbot do? The decision to launch a criminal investigation comes after prosecutors stumbled upon exchanges between ChatGPT and Phoenix Ikner, the suspected Florida State University shooter who killed two people and injured six in a mass shooting on April 17, 2025.Also read | <a href="https://www.wionews.com/world/-if-my-people-days-after-posting-himself-as-jesus-trump-reads-telling-bible-verse-here-s-why-it-s-so-polarising-1776818845583">‘If my people': Days after posting himself as Jesus, Trump reads telling Bible verse - Here's why it's so polarising</a><h2>Murder suspect: ChatGPT?</h2>According to Florida State Attorney General James Uthmeier, prosecutors have reviewed exchanges between the alleged suspect and the chatbot. Surprisingly, they found that ChatGPT advised the shooter on things like what type of gun and ammunition to use as well as where and when on campus a lot of people would likely be found."If ChatGPT were a person, it would be facing charges for murder," said Uthmeier. He noted that Florida law allows for anyone who assists or counsels someone in carrying out a crime as an "aider and abettor" bearing the same responsibility as the perpetrator".<h2>OpenAI shrugs off responsibility</h2>In a statement, ChatGPT maker OpenAI said that the shooting was a tragedy, but insisted that "ChatGPT is not responsible for this terrible crime.""ChatGPT provided factual responses to questions with information that could be found broadly across public sources on the internet, and it did not encourage or promote illegal or harmful activity," said a company spokesperson. They also noted that OpenAI voluntarily identified the ChatGPT account of the suspected shooter and shared it with the police.Also read | <a href="https://www.wionews.com/world/trump-announces-pentagon-ufo-files-release-we-found-many-very-interesting-documents-1776492394923">Trump announces Pentagon UFO files release: 'We found many very interesting documents'</a><h2>Florida ventures into 'uncharted history'</h2>Uthmeier conceded that "here with AI, we are venturing into uncharted territory". He insisted that it was necessary to "know whether or not OpenAI has criminal liability."Prosecutors will dig into how much OpenAI knew about the potential for "dangerous behaviour" involving ChatGPT and what could have been done to mitigate that risk, said Uthmeier. "We cannot have AI bots that are advising people on how to kill others," the state attorney general said. &nbsp;

Is ChatGPT to blame for a mass shooting? Florida has launched a criminal probe after alleged chats between the suspect and the bot surfaced, raising serious questions about AI accountability.

Can a chatbot be held liable for such crimes?

Scroll down to read more.

Is ChatGPT to blame for last year's mass shooting at Florida State University? Florida on Tuesday (Apr 21) launched a criminal probe against the chatbot and its maker, commenting that if it were a person, ChatGPT would've been facing murder charges. But what did the chatbot do? The decision to launch a criminal investigation comes after prosecutors stumbled upon exchanges between ChatGPT and Phoenix Ikner, the suspected Florida State University shooter who killed two people and injured six in a mass shooting on April 17, 2025. Also read | ‘If my people': Days after posting himself as Jesus, Trump reads telling Bible verse - Here's why it's so polarising Murder suspect: ChatGPT? According to Florida State Attorney General James Uthmeier, prosecutors have reviewed exchanges between the alleged suspect and the chatbot. Surprisingly, they found that ChatGPT advised the shooter on things like what type of gun and ammunition to use as well as where and when on campus a lot of people would likely be found. "If ChatGPT were a person, it would be facing charges for murder," said Uthmeier. He noted that Florida law allows for anyone who assists or counsels someone in carrying out a crime as an "aider and abettor" bearing the same responsibility as the perpetrator". OpenAI shrugs off responsibility In a statement, ChatGPT maker OpenAI said that the shooting was a tragedy, but insisted that "ChatGPT is not responsible for this terrible crime." "ChatGPT provided factual responses to questions with information that could be found broadly across public sources on the internet, and it did not encourage or promote illegal or harmful activity," said a company spokesperson. They also noted that OpenAI voluntarily identified the ChatGPT account of the suspected shooter and shared it with the police. Also read | Trump announces Pentagon UFO files release: 'We found many very interesting documents' Florida ventures into 'uncharted history' Uthmeier conceded that "here with AI, we are venturing into uncharted territory". He insisted that it was necessary to "know whether or not OpenAI has criminal liability." Prosecutors will dig into how much OpenAI knew about the potential for "dangerous behaviour" involving ChatGPT and what could have been done to mitigate that risk, said Uthmeier. "We cannot have AI bots that are advising people on how to kill others," the state attorney general said.

Is ChatGPT to blame for a mass shooting? Florida has launched a criminal probe after alleged chats between the suspect and the bot surfaced, raising serious questions about AI accountability.Can a chatbot be held liable for such crimes?Scroll down to read more.

Murder suspect: ChatGPT? Florida launches probe against OpenAI chatbot - Here's why

When Tim Cook became CEO of Apple in 2011, he took charge of a company already known for products like the iPhone and Mac. Over the next decade, Cook focused on expanding Apple’s ecosystem. Instead of relying on one flagship device, the company moved towards a connected system of devices, services and platforms.<h2>Several key product launches and strategy changes defined Apple during his tenure.</h2>Apple Watch and AirPods: Building the wearables businessOne of the biggest shifts under Cook was Apple’s entry into wearables. The Apple Watch, launched in 2015, was the company’s first major new product category after the iPad. It started as a companion to the iPhone but gradually became focused on health and fitness.Features such as ECG monitoring, blood oxygen tracking and fall detection helped it move into healthcare-related use.A year later, Apple introduced AirPods in 2016. At that time, wireless earbuds were not widely used. Apple removed the headphone jack and introduced a fully wireless design.This move helped make wireless audio more common. Over time, features such as spatial audio and improved battery life were added.<h2>iPhone X: A major design shift</h2>In 2017, Apple launched the iPhone X, which marked a major change in smartphone design.It removed the home button and introduced:Edge-to-edge OLED displayFace ID facial recognitionGesture-based navigationThis design later became standard across most smartphones in the industry.After this, Apple also changed its strategy. Instead of launching one iPhone model each year, it introduced multiple variants such as standard, Pro and Pro Max models. This helped the company target different price segments.<h2>Apple Silicon: A key technology transition</h2>In 2020, Apple made a major shift by moving Macs from Intel processors to its own chips, starting with the M1. This transition allowed Apple to control both hardware and software more closely.The result included:&nbsp; Better battery life Faster performance Ability to run iPhone and iPad apps on MacThis move also reduced Apple’s reliance on external chip suppliers and gave it more flexibility in product development.<h2>AirTag and ecosystem expansion</h2>In 2021, Apple launched AirTag, entering the item-tracking category. AirTag works with the Find My network to help users locate everyday objects like keys and bags. It uses Ultra Wideband technology for precise tracking. This product extended Apple’s ecosystem into daily use cases beyond traditional devices.<h2>Vision Pro: Entry into spatial computing</h2>In 2024, Apple introduced the Vision Pro, marking its entry into spatial computing. The headset allows users to interact with apps using:Eye trackingHand gesturesVoice commandsInstead of a traditional screen, it offers a digital interface where apps can be placed in a three-dimensional space. Apple describes this as an “infinite canvas”, allowing users to work across multiple virtual screens.<h2>How Tim Cook changed Apple’s strategy</h2>Under Cook, Apple moved from a product-focused company to an ecosystem-driven business.Key changes included:Expanding into wearablesIntroducing multiple device categoriesBuilding in-house chip technologyStrengthening integration across devicesThis approach helped Apple grow beyond the iPhone and create a connected experience across products.What comes next?As Tim Cook prepares to step down, his legacy will likely be defined by how he expanded Apple’s ecosystem rather than launching a single breakthrough product. From wearables to custom chips and spatial computing, his leadership focused on steady evolution. The next phase for Apple may depend on how these products continue to develop and how the company adapts to new technologies such as artificial intelligence.

Since becoming CEO of Apple Inc. in 2011, Tim Cook has transformed the company from a product-led brand into a deeply integrated ecosystem powerhouse. Apple expanded into wearables, services, chips and spatial computing, creating a connected experience across devices. 


When Tim Cook became CEO of Apple in 2011, he took charge of a company already known for products like the iPhone and Mac. Over the next decade, Cook focused on expanding Apple’s ecosystem. Instead of relying on one flagship device, the company moved towards a connected system of devices, services and platforms. Several key product launches and strategy changes defined Apple during his tenure. Apple Watch and AirPods: Building the wearables business One of the biggest shifts under Cook was Apple’s entry into wearables. The Apple Watch, launched in 2015, was the company’s first major new product category after the iPad. It started as a companion to the iPhone but gradually became focused on health and fitness. Features such as ECG monitoring, blood oxygen tracking and fall detection helped it move into healthcare-related use. A year later, Apple introduced AirPods in 2016. At that time, wireless earbuds were not widely used. Apple removed the headphone jack and introduced a fully wireless design. This move helped make wireless audio more common. Over time, features such as spatial audio and improved battery life were added. iPhone X: A major design shift In 2017, Apple launched the iPhone X, which marked a major change in smartphone design. It removed the home button and introduced: Edge-to-edge OLED display Face ID facial recognition Gesture-based navigation This design later became standard across most smartphones in the industry. After this, Apple also changed its strategy. Instead of launching one iPhone model each year, it introduced multiple variants such as standard, Pro and Pro Max models. This helped the company target different price segments. Apple Silicon: A key technology transition In 2020, Apple made a major shift by moving Macs from Intel processors to its own chips, starting with the M1. This transition allowed Apple to control both hardware and software more closely. The result included: Better battery life Faster performance Ability to run iPhone and iPad apps on Mac This move also reduced Apple’s reliance on external chip suppliers and gave it more flexibility in product development. AirTag and ecosystem expansion In 2021, Apple launched AirTag, entering the item-tracking category. AirTag works with the Find My network to help users locate everyday objects like keys and bags. It uses Ultra Wideband technology for precise tracking. This product extended Apple’s ecosystem into daily use cases beyond traditional devices. Vision Pro: Entry into spatial computing In 2024, Apple introduced the Vision Pro, marking its entry into spatial computing. The headset allows users to interact with apps using: Eye tracking Hand gestures Voice commands Instead of a traditional screen, it offers a digital interface where apps can be placed in a three-dimensional space. Apple describes this as an “infinite canvas”, allowing users to work across multiple virtual screens. How Tim Cook changed Apple’s strategy Under Cook, Apple moved from a product-focused company to an ecosystem-driven business. Key changes included: Expanding into wearables Introducing multiple device categories Building in-house chip technology Strengthening integration across devices This approach helped Apple grow beyond the iPhone and create a connected experience across products. What comes next? As Tim Cook prepares to step down, his legacy will likely be defined by how he expanded Apple’s ecosystem rather than launching a single breakthrough product. From wearables to custom chips and spatial computing, his leadership focused on steady evolution. The next phase for Apple may depend on how these products continue to develop and how the company adapts to new technologies such as artificial intelligence.

Since becoming CEO of Apple Inc. in 2011, Tim Cook has transformed the company from a product-led brand into a deeply integrated ecosystem powerhouse. Apple expanded into wearables, services, chips and spatial computing, creating a connected experience across devices.&nbsp;

Apple after Steve Jobs: Key products launched under Tim Cook

Who is John Ternus? Meet Apple’s new CEO replacing Tim Cook—his age, education, career journey, and what his leadership means for Apple’s future

Who is John Ternus? Everything to know about Apple’s new CEO replacing Tim Cook

The buzz around Grand Theft Auto VI continues to grow, and one question remains at the centre of discussion how much will it cost in India?With trailers already released and more updates expected, Rockstar’s upcoming title is being seen as one of the biggest game launches in recent years. Along with gameplay and story, pricing has become a major talking point among gamers.<h2>GTA 6 price in India: What are the expected?</h2>As of now, Rockstar Games has not officially confirmed the price of GTA 6 in India. However, industry discussions and early estimates suggest a few possible price ranges.Earlier rumours pointed to a price of around Rs 10,000 for the Standard Edition. This figure created strong reactions among gamers, as it would be one of the most expensive mainstream game launches in India.Later, comments from Take-Two Interactive leadership suggested a more realistic range between Rs 6,999 and Rs 7,499 for the base version.This pricing aligns more closely with current AAA game trends on consoles like PlayStation 5 and Xbox Series X.At this stage, all figures remain unofficial, and players are advised to wait for confirmation from Rockstar.<h2>Editions and platforms: What will GTA 6 offer?</h2>GTA 6 is expected to launch in at least two editions:Standard EditionDigital Deluxe EditionThe Digital Deluxe version is likely to include extra in-game content, early access benefits, or additional features, which may increase its price further.The game will be available on:PlayStation 5Xbox Series X and Series SThere is no confirmed timeline yet for a PC version, which has been a common trend with Rockstar releases.<h2>GTA 6 gameplay and characters: What we know so far</h2>Rockstar has already revealed key details about the game’s storyline and characters.The game will feature two main protagonists:Jason LuciaLucia is expected to be the first female lead character in the GTA franchise, marking a shift in storytelling.Other characters such as Raul Batista, Cal Hampton and Boobie Ike are also expected to play roles in the story. Some online discussions suggest a possible third playable character, but this has not been confirmed by official sources.<h2>Pricing for Indian gamers</h2>India is a growing gaming market, but pricing remains a key factor for most players. A price closer to Rs 7,000 is considered acceptable for major titles, while anything significantly higher could affect adoption.According to industry trends, AAA games have gradually increased in price globally due to higher development costs, larger open worlds and advanced graphics.GTA 6 is expected to be one of the most ambitious projects by Rockstar, which may also influence its final pricing.<h2>What should players expect next?</h2>For now, the pricing of GTA 6 in India remains uncertain. More clarity is expected closer to the official launch announcement.Gamers can expect:Official price confirmation from RockstarDetails on special editionsPre-order announcementsMore gameplay trailersUntil then, speculation will continue as excitement builds around one of the most anticipated games in recent years.

The buzz around Grand Theft Auto VI continues to grow, with pricing becoming a key talking point for Indian gamers. While Rockstar Games has not officially confirmed the price, industry estimates suggest a likely range between Rs 6,999 and Rs 7,499 for the standard edition.

The buzz around Grand Theft Auto VI continues to grow, and one question remains at the centre of discussion how much will it cost in India? With trailers already released and more updates expected, Rockstar’s upcoming title is being seen as one of the biggest game launches in recent years. Along with gameplay and story, pricing has become a major talking point among gamers. GTA 6 price in India: What are the expected? As of now, Rockstar Games has not officially confirmed the price of GTA 6 in India. However, industry discussions and early estimates suggest a few possible price ranges. Earlier rumours pointed to a price of around Rs 10,000 for the Standard Edition. This figure created strong reactions among gamers, as it would be one of the most expensive mainstream game launches in India. Later, comments from Take-Two Interactive leadership suggested a more realistic range between Rs 6,999 and Rs 7,499 for the base version. This pricing aligns more closely with current AAA game trends on consoles like PlayStation 5 and Xbox Series X. At this stage, all figures remain unofficial, and players are advised to wait for confirmation from Rockstar. Editions and platforms: What will GTA 6 offer? GTA 6 is expected to launch in at least two editions: Standard Edition Digital Deluxe Edition The Digital Deluxe version is likely to include extra in-game content, early access benefits, or additional features, which may increase its price further. The game will be available on: PlayStation 5 Xbox Series X and Series S There is no confirmed timeline yet for a PC version, which has been a common trend with Rockstar releases. GTA 6 gameplay and characters: What we know so far Rockstar has already revealed key details about the game’s storyline and characters. The game will feature two main protagonists: Jason Lucia Lucia is expected to be the first female lead character in the GTA franchise, marking a shift in storytelling. Other characters such as Raul Batista, Cal Hampton and Boobie Ike are also expected to play roles in the story. Some online discussions suggest a possible third playable character, but this has not been confirmed by official sources. Pricing for Indian gamers India is a growing gaming market, but pricing remains a key factor for most players. A price closer to Rs 7,000 is considered acceptable for major titles, while anything significantly higher could affect adoption. According to industry trends, AAA games have gradually increased in price globally due to higher development costs, larger open worlds and advanced graphics. GTA 6 is expected to be one of the most ambitious projects by Rockstar, which may also influence its final pricing. What should players expect next? For now, the pricing of GTA 6 in India remains uncertain. More clarity is expected closer to the official launch announcement. Gamers can expect: Official price confirmation from Rockstar Details on special editions Pre-order announcements More gameplay trailers Until then, speculation will continue as excitement builds around one of the most anticipated games in recent years.

The buzz around Grand Theft Auto VI continues to grow, with pricing becoming a key talking point for Indian gamers. While Rockstar Games has not officially confirmed the price, industry estimates suggest a likely range between Rs 6,999 and Rs 7,499 for the standard edition.

How much will GTA 6 cost in India? Here’s what reports suggest

Anthropic has introduced its latest model, Claude Opus 4.7, with a strong focus on safety and responsible use. The company said the new system is designed to reduce risks linked to misuse, especially in areas such as cybersecurity, while still supporting legitimate business and research needs.According to the company’s release, the model includes automated safeguards that can detect and block high-risk or restricted activities.Claude Opus 4.7?Claude Opus 4.7 is an upgraded AI model built for tasks such as:Software developmentData analysisImage understandingComplex reasoningIt is part of Anthropic’s broader effort to develop advanced AI systems that remain aligned with safety standards.The company positioned Opus 4.7 as a more accessible version compared to its highly advanced “Mythos” model, which remains restricted due to potential risks.How the new safety safeguards workOne of the key highlights of Claude Opus 4.7 is its built-in safety system.According to the company, the model can:Detect harmful or high-risk promptsBlock or limit responses linked to cyberattacksAllow safe and legitimate security researchMonitor patterns of misuseThese safeguards are designed to strike a balance between usability and risk control.Anthropic said the goal is to prevent misuse without limiting productive use cases for developers and enterprises.<h2>Why AI safety is becoming important</h2>As AI models become more powerful, concerns around misuse have increased.Industry experts have raised concerns about AI being used in:CyberattacksData exploitationInfrastructure disruptionAnthropic’s approach reflects a wider trend in the AI industry, where companies are building safety mechanisms directly into their systems. The company uses what it calls a “constitutional AI” framework, which embeds ethical rules into how the model behaves. This approach aims to ensure the system follows defined guidelines while interacting with users.Enterprise adoption and real-world useClaude Opus 4.7 has already been tested by companies including:IntuitNotionShopifyThese early tests focused on practical use cases such as coding, workflow automation and data processing. According to the company, feedback from enterprise users has helped refine both performance and safety features.<h2>What this means for the AI industry</h2>The launch of Claude Opus 4.7 shows how AI development is shifting. Earlier, the focus was mainly on improving performance. Now, companies are also focusing on:SafetyComplianceRisk managementAnthropic’s latest model reflects this change, where capability and control are being developed together. As AI systems become more widely used, building safeguards may become as important as improving performance.&nbsp; Claude Opus 4.7 arrives at a time when global discussions around AI regulation and safety are increasing. By introducing stronger safeguards, Anthropic is signalling that future AI systems will need to balance innovation with responsibility. For users and businesses, this means more capable tools but also systems that are designed to reduce risk from the start.&nbsp;

Anthropic has launched Claude Opus 4.7, a new AI model focused on safety, risk control and enterprise use. The model is designed to handle tasks like coding, data analysis and reasoning, while using built-in safeguards to detect and block harmful activities such as cyberattacks.

Anthropic has introduced its latest model, Claude Opus 4.7, with a strong focus on safety and responsible use. The company said the new system is designed to reduce risks linked to misuse, especially in areas such as cybersecurity, while still supporting legitimate business and research needs. According to the company’s release, the model includes automated safeguards that can detect and block high-risk or restricted activities. Claude Opus 4.7? Claude Opus 4.7 is an upgraded AI model built for tasks such as: Software development Data analysis Image understanding Complex reasoning It is part of Anthropic’s broader effort to develop advanced AI systems that remain aligned with safety standards. The company positioned Opus 4.7 as a more accessible version compared to its highly advanced “Mythos” model, which remains restricted due to potential risks. How the new safety safeguards work One of the key highlights of Claude Opus 4.7 is its built-in safety system. According to the company, the model can: Detect harmful or high-risk prompts Block or limit responses linked to cyberattacks Allow safe and legitimate security research Monitor patterns of misuse These safeguards are designed to strike a balance between usability and risk control. Anthropic said the goal is to prevent misuse without limiting productive use cases for developers and enterprises. Why AI safety is becoming important As AI models become more powerful, concerns around misuse have increased. Industry experts have raised concerns about AI being used in: Cyberattacks Data exploitation Infrastructure disruption Anthropic’s approach reflects a wider trend in the AI industry, where companies are building safety mechanisms directly into their systems. The company uses what it calls a “constitutional AI” framework, which embeds ethical rules into how the model behaves. This approach aims to ensure the system follows defined guidelines while interacting with users. Enterprise adoption and real-world use Claude Opus 4.7 has already been tested by companies including: Intuit Notion Shopify These early tests focused on practical use cases such as coding, workflow automation and data processing. According to the company, feedback from enterprise users has helped refine both performance and safety features. What this means for the AI industry The launch of Claude Opus 4.7 shows how AI development is shifting. Earlier, the focus was mainly on improving performance. Now, companies are also focusing on: Safety Compliance Risk management Anthropic’s latest model reflects this change, where capability and control are being developed together. As AI systems become more widely used, building safeguards may become as important as improving performance. Claude Opus 4.7 arrives at a time when global discussions around AI regulation and safety are increasing. By introducing stronger safeguards, Anthropic is signalling that future AI systems will need to balance innovation with responsibility. For users and businesses, this means more capable tools but also systems that are designed to reduce risk from the start.

Anthropic has launched Claude Opus 4.7, a new AI model focused on safety, risk control and enterprise use. The model is designed to handle tasks like coding, data analysis and reasoning, while using built-in safeguards to detect and block harmful activities such as cyberattacks.

Anthropic launches Claude Opus 4.7 with new safeguards to reduce high-risk AI misuse

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

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

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

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

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

Apple and Google are directing users to dozens of so-called nudifying apps, an investigation report has said. These artificial intelligence apps can be found on the Apple Store and Google Play Store with simple search terms. Such apps have been downloaded millions of times and earned millions of dollars.<h2>Nudify apps are being popularised by tech giants</h2>&nbsp;Elon Musk, who owns the AI chat app Grok, which has also faced criticism for its ability to generate sexually explicit photos and videos, shared the news with a question. “Well, how about that … ? 🤔”, asked Musk on X, the social media platform he owns, while sharing the news about the probe into nudify apps.The investigation was done by Tech Transparency Project (TTP), which said such apps were downloaded 483 million times and earned $122 million. TTP is the research wing of the nonprofit group Campaign for Accountability. The TTP report for April is a follow-up to its January report, which first documented dozens of such apps slipping through app review processes.Also read: <a href="https://www.wionews.com/entertainment/lifestyle/news-explained-what-are-deepfakes-and-how-to-spot-them-655753">Explained | What are deepfakes and how to spot them?</a><h2>Apple, Google policies on nudity are violated on their own app stores</h2>The report said Apple and Google continued to offer apps that allow users to make the non-consensual sexualised images, despite their own policies prohibiting such content. Both companies also run advertisements for similar nudifying apps when users search their app stores with relevant keywords. The iOS App Store and Google Play have explicit policies banning apps that enable non-consensual intimate imagery, deepfakes, or overtly sexual or pornographic content. But the TTP investigation found that these companies have continued to host, surface, and monetise the undress or face-swap apps, with their search, autocomplete, and advertising systems directing the users.<a href="https://www.wionews.com/videos/germany-to-criminalize-pornographic-deepfakes-the-fight-against-deepfake-abuse-1774458880287/embed">https://www.wionews.com/videos/germany-to-criminalize-pornographic-deepfakes-the-fight-against-deepfake-abuse-1774458880287/embed</a>The investigation found 46 such apps on the Apple Store and 49 on Google Play, almost similar to what was seen in its January report.The TTP investigation found that many apps are rated “E” for Everyone or 13+. Some developers are China-based and use vague descriptions. Some apps raised age ratings or added filters only after media scrutiny.Reports said that after TTP shared its findings, Apple removed 15 apps and Google suspended seven. After the January investigation, more than 24 apps were removed, but they continued to reappear. Both companies said they investigate violations and take action.<h2>How Apple and Google profit from nudify apps</h2>Calling the tech giants “key participants in the spread” of these tools, the TTP report said Apple and Google profit directly, taking up to a 30 per cent cut from in-app purchases, subscriptions, and advertising revenue.The apps have been downloaded 483 million times and generated more than $122 million in lifetime revenue, according to AppMagic estimates. The January report from TTP had found 47 apps on Apple and 55 on Google, with over 705 million downloads and $117 million in revenue, indicating persistent availability and profitability even after crackdowns.Also read: <a href="https://www.wionews.com/world/ofcom-investigation-grok-ai-mass-nudification-elon-musk-x-1768287754817">UK regulator Ofcom investigates Elon Musk’s Grok AI over ‘mass nudification’ abuse</a><h2>Celebrities, common women and even minors are not safe from nudify apps</h2>Nudify apps are a problematic aspect of AI-generated images and videos. Neither ordinary women nor celebrities are safe from these platforms. High-profile victims include Taylor Swift and Emma Watson. A UNICEF/ECPAT/INTERPOL study across 11 countries found that at least 1.2 million minors had their images manipulated into sexual deepfakes in the prior year.These apps lower the barrier to non-consensual image-based sexual abuse, turning any photo into sexual content in seconds. Studies have shown that 99 per cent of deepfake porn victims are female, with AI models trained primarily on female bodies. Many women face psychological trauma, harassment, blackmail, bullying, and reputational damage. Such apps enable “revenge porn” at scale, with perpetrators including former partners, classmates, co-workers, or strangers on the internet. There have been documented cases of suicide.&nbsp;

A new investigation claimed that Apple and Google are promoting nudify apps on their stores. These AI-generation apps create non-consensual and sexual images of women and minors. They thrive on the tech giants' app stores despite their ban policies, with millions of downloads and revenue

Apple and Google are directing users to dozens of so-called nudifying apps, an investigation report has said. These artificial intelligence apps can be found on the Apple Store and Google Play Store with simple search terms. Such apps have been downloaded millions of times and earned millions of dollars. Nudify apps are being popularised by tech giants Elon Musk, who owns the AI chat app Grok, which has also faced criticism for its ability to generate sexually explicit photos and videos, shared the news with a question. “Well, how about that … ? 🤔”, asked Musk on X, the social media platform he owns, while sharing the news about the probe into nudify apps. The investigation was done by Tech Transparency Project (TTP), which said such apps were downloaded 483 million times and earned $122 million. TTP is the research wing of the nonprofit group Campaign for Accountability. The TTP report for April is a follow-up to its January report, which first documented dozens of such apps slipping through app review processes. Also read: Explained | What are deepfakes and how to spot them? Apple, Google policies on nudity are violated on their own app stores The report said Apple and Google continued to offer apps that allow users to make the non-consensual sexualised images, despite their own policies prohibiting such content. Both companies also run advertisements for similar nudifying apps when users search their app stores with relevant keywords. The iOS App Store and Google Play have explicit policies banning apps that enable non-consensual intimate imagery, deepfakes, or overtly sexual or pornographic content. But the TTP investigation found that these companies have continued to host, surface, and monetise the undress or face-swap apps, with their search, autocomplete, and advertising systems directing the users. https://www.wionews.com/videos/germany-to-criminalize-pornographic-deepfakes-the-fight-against-deepfake-abuse-1774458880287/embed The investigation found 46 such apps on the Apple Store and 49 on Google Play, almost similar to what was seen in its January report. The TTP investigation found that many apps are rated “E” for Everyone or 13+. Some developers are China-based and use vague descriptions. Some apps raised age ratings or added filters only after media scrutiny. Reports said that after TTP shared its findings, Apple removed 15 apps and Google suspended seven. After the January investigation, more than 24 apps were removed, but they continued to reappear. Both companies said they investigate violations and take action. How Apple and Google profit from nudify apps Calling the tech giants “key participants in the spread” of these tools, the TTP report said Apple and Google profit directly, taking up to a 30 per cent cut from in-app purchases, subscriptions, and advertising revenue. The apps have been downloaded 483 million times and generated more than $122 million in lifetime revenue, according to AppMagic estimates. The January report from TTP had found 47 apps on Apple and 55 on Google, with over 705 million downloads and $117 million in revenue, indicating persistent availability and profitability even after crackdowns. Also read: UK regulator Ofcom investigates Elon Musk’s Grok AI over ‘mass nudification’ abuse Celebrities, common women and even minors are not safe from nudify apps Nudify apps are a problematic aspect of AI-generated images and videos. Neither ordinary women nor celebrities are safe from these platforms. High-profile victims include Taylor Swift and Emma Watson. A UNICEF/ECPAT/INTERPOL study across 11 countries found that at least 1.2 million minors had their images manipulated into sexual deepfakes in the prior year. These apps lower the barrier to non-consensual image-based sexual abuse, turning any photo into sexual content in seconds. Studies have shown that 99 per cent of deepfake porn victims are female, with AI models trained primarily on female bodies. Many women face psychological trauma, harassment, blackmail, bullying, and reputational damage. Such apps enable “revenge porn” at scale, with perpetrators including former partners, classmates, co-workers, or strangers on the internet. There have been documented cases of suicide.

A new investigation claimed that Apple and Google are promoting nudify apps on their stores. These AI-generation apps create non-consensual and sexual images of women and minors. They thrive on the tech giants' app stores despite their ban policies, with millions of downloads and revenue

Nudify apps on Apple and Google stores are earning millions, claims probe, and Elon Musk has a question about it

In the last few days, major US banks with deep Wall Street trading presence reported strong to record profits for the first quarter of this year. Helped by Iran war-linked market volatility, several of them posted double-digit revenue and earnings growth in January–March. The boost is clearly tied to the war, which caused sharp swings in oil prices, equities, fixed income, commodities, and currencies. Investment banks and those with large trading desks benefited the most. They emerged as the winners through higher client trading volumes, wider spreads, and rebalancing activity. Here is a roundup:<h2>War, what war? Banks showed their strongest profits in a decade</h2>Standout performers who beat or strongly exceeded analyst expectations include JPMorgan Chase, with net income of $16.49 billion, up 13 per cent year on year, on revenue of $50.54 billion, up 10 per cent. Its trading revenue hit a record $11.6 billion, up 20 per cent year on year, with fixed income up 21 per cent and equities up 17 per cent.Citigroup net income was up 42 per cent year on year at $5.8 billion on revenues of $24.6 billion, the highest in a decade and up 14 per cent. Markets revenue was up 19 per cent at $7.2 billion, with equities-linked earnings up 39 per cent.Bank of America net income was $8.6 billion, up 17 per cent, on $30.3 billion in revenue, which was up 7 per cent. Equities trading revenues were up 30 per cent, with the desk remarkably avoiding any daily losses in spite of the war-linked turbulence in the markets.Morgan Stanley net income was up 29 per cent at $5.57 billion, while revenue grew 16 per cent to $20.58 billion. It had record equities trading at $5.15 billion, up 25 per cent.Goldman Sachs net income for Q1 was $5.63 billion on revenues of $17.23 billion, up 14 per cent. It also recorded equities trading at $5.33 billion, up 27 per cent year on year.Wells Fargo net income was around $5.3 billion on six per cent revenue growth to $21.45 billion.<a href="https://www.wionews.com/videos/us-eases-sanctions-on-venezuela-central-bank-us-opens-venezuela-financial-system-1776229160726/embed">https://www.wionews.com/videos/us-eases-sanctions-on-venezuela-central-bank-us-opens-venezuela-financial-system-1776229160726/embed</a><h2>$50 billion in Q1 profits: How did US banks benefit from Iran war volatility?</h2>The net profit of banking giants neared $50 billion, with JPMorgan, Citi, and Wells Fargo alone exceeding $25 billion.The Iran war, which started with joint US-Israel air strikes on the Islamic Republic, its counterstrikes targeting Gulf states, and the disruption of the Strait of Hormuz, definitely contributed to this growth, according to analysts.Also read: <a href="https://www.wionews.com/technology/claude-mythos-ai-is-being-tested-by-major-us-banks-for-system-vulnerabilities-reports-say-1776067023017">Claude Mythos AI is being tested by major US banks for system vulnerabilities, reports say</a>&nbsp;The war led to oil price spikes and broader market volatility, creating exactly the kind of chaos that the trading desks of these banks benefit from.Combined trading revenues for JPMorgan, Goldman Sachs, Morgan Stanley, Citi, and Bank of America were on track to exceed $40 billion, the highest since at least 2014, with a near 13 per cent annual jump overall.Record or near-record earnings came from trading desks in equities, fixed income, commodities, and derivatives. The volatility led to more client flows, hedging demand, and wider bid-ask spreads, said analysts and the banks themselves, who explicitly linked the surge to the war.Without the volatility generated by the conflict, trading revenues would have been meaningfully lower. Note that pure commercial banks like Wells Fargo benefited less from this tailwind, while investment or trading-heavy banks like Goldman Sachs, JPMorgan, Citi, and Bank of America had an exceptional quarter, thanks in large part to the Iran war's market turbulence.

This week, major US banks posted nearly $50 billion in combined Q1 profits. The growth, strongest in over a decade in some cases, was driven by Iran war-linked market volatility, oil price swings, and strong trading revenues

In the last few days, major US banks with deep Wall Street trading presence reported strong to record profits for the first quarter of this year. Helped by Iran war-linked market volatility, several of them posted double-digit revenue and earnings growth in January–March. The boost is clearly tied to the war, which caused sharp swings in oil prices, equities, fixed income, commodities, and currencies. Investment banks and those with large trading desks benefited the most. They emerged as the winners through higher client trading volumes, wider spreads, and rebalancing activity. Here is a roundup: War, what war? Banks showed their strongest profits in a decade Standout performers who beat or strongly exceeded analyst expectations include JPMorgan Chase, with net income of $16.49 billion, up 13 per cent year on year, on revenue of $50.54 billion, up 10 per cent. Its trading revenue hit a record $11.6 billion, up 20 per cent year on year, with fixed income up 21 per cent and equities up 17 per cent. Citigroup net income was up 42 per cent year on year at $5.8 billion on revenues of $24.6 billion, the highest in a decade and up 14 per cent. Markets revenue was up 19 per cent at $7.2 billion, with equities-linked earnings up 39 per cent. Bank of America net income was $8.6 billion, up 17 per cent, on $30.3 billion in revenue, which was up 7 per cent. Equities trading revenues were up 30 per cent, with the desk remarkably avoiding any daily losses in spite of the war-linked turbulence in the markets. Morgan Stanley net income was up 29 per cent at $5.57 billion, while revenue grew 16 per cent to $20.58 billion. It had record equities trading at $5.15 billion, up 25 per cent. Goldman Sachs net income for Q1 was $5.63 billion on revenues of $17.23 billion, up 14 per cent. It also recorded equities trading at $5.33 billion, up 27 per cent year on year. Wells Fargo net income was around $5.3 billion on six per cent revenue growth to $21.45 billion. https://www.wionews.com/videos/us-eases-sanctions-on-venezuela-central-bank-us-opens-venezuela-financial-system-1776229160726/embed $50 billion in Q1 profits: How did US banks benefit from Iran war volatility? The net profit of banking giants neared $50 billion, with JPMorgan, Citi, and Wells Fargo alone exceeding $25 billion. The Iran war, which started with joint US-Israel air strikes on the Islamic Republic, its counterstrikes targeting Gulf states, and the disruption of the Strait of Hormuz, definitely contributed to this growth, according to analysts. Also read: Claude Mythos AI is being tested by major US banks for system vulnerabilities, reports say The war led to oil price spikes and broader market volatility, creating exactly the kind of chaos that the trading desks of these banks benefit from. Combined trading revenues for JPMorgan, Goldman Sachs, Morgan Stanley, Citi, and Bank of America were on track to exceed $40 billion, the highest since at least 2014, with a near 13 per cent annual jump overall. Record or near-record earnings came from trading desks in equities, fixed income, commodities, and derivatives. The volatility led to more client flows, hedging demand, and wider bid-ask spreads, said analysts and the banks themselves, who explicitly linked the surge to the war. Without the volatility generated by the conflict, trading revenues would have been meaningfully lower. Note that pure commercial banks like Wells Fargo benefited less from this tailwind, while investment or trading-heavy banks like Goldman Sachs, JPMorgan, Citi, and Bank of America had an exceptional quarter, thanks in large part to the Iran war's market turbulence.

This week, major US banks posted nearly $50 billion in combined Q1 profits. The growth, strongest in over a decade in some cases, was driven by Iran war-linked market volatility, oil price swings, and strong trading revenues

Banks always win: Iran war, market volatility, oil price turbulence help US giants clock $50 billion in profits

Recently, OpenAI CEO Sam Altman was ‘exposed’ as a tech founder with minimal technological skills. But he got company in Steve Jobs, Jack Ma and other tech leaders,  who built major companies through vision, leadership, and strategy despite limited coding or programming expertise

Sam Altman's coding abilities are minimal, yet he runs OpenAI. He's not alone. These top tech bosses have limited IT skills

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

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

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

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

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

There's a global race to develop AI-powered weapons in order to reshape warfare with autonomous systems. Faster decisions, rising risks of escalation, and limited regulation are on the flip side. How are nations racing for AI-augmented wars of the future? 

Weapons of Mass Automation:  AI can make war more lethal than nuclear weapons. How US, Russia, China, India and others are preparing

Apple is reportedly testing multiple design options for its upcoming smart glasses as the company prepares to enter the wearable AI and AR market. According to a report by Bloomberg’s Mark Gurman, Apple could launch its first smart glasses around 2027, with a possible early preview later this year.The report suggests that Apple is experimenting with four different frame designs while finalising the product’s appearance and functionality.<h2>Four frame styles currently under testing</h2>According to the Bloomberg report, Apple’s design teams are evaluating four potential frame shapes.These include:A large rectangular frameA slimmer rectangular frame, similar to glasses worn by Tim CookA larger oval or circular frameA smaller oval or circular frameApple is also testing different colour options such as black, ocean blue and light brown. Testing multiple designs allows Apple to understand which style users prefer before moving into full production. Industry analysts say eyewear design is particularly important because smart glasses must look similar to normal glasses to gain wider acceptance.<h2>Features expected in Apple smart glasses</h2>Unlike full augmented-reality headsets, the first generation of Apple’s smart glasses may focus on simpler features. According to the report, the device may not include a built-in display. Instead, it is expected to support functions such as:Taking photos and videosAnswering phone callsPlaying musicVoice interaction through SiriThe glasses are also expected to include small cameras integrated into the frame. These features would make the device closer to existing smart glasses such as those developed by Meta in partnership with Ray‑Ban.<h2>Shift from Apple’s earlier AR ambitions</h2>Apple had earlier planned a broader range of augmented-reality and mixed-reality devices. However, that strategy faced delays and challenges, including the high price and limited adoption of the Apple Vision Pro. The reported smart glasses project appears to take a more gradual approach, focusing first on lightweight wearable technology rather than full immersive displays. Experts say this strategy could help Apple reach a larger market while continuing research into future AR systems.<h2>Growing competition in smart wearable technology</h2>Technology companies are increasingly investing in wearable AI devices. Smart glasses are seen as one of the next major computing platforms after smartphones and smartwatches. Companies including Meta, Google and several startups are already exploring devices that combine cameras, microphones, AI assistants and connectivity. If Apple launches its own version in 2027, it could significantly expand the market for AI-powered eyewear.<h2>What happens next?</h2>For now, Apple has not officially confirmed the project. However, Bloomberg reports suggest that internal testing is progressing as the company evaluates design, features and user experience.If development continues as expected, Apple may provide an early look at the device later this year, with a commercial launch expected around 2027.The project signals Apple’s continued push into wearable technology as companies explore new ways to integrate artificial intelligence into everyday devices.

Apple is reportedly testing four design options for its upcoming smart glasses as it prepares to enter the wearable AI market. According to Mark Gurman, the device could launch around 2027, with a possible preview earlier. 


Apple is reportedly testing multiple design options for its upcoming smart glasses as the company prepares to enter the wearable AI and AR market. According to a report by Bloomberg’s Mark Gurman, Apple could launch its first smart glasses around 2027, with a possible early preview later this year. The report suggests that Apple is experimenting with four different frame designs while finalising the product’s appearance and functionality. Four frame styles currently under testing According to the Bloomberg report, Apple’s design teams are evaluating four potential frame shapes. These include: A large rectangular frame A slimmer rectangular frame, similar to glasses worn by Tim Cook A larger oval or circular frame A smaller oval or circular frame Apple is also testing different colour options such as black, ocean blue and light brown. Testing multiple designs allows Apple to understand which style users prefer before moving into full production. Industry analysts say eyewear design is particularly important because smart glasses must look similar to normal glasses to gain wider acceptance. Features expected in Apple smart glasses Unlike full augmented-reality headsets, the first generation of Apple’s smart glasses may focus on simpler features. According to the report, the device may not include a built-in display. Instead, it is expected to support functions such as: Taking photos and videos Answering phone calls Playing music Voice interaction through Siri The glasses are also expected to include small cameras integrated into the frame. These features would make the device closer to existing smart glasses such as those developed by Meta in partnership with Ray‑Ban. Shift from Apple’s earlier AR ambitions Apple had earlier planned a broader range of augmented-reality and mixed-reality devices. However, that strategy faced delays and challenges, including the high price and limited adoption of the Apple Vision Pro. The reported smart glasses project appears to take a more gradual approach, focusing first on lightweight wearable technology rather than full immersive displays. Experts say this strategy could help Apple reach a larger market while continuing research into future AR systems. Growing competition in smart wearable technology Technology companies are increasingly investing in wearable AI devices. Smart glasses are seen as one of the next major computing platforms after smartphones and smartwatches. Companies including Meta, Google and several startups are already exploring devices that combine cameras, microphones, AI assistants and connectivity. If Apple launches its own version in 2027, it could significantly expand the market for AI-powered eyewear. What happens next? For now, Apple has not officially confirmed the project. However, Bloomberg reports suggest that internal testing is progressing as the company evaluates design, features and user experience. If development continues as expected, Apple may provide an early look at the device later this year, with a commercial launch expected around 2027. The project signals Apple’s continued push into wearable technology as companies explore new ways to integrate artificial intelligence into everyday devices.

Apple is reportedly testing four design options for its upcoming smart glasses as it prepares to enter the wearable AI market. According to Mark Gurman, the device could launch around 2027, with a possible preview earlier.&nbsp;

Apple is testing four smart glasses designs as the company prepares for a possible 2027 launch

Artificial intelligence is increasingly being used to strengthen financial security systems. Several major banks in the United States are now experimenting with a new AI model developed by Anthropic to identify potential vulnerabilities in their digital infrastructure.According to reports, senior US officials recently encouraged financial institutions to test Anthropic’s new Mythos model to see whether it can detect weaknesses in complex banking systems.The discussions reportedly involved top officials including Jerome Powell and Scott Bessent, who met leading bank executives to explore how artificial intelligence could strengthen cybersecurity and risk detection.<h2>Major US banks quietly testing the AI model</h2>According to Bloomberg, several large financial institutions are already experimenting with the Mythos model. Among the banks involved is JPMorgan Chase, which has been identified as one of the early partners testing the technology. Other institutions reportedly examining the model include Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley. The goal of these trials is to evaluate whether AI can help detect security vulnerabilities before they develop into real threats. Interestingly, the Mythos system was not specifically designed as a cybersecurity tool. However, early testing suggests it may be effective at analysing complex systems and identifying hidden weaknesses.<h2>What makes the Mythos model different?</h2>The Mythos AI model was developed by Anthropic, a company based in San Francisco and widely seen as a rival to OpenAI. Instead of focusing only on chat or content generation, Mythos appears capable of analysing large technical systems and identifying potential vulnerabilities.Experts say this type of AI capability could be useful in sectors where digital infrastructure is complex and sensitive, such as banking and financial services. However, some industry observers have cautioned that the technology is still new and may not yet be ready for large-scale deployment.<h2>Controversy surrounding Anthropic</h2>Anthropic has also faced scrutiny in recent months. According to reports, the company was labelled a supply-chain risk by the US Department of Defense following disagreements over how its AI models could be used.Concerns have also emerged outside the United States. Reports from the Financial Times suggest regulators in the United Kingdom are reviewing potential risks related to the Mythos system. These discussions highlight the growing debate about how advanced AI models should be governed and monitored.<h2>Claude Code leak raises questions</h2>In a separate development, Anthropic recently faced an unexpected security issue involving its coding tool, Claude Code. A debugging file was mistakenly included in a public package, exposing internal details about the system. According to reports cited by VentureBeat, roughly 512,000 lines of TypeScript code were visible to developers who accessed the files.The leak reportedly revealed internal features designed to improve how the system handles long conversations, including a mechanism called “Self-Healing Memory”, which helps the AI manage context more effectively. Although the issue was quickly noticed by developers online, it raised questions about how AI companies manage internal development tools.<h2>Growing role of AI in financial security</h2>The testing of Mythos highlights a wider trend in the technology sector. Banks and financial institutions are increasingly exploring AI systems to improve risk detection, fraud prevention and cybersecurity.The financial industry operates some of the world’s most complex digital networks, making early detection of vulnerabilities a priority. While it remains unclear how widely the Mythos model will eventually be adopted, the interest from major banks shows how quickly AI is becoming part of financial infrastructure. For regulators and technology companies alike, the challenge now is to balance innovation with security and oversight as AI tools continue to evolve.

Major US banks are testing Claude Mythos, developed by Anthropic, to detect cybersecurity weaknesses in banking infrastructure. Institutions including JPMorgan Chase, Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley are reportedly evaluating the system. 

Artificial intelligence is increasingly being used to strengthen financial security systems. Several major banks in the United States are now experimenting with a new AI model developed by Anthropic to identify potential vulnerabilities in their digital infrastructure. According to reports, senior US officials recently encouraged financial institutions to test Anthropic’s new Mythos model to see whether it can detect weaknesses in complex banking systems. The discussions reportedly involved top officials including Jerome Powell and Scott Bessent, who met leading bank executives to explore how artificial intelligence could strengthen cybersecurity and risk detection. Major US banks quietly testing the AI model According to Bloomberg, several large financial institutions are already experimenting with the Mythos model. Among the banks involved is JPMorgan Chase, which has been identified as one of the early partners testing the technology. Other institutions reportedly examining the model include Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley. The goal of these trials is to evaluate whether AI can help detect security vulnerabilities before they develop into real threats. Interestingly, the Mythos system was not specifically designed as a cybersecurity tool. However, early testing suggests it may be effective at analysing complex systems and identifying hidden weaknesses. What makes the Mythos model different? The Mythos AI model was developed by Anthropic, a company based in San Francisco and widely seen as a rival to OpenAI. Instead of focusing only on chat or content generation, Mythos appears capable of analysing large technical systems and identifying potential vulnerabilities. Experts say this type of AI capability could be useful in sectors where digital infrastructure is complex and sensitive, such as banking and financial services. However, some industry observers have cautioned that the technology is still new and may not yet be ready for large-scale deployment. Controversy surrounding Anthropic Anthropic has also faced scrutiny in recent months. According to reports, the company was labelled a supply-chain risk by the US Department of Defense following disagreements over how its AI models could be used. Concerns have also emerged outside the United States. Reports from the Financial Times suggest regulators in the United Kingdom are reviewing potential risks related to the Mythos system. These discussions highlight the growing debate about how advanced AI models should be governed and monitored. Claude Code leak raises questions In a separate development, Anthropic recently faced an unexpected security issue involving its coding tool, Claude Code. A debugging file was mistakenly included in a public package, exposing internal details about the system. According to reports cited by VentureBeat, roughly 512,000 lines of TypeScript code were visible to developers who accessed the files. The leak reportedly revealed internal features designed to improve how the system handles long conversations, including a mechanism called “Self-Healing Memory”, which helps the AI manage context more effectively. Although the issue was quickly noticed by developers online, it raised questions about how AI companies manage internal development tools. Growing role of AI in financial security The testing of Mythos highlights a wider trend in the technology sector. Banks and financial institutions are increasingly exploring AI systems to improve risk detection, fraud prevention and cybersecurity. The financial industry operates some of the world’s most complex digital networks, making early detection of vulnerabilities a priority. While it remains unclear how widely the Mythos model will eventually be adopted, the interest from major banks shows how quickly AI is becoming part of financial infrastructure. For regulators and technology companies alike, the challenge now is to balance innovation with security and oversight as AI tools continue to evolve.

Major US banks are testing Claude Mythos, developed by Anthropic, to detect cybersecurity weaknesses in banking infrastructure. Institutions including JPMorgan Chase, Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley are reportedly evaluating the system.&nbsp;

Claude Mythos AI is being tested by major US banks for system vulnerabilities, reports say

US President Donald Trump posted an AI-generated image of what appeared to be a golden Trump Tower on the Moon. The Truth Social post led to speculation about what it meant, along with some reactions and questions about when such a luxurious building could actually come up on the Moon, if at all.<h2>The Trump Tower on Moon</h2>The AI image shows a glowing futuristic skyscraper branded with “TRUMP” in large letters, twice, placed on the lunar surface against a starry backdrop. The Trump post came after NASA’s Artemis II crewed lunar flyby mission splashed down on 10 April, generating fresh buzz about human exploration of the Moon. This post came on the same day as Trump shared another AI image depicting himself as a Jesus-like healer.Also read: <a href="https://www.wionews.com/photos/iran-us-war-to-reignite-again-trump-says-i-don-t-care-reports-claim-he-may-be-planning-limited-strikes-1776064619378">Iran-US war to reignite again? Trump says 'I don't care'; reports claim he may be planning 'limited' strikes</a><h2>Is Trump unhinged and embarrassing? Social media reaction to president’s wacky posts</h2>Reaction on social media has been swift and polarising, as with everything Trump. One user said, “He has lost what’s left of his mind,” while another called him “mental!” “The one with Trump Tower on the Moon is more embarrassing,” said a user, while another criticised his “god complex”.&nbsp;One quipped, “If Trump promises to move to the Trump Tower on the Moon, I fully support it.” “Let’s send him to scout out a suitable location,” chimed in another.<a href="https://www.wionews.com/videos/donald-trump-challenges-iran-s-control-over-strait-of-hormuz-1776046476380/embed">https://www.wionews.com/videos/donald-trump-challenges-iran-s-control-over-strait-of-hormuz-1776046476380/embed</a><h2>How far are we from human settlement on the Moon?</h2>Artemis heralded the process of returning humans to the lunar surface. But we are decades away from anything resembling permanent, self-sustaining habitats, let alone a Trump Tower, on the Moon. NASA’s Artemis II is the first crewed flight around the Moon since Apollo. Artemis IV targets the first crewed lunar landing around early 2028. Artemis V, scheduled for late 2028, will be part of roughly annual missions thereafter. These will use SpaceX and Blue Origin landers and test short-term stays on the Moon’s surface. Optimistic scenarios for crewed bases could happen by 2035.Also read: <a href="https://www.wionews.com/world/why-us-iran-talks-failed-trump-lays-out-two-reasons-for-disagreement-here-s-what-he-said-on-social-media-1776014831296">Why US-Iran talks failed? Trump lays out two reasons for disagreement. Here's what he said</a><h2>True settlement on the Moon is a long way away</h2>A self-sustaining colony with large populations, closed-loop life support, and local manufacturing is realistically up to 50 years away. Challenges include radiation, extreme temperatures, micrometeorites, low-gravity health effects, and the lack of reliable, affordable transport.Realistically, it could take another century for a Trump Tower on the Moon, or possibly never.In any case, it is not a serious plan. Skyscraper-scale buildings like a Trump Tower require massive material transport or full in-situ manufacturing, neither of which is practical.Even optimistic private visions like lunar hotels or bases do not envision Earth-like towers soon. A “golden Trump Tower” would cost trillions, face enormous engineering hurdles in low gravity, and serve no practical purpose.&nbsp;However, full marks to Trump for riding on the trend of Artemis II.

Donald Trump shared AI image of a golden Trump Tower on the Moon, sparking polarised reactions online. Real human settlement and large-scale lunar construction is decades away, and could be even pointless. But some people can indeed wish for the Moon, can't they?

US President Donald Trump posted an AI-generated image of what appeared to be a golden Trump Tower on the Moon. The Truth Social post led to speculation about what it meant, along with some reactions and questions about when such a luxurious building could actually come up on the Moon, if at all. The Trump Tower on Moon The AI image shows a glowing futuristic skyscraper branded with “TRUMP” in large letters, twice, placed on the lunar surface against a starry backdrop. The Trump post came after NASA’s Artemis II crewed lunar flyby mission splashed down on 10 April, generating fresh buzz about human exploration of the Moon. This post came on the same day as Trump shared another AI image depicting himself as a Jesus-like healer. Also read: Iran-US war to reignite again? Trump says 'I don't care'; reports claim he may be planning 'limited' strikes Is Trump unhinged and embarrassing? Social media reaction to president’s wacky posts Reaction on social media has been swift and polarising, as with everything Trump. One user said, “He has lost what’s left of his mind,” while another called him “mental!” “The one with Trump Tower on the Moon is more embarrassing,” said a user, while another criticised his “god complex”. One quipped, “If Trump promises to move to the Trump Tower on the Moon, I fully support it.” “Let’s send him to scout out a suitable location,” chimed in another. https://www.wionews.com/videos/donald-trump-challenges-iran-s-control-over-strait-of-hormuz-1776046476380/embed How far are we from human settlement on the Moon? Artemis heralded the process of returning humans to the lunar surface. But we are decades away from anything resembling permanent, self-sustaining habitats, let alone a Trump Tower, on the Moon. NASA’s Artemis II is the first crewed flight around the Moon since Apollo. Artemis IV targets the first crewed lunar landing around early 2028. Artemis V, scheduled for late 2028, will be part of roughly annual missions thereafter. These will use SpaceX and Blue Origin landers and test short-term stays on the Moon’s surface. Optimistic scenarios for crewed bases could happen by 2035. Also read: Why US-Iran talks failed? Trump lays out two reasons for disagreement. Here's what he said True settlement on the Moon is a long way away A self-sustaining colony with large populations, closed-loop life support, and local manufacturing is realistically up to 50 years away. Challenges include radiation, extreme temperatures, micrometeorites, low-gravity health effects, and the lack of reliable, affordable transport. Realistically, it could take another century for a Trump Tower on the Moon, or possibly never. In any case, it is not a serious plan. Skyscraper-scale buildings like a Trump Tower require massive material transport or full in-situ manufacturing, neither of which is practical. Even optimistic private visions like lunar hotels or bases do not envision Earth-like towers soon. A “golden Trump Tower” would cost trillions, face enormous engineering hurdles in low gravity, and serve no practical purpose. However, full marks to Trump for riding on the trend of Artemis II.

Donald Trump shared AI image of a golden Trump Tower on the Moon, sparking polarised reactions online. Real human settlement and large-scale lunar construction are decades away, and could be even pointless. But some people can indeed wish for the Moon, can't they?

Now, Trump wants a Trump Tower on Moon, shares AI image of golden building. How long will it take?

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Convicted ex-Harvard scientist, Charles Lieber, now leads China's brain-computer interface lab in Shenzhen

‘80% market share’: Why rivals are raising concerns over PhonePe, Google Pay

Elon Musk accuses OpenAI lawyer of ‘trying to trick me’ in court

‘600,000 cyberattacks a day’: Massive cyberattack wave targets UAE and Gulf

Elon Musk testifies against OpenAI in major AI industry trial

Are AI tools reducing people’s critical thinking skills?

What is distilling? US accuses China of ​industrial-scale AI system theft

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

OpenAI launches ChatGPT Images 2.0 with smarter and more accurate visuals

AI now writes most of Google’s code, says CEO Sundar Pichai

India's AI moment: Hype, investment & reality

Anthropic blocks entire company out of Claude without a reasonable explanation

Murder suspect: ChatGPT? Florida launches probe against OpenAI chatbot

Apple after Steve Jobs: Key products launched under Tim Cook

Who is John Ternus? Everything to know about Apple’s new CEO replacing Tim Cook

How much will GTA 6 cost in India? Here’s what reports suggest

Anthropic launches Claude Opus 4.7 with new safeguards to reduce AI misuse

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

Nudify apps on Apple and Google stores are earning millions. Musk has a question

War, what war? How US banks got record profits from Iran-linked volatility

Tech bosses without IT skills: Sam Altman is one of them, but he's not alone

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AI can make war more lethal than nukes: How nations are racing to automate

Apple exploring 4 frame styles for its upcoming smart glasses

US banks testing Anthropic’s Mythos AI model to identify system vulnerabilities

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What is distilling? US accuses China of industrial-scale AI system theft