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<p>Pope Leo XIV has raised concerns over the growing use of artificial intelligence, warning that unchecked automation could lead to large-scale job losses and social instability. In his first official encyclical, the Pope focused on the impact of AI on society, urging governments and corporations to act responsibly as the technology continues to expand across industries.&nbsp;</p><h2><strong>AI could trigger job losses if not managed</strong></h2><p>Pope Leo said that artificial intelligence has the potential to replace a large number of jobs if it is used without proper safeguards. He warned that mass layoffs driven by automation could create serious economic and social challenges.</p><p>According to him, replacing workers at scale could:</p><p>Increase poverty levels<br>Widen economic inequality<br>Lead to social instability</p><p>He stressed that decisions driven only by profit could worsen these risks, especially if companies prioritise efficiency over human livelihoods.</p><h2><strong>Human dignity must remain central</strong></h2><p>The Pope emphasised that technology should not undermine human dignity. He said that economic systems must remain focused on the common good rather than only financial gains. He noted that people are not just units of productivity, but individuals with social and community roles. According to him, losing meaningful work can affect not only income but also identity and well-being. He stated that “the pursuit of greater profits cannot justify choices that sacrifice jobs,” highlighting the need for ethical limits in automation.</p><h2><strong>AI still has benefits when used responsibly</strong></h2><p>Despite his concerns, Pope Leo acknowledged that artificial intelligence can bring positive change if used carefully.</p><p>He said AI can:</p><p>Reduce dangerous and repetitive work<br>Support sectors like healthcare and education<br>Improve efficiency in many industries</p><p>However, he stressed that these benefits must not come at the cost of widespread unemployment.</p><h2><strong>Call for global regulation and policy action</strong></h2><p>The encyclical placed strong emphasis on the role of governments and institutions in managing AI’s impact. The Pope called for clear policies to ensure that technological progress does not harm workers. He warned that without timely action, many people could become marginalised in a world increasingly shaped by machines and automated systems. Experts note that similar concerns are being raised globally, as policymakers debate how to regulate AI while supporting innovation.</p><h2><strong>Growing global debate on AI and jobs</strong></h2><p>The Pope’s remarks come at a time when AI adoption is accelerating across sectors such as technology, finance and manufacturing. Studies suggest that automation could affect millions of jobs in the coming years, although new roles may also emerge.</p><p>This has led to an ongoing debate about how to balance:<br>Innovation and economic growth<br>Job protection and workforce transition<br>Ethical use of technology</p><p>What this means for the future</p><p>Pope Leo’s message highlights a key issue in the AI era: how to ensure that technology benefits society as a whole. While AI is expected to continue growing, the focus is now shifting towards responsible use, fair policies and protection of workers. As governments and companies expand their use of AI, discussions around regulation and ethics are likely to intensify. The Pope’s warning adds to global calls for a balanced approach, where innovation continues but human welfare remains at the centre of decision-making.</p>

Pope Leo XIV has raised concerns over the growing use of artificial intelligence, warning that unchecked automation could lead to large-scale job losses and social instability.


Pope Leo XIV has raised concerns over the growing use of artificial intelligence, warning that unchecked automation could lead to large-scale job losses and social instability. In his first official encyclical, the Pope focused on the impact of AI on society, urging governments and corporations to act responsibly as the technology continues to expand across industries. AI could trigger job losses if not managed Pope Leo said that artificial intelligence has the potential to replace a large number of jobs if it is used without proper safeguards. He warned that mass layoffs driven by automation could create serious economic and social challenges. According to him, replacing workers at scale could: Increase poverty levels Widen economic inequality Lead to social instability He stressed that decisions driven only by profit could worsen these risks, especially if companies prioritise efficiency over human livelihoods. Human dignity must remain central The Pope emphasised that technology should not undermine human dignity. He said that economic systems must remain focused on the common good rather than only financial gains. He noted that people are not just units of productivity, but individuals with social and community roles. According to him, losing meaningful work can affect not only income but also identity and well-being. He stated that “the pursuit of greater profits cannot justify choices that sacrifice jobs,” highlighting the need for ethical limits in automation. AI still has benefits when used responsibly Despite his concerns, Pope Leo acknowledged that artificial intelligence can bring positive change if used carefully. He said AI can: Reduce dangerous and repetitive work Support sectors like healthcare and education Improve efficiency in many industries However, he stressed that these benefits must not come at the cost of widespread unemployment. Call for global regulation and policy action The encyclical placed strong emphasis on the role of governments and institutions in managing AI’s impact. The Pope called for clear policies to ensure that technological progress does not harm workers. He warned that without timely action, many people could become marginalised in a world increasingly shaped by machines and automated systems. Experts note that similar concerns are being raised globally, as policymakers debate how to regulate AI while supporting innovation. Growing global debate on AI and jobs The Pope’s remarks come at a time when AI adoption is accelerating across sectors such as technology, finance and manufacturing. Studies suggest that automation could affect millions of jobs in the coming years, although new roles may also emerge. This has led to an ongoing debate about how to balance: Innovation and economic growth Job protection and workforce transition Ethical use of technology What this means for the future Pope Leo’s message highlights a key issue in the AI era: how to ensure that technology benefits society as a whole. While AI is expected to continue growing, the focus is now shifting towards responsible use, fair policies and protection of workers. As governments and companies expand their use of AI, discussions around regulation and ethics are likely to intensify. The Pope’s warning adds to global calls for a balanced approach, where innovation continues but human welfare remains at the centre of decision-making.

<p>Pope Leo XIV has raised concerns over the growing use of artificial intelligence, warning that unchecked automation could lead to large-scale job losses and social instability.</p>

‘Future of work’: Pope Leo XIV warns of AI-led job losses, calls for responsible use of technology

<p>Google has announced its entry into the AI smart glasses market, partnering with Gentle Monster and Warby Parker to launch its own intelligent eyewear. The move places Google in direct competition with Meta, which currently leads the segment with its Ray-Ban smart glasses developed alongside EssilorLuxottica.&nbsp;</p><p>Google said its smart glasses will be launched in the Northern Hemisphere autumn and will allow users to access directions, take photos, send messages and interact with its voice assistant through audio-based commands.</p><h2><strong>What Google’s AI smart glasses offer</strong></h2><p>Google’s glasses are designed to provide an AI-first experience. According to the company, the device will connect with users’ smartphones and act as a real-time assistant.</p><p>Key features include:</p><p>Voice-based interaction using Google Assistant<br>Navigation and directions support<br>Photo capture and messaging<br>Real-time information access</p><p>Google has also confirmed plans to add built-in displays and augmented reality (AR) features in future versions, which could expand the device beyond basic audio interaction.</p><h2><strong>How Meta’s smart glasses currently lead the market</strong></h2><p>Meta’s Ray-Ban smart glasses already have a strong presence in the market. The device allows users to:</p><p>Take photos and videos<br>Stream content live<br>Use voice commands via Meta AI<br>Listen to music and make calls</p><p>Industry estimates suggest Meta has shipped millions of units globally, giving it an early advantage in user adoption and brand recognition in the smart glasses category.</p><h2><strong>Key differences: Google vs Meta smart glasses</strong></h2><p>While both companies are focusing on AI-powered wearables, their approaches show some differences.</p><p><strong>Google’s strategy focuses on:</strong><br>Deeper AI integration using its ecosystem<br>Future AR capabilities<br>Strong smartphone connectivity</p><p><strong>Meta’s approach focuses on:</strong><br>Social media integration<br>Content creation and sharing<br>Established hardware partnerships</p><p>Google’s long-term plan to introduce AR displays could give it an edge if successfully implemented, while Meta currently benefits from a mature product already in the market.</p><figure class="image"><img src="https://preview.redd.it/google-glasses-vs-mtrbd-v0-w0qmvpyr07dg1.jpeg?auto=webp&amp;s=48d9083e5f46208ef8e20310d1900a54f1b8e4cb" alt="Google glasses vs MTRBD 🔥 : r/augmentedreality"></figure><h2><strong>Why the smart glasses market is growing</strong></h2><p>The wearable technology market is expanding as companies look to move beyond smartphones. AI-powered glasses are seen as the next step in personal computing.<br>According to industry reports, demand is increasing for devices that:<br>Provide hands-free interaction<br>Offer real-time assistance<br>Reduce reliance on screens<br>This has led major technology companies to invest in the category, making it one of the fastest-growing segments in consumer tech.</p><h2><strong>What this means for the tech industry</strong></h2><p>Google’s entry signals increased competition in the AI wearables space. With multiple companies developing similar products, innovation is expected to accelerate.</p><p>The competition may lead to:<br>Better features and performance<br>Wider adoption of smart glasses<br>More affordable devices over time</p><p>Google is expected to share more details on pricing and availability closer to launch. Meanwhile, Meta is likely to continue expanding its product line and AI capabilities. The coming months could shape the future of AI-powered wearables, as Google and Meta compete to define how users interact with technology beyond smartphones.</p>

Google has announced its entry into the AI smart glasses market, partnering with Gentle Monster and Warby Parker to launch its own intelligent eyewear.


Google has announced its entry into the AI smart glasses market, partnering with Gentle Monster and Warby Parker to launch its own intelligent eyewear. The move places Google in direct competition with Meta, which currently leads the segment with its Ray-Ban smart glasses developed alongside EssilorLuxottica. Google said its smart glasses will be launched in the Northern Hemisphere autumn and will allow users to access directions, take photos, send messages and interact with its voice assistant through audio-based commands. What Google’s AI smart glasses offer Google’s glasses are designed to provide an AI-first experience. According to the company, the device will connect with users’ smartphones and act as a real-time assistant. Key features include: Voice-based interaction using Google Assistant Navigation and directions support Photo capture and messaging Real-time information access Google has also confirmed plans to add built-in displays and augmented reality (AR) features in future versions, which could expand the device beyond basic audio interaction. How Meta’s smart glasses currently lead the market Meta’s Ray-Ban smart glasses already have a strong presence in the market. The device allows users to: Take photos and videos Stream content live Use voice commands via Meta AI Listen to music and make calls Industry estimates suggest Meta has shipped millions of units globally, giving it an early advantage in user adoption and brand recognition in the smart glasses category. Key differences: Google vs Meta smart glasses While both companies are focusing on AI-powered wearables, their approaches show some differences. Google’s strategy focuses on: Deeper AI integration using its ecosystem Future AR capabilities Strong smartphone connectivity Meta’s approach focuses on: Social media integration Content creation and sharing Established hardware partnerships Google’s long-term plan to introduce AR displays could give it an edge if successfully implemented, while Meta currently benefits from a mature product already in the market. Why the smart glasses market is growing The wearable technology market is expanding as companies look to move beyond smartphones. AI-powered glasses are seen as the next step in personal computing. According to industry reports, demand is increasing for devices that: Provide hands-free interaction Offer real-time assistance Reduce reliance on screens This has led major technology companies to invest in the category, making it one of the fastest-growing segments in consumer tech. What this means for the tech industry Google’s entry signals increased competition in the AI wearables space. With multiple companies developing similar products, innovation is expected to accelerate. The competition may lead to: Better features and performance Wider adoption of smart glasses More affordable devices over time Google is expected to share more details on pricing and availability closer to launch. Meanwhile, Meta is likely to continue expanding its product line and AI capabilities. The coming months could shape the future of AI-powered wearables, as Google and Meta compete to define how users interact with technology beyond smartphones.

<p>Google has announced its entry into the AI smart glasses market, partnering with Gentle Monster and Warby Parker to launch its own intelligent eyewear.</p>

Can it challenge Meta’s lead? Google enters AI smart glasses market, set to challenge Ray-Ban dominance

<p>Sundar Pichai has said that concerns around artificial intelligence and its impact on jobs are valid, but believes the next generation will adapt and create new opportunities as the technology evolves. His remarks come ahead of his upcoming commencement speech at Stanford University, where AI and its impact on careers is expected to be a key topic.&nbsp;</p><h2><strong>AI fears are understandable, says Pichai</strong></h2><p>Speaking recently, Pichai acknowledged that many students and professionals are worried about how AI could change the job market. He said these concerns are natural, given the speed and scale at which the technology is developing. According to him, people are not used to handling such rapid change, which makes uncertainty around jobs and economic stability more intense. He noted that conversations about job loss and disruption are already widespread, and they reflect genuine concerns about the future.</p><h2><strong>Why Pichai remains optimistic about AI</strong></h2><p>Despite these concerns, Pichai said he does not agree with the most negative predictions about AI replacing large numbers of jobs. Instead, he believes that every generation faces major technological shifts and eventually adapts.</p><p>He said today’s students will not only experience the impact of AI but will also play a role in shaping how the technology is used. According to him, the next generation will help define the future of AI rather than just react to it.</p><h2><strong>AI will change jobs, not just remove them</strong></h2><p>Pichai explained that AI is likely to transform how work is done rather than simply eliminate jobs. He compared its impact to earlier technologies like spreadsheets, which changed how people performed tasks but also increased productivity.</p><p>AI, he said, could create a new baseline of skills, allowing more people to perform complex tasks that earlier required specialised training. This could lead to new types of roles and opportunities across industries.</p><h2><strong>Need for responsible approach to AI</strong></h2><p>At the same time, Pichai stressed that governments, companies and society must take the impact of AI seriously. He said discussions around job displacement and economic change are important and should not be ignored.</p><p>While there is optimism about AI’s potential, he emphasised that managing its risks and ensuring fair outcomes will be equally important.</p><h2><strong>What this means for students and workforce</strong></h2><p>Pichai’s message suggests that while AI will bring disruption, it will also open new paths for innovation and growth. Students entering the workforce today may face a different job landscape, but they will also have tools that can improve productivity and creativity. As AI continues to develop, the focus will remain on balancing innovation with responsibility. Pichai’s remarks reflect a broader view in the tech industry that while change is inevitable, adaptation and new opportunities are likely to follow. The development highlights a key idea shaping the AI debate today: fear and opportunity are both part of the transition, and how society responds will define the outcome.</p>

Sundar Pichai has said that concerns around artificial intelligence and its impact on jobs are valid, but believes the next generation will adapt and create new opportunities as the technology evolves.


Sundar Pichai has said that concerns around artificial intelligence and its impact on jobs are valid, but believes the next generation will adapt and create new opportunities as the technology evolves. His remarks come ahead of his upcoming commencement speech at Stanford University, where AI and its impact on careers is expected to be a key topic. AI fears are understandable, says Pichai Speaking recently, Pichai acknowledged that many students and professionals are worried about how AI could change the job market. He said these concerns are natural, given the speed and scale at which the technology is developing. According to him, people are not used to handling such rapid change, which makes uncertainty around jobs and economic stability more intense. He noted that conversations about job loss and disruption are already widespread, and they reflect genuine concerns about the future. Why Pichai remains optimistic about AI Despite these concerns, Pichai said he does not agree with the most negative predictions about AI replacing large numbers of jobs. Instead, he believes that every generation faces major technological shifts and eventually adapts. He said today’s students will not only experience the impact of AI but will also play a role in shaping how the technology is used. According to him, the next generation will help define the future of AI rather than just react to it. AI will change jobs, not just remove them Pichai explained that AI is likely to transform how work is done rather than simply eliminate jobs. He compared its impact to earlier technologies like spreadsheets, which changed how people performed tasks but also increased productivity. AI, he said, could create a new baseline of skills, allowing more people to perform complex tasks that earlier required specialised training. This could lead to new types of roles and opportunities across industries. Need for responsible approach to AI At the same time, Pichai stressed that governments, companies and society must take the impact of AI seriously. He said discussions around job displacement and economic change are important and should not be ignored. While there is optimism about AI’s potential, he emphasised that managing its risks and ensuring fair outcomes will be equally important. What this means for students and workforce Pichai’s message suggests that while AI will bring disruption, it will also open new paths for innovation and growth. Students entering the workforce today may face a different job landscape, but they will also have tools that can improve productivity and creativity. As AI continues to develop, the focus will remain on balancing innovation with responsibility. Pichai’s remarks reflect a broader view in the tech industry that while change is inevitable, adaptation and new opportunities are likely to follow. The development highlights a key idea shaping the AI debate today: fear and opportunity are both part of the transition, and how society responds will define the outcome.

<p>Sundar Pichai has said that concerns around artificial intelligence and its impact on jobs are valid, but believes the next generation will adapt and create new opportunities as the technology evolves.</p>

‘AI and jobs’: What Sundar Pichai told students about the future

<p>Cloudflare CEO Matthew Prince has said that artificial intelligence could replace a large category of jobs, particularly those linked to middle management and internal performance tracking, as companies rethink their workforce structure. His comments come as Cloudflare announced it is cutting around 20 per cent of its workforce, or about 1,100 employees, despite reporting strong revenue growth and an expanding customer base.&nbsp;</p><h2><strong>Why Cloudflare is reducing jobs</strong></h2><p>According to Prince, most of the roles affected by layoffs were what he described as “measurer” roles. These include positions in:</p><p>Middle management<br>Finance and accounting<br>Legal and compliance<br>Internal auditing<br>Revenue tracking</p><p>He said these roles primarily focus on measuring and evaluating organisational performance, tasks that AI systems can now handle more efficiently.</p><h2><strong>How AI is replacing ‘measurer’ roles</strong></h2><p>Prince argued that modern AI systems are capable of analysing company data with greater speed and accuracy than humans. He described AI as:</p><p>Constantly available<br>Independent in decision-making<br>More precise in analysing performance</p><p>This allows organisations to rely less on human oversight for routine measurement tasks, leading to reduced demand for certain roles.</p><h2><strong>Which jobs may remain safer for now</strong></h2><p>While some roles are being reduced, Prince suggested that “builders” and “sellers” are likely to remain in demand.</p><p>These include:</p><p>Engineers and developers who create products<br>Sales teams who generate revenue<br>Cloudflare has indicated that it will continue hiring in these areas, reflecting a shift towards roles that directly contribute to growth.</p><h2><strong>AI layoffs becoming a wider trend</strong></h2><p>Cloudflare’s move is part of a broader trend across the technology industry. Several companies have linked job cuts to increased use of AI. Reports indicate that more than 49,000 job cuts in the United States in 2026 have been connected to AI-driven changes, according to data from Challenger, Gray &amp; Christmas. Other companies, including Meta and Block, have also reduced staff while investing heavily in AI technologies.</p><h2><strong>Debate over ‘AI-driven layoffs’</strong></h2><p>Not all experts agree that AI is the only reason behind these layoffs. Some analysts describe the trend as “AI washing”, where companies attribute job cuts to AI while also managing costs or adjusting after over-hiring during the pandemic. For example, venture capitalist Marc Andreessen has argued that many firms are still correcting workforce levels following rapid expansion in previous years.</p><h2><strong>What research says about AI and jobs</strong></h2><p>Studies by Anthropic suggest that AI tools are increasingly capable of handling tasks in areas such as finance, legal work and management. However, the research also notes that no role is completely immune to automation, including engineering and sales over the long term.</p><h2><strong>What this means for the future of work</strong></h2><p>The shift at Cloudflare highlights how AI is beginning to reshape organisational structures. Companies are moving away from roles focused on oversight and measurement towards roles that build products and drive revenue. While AI may reduce certain job categories, it is also changing the skills required in the workforce. As AI adoption increases, more companies are expected to review their workforce strategies. The balance between automation and human roles will remain a key issue for businesses and policymakers. The development shows that AI is not only changing technology, but also how companies are structured and how work is organised.</p>

Cloudflare CEO Matthew Prince has said that artificial intelligence could replace a large category of jobs, particularly those linked to middle management and internal performance tracking, as companies rethink their workforce structure.


Cloudflare CEO Matthew Prince has said that artificial intelligence could replace a large category of jobs, particularly those linked to middle management and internal performance tracking, as companies rethink their workforce structure. His comments come as Cloudflare announced it is cutting around 20 per cent of its workforce, or about 1,100 employees, despite reporting strong revenue growth and an expanding customer base. Why Cloudflare is reducing jobs According to Prince, most of the roles affected by layoffs were what he described as “measurer” roles. These include positions in: Middle management Finance and accounting Legal and compliance Internal auditing Revenue tracking He said these roles primarily focus on measuring and evaluating organisational performance, tasks that AI systems can now handle more efficiently. How AI is replacing ‘measurer’ roles Prince argued that modern AI systems are capable of analysing company data with greater speed and accuracy than humans. He described AI as: Constantly available Independent in decision-making More precise in analysing performance This allows organisations to rely less on human oversight for routine measurement tasks, leading to reduced demand for certain roles. Which jobs may remain safer for now While some roles are being reduced, Prince suggested that “builders” and “sellers” are likely to remain in demand. These include: Engineers and developers who create products Sales teams who generate revenue Cloudflare has indicated that it will continue hiring in these areas, reflecting a shift towards roles that directly contribute to growth. AI layoffs becoming a wider trend Cloudflare’s move is part of a broader trend across the technology industry. Several companies have linked job cuts to increased use of AI. Reports indicate that more than 49,000 job cuts in the United States in 2026 have been connected to AI-driven changes, according to data from Challenger, Gray & Christmas. Other companies, including Meta and Block, have also reduced staff while investing heavily in AI technologies. Debate over ‘AI-driven layoffs’ Not all experts agree that AI is the only reason behind these layoffs. Some analysts describe the trend as “AI washing”, where companies attribute job cuts to AI while also managing costs or adjusting after over-hiring during the pandemic. For example, venture capitalist Marc Andreessen has argued that many firms are still correcting workforce levels following rapid expansion in previous years. What research says about AI and jobs Studies by Anthropic suggest that AI tools are increasingly capable of handling tasks in areas such as finance, legal work and management. However, the research also notes that no role is completely immune to automation, including engineering and sales over the long term. What this means for the future of work The shift at Cloudflare highlights how AI is beginning to reshape organisational structures. Companies are moving away from roles focused on oversight and measurement towards roles that build products and drive revenue. While AI may reduce certain job categories, it is also changing the skills required in the workforce. As AI adoption increases, more companies are expected to review their workforce strategies. The balance between automation and human roles will remain a key issue for businesses and policymakers. The development shows that AI is not only changing technology, but also how companies are structured and how work is organised.

<p>Cloudflare CEO Matthew Prince has said that artificial intelligence could replace a large category of jobs, particularly those linked to middle management and internal performance tracking, as companies rethink their workforce structure.</p>

‘AI layoffs trend’: What Cloudflare’s move signals for industry

<p>OpenAI is preparing for a future where artificial intelligence systems could improve themselves without direct human involvement, according to recent reports. The company is now hiring safety researchers to study the risks linked to this development, known as recursive self-improvement, where AI systems train better versions of themselves. This shift comes as AI capabilities continue to grow rapidly, with companies exploring how far automation can go in research and software development.</p><h2><strong>What is self-improving AI and why it matters</strong></h2><p>Recursive self-improvement refers to AI systems that can upgrade their own performance without relying heavily on human input. In simple terms, an AI system could build a smarter version of itself, which could then repeat the process. This idea, once limited to theory, is now being actively explored as AI tools improve. Reports suggest that the amount of work AI systems can handle is increasing quickly, with some studies indicating that their capabilities are doubling roughly every seven months. If this trend continues, AI systems could eventually handle complex tasks that currently require human researchers and engineers.</p><h2><strong>Why OpenAI is hiring safety researchers</strong></h2><p>OpenAI’s hiring move shows that the company is not only building advanced systems but also preparing for the risks they may bring. The role focuses on studying problems that may arise in the future, even if they do not exist today.</p><p>The researchers will work on areas such as:<br>Preventing data poisoning attacks<br>Understanding how AI systems make decisions<br>Studying risks linked to highly autonomous systems<br>Tracking how AI tools are replacing human technical work<br>The company has described this work as urgent, with potential impact on both industry and society.</p><h2><strong>AI automation and impact on jobs</strong></h2><p>One of the key points in the job listing is the need to track the “automation of technical staff”. This includes measuring how AI tools, such as coding assistants, are replacing or supporting human engineers.</p><p>Industry research suggests that AI could soon handle a large share of software tasks that currently take humans days or weeks to complete. This raises questions about the future of jobs in research, engineering and development. At the same time, companies continue to hire experts to manage and guide these systems, showing a shift in the nature of work rather than a complete replacement.</p><h2><strong>OpenAI’s long-term AI vision</strong></h2><p>OpenAI CEO Sam Altman has previously outlined the company’s goals, including building an “automated AI research intern” in the near term and a fully automated AI researcher by 2028. While he has acknowledged that these goals may not be achieved, the company continues to invest in this direction, reflecting strong belief in the long-term potential of AI.</p><h2><strong>Global race in self-improving AI</strong></h2><p>Other companies are also exploring similar ideas. Anthropic has published research on using AI systems to monitor stronger AI models, while experts estimate there is a 60 per cent chance that AI research could happen without direct human involvement by the end of this decade. This shows that the race towards advanced AI is not limited to one company but is a broader industry trend. The development highlights a key shift in artificial intelligence: moving from tools that assist humans to systems that may operate independently. While this could improve efficiency and innovation, it also raises concerns about control, safety and employment. For now, companies like OpenAI are trying to balance progress with preparation, ensuring that as AI becomes more capable, its risks are understood and managed.</p>

OpenAI is preparing for a future where artificial intelligence systems could improve themselves without direct human involvement, according to recent reports. 


OpenAI is preparing for a future where artificial intelligence systems could improve themselves without direct human involvement, according to recent reports. The company is now hiring safety researchers to study the risks linked to this development, known as recursive self-improvement, where AI systems train better versions of themselves. This shift comes as AI capabilities continue to grow rapidly, with companies exploring how far automation can go in research and software development. What is self-improving AI and why it matters Recursive self-improvement refers to AI systems that can upgrade their own performance without relying heavily on human input. In simple terms, an AI system could build a smarter version of itself, which could then repeat the process. This idea, once limited to theory, is now being actively explored as AI tools improve. Reports suggest that the amount of work AI systems can handle is increasing quickly, with some studies indicating that their capabilities are doubling roughly every seven months. If this trend continues, AI systems could eventually handle complex tasks that currently require human researchers and engineers. Why OpenAI is hiring safety researchers OpenAI’s hiring move shows that the company is not only building advanced systems but also preparing for the risks they may bring. The role focuses on studying problems that may arise in the future, even if they do not exist today. The researchers will work on areas such as: Preventing data poisoning attacks Understanding how AI systems make decisions Studying risks linked to highly autonomous systems Tracking how AI tools are replacing human technical work The company has described this work as urgent, with potential impact on both industry and society. AI automation and impact on jobs One of the key points in the job listing is the need to track the “automation of technical staff”. This includes measuring how AI tools, such as coding assistants, are replacing or supporting human engineers. Industry research suggests that AI could soon handle a large share of software tasks that currently take humans days or weeks to complete. This raises questions about the future of jobs in research, engineering and development. At the same time, companies continue to hire experts to manage and guide these systems, showing a shift in the nature of work rather than a complete replacement. OpenAI’s long-term AI vision OpenAI CEO Sam Altman has previously outlined the company’s goals, including building an “automated AI research intern” in the near term and a fully automated AI researcher by 2028. While he has acknowledged that these goals may not be achieved, the company continues to invest in this direction, reflecting strong belief in the long-term potential of AI. Global race in self-improving AI Other companies are also exploring similar ideas. Anthropic has published research on using AI systems to monitor stronger AI models, while experts estimate there is a 60 per cent chance that AI research could happen without direct human involvement by the end of this decade. This shows that the race towards advanced AI is not limited to one company but is a broader industry trend. The development highlights a key shift in artificial intelligence: moving from tools that assist humans to systems that may operate independently. While this could improve efficiency and innovation, it also raises concerns about control, safety and employment. For now, companies like OpenAI are trying to balance progress with preparation, ensuring that as AI becomes more capable, its risks are understood and managed.

<p>OpenAI is preparing for a future where artificial intelligence systems could improve themselves without direct human involvement, according to recent reports.&nbsp;</p>

‘Future of work’: How OpenAI’s self-improving AI model is preparing to replace research jobs

<p>Google DeepMind has said its artificial intelligence system AlphaProof Nexus has solved several long-standing mathematical problems, including some that remained unsolved for more than 50 years. The development has drawn attention across the AI community, especially as debates grow around whether such breakthroughs signal progress towards artificial general intelligence (AGI).</p><p>According to researchers, the system solved nine open problems related to mathematician Paul Erdős, along with 44 open conjectures and a 15-year-old problem in algebraic geometry, showing how AI is increasingly being used in advanced scientific research.</p><h2><strong>How Google’s AI solved complex maths problems</strong></h2><p>The system, called AlphaProof Nexus, works by combining AI reasoning with a formal verification tool known as Lean. Instead of just generating answers, the AI produces step-by-step proofs, which are then checked automatically by the system.</p><p>This approach helps ensure that:</p><p>Every logical step is verified<br>Incorrect assumptions are rejected<br>The final proof meets strict mathematical standards</p><p>Researchers said the cost of solving each problem was only a few hundred dollars in computing power, highlighting how efficient such systems can be.</p><h2><strong>Why ‘hallucinations’ remain a concern</strong></h2><p>One of the key challenges in AI-generated mathematics is the issue of hallucinations, where systems produce results that appear correct but contain hidden errors.</p><p>Experts explain that AI models may:</p><p>Invent new statements that are not proven<br>Skip difficult parts of a problem<br>Present incomplete proofs as finished</p><p>To address this, Google’s system uses Lean to verify every step, reducing the risk of such errors and making the results more reliable.</p><h2><strong>How this compares with other AI developments</strong></h2><p>The announcement comes shortly after OpenAI said one of its models solved a well-known mathematical problem. However, OpenAI relied on external experts to verify the result, while DeepMind used automated verification.</p><p>This difference highlights two approaches in the AI industry:</p><p>Human-reviewed proofs<br>Machine-verified proofs<br>Researchers believe combining both methods may improve future results.</p><h2><strong>Does this mean AI is reaching AGI?</strong></h2><p><br>Despite the progress, Demis Hassabis has said that current AI systems are still far from achieving AGI. He explained that solving specific problems does not mean AI can match human intelligence across all areas. True AGI would require:<br>Creativity across different fields<br>Independent reasoning<br>Ability to generate original ideas<br>According to Hassabis, today’s systems are powerful tools but do not yet show the level of understanding seen in human experts.</p><h2><strong>What this means for research and industry</strong></h2><p><br>The development shows how AI is becoming a useful assistant in scientific research. Instead of replacing mathematicians, these systems can help:</p><p>Explore complex problems faster<br>Check proofs more efficiently<br>Support researchers in difficult areas</p><p>Experts say this could change how mathematics and science are conducted in the future. As AI models continue to improve, their role in research is expected to expand. However, the debate around safety, accuracy and long-term capabilities will remain important. For now, while AI can solve complex mathematical problems, it is still seen as a specialised tool rather than a system with general intelligence</p>

Google DeepMind has said its artificial intelligence system AlphaProof Nexus has solved several long-standing mathematical problems, including some that remained unsolved for more than 50 years.


Google DeepMind has said its artificial intelligence system AlphaProof Nexus has solved several long-standing mathematical problems, including some that remained unsolved for more than 50 years. The development has drawn attention across the AI community, especially as debates grow around whether such breakthroughs signal progress towards artificial general intelligence (AGI). According to researchers, the system solved nine open problems related to mathematician Paul Erdős, along with 44 open conjectures and a 15-year-old problem in algebraic geometry, showing how AI is increasingly being used in advanced scientific research. How Google’s AI solved complex maths problems The system, called AlphaProof Nexus, works by combining AI reasoning with a formal verification tool known as Lean. Instead of just generating answers, the AI produces step-by-step proofs, which are then checked automatically by the system. This approach helps ensure that: Every logical step is verified Incorrect assumptions are rejected The final proof meets strict mathematical standards Researchers said the cost of solving each problem was only a few hundred dollars in computing power, highlighting how efficient such systems can be. Why ‘hallucinations’ remain a concern One of the key challenges in AI-generated mathematics is the issue of hallucinations, where systems produce results that appear correct but contain hidden errors. Experts explain that AI models may: Invent new statements that are not proven Skip difficult parts of a problem Present incomplete proofs as finished To address this, Google’s system uses Lean to verify every step, reducing the risk of such errors and making the results more reliable. How this compares with other AI developments The announcement comes shortly after OpenAI said one of its models solved a well-known mathematical problem. However, OpenAI relied on external experts to verify the result, while DeepMind used automated verification. This difference highlights two approaches in the AI industry: Human-reviewed proofs Machine-verified proofs Researchers believe combining both methods may improve future results. Does this mean AI is reaching AGI? Despite the progress, Demis Hassabis has said that current AI systems are still far from achieving AGI. He explained that solving specific problems does not mean AI can match human intelligence across all areas. True AGI would require: Creativity across different fields Independent reasoning Ability to generate original ideas According to Hassabis, today’s systems are powerful tools but do not yet show the level of understanding seen in human experts. What this means for research and industry The development shows how AI is becoming a useful assistant in scientific research. Instead of replacing mathematicians, these systems can help: Explore complex problems faster Check proofs more efficiently Support researchers in difficult areas Experts say this could change how mathematics and science are conducted in the future. As AI models continue to improve, their role in research is expected to expand. However, the debate around safety, accuracy and long-term capabilities will remain important. For now, while AI can solve complex mathematical problems, it is still seen as a specialised tool rather than a system with general intelligence

<p>Google DeepMind has said its artificial intelligence system AlphaProof Nexus has solved several long-standing mathematical problems, including some that remained unsolved for more than 50 years.</p>

Google AI solves decades-old maths problems, but DeepMind CEO says AGI is still far away

<p>OpenAI is offering a salary of up to $445,000 (around Rs 3.7 crore) for a specialised safety researcher role, highlighting growing concerns around advanced artificial intelligence systems that could improve themselves.<br>According to a recent job listing, the company is hiring for its “Preparedness” team to study risks linked to recursive self-improvement, a concept where AI systems can train and improve newer versions of themselves.</p><h2><strong>What the role involves</strong></h2><p><br>The job focuses on preparing for future risks rather than solving current problems. OpenAI has said the role requires people who can think about challenges that may not yet exist.</p><p>The researcher is expected to:</p><p>Study how AI systems could improve themselves<br>Identify risks such as data poisoning<br>Build tools to understand AI decision-making<br>Track how AI tools replace human technical work</p><p>The company has described the role as needing individuals who are “tasteful and strategic”, meaning they must make careful and well-judged decisions in uncertain situations.</p><h2><strong>Why AI companies are focusing on self-improving systems</strong></h2><p>The hiring comes at a time when AI systems are improving rapidly. Recent research suggests that the complexity of tasks AI models can handle is doubling roughly every seven months. This means AI tools are increasingly able to perform tasks that would take human developers days or weeks. Companies like OpenAI and Anthropic are working towards systems that can assist in research or even automate parts of it. OpenAI CEO Sam Altman has earlier said the company aims to develop an “automated AI researcher” in the coming years, with a long-term goal of building systems that can independently conduct research.</p><h2><strong>Concerns around AI risks and safety</strong></h2><p>The idea of self-improving AI has raised concerns among researchers. Experts warn that such systems could become difficult to control if they improve faster than human oversight. According to industry research, there is a possibility that AI could eventually handle a large share of software development tasks, raising questions about control, safety and accountability.</p><p>OpenAI’s Preparedness team is working on preventing severe risks, including:</p><p>Cybersecurity threats<br>Misuse of AI systems<br>Biological and chemical risks<br>Autonomous AI behaviour</p><h2><strong>What competitors are doing</strong></h2><p>Other AI companies are also exploring similar areas. Anthropic has published research on using AI systems to monitor stronger AI models, while Google DeepMind has highlighted the rapid pace of AI development. Experts like Demis Hassabis have described current progress as an early stage of a possible “AI singularity”, where systems may begin improving themselves beyond human capability.</p><h2><strong>Why salaries are rising in AI sector</strong></h2><p><br>The high salary for this role reflects strong competition for talent in the AI industry. Companies are investing heavily in researchers who can handle complex technical and ethical challenges. As AI systems become more powerful, demand for safety experts is increasing alongside demand for engineers and developers.</p><p><strong>What this means for the future</strong></p><p>OpenAI’s hiring shows that the focus in AI is shifting from building models to managing their impact. While the technology continues to advance, companies are also preparing for long-term risks. The development highlights a key trend in the industry: as AI becomes more capable, ensuring safety and control is becoming as important as innovation itself</p>

OpenAI is offering a salary of up to $445,000 (around Rs 3.7 crore) for a specialised safety researcher role, highlighting growing concerns around advanced artificial intelligence systems that could improve themselves.

OpenAI is offering a salary of up to $445,000 (around Rs 3.7 crore) for a specialised safety researcher role, highlighting growing concerns around advanced artificial intelligence systems that could improve themselves. According to a recent job listing, the company is hiring for its “Preparedness” team to study risks linked to recursive self-improvement, a concept where AI systems can train and improve newer versions of themselves. What the role involves The job focuses on preparing for future risks rather than solving current problems. OpenAI has said the role requires people who can think about challenges that may not yet exist. The researcher is expected to: Study how AI systems could improve themselves Identify risks such as data poisoning Build tools to understand AI decision-making Track how AI tools replace human technical work The company has described the role as needing individuals who are “tasteful and strategic”, meaning they must make careful and well-judged decisions in uncertain situations. Why AI companies are focusing on self-improving systems The hiring comes at a time when AI systems are improving rapidly. Recent research suggests that the complexity of tasks AI models can handle is doubling roughly every seven months. This means AI tools are increasingly able to perform tasks that would take human developers days or weeks. Companies like OpenAI and Anthropic are working towards systems that can assist in research or even automate parts of it. OpenAI CEO Sam Altman has earlier said the company aims to develop an “automated AI researcher” in the coming years, with a long-term goal of building systems that can independently conduct research. Concerns around AI risks and safety The idea of self-improving AI has raised concerns among researchers. Experts warn that such systems could become difficult to control if they improve faster than human oversight. According to industry research, there is a possibility that AI could eventually handle a large share of software development tasks, raising questions about control, safety and accountability. OpenAI’s Preparedness team is working on preventing severe risks, including: Cybersecurity threats Misuse of AI systems Biological and chemical risks Autonomous AI behaviour What competitors are doing Other AI companies are also exploring similar areas. Anthropic has published research on using AI systems to monitor stronger AI models, while Google DeepMind has highlighted the rapid pace of AI development. Experts like Demis Hassabis have described current progress as an early stage of a possible “AI singularity”, where systems may begin improving themselves beyond human capability. Why salaries are rising in AI sector The high salary for this role reflects strong competition for talent in the AI industry. Companies are investing heavily in researchers who can handle complex technical and ethical challenges. As AI systems become more powerful, demand for safety experts is increasing alongside demand for engineers and developers. What this means for the future OpenAI’s hiring shows that the focus in AI is shifting from building models to managing their impact. While the technology continues to advance, companies are also preparing for long-term risks. The development highlights a key trend in the industry: as AI becomes more capable, ensuring safety and control is becoming as important as innovation itself

<p>OpenAI is offering a salary of up to $445,000 (around Rs 3.7 crore) for a specialised safety researcher role, highlighting growing concerns around advanced artificial intelligence systems that could improve themselves.</p>

OpenAI offers up to $445,000 for AI safety role as focus shifts to self-improving systems

<p>Andrej Karpathy, a former co-founder of OpenAI and ex-head of AI at Tesla, has joined Anthropic, marking a significant move in the global artificial intelligence talent landscape. Karpathy confirmed that he has returned to research and development, saying that the coming years will be important for the future of large language models.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Personal update: I&#39;ve joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&amp;D. I remain deeply passionate about education and plan to resume my work on it in time.</p>&mdash; Andrej Karpathy (@karpathy) <a href="https://twitter.com/karpathy/status/2056753169888334312?ref_src=twsrc%5Etfw">May 19, 2026</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

<h2><strong>Focus on pre-training and core AI systems</strong></h2><p><br>At Anthropic, Karpathy will work on pre-training, which is the stage where AI models are trained on large datasets to develop their core capabilities. This process involves high computing power and is considered one of the most expensive and critical parts of building systems like Claude. The company has indicated that Karpathy will help build a team focused on using AI tools themselves to improve and speed up this training process.</p><h2><strong>Why Karpathy’s role matters</strong></h2><p><br>Karpathy is widely known for combining theoretical knowledge with real-world implementation. During his time at OpenAI, he worked on deep learning research, and at Tesla, he led key projects such as Autopilot and Full Self-Driving. His experience across both research and product development makes him one of the few experts who can bridge the gap between theory and large-scale deployment, which is important for improving AI performance.</p><h2><strong>Anthropic’s strategy in the AI race</strong></h2><p><br>Anthropic’s decision to bring in Karpathy reflects a broader strategy to improve efficiency in AI development. Instead of relying only on increasing computing power, the company is focusing on how AI systems can assist in research and training. This approach could help reduce costs and speed up development, giving Anthropic a different path compared to competitors like OpenAI and Google.</p><h2><strong>Cybersecurity focus with new hire</strong></h2><p><br>The company has also hired Chris Rohlf, who joins its frontier red team. This team is responsible for testing advanced AI systems against potential risks and vulnerabilities. Rohlf brings more than 20 years of experience in cybersecurity, having worked with organisations like Yahoo and Meta. His addition shows that Anthropic is also strengthening its focus on AI safety and security.</p><h2><strong>Karpathy’s journey and future plans</strong></h2>

<p><br>Karpathy had left OpenAI earlier to join Tesla and later returned briefly before starting his own venture, Eureka Labs, focused on AI in education. While it is unclear how that project will continue, he has said that he remains interested in education and plans to return to it in the future.</p><p>Karpathy’s move highlights the growing competition for top talent in the AI sector. Companies are increasingly investing in experienced researchers who can improve how models are trained and deployed. His role at Anthropic could influence how future AI systems are developed, especially in making training more efficient and scalable.</p><p>Anthropic is expected to expand its research efforts as it competes in the global AI race. With experienced talent joining its teams, the company aims to strengthen its position in developing advanced AI models, where innovation in training methods is becoming as important as computing power itself.</p>

Andrej Karpathy, a former co-founder of OpenAI and ex-head of AI at Tesla, has joined Anthropic, marking a significant move in the global artificial intelligence talent landscape.

Andrej Karpathy, a former co-founder of OpenAI and ex-head of AI at Tesla, has joined Anthropic, marking a significant move in the global artificial intelligence talent landscape. Karpathy confirmed that he has returned to research and development, saying that the coming years will be important for the future of large language models.

<p>Andrej Karpathy, a former co-founder of OpenAI and ex-head of AI at Tesla, has joined Anthropic, marking a significant move in the global artificial intelligence talent landscape.</p>

‘AI talent shift’: Ex-OpenAI researcher Andrej Karpathy joins Anthropic to focus on AI model training

<p>Ferrari has partnered with IBM to use artificial intelligence in improving how fans interact with Formula One, as teams increasingly rely on data and technology to build stronger global audiences. The collaboration focuses on transforming Ferrari’s official fan app into a more interactive platform, using AI to turn race data into personalised content and experiences.</p><h2><strong>How AI is changing the fan experience</strong></h2><p>Formula One generates large amounts of data during races, with teams processing millions of data points per second. Ferrari is now using AI tools from IBM to convert this data into simple and engaging content for fans.</p><p>The updated app includes:</p><p>AI-generated race summaries</p><p>Behind-the-scenes stories about drivers and teams<br>Interactive features like predictions and games<br>An AI assistant that answers fan questions<br>The goal is to make technical race data easier to understand and more engaging for users.</p><p><strong>Focus on personalised storytelling</strong><br>Ferrari has created a new role, “head of fan development”, to focus on improving fan engagement. The strategy is centred on making each fan feel personally connected to the team.</p><p>AI is used to analyse user behaviour within the app, including:</p><p>What content users read<br>How long they engage<br>What type of stories they prefer</p><p>This helps Ferrari deliver content tailored to individual preferences, rather than a one-size-fits-all experience.</p><h2><strong>Strong growth in fan engagement</strong></h2><p>Since the partnership with IBM, Ferrari has reported a 62 per cent increase in engagement during race weekends, according to company data. The app has also expanded its features, including language support such as Italian, which was previously missing despite Ferrari’s strong domestic fan base. The company aims to keep fans engaged throughout the year, not just during race events.</p><h2><strong>Why tech companies are entering Formula One</strong></h2><p>Formula One has become increasingly attractive for technology firms. Companies like AWS, Oracle and others are already working with teams to provide data analytics and AI tools. The sport’s global popularity has grown significantly, especially after shows like Drive to Survive introduced F1 to new audiences. According to F1 data, around 75 per cent of new fans are women, many from younger age groups, showing a shift in the sport’s audience profile.</p><h2><strong>Standalone app strategy in focus</strong></h2><p>Ferrari is among a few teams, including McLaren and Williams, that are focusing on standalone apps instead of relying only on social media or official F1 platforms.</p><p>This approach allows teams to:<br>Control their content directly<br>Build long-term relationships with fans<br>Use data to improve engagement strategies</p><p>The use of AI plays a key role in making these apps more dynamic and personalised.</p><h2><strong>What this means for sports and AI</strong></h2><p>The Ferrari-IBM partnership highlights how artificial intelligence is being used beyond traditional business applications and into sports and entertainment. By combining data with storytelling, teams can create more engaging experiences and strengthen fan loyalty. Ferrari plans to further expand its use of AI to create more personalised and immersive fan experiences over the next few years. As technology continues to evolve, the use of AI in sports is expected to grow, changing how fans interact with teams and events across the world.</p>

Ferrari has partnered with IBM to use artificial intelligence in improving how fans interact with Formula One, as teams increasingly rely on data and technology to build stronger global audiences.

Ferrari has partnered with IBM to use artificial intelligence in improving how fans interact with Formula One, as teams increasingly rely on data and technology to build stronger global audiences. The collaboration focuses on transforming Ferrari’s official fan app into a more interactive platform, using AI to turn race data into personalised content and experiences. How AI is changing the fan experience Formula One generates large amounts of data during races, with teams processing millions of data points per second. Ferrari is now using AI tools from IBM to convert this data into simple and engaging content for fans. The updated app includes: AI-generated race summaries Behind-the-scenes stories about drivers and teams Interactive features like predictions and games An AI assistant that answers fan questions The goal is to make technical race data easier to understand and more engaging for users. Focus on personalised storytelling Ferrari has created a new role, “head of fan development”, to focus on improving fan engagement. The strategy is centred on making each fan feel personally connected to the team. AI is used to analyse user behaviour within the app, including: What content users read How long they engage What type of stories they prefer This helps Ferrari deliver content tailored to individual preferences, rather than a one-size-fits-all experience. Strong growth in fan engagement Since the partnership with IBM, Ferrari has reported a 62 per cent increase in engagement during race weekends, according to company data. The app has also expanded its features, including language support such as Italian, which was previously missing despite Ferrari’s strong domestic fan base. The company aims to keep fans engaged throughout the year, not just during race events. Why tech companies are entering Formula One Formula One has become increasingly attractive for technology firms. Companies like AWS, Oracle and others are already working with teams to provide data analytics and AI tools. The sport’s global popularity has grown significantly, especially after shows like Drive to Survive introduced F1 to new audiences. According to F1 data, around 75 per cent of new fans are women, many from younger age groups, showing a shift in the sport’s audience profile. Standalone app strategy in focus Ferrari is among a few teams, including McLaren and Williams, that are focusing on standalone apps instead of relying only on social media or official F1 platforms. This approach allows teams to: Control their content directly Build long-term relationships with fans Use data to improve engagement strategies The use of AI plays a key role in making these apps more dynamic and personalised. What this means for sports and AI The Ferrari-IBM partnership highlights how artificial intelligence is being used beyond traditional business applications and into sports and entertainment. By combining data with storytelling, teams can create more engaging experiences and strengthen fan loyalty. Ferrari plans to further expand its use of AI to create more personalised and immersive fan experiences over the next few years. As technology continues to evolve, the use of AI in sports is expected to grow, changing how fans interact with teams and events across the world.

<p>Ferrari has partnered with IBM to use artificial intelligence in improving how fans interact with Formula One, as teams increasingly rely on data and technology to build stronger global audiences.</p>

Ferrari partners with IBM to use AI for deeper fan engagement in Formula One

<p>Meta has quietly launched a new standalone app called Forum, designed to give users a focused space for discussions built around Facebook Groups. The app is currently available only for iOS users in the United States and has not yet been rolled out globally.&nbsp; The launch is part of Meta’s broader strategy to experiment with new social apps, especially as artificial intelligence tools make it easier and faster to build and test products.</p><h2><strong>What the Forum app offers</strong></h2><p>Forum is built to create deeper conversations within communities. Once users log in with their Facebook account, the app shows a feed of posts from the Groups they are part of. The interface is similar to platforms like Reddit, where discussions are the main focus rather than general social media updates.</p><p>Users can:</p><p>Post using nicknames<br>Browse group discussions<br>Discover new communities<br>Continue conversations where they left off<br>Posts shared on Forum are also visible within Facebook Groups, keeping both platforms connected.</p><figure class="image"><img src="https://images.indianexpress.com/2026/05/Screenshot-2026-05-24-121046.png" alt="Forum"></figure>

<h2><strong>AI features at the centre of the app</strong></h2><p>One of the key features of Forum is its AI-powered ‘Ask’ tool. This allows users to ask questions and receive answers based on conversations happening across multiple groups.</p><p>The AI:<br>Summarises discussions<br>Shows sources of information<br>Suggests relevant groups to join</p><p>Group administrators also get access to an AI assistant that helps with moderation and content management.</p><h2><strong>How Forum is different from other Meta apps</strong></h2><p>Unlike Facebook or Instagram, Forum focuses only on group discussions. It removes distractions like general feeds and highlights conversations that matter to users. The app is part of a wider push by Meta to launch more standalone apps. Recently, the company also introduced new features like Instants for sharing disappearing photos. This approach allows Meta to test new ideas without changing its main platforms.</p><h2><strong>Meta’s strategy behind launching new apps</strong></h2><p>Meta CEO Mark Zuckerberg has indicated that the company plans to build more apps using AI-driven development tools. Reports suggest Meta is exploring the idea of launching multiple apps quickly to see what users prefer. This strategy is made possible by faster development cycles enabled by AI. However, some analysts question whether users want more separate apps, especially when many features already exist within existing platforms.</p><h2><strong>Challenges and competition</strong></h2><p>Forum enters a space already dominated by platforms like Reddit, which are built entirely around community discussions. Meta had previously launched a Facebook Groups app in 2014, which was later shut down after a few years. This raises questions about whether the new app will succeed in the long term. At the same time, Meta’s strong user base and integration with Facebook Groups could give Forum an advantage.</p><h2><strong>What happens next</strong></h2><p>For now, Forum remains in limited release, and Meta has not confirmed when it will expand to other regions. The company is likely to monitor user engagement before making further decisions about a wider rollout. The launch reflects Meta’s ongoing efforts to reshape social media experiences, with a stronger focus on communities and AI-driven interactions.</p>

Meta has quietly launched a new standalone app called Forum, designed to give users a focused space for discussions built around Facebook Groups. The app is currently available only for iOS users in the United States and has not yet been rolled out globally.


Meta has quietly launched a new standalone app called Forum, designed to give users a focused space for discussions built around Facebook Groups. The app is currently available only for iOS users in the United States and has not yet been rolled out globally. The launch is part of Meta’s broader strategy to experiment with new social apps, especially as artificial intelligence tools make it easier and faster to build and test products. What the Forum app offers Forum is built to create deeper conversations within communities. Once users log in with their Facebook account, the app shows a feed of posts from the Groups they are part of. The interface is similar to platforms like Reddit, where discussions are the main focus rather than general social media updates. Users can: Post using nicknames Browse group discussions Discover new communities Continue conversations where they left off Posts shared on Forum are also visible within Facebook Groups, keeping both platforms connected.

<p>Meta has quietly launched a new standalone app called Forum, designed to give users a focused space for discussions built around Facebook Groups. The app is currently available only for iOS users in the United States and has not yet been rolled out globally.</p>

What is Meta’s new Forum app? Facebook Groups gets a standalone AI-powered platform

<p>Elon Musk has long promoted a future powered by solar energy, especially through Tesla. However, recent developments linked to his companies suggest a shift in focus as artificial intelligence increases demand for large-scale power. According to details in a recent filing, Musk’s AI operations are relying more on traditional energy sources such as natural gas to run high-performance data centres, highlighting a gap between long-term clean energy goals and present-day infrastructure needs.</p><h2><strong>AI growth is driving massive energy demand</strong></h2><p>The rise of artificial intelligence has significantly increased the need for electricity. Reports indicate that future AI systems could require terawatt-scale computing power, far exceeding the current global data centre consumption of around 40 gigawatts. This rapid growth has forced companies to prioritise stable and continuous power supply, which is not always achievable with solar energy alone, especially due to its dependence on sunlight and weather conditions.</p><h2><strong>Shift towards space-based solar ideas</strong></h2><p><br>Instead of relying only on solar power on Earth, Musk’s companies are exploring the idea of generating energy in space. Space-based solar systems can operate continuously without interruption, and estimates suggest they could produce over five times more energy than traditional solar panels. However, this approach faces practical challenges, including high launch costs, technical limitations, and the complexity of maintaining systems in orbit.</p><h2><strong>Limited use of Tesla solar in AI operations</strong></h2><p>Despite Tesla’s focus on solar technology, Musk’s AI ventures have not significantly adopted solar panels for powering data centres. Instead, investments have gone into battery storage systems and other energy solutions to manage peak loads. This indicates that while solar remains part of the broader vision, it is not yet the primary solution for current AI infrastructure demands.</p><p>&nbsp;</p><h2><strong>Balancing long-term vision with short-term reality</strong></h2><p>Experts believe this shift reflects a balance between long-term sustainability goals and immediate operational needs. While Musk continues to support a transition away from fossil fuels, the current priority is ensuring reliable power for rapidly growing AI systems. This has led to temporary reliance on conventional energy sources while alternative solutions are explored.</p><p>What this means for the future. The development highlights a wider trend across the tech industry, where the growth of AI is reshaping global energy strategies. Companies are now looking at a mix of renewable energy, traditional power sources and emerging technologies to meet demand. While solar power remains important, the transition to a fully clean energy system may take longer as AI continues to expand at a fast pace.</p><p>&nbsp;</p>

Elon Musk has long promoted a future powered by solar energy, especially through Tesla. However, recent developments linked to his companies suggest a shift in focus as artificial intelligence increases demand for large-scale power. 

Elon Musk has long promoted a future powered by solar energy, especially through Tesla. However, recent developments linked to his companies suggest a shift in focus as artificial intelligence increases demand for large-scale power. According to details in a recent filing, Musk’s AI operations are relying more on traditional energy sources such as natural gas to run high-performance data centres, highlighting a gap between long-term clean energy goals and present-day infrastructure needs. AI growth is driving massive energy demand The rise of artificial intelligence has significantly increased the need for electricity. Reports indicate that future AI systems could require terawatt-scale computing power, far exceeding the current global data centre consumption of around 40 gigawatts. This rapid growth has forced companies to prioritise stable and continuous power supply, which is not always achievable with solar energy alone, especially due to its dependence on sunlight and weather conditions. Shift towards space-based solar ideas Instead of relying only on solar power on Earth, Musk’s companies are exploring the idea of generating energy in space. Space-based solar systems can operate continuously without interruption, and estimates suggest they could produce over five times more energy than traditional solar panels. However, this approach faces practical challenges, including high launch costs, technical limitations, and the complexity of maintaining systems in orbit. Limited use of Tesla solar in AI operations Despite Tesla’s focus on solar technology, Musk’s AI ventures have not significantly adopted solar panels for powering data centres. Instead, investments have gone into battery storage systems and other energy solutions to manage peak loads. This indicates that while solar remains part of the broader vision, it is not yet the primary solution for current AI infrastructure demands. Balancing long-term vision with short-term reality Experts believe this shift reflects a balance between long-term sustainability goals and immediate operational needs. While Musk continues to support a transition away from fossil fuels, the current priority is ensuring reliable power for rapidly growing AI systems. This has led to temporary reliance on conventional energy sources while alternative solutions are explored. What this means for the future. The development highlights a wider trend across the tech industry, where the growth of AI is reshaping global energy strategies. Companies are now looking at a mix of renewable energy, traditional power sources and emerging technologies to meet demand. While solar power remains important, the transition to a fully clean energy system may take longer as AI continues to expand at a fast pace.

<p>Elon Musk has long promoted a future powered by solar energy, especially through Tesla. However, recent developments linked to his companies suggest a shift in focus as artificial intelligence increases demand for large-scale power.&nbsp;</p>

Has Elon Musk shifted away from solar power? What SpaceX filing reveals

<p>Google has entered the AI smart glasses market with a new product powered by Gemini, marking a direct challenge to Meta, which currently leads the segment.</p><p>The announcement was made at Google I/O 2026, where the company introduced its “intelligent eyewear” built in partnership with Samsung, Warby Parker and Gentle Monster. The product is expected to launch in fall 2026, though pricing details have not yet been disclosed.</p><h2><strong>What Google’s AI smart glasses can do</strong></h2><p>The glasses are designed around an audio-first experience and do not include a display inside the lens. Instead, they rely on voice interaction powered by Gemini AI.</p><p>Key features include:</p><p>Real-time translation across languages</p><p>Navigation with voice-based directions</p><p>Reading signs and identifying surroundings using camera input</p><p>Managing calls, messages and notifications</p><p>Taking photos and editing them using AI</p><p>Completing tasks like ordering food or booking rides</p><p>Users can activate the assistant by saying “Hey Google” or tapping the frame.</p><p>iPhone support expands market reach</p><p>One of the major highlights is that the glasses will support both Android and iPhone devices. This is a strategic move by Google, as it allows the company to reach a wider audience instead of limiting the product to Android users. Industry reports suggest that cross-platform support is important in this category, especially as Meta’s smart glasses already work across both ecosystems.</p><h2><strong>Partnership-led hardware strategy</strong></h2><p>Unlike its earlier Google Glass project, the company is now working with established eyewear brands to improve design and usability.&nbsp;</p><p>Warby Parker will focus on practical and prescription-friendly frames<br>Gentle Monster will bring fashion-focused designs<br>Samsung is handling hardware engineering and production</p><p>Google has also confirmed future collaborations, including a luxury segment with Gucci planned for 2027.</p><h2><strong>Competition with Meta’s smart glasses</strong></h2><p>Meta currently leads the smart glasses market, with around 85 per cent global share and over 7 million units sold in 2025, according to industry estimates. Google’s main advantage lies in Gemini AI, which can handle more complex, multi-step tasks compared to existing systems. However, Meta already has an established user base and hardware presence, giving it a strong position in the market.</p><h2><strong>What comes next in AI wearables</strong></h2><p>Google has indicated that this is just the first step. A future version with a built-in display is expected around 2027, which could show visual information directly in the user’s field of view. The company is also working on extended reality (XR) devices under its Android XR platform, aiming to build a broader ecosystem around AI-powered wearables.</p><h2><strong>What this means for the tech industry</strong></h2><p>The launch signals growing competition in the AI wearable space, with companies focusing on integrating AI into everyday devices.</p><p>Instead of traditional screens, the focus is shifting towards voice-based interaction and real-time assistance.</p><h2><strong>What happens next</strong></h2><p>The glasses will roll out gradually after launch, with more details on pricing and availability expected closer to release. As companies like Google, Meta and others continue to invest in AI wearables, the market is likely to expand in the coming years, shaping how users interact with technology in daily life</p>

Google has entered the AI smart glasses market with a new product powered by Gemini, marking a direct challenge to Meta, which currently leads the segment.


Google has entered the AI smart glasses market with a new product powered by Gemini, marking a direct challenge to Meta, which currently leads the segment. The announcement was made at Google I/O 2026, where the company introduced its “intelligent eyewear” built in partnership with Samsung, Warby Parker and Gentle Monster. The product is expected to launch in fall 2026, though pricing details have not yet been disclosed. What Google’s AI smart glasses can do The glasses are designed around an audio-first experience and do not include a display inside the lens. Instead, they rely on voice interaction powered by Gemini AI. Key features include: Real-time translation across languages Navigation with voice-based directions Reading signs and identifying surroundings using camera input Managing calls, messages and notifications Taking photos and editing them using AI Completing tasks like ordering food or booking rides Users can activate the assistant by saying “Hey Google” or tapping the frame. iPhone support expands market reach One of the major highlights is that the glasses will support both Android and iPhone devices. This is a strategic move by Google, as it allows the company to reach a wider audience instead of limiting the product to Android users. Industry reports suggest that cross-platform support is important in this category, especially as Meta’s smart glasses already work across both ecosystems. Partnership-led hardware strategy Unlike its earlier Google Glass project, the company is now working with established eyewear brands to improve design and usability. Warby Parker will focus on practical and prescription-friendly frames Gentle Monster will bring fashion-focused designs Samsung is handling hardware engineering and production Google has also confirmed future collaborations, including a luxury segment with Gucci planned for 2027. Competition with Meta’s smart glasses Meta currently leads the smart glasses market, with around 85 per cent global share and over 7 million units sold in 2025, according to industry estimates. Google’s main advantage lies in Gemini AI, which can handle more complex, multi-step tasks compared to existing systems. However, Meta already has an established user base and hardware presence, giving it a strong position in the market. What comes next in AI wearables Google has indicated that this is just the first step. A future version with a built-in display is expected around 2027, which could show visual information directly in the user’s field of view. The company is also working on extended reality (XR) devices under its Android XR platform, aiming to build a broader ecosystem around AI-powered wearables. What this means for the tech industry The launch signals growing competition in the AI wearable space, with companies focusing on integrating AI into everyday devices. Instead of traditional screens, the focus is shifting towards voice-based interaction and real-time assistance. What happens next The glasses will roll out gradually after launch, with more details on pricing and availability expected closer to release. As companies like Google, Meta and others continue to invest in AI wearables, the market is likely to expand in the coming years, shaping how users interact with technology in daily life

<p>Google has entered the AI smart glasses market with a new product powered by Gemini, marking a direct challenge to Meta, which currently leads the segment.</p>

Google unveils AI smart glasses with Gemini, targets Meta’s dominance

<p>Anthropic has revealed that its advanced AI system Claude Mythos identified more than 10,000 critical software vulnerabilities in just one month, highlighting how artificial intelligence is transforming cybersecurity. The model, which is not publicly available, is being tested under a restricted programme called Project Glasswing, where selected companies are given access to evaluate its capabilities.&nbsp;</p><h2><strong>How Claude Mythos is being used</strong></h2><p>Claude Mythos has been shared with a limited group of companies, including major technology firms such as Amazon and Google. Under this programme, organisations are using the AI to scan their systems for security weaknesses. According to Anthropic, many participants reported a significant increase in the number of vulnerabilities detected. In some cases, companies said their bug detection rate improved by more than ten times compared to earlier tools.</p><h2><strong>Real-world results from companies</strong></h2><p>Several organisations have shared early results from testing the AI system:</p><p>Cloudflare found around 2,000 bugs, including 400 high or critical vulnerabilities</p><p>Mozilla identified and fixed 271 vulnerabilities in Firefox during testing</p><p>The UK AI Security Institute reported that Mythos successfully completed complex cyberattack simulations These findings suggest that AI systems like Mythos can detect issues at a scale and speed beyond traditional methods.</p><h2><strong>Why the model is not publicly released</strong></h2><p>Despite its capabilities, Anthropic has decided not to release Mythos to the general public. The company said that such powerful systems could be misused if they fall into the wrong hands. Governments in different countries have also raised concerns about the risks linked to advanced AI tools. Anthropic has stated that current safeguards are not strong enough to fully prevent misuse, which is why access remains restricted.</p><h2><strong>Plans to expand access with governments</strong></h2><p>Anthropic has said it will work with the United States and allied governments to expand access to the model in a controlled way. However, it has not confirmed which countries will be included in this next phase. The company indicated that wider access may be considered in the future if similar capabilities become common across the industry.</p><p>Impact on cybersecurity and software updates</p><p>The use of AI in bug detection is also speeding up how quickly companies fix vulnerabilities.</p><p>Reports indicate that:</p><p>Microsoft expects patch releases to increase</p><p>Oracle is fixing issues faster across its systems</p><p>Security firms are releasing more updates than usual</p><p>Anthropic also said it has used Mythos to scan over 1,000 open-source projects, which form a key part of global internet infrastructure.</p><h2><strong>What this means for the AI industry</strong></h2><p>The development shows how AI is becoming a key tool in cybersecurity. While it can improve defence systems, it also raises questions about how such technology should be controlled. The company is reportedly planning a new funding round that could raise up to $30 billion, potentially valuing Anthropic at around $900 billion, according to reports.&nbsp;</p><p>What happens next</p><p>Anthropic is expected to continue testing Mythos with selected partners while exploring ways to expand access safely.</p><p>The results so far show that AI can play a major role in identifying software risks. At the same time, the debate around safety and control is likely to grow as these systems become more advanced.</p>

Anthropic has revealed that its advanced AI system Claude Mythos identified more than 10,000 critical software vulnerabilities in just one month, highlighting how artificial intelligence is transforming cybersecurity. 


Anthropic has revealed that its advanced AI system Claude Mythos identified more than 10,000 critical software vulnerabilities in just one month, highlighting how artificial intelligence is transforming cybersecurity. The model, which is not publicly available, is being tested under a restricted programme called Project Glasswing, where selected companies are given access to evaluate its capabilities. How Claude Mythos is being used Claude Mythos has been shared with a limited group of companies, including major technology firms such as Amazon and Google. Under this programme, organisations are using the AI to scan their systems for security weaknesses. According to Anthropic, many participants reported a significant increase in the number of vulnerabilities detected. In some cases, companies said their bug detection rate improved by more than ten times compared to earlier tools. Real-world results from companies Several organisations have shared early results from testing the AI system: Cloudflare found around 2,000 bugs, including 400 high or critical vulnerabilities Mozilla identified and fixed 271 vulnerabilities in Firefox during testing The UK AI Security Institute reported that Mythos successfully completed complex cyberattack simulations These findings suggest that AI systems like Mythos can detect issues at a scale and speed beyond traditional methods. Why the model is not publicly released Despite its capabilities, Anthropic has decided not to release Mythos to the general public. The company said that such powerful systems could be misused if they fall into the wrong hands. Governments in different countries have also raised concerns about the risks linked to advanced AI tools. Anthropic has stated that current safeguards are not strong enough to fully prevent misuse, which is why access remains restricted. Plans to expand access with governments Anthropic has said it will work with the United States and allied governments to expand access to the model in a controlled way. However, it has not confirmed which countries will be included in this next phase. The company indicated that wider access may be considered in the future if similar capabilities become common across the industry. Impact on cybersecurity and software updates The use of AI in bug detection is also speeding up how quickly companies fix vulnerabilities. Reports indicate that: Microsoft expects patch releases to increase Oracle is fixing issues faster across its systems Security firms are releasing more updates than usual Anthropic also said it has used Mythos to scan over 1,000 open-source projects, which form a key part of global internet infrastructure. What this means for the AI industry The development shows how AI is becoming a key tool in cybersecurity. While it can improve defence systems, it also raises questions about how such technology should be controlled. The company is reportedly planning a new funding round that could raise up to $30 billion, potentially valuing Anthropic at around $900 billion, according to reports. What happens next Anthropic is expected to continue testing Mythos with selected partners while exploring ways to expand access safely. The results so far show that AI can play a major role in identifying software risks. At the same time, the debate around safety and control is likely to grow as these systems become more advanced.

<p>Anthropic has revealed that its advanced AI system Claude Mythos identified more than 10,000 critical software vulnerabilities in just one month, highlighting how artificial intelligence is transforming cybersecurity.&nbsp;</p>

‘10,000 bugs in a month’: How Anthropic’s AI is changing cybersecurity

<p>Jeff Bezos has addressed growing concerns around a possible artificial intelligence bubble, saying that even if such a situation occurs, it should not be a cause for worry. Speaking about the rapid growth in AI investments, Bezos suggested that periods of hype and over-investment are often part of how new technologies develop and mature.</p><h2><strong>What Bezos said about an AI bubble</strong></h2><p>Bezos acknowledged that some experts believe the current surge in AI spending could lead to a bubble, similar to past technology cycles. However, he argued that even if investment exceeds short-term returns, it still helps build long-term infrastructure and innovation.</p><p>According to him, such phases often result in:</p><p>Better technology development<br>Stronger infrastructure<br>Wider adoption of new tools<br>This means that even if a correction happens, the overall progress of AI will continue.</p><h2><strong>Why AI investment is rising rapidly</strong></h2><p>The artificial intelligence sector has seen significant growth in recent years. Companies are investing billions of dollars into:</p><p>Data centres and computing power<br>AI models and research<br>Software and enterprise tools</p><p>Industry reports show that global AI spending is expected to cross hundreds of billions of dollars in the coming years, reflecting strong demand from businesses and governments. This rapid growth has led to comparisons with earlier technology booms, including the dot-com era.</p><h2><strong>Lessons from past tech bubbles</strong></h2><p>Bezos pointed out that past bubbles, such as the internet boom in the late 1990s, eventually led to lasting innovation despite short-term market corrections. While many companies did not survive those periods, the underlying technology continued to grow and shape the modern economy.</p><h2><strong>Experts say a similar pattern could occur with AI:</strong></h2><p>Some companies may struggle<br>Investments may slow down<br>But core technology will continue to improve</p><p>&nbsp;</p><h2><strong>Why experts remain divided</strong></h2><p><br>There is ongoing debate among analysts about whether AI is currently in a bubble phase.</p><p>Some argue that:</p><p>Valuations of AI companies are rising quickly<br>Spending on infrastructure may be ahead of demand<br>Others believe that:</p><p>AI adoption is still in early stages<br>Long-term use cases will justify current investments<br>Bezos’ comments align with the view that long-term benefits outweigh short-term risks.</p><h2><strong>What this means for businesses and investors</strong></h2><p><br>For businesses, the focus remains on adopting AI tools to improve efficiency and productivity. For investors, the discussion highlights the importance of understanding both risks and opportunities in emerging technologies. Even if markets fluctuate, companies that build strong foundations in AI may benefit over time. The future of AI investment will depend on how quickly real-world applications grow and generate returns. While concerns about a bubble may continue, industry leaders like Bezos suggest that the long-term impact of AI is likely to remain strong. The debate reflects a broader question facing the tech industry: how to balance rapid innovation with sustainable growth</p>

Jeff Bezos has addressed growing concerns around a possible artificial intelligence bubble, saying that even if such a situation occurs, it should not be a cause for worry. 

Jeff Bezos has addressed growing concerns around a possible artificial intelligence bubble, saying that even if such a situation occurs, it should not be a cause for worry. Speaking about the rapid growth in AI investments, Bezos suggested that periods of hype and over-investment are often part of how new technologies develop and mature. What Bezos said about an AI bubble Bezos acknowledged that some experts believe the current surge in AI spending could lead to a bubble, similar to past technology cycles. However, he argued that even if investment exceeds short-term returns, it still helps build long-term infrastructure and innovation. According to him, such phases often result in: Better technology development Stronger infrastructure Wider adoption of new tools This means that even if a correction happens, the overall progress of AI will continue. Why AI investment is rising rapidly The artificial intelligence sector has seen significant growth in recent years. Companies are investing billions of dollars into: Data centres and computing power AI models and research Software and enterprise tools Industry reports show that global AI spending is expected to cross hundreds of billions of dollars in the coming years, reflecting strong demand from businesses and governments. This rapid growth has led to comparisons with earlier technology booms, including the dot-com era. Lessons from past tech bubbles Bezos pointed out that past bubbles, such as the internet boom in the late 1990s, eventually led to lasting innovation despite short-term market corrections. While many companies did not survive those periods, the underlying technology continued to grow and shape the modern economy. Experts say a similar pattern could occur with AI: Some companies may struggle Investments may slow down But core technology will continue to improve Why experts remain divided There is ongoing debate among analysts about whether AI is currently in a bubble phase. Some argue that: Valuations of AI companies are rising quickly Spending on infrastructure may be ahead of demand Others believe that: AI adoption is still in early stages Long-term use cases will justify current investments Bezos’ comments align with the view that long-term benefits outweigh short-term risks. What this means for businesses and investors For businesses, the focus remains on adopting AI tools to improve efficiency and productivity. For investors, the discussion highlights the importance of understanding both risks and opportunities in emerging technologies. Even if markets fluctuate, companies that build strong foundations in AI may benefit over time. The future of AI investment will depend on how quickly real-world applications grow and generate returns. While concerns about a bubble may continue, industry leaders like Bezos suggest that the long-term impact of AI is likely to remain strong. The debate reflects a broader question facing the tech industry: how to balance rapid innovation with sustainable growth

<p>Jeff Bezos has addressed growing concerns around a possible artificial intelligence bubble, saying that even if such a situation occurs, it should not be a cause for worry.&nbsp;</p>

AI boom or bubble? Jeff Bezos offers a different perspective

<p>The Pentagon is reportedly studying advanced artificial intelligence systems for cybersecurity and military use, as global interest in AI-driven defence tools continues to grow.</p><p>According to reports, US officials are examining whether powerful AI models could be used not only for defence but also for cyber operations. The development has raised broader questions about how AI may shape future conflicts.</p><h2><strong>Why the Pentagon is studying AI systems</strong></h2><p>Officials are exploring how advanced AI tools can improve cybersecurity and intelligence operations. These systems may help:</p><p>Detect cyber threats faster<br>Identify software vulnerabilities<br>Analyse large volumes of data<br>Support decision-making in real time<br>Reports suggest that the study is part of a wider effort led by US Cyber Command and the National Security Agency.</p><h2><strong>Focus on models like Anthropic’s Mythos</strong></h2><p>One of the key systems under discussion is the Claude Mythos model developed by Anthropic. According to reports, this model is believed to have advanced capabilities, including identifying system weaknesses and simulating cyberattacks. Because of these capabilities, it has not been released for public use.</p><p>The Pentagon is reportedly assessing whether such systems can be safely deployed within secure government networks.</p><h2><strong>Concerns about moving from defence to offence</strong></h2><p>While the initial focus is on cyber defence, experts say there are concerns that such tools could also be used for offensive operations.</p><p>If AI systems can:<br>Detect vulnerabilities<br>Simulate attacks<br>Act faster than human operators</p><p>they could potentially be used in cyber warfare scenarios.</p><p>This has led to debates about the risks of AI being used beyond defensive purposes.</p><h2><br><strong>Restrictions and policy challenges</strong></h2><p>Reports indicate that the Pentagon currently faces restrictions in working directly with some AI companies due to policy and security concerns. Despite this, officials are exploring alternative ways to study advanced AI systems because of their potential strategic importance. This highlights the challenge of balancing national security needs with regulatory and supply chain considerations.</p><h2><strong>Global race in AI and defence</strong></h2><p>The US is not alone in exploring AI for defence purposes. Governments around the world are investing in similar technologies to strengthen cybersecurity and military capabilities. Experts say this could lead to increased competition in AI development, particularly in areas related to national security.</p><p>Key concerns for the future<br>The growing use of AI in defence raises important questions:<br>How will AI systems be controlled in critical situations?<br>What safeguards will prevent misuse?<br>How will countries manage risks of escalation?<br>These questions remain central to ongoing discussions about AI and global security.</p><h2><strong>What happens next</strong></h2><p><br>The Pentagon’s study is expected to continue as officials evaluate the benefits and risks of using advanced AI systems. While no final decisions have been announced, the development reflects a broader shift towards integrating AI into defence strategies. As AI technology evolves, its role in cybersecurity and military operations is likely to remain a key area of focus for governments worldwide</p>

The Pentagon is reportedly studying advanced artificial intelligence systems for cybersecurity and military use, as global interest in AI-driven defence tools continues to grow.


The Pentagon is reportedly studying advanced artificial intelligence systems for cybersecurity and military use, as global interest in AI-driven defence tools continues to grow. According to reports, US officials are examining whether powerful AI models could be used not only for defence but also for cyber operations. The development has raised broader questions about how AI may shape future conflicts. Why the Pentagon is studying AI systems Officials are exploring how advanced AI tools can improve cybersecurity and intelligence operations. These systems may help: Detect cyber threats faster Identify software vulnerabilities Analyse large volumes of data Support decision-making in real time Reports suggest that the study is part of a wider effort led by US Cyber Command and the National Security Agency. Focus on models like Anthropic’s Mythos One of the key systems under discussion is the Claude Mythos model developed by Anthropic. According to reports, this model is believed to have advanced capabilities, including identifying system weaknesses and simulating cyberattacks. Because of these capabilities, it has not been released for public use. The Pentagon is reportedly assessing whether such systems can be safely deployed within secure government networks. Concerns about moving from defence to offence While the initial focus is on cyber defence, experts say there are concerns that such tools could also be used for offensive operations. If AI systems can: Detect vulnerabilities Simulate attacks Act faster than human operators they could potentially be used in cyber warfare scenarios. This has led to debates about the risks of AI being used beyond defensive purposes. Restrictions and policy challenges Reports indicate that the Pentagon currently faces restrictions in working directly with some AI companies due to policy and security concerns. Despite this, officials are exploring alternative ways to study advanced AI systems because of their potential strategic importance. This highlights the challenge of balancing national security needs with regulatory and supply chain considerations. Global race in AI and defence The US is not alone in exploring AI for defence purposes. Governments around the world are investing in similar technologies to strengthen cybersecurity and military capabilities. Experts say this could lead to increased competition in AI development, particularly in areas related to national security. Key concerns for the future The growing use of AI in defence raises important questions: How will AI systems be controlled in critical situations? What safeguards will prevent misuse? How will countries manage risks of escalation? These questions remain central to ongoing discussions about AI and global security. What happens next The Pentagon’s study is expected to continue as officials evaluate the benefits and risks of using advanced AI systems. While no final decisions have been announced, the development reflects a broader shift towards integrating AI into defence strategies. As AI technology evolves, its role in cybersecurity and military operations is likely to remain a key area of focus for governments worldwide

<p>The Pentagon is reportedly studying advanced artificial intelligence systems for cybersecurity and military use, as global interest in AI-driven defence tools continues to grow.</p>

Pentagon explores advanced AI tools, raises questions on future of cyber warfare

<p>Google has introduced Gemini Spark, a new artificial intelligence feature that has raised questions about whether it is simply a rebranding of Gemini or an entirely new product. At first glance, the naming may seem confusing. Gemini itself evolved from Bard, Google’s earlier chatbot. However, Gemini Spark is not a replacement or rebrand. Instead, it represents a different layer of AI functionality focused on proactive assistance.</p><h2><strong>What is Gemini Spark and how is it different</strong></h2><p>Gemini Spark is designed as a background AI agent rather than a traditional chatbot. Unlike standard AI tools where users ask questions and receive answers, Spark works continuously in the background.</p><p>&nbsp;</p><p>It can:</p><p>Track tasks over time</p><p>Update information automatically</p><p>Work across apps like Gmail, Docs and Calendar</p><p>This makes it different from Gemini’s usual chat-based interaction, where users actively input prompts.</p><h2><strong>How Gemini Spark works in real life</strong></h2><p>Spark runs in the cloud and connects with a user’s Google account. Once set up, it can manage ongoing tasks without repeated input.</p><p>For example, users can:</p><p>Plan events such as weddings or trips</p><p>Track bookings and schedules</p><p>Manage projects like home renovations</p><p>The system gathers information from emails and other sources, updates it regularly and presents it in a structured way.</p><h2><strong>Part of Google’s AI agent strategy</strong></h2><p>Gemini Spark reflects a broader shift in artificial intelligence towards what is known as “agentic AI”. These systems are designed to act on behalf of users rather than simply respond to commands. At Google I/O, the company showed how Spark fits into its long-term plan to build AI assistants that:</p><p>Work across multiple platforms</p><p>Handle tasks automatically</p><p>Reduce the need for manual input</p><p>This approach moves beyond chatbots towards continuous assistance.</p><p>&nbsp;</p><h2><strong>Why there is confusion around branding</strong></h2><p>The confusion around Gemini Spark comes from Google’s evolving AI ecosystem. Over time, the company has introduced multiple names and features under the Gemini platform.</p><p>&nbsp;</p><h2><strong>For many users, it is not immediately clear how:</strong></h2><p>Gemini (the main AI system)</p><p>AI Mode in Search</p><p>Gemini Spark</p><p>all fit together.</p><p>Experts note that Spark is best understood as a feature within Gemini rather than a separate product.</p><p>&nbsp;</p><h2><strong>Availability and rollout timeline</strong></h2><p>Google has said that Gemini Spark will launch first in beta and will gradually roll out to users. Initial access is expected for paying Gemini users, with broader availability planned later. The company is also working to integrate Spark across Android devices and third-party apps.</p><h2><strong>What this means for users and the AI industry</strong></h2><p>Gemini Spark highlights a key trend in AI development: moving from reactive tools to proactive systems. For users, this could mean less time spent managing tasks manually. For the industry, it signals a shift towards AI systems that operate continuously in the background.</p><p>&nbsp;</p><h2><strong>What happens next</strong></h2><p>Google is expected to expand Gemini Spark’s capabilities over time, adding more integrations and improving accuracy. If successful, Spark could become a central part of how users interact with digital services, turning AI into a constant assistant rather than a tool used only when needed</p>

Google has introduced Gemini Spark, a new artificial intelligence feature that has raised questions about whether it is simply a rebranding of Gemini or an entirely new product.

Google has introduced Gemini Spark, a new artificial intelligence feature that has raised questions about whether it is simply a rebranding of Gemini or an entirely new product. At first glance, the naming may seem confusing. Gemini itself evolved from Bard, Google’s earlier chatbot. However, Gemini Spark is not a replacement or rebrand. Instead, it represents a different layer of AI functionality focused on proactive assistance. What is Gemini Spark and how is it different Gemini Spark is designed as a background AI agent rather than a traditional chatbot. Unlike standard AI tools where users ask questions and receive answers, Spark works continuously in the background. It can: Track tasks over time Update information automatically Work across apps like Gmail, Docs and Calendar This makes it different from Gemini’s usual chat-based interaction, where users actively input prompts. How Gemini Spark works in real life Spark runs in the cloud and connects with a user’s Google account. Once set up, it can manage ongoing tasks without repeated input. For example, users can: Plan events such as weddings or trips Track bookings and schedules Manage projects like home renovations The system gathers information from emails and other sources, updates it regularly and presents it in a structured way. Part of Google’s AI agent strategy Gemini Spark reflects a broader shift in artificial intelligence towards what is known as “agentic AI”. These systems are designed to act on behalf of users rather than simply respond to commands. At Google I/O, the company showed how Spark fits into its long-term plan to build AI assistants that: Work across multiple platforms Handle tasks automatically Reduce the need for manual input This approach moves beyond chatbots towards continuous assistance. Why there is confusion around branding The confusion around Gemini Spark comes from Google’s evolving AI ecosystem. Over time, the company has introduced multiple names and features under the Gemini platform. For many users, it is not immediately clear how: Gemini (the main AI system) AI Mode in Search Gemini Spark all fit together. Experts note that Spark is best understood as a feature within Gemini rather than a separate product. Availability and rollout timeline Google has said that Gemini Spark will launch first in beta and will gradually roll out to users. Initial access is expected for paying Gemini users, with broader availability planned later. The company is also working to integrate Spark across Android devices and third-party apps. What this means for users and the AI industry Gemini Spark highlights a key trend in AI development: moving from reactive tools to proactive systems. For users, this could mean less time spent managing tasks manually. For the industry, it signals a shift towards AI systems that operate continuously in the background. What happens next Google is expected to expand Gemini Spark’s capabilities over time, adding more integrations and improving accuracy. If successful, Spark could become a central part of how users interact with digital services, turning AI into a constant assistant rather than a tool used only when needed

<p>Google has introduced Gemini Spark, a new artificial intelligence feature that has raised questions about whether it is simply a rebranding of Gemini or an entirely new product.</p>

What makes Google’s Gemini Spark different from a normal search engine

<p>Meta has laid off around 8,000 employees, nearly 10 per cent of its global workforce, as the company accelerates its transition towards artificial intelligence. The layoffs began on May 20 across regions including Singapore, the United States and the United Kingdom, according to reports. The move is part of a wider restructuring as Meta positions itself as an AI-focused company.</p><p>&nbsp;</p><h2><strong>Layoffs come despite strong financial performance</strong></h2><p>Meta’s decision to reduce jobs has raised questions among employees, especially as the company recently reported strong financial results and record revenue According to internal discussions cited in reports, the company is increasing its spending significantly, with plans to invest between $125 billion and $145 billion this year, much of it directed towards AI infrastructure and development.</p><p>&nbsp;</p><p>This highlights a shift in priorities, where investment is moving from workforce expansion to technology and automation.</p><p>Employees face uncertainty and concerns</p><p>The layoffs have created uncertainty across Meta’s workforce of around 78,000 employees.</p><h2><strong>Reports indicate that:</strong></h2><p>Employees were informed through emails early in the day across different time zones</p><p>Many teams relied on internal systems to check who had been affected</p><p>Some workers had joined recently and were still impacted There have also been internal reactions, including employees sharing messages and raising concerns about job security.</p><h2><strong>AI transition driving organisational changes</strong></h2><p>Meta is not only cutting jobs but also reorganising its workforce. Around 7,000 employees are being reassigned to new AI-focused roles. The company has created a new team focused on applied AI and engineering, which is expected to play a central role in developing AI tools and systems. Executives have described artificial intelligence as a key priority, with CEO Mark Zuckerberg stating that AI is one of the most important technologies for the company’s future.</p><h2><strong>Employee concerns over AI tracking and data use</strong></h2><p>Alongside the layoffs, some employees have raised concerns about new internal programmes that track employee data for AI training. Reports suggest that more than 1,000 employees signed a petition opposing such measures. The concerns reflect wider debates about how companies use data to develop AI systems. Some workers have also expressed anxiety about whether AI tools could replace certain roles in the future.</p><h2><strong>Part of a wider trend in the tech industry</strong></h2><p>Meta’s layoffs are part of a broader pattern across the technology sector. Companies such as Cisco, Microsoft and others have also announced job cuts while increasing investment in AI. Industry experts note that businesses are restructuring to focus on automation and advanced technologies, which is changing workforce requirements.</p><h2><strong>What this means for employees and industry</strong></h2><p>The situation at Meta shows how the shift towards AI is affecting employment in the technology sector. While new roles are being created in AI development, traditional roles may be reduced or reshaped. This transition is likely to continue as companies invest more in automation and digital systems.</p><p>&nbsp;</p><h2><strong>What happens next</strong></h2><p>Meta has said that no further company-wide layoffs are expected this year. However, the company is expected to continue investing heavily in AI and restructuring its operations. The development reflects a larger change in the industry, where companies are balancing growth, efficiency and technological advancement in an evolving digital economy</p><p>&nbsp;</p><p>&nbsp;</p>

Meta has laid off around 8,000 employees, nearly 10 per cent of its global workforce, as the company accelerates its transition towards artificial intelligence.

Meta has laid off around 8,000 employees, nearly 10 per cent of its global workforce, as the company accelerates its transition towards artificial intelligence. The layoffs began on May 20 across regions including Singapore, the United States and the United Kingdom, according to reports. The move is part of a wider restructuring as Meta positions itself as an AI-focused company. Layoffs come despite strong financial performance Meta’s decision to reduce jobs has raised questions among employees, especially as the company recently reported strong financial results and record revenue According to internal discussions cited in reports, the company is increasing its spending significantly, with plans to invest between $125 billion and $145 billion this year, much of it directed towards AI infrastructure and development. This highlights a shift in priorities, where investment is moving from workforce expansion to technology and automation. Employees face uncertainty and concerns The layoffs have created uncertainty across Meta’s workforce of around 78,000 employees. Reports indicate that: Employees were informed through emails early in the day across different time zones Many teams relied on internal systems to check who had been affected Some workers had joined recently and were still impacted There have also been internal reactions, including employees sharing messages and raising concerns about job security. AI transition driving organisational changes Meta is not only cutting jobs but also reorganising its workforce. Around 7,000 employees are being reassigned to new AI-focused roles. The company has created a new team focused on applied AI and engineering, which is expected to play a central role in developing AI tools and systems. Executives have described artificial intelligence as a key priority, with CEO Mark Zuckerberg stating that AI is one of the most important technologies for the company’s future. Employee concerns over AI tracking and data use Alongside the layoffs, some employees have raised concerns about new internal programmes that track employee data for AI training. Reports suggest that more than 1,000 employees signed a petition opposing such measures. The concerns reflect wider debates about how companies use data to develop AI systems. Some workers have also expressed anxiety about whether AI tools could replace certain roles in the future. Part of a wider trend in the tech industry Meta’s layoffs are part of a broader pattern across the technology sector. Companies such as Cisco, Microsoft and others have also announced job cuts while increasing investment in AI. Industry experts note that businesses are restructuring to focus on automation and advanced technologies, which is changing workforce requirements. What this means for employees and industry The situation at Meta shows how the shift towards AI is affecting employment in the technology sector. While new roles are being created in AI development, traditional roles may be reduced or reshaped. This transition is likely to continue as companies invest more in automation and digital systems. What happens next Meta has said that no further company-wide layoffs are expected this year. However, the company is expected to continue investing heavily in AI and restructuring its operations. The development reflects a larger change in the industry, where companies are balancing growth, efficiency and technological advancement in an evolving digital economy

<p>Meta has laid off around 8,000 employees, nearly 10 per cent of its global workforce, as the company accelerates its transition towards artificial intelligence.</p>

Meta lays off 8,000 employees as company shifts focus to artificial intelligence

<p>Spotify has introduced a new artificial intelligence-powered desktop application called Studio, marking its entry into the growing space of personalised audio content.</p><p>The app, released under Spotify Labs, allows users to generate customised podcasts and daily briefings by connecting personal data such as emails, calendars and notes. The launch places Spotify in direct competition with tools like Google NotebookLM, which offer similar AI-driven content generation features.&nbsp;</p><h2><strong>What Spotify’s new AI app can do</strong></h2><p>The Studio app enables users to create podcasts based on topics or personal information. It can generate audio content by combining user inputs with online data.</p><p>For example, users can ask the app to:</p><p>Create a daily audio briefing</p><p>Generate a podcast on a specific topic</p><p>Combine travel plans, calendar events and recommendations into one audio guide</p><p>The app also supports multi-step requests, allowing users to customise content in detail.</p><h2><strong>Personalised audio powered by AI agents</strong></h2><p>Spotify’s new app includes an AI agent that can browse the web and use personal context to build audio content.</p><p>This means the app can:</p><p>Pull information from schedules and bookings</p><p>Add recommendations based on user preferences</p><p>Create tailored audio experiences for different situations</p><p>All generated podcasts are saved privately in the user’s Spotify library and can be accessed across devices.</p><h2><strong>Early preview with limited access</strong></h2><p>Spotify has said that the Studio app is currently in a research preview stage. It is being rolled out in more than 20 markets and is available only to selected users aged 18 and above.</p><p>The company has also noted that AI-generated content may not always be accurate, as the feature is still under development.</p><h2><strong>Competition in the AI audio space</strong></h2><p>The launch highlights a growing trend where technology companies are using AI to create personalised audio content.</p><p>Tools like Google NotebookLM have already popularised the idea of turning information into podcast-style formats. Other companies and platforms are also exploring similar features.</p><p>Spotify’s move shows its intention to expand beyond music streaming and strengthen its position in the broader audio ecosystem.</p><p>&nbsp;</p><h2><strong>Shift towards non-coder accessibility</strong></h2><p>Spotify had earlier introduced a command-line tool for developers to create AI-generated podcasts. With the Studio app, the company is now making these features available to non-technical users.</p><p>This shift could help expand adoption by making AI tools easier to use for a wider audience.</p><p>&nbsp;</p><h2><strong>What this means for users and industry</strong></h2><p>The introduction of AI-powered podcast creation tools reflects a broader change in how content is consumed.</p><p>Instead of reading or searching manually, users can now receive information in audio format tailored to their needs.</p><p>For the industry, this signals a move towards more personalised and automated content experiences, where AI plays a central role in content creation and delivery.</p><h2><strong>What happens next</strong></h2><p>Spotify is expected to continue developing the Studio app and add more features over time, including deeper integrations and improved accuracy.</p><p>As competition increases in the AI space, companies are likely to invest further in tools that combine personal data, automation and content creation</p>

Spotify has introduced a new artificial intelligence-powered desktop application called Studio, marking its entry into the growing space of personalised audio content.

Spotify has introduced a new artificial intelligence-powered desktop application called Studio, marking its entry into the growing space of personalised audio content. The app, released under Spotify Labs, allows users to generate customised podcasts and daily briefings by connecting personal data such as emails, calendars and notes. The launch places Spotify in direct competition with tools like Google NotebookLM, which offer similar AI-driven content generation features. What Spotify’s new AI app can do The Studio app enables users to create podcasts based on topics or personal information. It can generate audio content by combining user inputs with online data. For example, users can ask the app to: Create a daily audio briefing Generate a podcast on a specific topic Combine travel plans, calendar events and recommendations into one audio guide The app also supports multi-step requests, allowing users to customise content in detail. Personalised audio powered by AI agents Spotify’s new app includes an AI agent that can browse the web and use personal context to build audio content. This means the app can: Pull information from schedules and bookings Add recommendations based on user preferences Create tailored audio experiences for different situations All generated podcasts are saved privately in the user’s Spotify library and can be accessed across devices. Early preview with limited access Spotify has said that the Studio app is currently in a research preview stage. It is being rolled out in more than 20 markets and is available only to selected users aged 18 and above. The company has also noted that AI-generated content may not always be accurate, as the feature is still under development. Competition in the AI audio space The launch highlights a growing trend where technology companies are using AI to create personalised audio content. Tools like Google NotebookLM have already popularised the idea of turning information into podcast-style formats. Other companies and platforms are also exploring similar features. Spotify’s move shows its intention to expand beyond music streaming and strengthen its position in the broader audio ecosystem. Shift towards non-coder accessibility Spotify had earlier introduced a command-line tool for developers to create AI-generated podcasts. With the Studio app, the company is now making these features available to non-technical users. This shift could help expand adoption by making AI tools easier to use for a wider audience. What this means for users and industry The introduction of AI-powered podcast creation tools reflects a broader change in how content is consumed. Instead of reading or searching manually, users can now receive information in audio format tailored to their needs. For the industry, this signals a move towards more personalised and automated content experiences, where AI plays a central role in content creation and delivery. What happens next Spotify is expected to continue developing the Studio app and add more features over time, including deeper integrations and improved accuracy. As competition increases in the AI space, companies are likely to invest further in tools that combine personal data, automation and content creation

<p>Spotify has introduced a new artificial intelligence-powered desktop application called Studio, marking its entry into the growing space of personalised audio content.</p>

Spotify launches AI Studio app to create personalised podcasts and daily briefings

<p>As SpaceX moves closer to a public listing, new details reveal how Elon Musk is likely to retain and in some ways increase his control over the company.</p><p>According to the company’s IPO filing, Musk will continue to hold a dominant position even after SpaceX becomes a publicly traded firm, raising important questions for future investors.&nbsp;</p><h2><strong>Musk’s control will remain above 50%</strong></h2><p>Even after the IPO, Musk is expected to retain more than 50 per cent of voting power, ensuring that he remains in full control of key decisions.</p><p>He will continue to serve as CEO, CTO and chairman, giving him authority across both management and governance.</p><p>This means Musk will be able to:</p><p>Appoint board members</p><p>Approve major decisions</p><p>Maintain long-term strategic direction</p><p>In practical terms, this structure makes it difficult for shareholders to influence company decisions.</p><h2><strong>Dual-class shares strengthen voting power</strong></h2><p>SpaceX uses a dual-class share structure, where certain shares carry higher voting rights.</p><p>Musk holds a large portion of these super-voting shares, giving him far greater influence than regular shareholders.</p><p>Public investors will mainly receive Class A shares, which come with lower voting power. This creates a gap between ownership and control.</p><p>Such structures are already used by companies like Google and Meta, but experts say SpaceX’s model goes further in concentrating power.</p><h2><strong>Limits on shareholder rights</strong></h2><p>The IPO filing outlines several restrictions on shareholder influence.</p><p>The company states that investors may have limited ability to:</p><p>Influence corporate decisions</p><p>Challenge management legally</p><p>Elect directors independently</p><p>&nbsp;</p><p>In addition, SpaceX has structured its legal framework in a way that makes shareholder lawsuits more difficult.</p><p>For example, investors would need to hold at least 3 per cent of shares to file certain types of legal claims. At current valuation estimates, this could require tens of billions of dollars in holdings.</p><h2><strong>Texas incorporation adds legal protection</strong></h2><p>SpaceX has chosen to incorporate in Texas, which offers a different regulatory environment compared to states like Delaware.</p><p>The company has also included provisions that direct most legal disputes to specific courts or arbitration systems.</p><p>Experts say this reduces the likelihood of legal challenges against management decisions.</p><h2><strong>Stock market dynamics may support valuation</strong></h2><p>The company is expected to be added quickly to major stock indexes such as the Nasdaq 100 after listing.</p><p>This could lead to increased demand from institutional investors, as index funds are required to buy shares of companies included in these benchmarks.</p><p>As a result, early trading may see strong demand, which could support the stock price in the initial phase.</p><h2><strong>Additional financial advantages for Musk</strong></h2><p>Musk has also been granted a compensation package that includes 1 billion additional shares, tied to long-term performance goals.</p><p>Even before these shares fully vest, he is allowed to:</p><p>Vote using these shares</p><p>Use them as collateral for loans</p><p>This provides financial flexibility and additional influence over the company.</p><h2><strong>What this means for investors</strong></h2><p>The SpaceX IPO offers an opportunity to invest in one of the world’s most valuable private companies. However, the structure means that public shareholders will have limited control. Investors may benefit from the company’s growth, but decision-making will remain concentrated with Musk.</p><h2><strong>What happens next</strong></h2><p>Further details about pricing and share allocation are expected closer to the IPO date.</p><p>The listing is likely to attract strong interest from global investors, but attention will remain on how the company balances growth with governance.</p><p>The SpaceX IPO highlights a broader trend in technology companies, where founders retain strong control even after going public.</p>

As SpaceX moves closer to a public listing, new details reveal how Elon Musk is likely to retain and in some ways increase his control over the company.


As SpaceX moves closer to a public listing, new details reveal how Elon Musk is likely to retain and in some ways increase his control over the company. According to the company’s IPO filing, Musk will continue to hold a dominant position even after SpaceX becomes a publicly traded firm, raising important questions for future investors. Musk’s control will remain above 50% Even after the IPO, Musk is expected to retain more than 50 per cent of voting power, ensuring that he remains in full control of key decisions. He will continue to serve as CEO, CTO and chairman, giving him authority across both management and governance. This means Musk will be able to: Appoint board members Approve major decisions Maintain long-term strategic direction In practical terms, this structure makes it difficult for shareholders to influence company decisions. Dual-class shares strengthen voting power SpaceX uses a dual-class share structure, where certain shares carry higher voting rights. Musk holds a large portion of these super-voting shares, giving him far greater influence than regular shareholders. Public investors will mainly receive Class A shares, which come with lower voting power. This creates a gap between ownership and control. Such structures are already used by companies like Google and Meta, but experts say SpaceX’s model goes further in concentrating power. Limits on shareholder rights The IPO filing outlines several restrictions on shareholder influence. The company states that investors may have limited ability to: Influence corporate decisions Challenge management legally Elect directors independently In addition, SpaceX has structured its legal framework in a way that makes shareholder lawsuits more difficult. For example, investors would need to hold at least 3 per cent of shares to file certain types of legal claims. At current valuation estimates, this could require tens of billions of dollars in holdings. Texas incorporation adds legal protection SpaceX has chosen to incorporate in Texas, which offers a different regulatory environment compared to states like Delaware. The company has also included provisions that direct most legal disputes to specific courts or arbitration systems. Experts say this reduces the likelihood of legal challenges against management decisions. Stock market dynamics may support valuation The company is expected to be added quickly to major stock indexes such as the Nasdaq 100 after listing. This could lead to increased demand from institutional investors, as index funds are required to buy shares of companies included in these benchmarks. As a result, early trading may see strong demand, which could support the stock price in the initial phase. Additional financial advantages for Musk Musk has also been granted a compensation package that includes 1 billion additional shares, tied to long-term performance goals. Even before these shares fully vest, he is allowed to: Vote using these shares Use them as collateral for loans This provides financial flexibility and additional influence over the company. What this means for investors The SpaceX IPO offers an opportunity to invest in one of the world’s most valuable private companies. However, the structure means that public shareholders will have limited control. Investors may benefit from the company’s growth, but decision-making will remain concentrated with Musk. What happens next Further details about pricing and share allocation are expected closer to the IPO date. The listing is likely to attract strong interest from global investors, but attention will remain on how the company balances growth with governance. The SpaceX IPO highlights a broader trend in technology companies, where founders retain strong control even after going public.

<p>As SpaceX moves closer to a public listing, new details reveal how Elon Musk is likely to retain and in some ways increase his control over the company.</p>

'SpaceX IPO': How Elon Musk is set to strengthen control after listing

<p>As SpaceX prepares for a potential public listing, new disclosures highlight who stands to benefit the most from the company’s initial public offering (IPO). The filings show that Elon Musk remains the dominant shareholder, with a level of control that sets him apart from other investors.</p><p>According to details from the company’s S-1 filing, Musk holds a significant majority of voting power, giving him control over key decisions even after the IPO.&nbsp;</p><h2>Elon Musk’s dominant stake explained</h2><p>Musk owns more than 6.4 billion shares in total, including:</p><p>Around 850 million Class A shares (one vote per share)</p><p>Nearly 5.6 billion Class B shares (10 votes per share)</p><p>This dual-class share structure gives Musk overwhelming voting power. Reports suggest that even additional shares linked to long-term targets, such as future Mars missions, do not materially change his already strong control.</p><p>This means Musk is likely to remain the key decision-maker even after SpaceX becomes a public company.</p><h2><strong>Who else benefits from the IPO</strong></h2><p>Apart from Musk, a small group of insiders and early investors also hold significant stakes.</p><p>These include:</p><p>Antonio Gracias, investor and board member, with over 503 million shares</p><p>Luke Nosek, investor, with nearly 33 million shares</p><p>Gwynne Shotwell, COO, with around 12.6 million shares</p><p>Bret Johnsen, CFO, with nearly 9.6 million shares</p><p>These individuals are among the largest shareholders after Musk and could see substantial gains if the IPO performs well.</p><h2><strong>Estimated valuation and potential gains</strong></h2><p>Market estimates suggest that the SpaceX IPO could raise around $75 billion, with a possible valuation of $1.7 trillion.</p><p>At this level:</p><p>A 1 per cent stake could be worth around $17 billion</p><p>Even smaller stakes could translate into billions of dollars in value</p><p>This highlights the scale of wealth that could be created for major shareholders.</p><h2><strong>Role of early investors</strong></h2><p>SpaceX has raised around $30 billion in private funding from hundreds of investors over the years.</p><p>Early investors bought shares at much lower prices:</p><p>Around $1 per share in early funding rounds</p><p>About $7.50 in mid-stage rounds</p><p>Up to $270 per share in later rounds</p><p>This wide range shows how early backers could see significant returns if the company lists at a high valuation.</p><h2><strong>Why control matters in this IPO</strong></h2><p>Unlike many public companies, SpaceX’s ownership structure ensures that Musk retains control even after listing.</p><p>The dual-class share system allows him to:</p><p>Maintain voting power</p><p>Influence strategic decisions</p><p>Control long-term direction</p><p>This structure is often used by founder-led companies to protect their vision while raising capital.</p><h2><strong>What this means for investors</strong></h2><p>For public investors, the IPO could offer access to one of the world’s most valuable private companies. However, the structure means that minority shareholders may have limited influence over decisions.</p><p>For insiders, the listing represents a major financial opportunity, with potential gains tied to the company’s future performance.</p><h2>What happens next</h2><p>Details such as pricing, share allocation and listing timelines are yet to be finalised. However, the disclosures provide a clear picture of who stands to benefit the most.</p><p>As SpaceX moves closer to going public, attention is likely to remain on its ownership structure and how it shapes the company’s future</p>

As SpaceX prepares for a potential public listing, new disclosures highlight who stands to benefit the most from the company’s initial public offering (IPO). The filings show that Elon Musk remains the dominant shareholder, with a level of control that sets him apart from other investors.


As SpaceX prepares for a potential public listing, new disclosures highlight who stands to benefit the most from the company’s initial public offering (IPO). The filings show that Elon Musk remains the dominant shareholder, with a level of control that sets him apart from other investors. According to details from the company’s S-1 filing, Musk holds a significant majority of voting power, giving him control over key decisions even after the IPO. Elon Musk’s dominant stake explained Musk owns more than 6.4 billion shares in total, including: Around 850 million Class A shares (one vote per share) Nearly 5.6 billion Class B shares (10 votes per share) This dual-class share structure gives Musk overwhelming voting power. Reports suggest that even additional shares linked to long-term targets, such as future Mars missions, do not materially change his already strong control. This means Musk is likely to remain the key decision-maker even after SpaceX becomes a public company. Who else benefits from the IPO Apart from Musk, a small group of insiders and early investors also hold significant stakes. These include: Antonio Gracias, investor and board member, with over 503 million shares Luke Nosek, investor, with nearly 33 million shares Gwynne Shotwell, COO, with around 12.6 million shares Bret Johnsen, CFO, with nearly 9.6 million shares These individuals are among the largest shareholders after Musk and could see substantial gains if the IPO performs well. Estimated valuation and potential gains Market estimates suggest that the SpaceX IPO could raise around $75 billion, with a possible valuation of $1.7 trillion. At this level: A 1 per cent stake could be worth around $17 billion Even smaller stakes could translate into billions of dollars in value This highlights the scale of wealth that could be created for major shareholders. Role of early investors SpaceX has raised around $30 billion in private funding from hundreds of investors over the years. Early investors bought shares at much lower prices: Around $1 per share in early funding rounds About $7.50 in mid-stage rounds Up to $270 per share in later rounds This wide range shows how early backers could see significant returns if the company lists at a high valuation. Why control matters in this IPO Unlike many public companies, SpaceX’s ownership structure ensures that Musk retains control even after listing. The dual-class share system allows him to: Maintain voting power Influence strategic decisions Control long-term direction This structure is often used by founder-led companies to protect their vision while raising capital. What this means for investors For public investors, the IPO could offer access to one of the world’s most valuable private companies. However, the structure means that minority shareholders may have limited influence over decisions. For insiders, the listing represents a major financial opportunity, with potential gains tied to the company’s future performance. What happens next Details such as pricing, share allocation and listing timelines are yet to be finalised. However, the disclosures provide a clear picture of who stands to benefit the most. As SpaceX moves closer to going public, attention is likely to remain on its ownership structure and how it shapes the company’s future

<p>As SpaceX prepares for a potential public listing, new disclosures highlight who stands to benefit the most from the company’s initial public offering (IPO). The filings show that Elon Musk remains the dominant shareholder, with a level of control that sets him apart from other investors.</p>

'$1.7 trillion valuation': Who will win big from SpaceX’s listing?

<p>Leaked audio by labour-focused media organisation More Perfect Union from an April 30 town hall reveals Meta CEO Mark Zuckerberg saying that its employees were used to train AI data. In the audio it Zuckerberg could be hard explaining that the company’s new artificial intelligence data tracking program was a way to “learn from watching really smart people do things.” The audio surfaced as Meta has begun laying off roughly 8,000 employees, 10 per cent of its workforce. In the recording, Zuckerberg defended a mandatory internal software program that logs employee keystrokes, mouse movements, and screen snapshots.</p><p>Zuckerberg explicitly told employees that the average intelligence of the Meta employees was “significantly higher” than that of the outside contractors typically hired for data labelling. “So if we’re trying to teach the models coding, for example, then having people internally build tools or solve tasks that help teach the model how to code, we think is going to dramatically increase our model’s coding ability faster than what others in the industry have the capability to do, who don’t have thousands and thousands of extremely strong engineers at their company," said Zuckerberg. Meta did not spell out or clarified on the whole process because “this stuff is tricky” &nbsp;and “not strategically in your interest for us to communicate everything” so that competitors could not catch on.</p><p><strong>Also Read: </strong><a href="https://www.wionews.com/world/nvidia-q1-fy2027-record-revenue-ai-boom-data-centre-growth-1779368905223"><strong>NVIDIA posts record $81.6 billion revenue: Why NVIDIA is the biggest winner of the global AI boom</strong></a></p>

<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">LEAKED AUDIO: In an all-hands meeting on April 30, Mark Zuckerberg tells employees that he&#39;s training AI on them ahead of mass layoffs.<br><br>&quot;The AI models learn from watching really smart people do things... The average intelligence of the people who are at this company is… <a href="https://t.co/lt9eeJ3cwh">pic.twitter.com/lt9eeJ3cwh</a></p>&mdash; More Perfect Union (@MorePerfectUS) <a href="https://twitter.com/MorePerfectUS/status/2056842597117636890?ref_src=twsrc%5Etfw">May 19, 2026</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

<p>Meta has laid off 8,000 active positions and cancelled 6,000 open job roles in European and US offices, as the company is redirecting between $125 billion and $145 billion into AI infrastructure and data centres this year alone. Meta is further assigning 7,000 workers to four new organisations focused on developing AI tools. They will be moved to a new segment of the “AI native design structures” where the employee-to-manager ratio will be smaller than in other organisations.&nbsp;</p><p>The NYT earlier reported that employees were sceptical about the AI tracking program and expressed fear that they would unknowingly train models that would replace them. The tracking program known as the Model Capability Initiative runs across apps like Gmail, VSCode, and Meta’s internal assistant, Metamate. When employees asked how to opt out, Meta Chief Technology Officer Andrew Bosworth responded bluntly, "There is no option to opt out of this on your work provided laptop."</p>

Leaked audio reveals Mark Zuckerberg saying Meta employees were used to train AI models through internal tracking software, as the company lays off 8,000 workers and ramps up AI investments.

Leaked audio by labour-focused media organisation More Perfect Union from an April 30 town hall reveals Meta CEO Mark Zuckerberg saying that its employees were used to train AI data. In the audio it Zuckerberg could be hard explaining that the company’s new artificial intelligence data tracking program was a way to “learn from watching really smart people do things.” The audio surfaced as Meta has begun laying off roughly 8,000 employees, 10 per cent of its workforce. In the recording, Zuckerberg defended a mandatory internal software program that logs employee keystrokes, mouse movements, and screen snapshots. Zuckerberg explicitly told employees that the average intelligence of the Meta employees was “significantly higher” than that of the outside contractors typically hired for data labelling. “So if we’re trying to teach the models coding, for example, then having people internally build tools or solve tasks that help teach the model how to code, we think is going to dramatically increase our model’s coding ability faster than what others in the industry have the capability to do, who don’t have thousands and thousands of extremely strong engineers at their company," said Zuckerberg. Meta did not spell out or clarified on the whole process because “this stuff is tricky” and “not strategically in your interest for us to communicate everything” so that competitors could not catch on. Also Read: NVIDIA posts record $81.6 billion revenue: Why NVIDIA is the biggest winner of the global AI boom

<p>Leaked audio reveals Mark Zuckerberg saying Meta employees were used to train AI models through internal tracking software, as the company lays off 8,000 workers and ramps up AI investments.</p>

Meta CEO Mark Zuckerberg says 'smart' employees used to train AI models in viral audio

<p>Elon Musk has announced a new hiring drive for SpaceXAI, his artificial intelligence division, inviting engineers and physicists to apply even if they have no prior experience in AI.</p><p>The announcement was shared on social media, where Musk said the company is looking for “world-class engineers and physicists” who can adapt quickly and learn on the job.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">SpaceX is actively hiring world-class engineers/physicists for SpaceXAI, even if you have zero prior experience in AI. Smart humans figure it out fast.<br><br>Please send an email with ~3 bullet points demonstrating evidence of exceptional ability to ai_eng@spacex.com.</p>&mdash; Elon Musk (@elonmusk) <a href="https://twitter.com/elonmusk/status/2057327547411570907?ref_src=twsrc%5Etfw">May 21, 2026</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

<h2><strong>Focus on skills over experience</strong></h2><p>Musk said candidates do not need previous experience in artificial intelligence to apply. Instead, the focus is on identifying individuals with strong problem-solving ability and technical skills. Applicants have been asked to send an email with three bullet points that demonstrate “exceptional ability”. This suggests that SpaceXAI is prioritising talent and learning capacity over traditional qualifications in AI.</p><h2><strong>How to apply for SpaceXAI roles</strong></h2><p>Interested candidates can apply by sending an email to the company. The application process is relatively simple and does not require extensive documentation. The key requirement is to highlight achievements or work that reflects strong technical capability. This approach is different from standard hiring processes that often focus on prior experience in a specific field.</p><h2><strong>xAI now rebranded as SpaceXAI</strong></h2><p>The hiring announcement follows Musk’s decision to merge xAI into SpaceX and rename the combined entity as SpaceXAI. According to Musk, xAI will no longer operate as a separate company. Instead, all AI-related work will be part of SpaceX’s broader operations. This restructuring is part of a larger effort to align AI development with SpaceX’s existing infrastructure and long-term plans.</p><h2><strong>Growing demand for AI talent</strong></h2><p>The move comes at a time when demand for AI talent is increasing globally. Many companies are competing to hire skilled professionals in areas such as machine learning, data science and engineering. By opening roles to candidates without direct AI experience, SpaceXAI is expanding its talent pool and attracting individuals from related fields such as physics and engineering.</p><p>&nbsp;</p><p>SpaceXAI’s approach reflects a shift in hiring practices in the technology sector. Companies are increasingly focusing on adaptability and learning ability rather than narrow experience requirements. This trend may create new opportunities for professionals who want to move into AI from other technical fields. As SpaceXAI continues to expand its operations, more hiring announcements are expected. The company is also increasing its computing infrastructure and developing new AI systems. The success of this hiring approach will depend on how effectively new recruits can adapt to AI-related work and contribute to ongoing projects</p>

Elon Musk has announced a new hiring drive for SpaceXAI, his artificial intelligence division, inviting engineers and physicists to apply even if they have no prior experience in AI.


Elon Musk has announced a new hiring drive for SpaceXAI, his artificial intelligence division, inviting engineers and physicists to apply even if they have no prior experience in AI. The announcement was shared on social media, where Musk said the company is looking for “world-class engineers and physicists” who can adapt quickly and learn on the job.

<p>Elon Musk has announced a new hiring drive for SpaceXAI, his artificial intelligence division, inviting engineers and physicists to apply even if they have no prior experience in AI.</p>

Elon Musk invites engineers with no AI experience to join SpaceXAI

<p>Jeff Bezos has said that the bottom half of income earners in the United States should not pay any federal income tax, arguing that the current system places an unnecessary burden on lower-income workers. Speaking in a recent interview, Bezos said that the bottom 50 per cent of taxpayers contribute only about 3 per cent of total income tax revenue, and therefore removing their tax burden would have limited impact on government finances.&nbsp;</p><h2><strong>What Bezos said about the tax system</strong></h2><p>Bezos argued that the current system is not balanced for lower-income workers. He pointed out that many people earning modest salaries still pay a significant portion of their income in taxes.</p><p>Using examples such as a nurse earning around $75,000 a year or a worker earning $50,000, he questioned why such individuals are taxed at all. According to him, removing taxes on this group could directly improve their financial stability.</p><p>He also noted that higher-income groups contribute a much larger share of total tax revenue, suggesting that changes at the lower end would not significantly affect government funding.</p><h2><strong>What the data shows</strong></h2><p>According to analysis of US tax data:</p><p>&nbsp;</p><p>The average income tax rate was around 14.1 per cent in 2023</p><p>The top 1 per cent paid an average rate of 26.3 per cent</p><p>The bottom 50 per cent paid about 3.7 per cent on average</p><p>These figures show a progressive tax system, where higher earners pay a larger share. However, Bezos argues that even the smaller tax burden on lower-income groups should be removed.&nbsp;</p><h2><strong>Income gap and wage concerns</strong></h2><p>The discussion comes alongside concerns about income levels and wage differences.</p><p>Research cited in reports shows that delivery drivers at Amazon earn an average of around $19 per hour, compared to about $35 per hour for unionised drivers at UPS.</p><p>Studies also suggest:</p><p>Around 26 per cent of Amazon drivers face food insecurity</p><p>About 33 per cent struggle to pay utility bills</p><p>These figures highlight financial pressures faced by some workers, which forms part of the wider debate around taxation and income inequality.&nbsp;</p><h2><strong>Debate around tax reforms</strong></h2><p>Bezos’ comments come at a time when tax policies are being widely debated in the United States. Some policymakers have proposed tax relief for lower-income groups. For example, proposals such as making the first $75,000 of income tax-free have been discussed.</p><p>At the same time, there have also been calls for higher taxes on wealthy individuals, including proposals for a “billionaire tax” in states like California.</p><h2><strong>Bezos’ wealth and broader context</strong></h2><p>Bezos is currently among the richest individuals globally, with an estimated net worth of over $267 billion, according to reports.</p><p>His views on taxation are therefore part of a broader discussion on how wealth, income and tax responsibilities should be balanced in modern economies.</p><h2><strong>What this means for policy debate</strong></h2><p>The proposal to eliminate income tax for the bottom half of earners adds to ongoing discussions about fairness in taxation. Supporters argue it could increase disposable income for millions of households, while critics may raise concerns about government revenue and long-term fiscal impact. As debates continue, the focus is likely to remain on how to balance economic growth, income distribution and public spending in a changing financial landscape.</p>

Jeff Bezos has said that the bottom half of income earners in the United States should not pay any federal income tax, arguing that the current system places an unnecessary burden on lower-income workers.


Jeff Bezos has said that the bottom half of income earners in the United States should not pay any federal income tax, arguing that the current system places an unnecessary burden on lower-income workers. Speaking in a recent interview, Bezos said that the bottom 50 per cent of taxpayers contribute only about 3 per cent of total income tax revenue, and therefore removing their tax burden would have limited impact on government finances. What Bezos said about the tax system Bezos argued that the current system is not balanced for lower-income workers. He pointed out that many people earning modest salaries still pay a significant portion of their income in taxes. Using examples such as a nurse earning around $75,000 a year or a worker earning $50,000, he questioned why such individuals are taxed at all. According to him, removing taxes on this group could directly improve their financial stability. He also noted that higher-income groups contribute a much larger share of total tax revenue, suggesting that changes at the lower end would not significantly affect government funding. What the data shows According to analysis of US tax data: The average income tax rate was around 14.1 per cent in 2023 The top 1 per cent paid an average rate of 26.3 per cent The bottom 50 per cent paid about 3.7 per cent on average These figures show a progressive tax system, where higher earners pay a larger share. However, Bezos argues that even the smaller tax burden on lower-income groups should be removed. Income gap and wage concerns The discussion comes alongside concerns about income levels and wage differences. Research cited in reports shows that delivery drivers at Amazon earn an average of around $19 per hour, compared to about $35 per hour for unionised drivers at UPS. Studies also suggest: Around 26 per cent of Amazon drivers face food insecurity About 33 per cent struggle to pay utility bills These figures highlight financial pressures faced by some workers, which forms part of the wider debate around taxation and income inequality. Debate around tax reforms Bezos’ comments come at a time when tax policies are being widely debated in the United States. Some policymakers have proposed tax relief for lower-income groups. For example, proposals such as making the first $75,000 of income tax-free have been discussed. At the same time, there have also been calls for higher taxes on wealthy individuals, including proposals for a “billionaire tax” in states like California. Bezos’ wealth and broader context Bezos is currently among the richest individuals globally, with an estimated net worth of over $267 billion, according to reports. His views on taxation are therefore part of a broader discussion on how wealth, income and tax responsibilities should be balanced in modern economies. What this means for policy debate The proposal to eliminate income tax for the bottom half of earners adds to ongoing discussions about fairness in taxation. Supporters argue it could increase disposable income for millions of households, while critics may raise concerns about government revenue and long-term fiscal impact. As debates continue, the focus is likely to remain on how to balance economic growth, income distribution and public spending in a changing financial landscape.

<p>Jeff Bezos has said that the bottom half of income earners in the United States should not pay any federal income tax, arguing that the current system places an unnecessary burden on lower-income workers.</p>

Amazon founder Jeff Bezos says bottom half of earners should not pay income tax

<p>Google has announced a major shift in its artificial intelligence strategy, with CEO Sundar Pichai focusing on bringing AI agents into everyday products used by billions of people.</p><p>Speaking at the Google I/O 2026 developer conference, Pichai said the company is moving from building AI tools for developers and enterprises to delivering agent-based experiences directly to consumers.&nbsp;</p><p>He noted that Google now has 13 products with over 1 billion users each, including five products used by more than 3 billion people, highlighting the scale at which these AI features can be deployed.</p><h2><strong>Google Search gets its biggest update in years</strong></h2><p>One of the key announcements was a major update to Google Search, described as the biggest change in over 25 years.</p><p>The search box is being redesigned to support longer, more conversational queries. Users will now be able to:</p><p>Ask complex questions</p><p>Upload images, videos or files</p><p>Get AI-assisted suggestions while typing</p><p>&nbsp;</p><p>Google is combining features like AI Overviews and AI Mode into a single experience. According to company data, AI Overviews already has over 2.5 billion monthly users, while AI Mode has crossed 1 billion monthly users.</p><h2><strong>Introduction of AI agents in search</strong></h2><p>Google also introduced Search Agents, which are designed to work in the background and assist users continuously.</p><p>These agents can:</p><p>Track market trends</p><p>Monitor shopping deals</p><p>Follow sports updates</p><p>Alert users about relevant changes</p><p>For example, users can set up an agent to track stock prices or housing listings based on specific criteria. This marks a shift from manual searching to automated information tracking.</p><h2><strong>Gemini Spark and personal AI assistants</strong></h2><p>Google is launching a new personal AI assistant called Gemini Spark within the Gemini app.</p><p>This always-on assistant can:</p><p>Summarise emails and meetings</p><p>Create documents and reports</p><p>Manage tasks and schedules</p><p>&nbsp;</p><p>It integrates with tools like Gmail, Docs and Calendar, helping users manage their daily work more efficiently. The system runs on cloud-based infrastructure, allowing it to operate continuously in the background.</p><h2><strong>AI-powered tools and app creation</strong></h2><p>Google is also enabling users to create simple applications directly within Search using its AI tools.</p><p>Users can build:</p><p>Fitness trackers</p><p>Event planners</p><p>Budget tools</p><p>These tools can pull real-time data such as weather updates, reviews and location-based information, making them more dynamic and personalised.</p><h2>Move towards advanced AI models</h2><p>Alongside product updates, Google introduced a new family of AI models called Gemini Omni. These models can process multiple types of input, including text, images, audio and video.</p><p>According to Demis Hassabis, the development represents progress towards artificial general intelligence (AGI), where systems can perform a wide range of tasks.</p><p>The first version, Gemini Omni Flash, will be available across Google platforms, including the Gemini app and YouTube tools.</p><h2>What this means for users and the industry</h2><p>Google’s latest announcements show a shift from traditional search and apps to AI-driven experiences that can act on behalf of users.</p><p>Instead of manually searching and managing tasks, users may increasingly rely on AI agents to handle routine activities.</p><p>The move also reflects growing competition in the AI space, as companies focus on integrating AI deeply into their products.</p><h2>What happens next</h2><p>Many of these features will roll out gradually over the coming months, with some initially available to premium users and testers.</p><p>As adoption grows, Google’s agent-based approach could change how people interact with digital services, moving from simple queries to continuous, AI-assisted workflows.</p>

Google has announced a major shift in its artificial intelligence strategy, with CEO Sundar Pichai focusing on bringing AI agents into everyday products used by billions of people.


Google has announced a major shift in its artificial intelligence strategy, with CEO Sundar Pichai focusing on bringing AI agents into everyday products used by billions of people. Speaking at the Google I/O 2026 developer conference, Pichai said the company is moving from building AI tools for developers and enterprises to delivering agent-based experiences directly to consumers. He noted that Google now has 13 products with over 1 billion users each, including five products used by more than 3 billion people, highlighting the scale at which these AI features can be deployed. Google Search gets its biggest update in years One of the key announcements was a major update to Google Search, described as the biggest change in over 25 years. The search box is being redesigned to support longer, more conversational queries. Users will now be able to: Ask complex questions Upload images, videos or files Get AI-assisted suggestions while typing Google is combining features like AI Overviews and AI Mode into a single experience. According to company data, AI Overviews already has over 2.5 billion monthly users, while AI Mode has crossed 1 billion monthly users. Introduction of AI agents in search Google also introduced Search Agents, which are designed to work in the background and assist users continuously. These agents can: Track market trends Monitor shopping deals Follow sports updates Alert users about relevant changes For example, users can set up an agent to track stock prices or housing listings based on specific criteria. This marks a shift from manual searching to automated information tracking. Gemini Spark and personal AI assistants Google is launching a new personal AI assistant called Gemini Spark within the Gemini app. This always-on assistant can: Summarise emails and meetings Create documents and reports Manage tasks and schedules It integrates with tools like Gmail, Docs and Calendar, helping users manage their daily work more efficiently. The system runs on cloud-based infrastructure, allowing it to operate continuously in the background. AI-powered tools and app creation Google is also enabling users to create simple applications directly within Search using its AI tools. Users can build: Fitness trackers Event planners Budget tools These tools can pull real-time data such as weather updates, reviews and location-based information, making them more dynamic and personalised. Move towards advanced AI models Alongside product updates, Google introduced a new family of AI models called Gemini Omni. These models can process multiple types of input, including text, images, audio and video. According to Demis Hassabis, the development represents progress towards artificial general intelligence (AGI), where systems can perform a wide range of tasks. The first version, Gemini Omni Flash, will be available across Google platforms, including the Gemini app and YouTube tools. What this means for users and the industry Google’s latest announcements show a shift from traditional search and apps to AI-driven experiences that can act on behalf of users. Instead of manually searching and managing tasks, users may increasingly rely on AI agents to handle routine activities. The move also reflects growing competition in the AI space, as companies focus on integrating AI deeply into their products. What happens next Many of these features will roll out gradually over the coming months, with some initially available to premium users and testers. As adoption grows, Google’s agent-based approach could change how people interact with digital services, moving from simple queries to continuous, AI-assisted workflows.

<p>Google has announced a major shift in its artificial intelligence strategy, with CEO Sundar Pichai focusing on bringing AI agents into everyday products used by billions of people.</p>

AI in everyday life: How Google plans to transform user experience

<p>Anthropic has signed a large-scale agreement to purchase computing capacity from xAI, in a deal that could reshape how artificial intelligence companies access infrastructure.</p><p>&nbsp;</p><p>Under the agreement, Anthropic will pay around $1.25 billion per month for compute resources until May 2029. The total value of the deal could exceed $40 billion, according to filings referenced in reports.</p><p>&nbsp;</p><h2><strong>What the deal includes</strong></h2><p>The agreement gives Anthropic access to around 300 megawatts of compute capacity, covering the full output of a large data centre known as Colossus 1, located in Tennessee in the United States. This scale of computing power is required to train and run advanced AI models. As models become more complex, companies need larger infrastructure to support them.</p><p>&nbsp;</p><p>The contract includes a discounted rate for the initial months and allows either side to terminate the agreement with 90 days’ notice.</p><h2><strong>Why compute has become critical in AI</strong></h2><p>In artificial intelligence, computing power is now one of the most important resources. Training large AI models requires thousands of specialised chips and significant energy. Industry experts note that access to compute has become a key competitive factor. Companies that secure large-scale infrastructure can develop and deploy models more quickly.</p><p>This has led to increasing investments in data centres and long-term compute contracts.</p><h2><strong>xAI’s dual business strategy</strong></h2><p>The deal highlights a shift in xAI’s approach. Instead of using all its infrastructure internally, the company is now offering unused capacity to other firms. This model, sometimes described as a “neocloud”, allows companies to act both as AI developers and infrastructure providers.</p><p>According to filings, this strategy helps xAI generate revenue from its existing infrastructure while continuing its own AI development.</p><h2><strong>Possible reasons behind the agreement</strong></h2><p>Reports suggest that xAI may have built more compute capacity than it currently needs. With demand for its own AI products fluctuating, selling excess capacity provides a way to recover costs.</p><p>At the same time, Anthropic benefits by gaining immediate access to large-scale infrastructure without building new data centres. This creates a mutually beneficial arrangement, where one company supplies infrastructure and the other uses it to expand its AI capabilities.</p><h2><strong>Impact on the AI industry</strong></h2><p>The deal reflects a broader trend where AI companies are entering long-term agreements for computing power. It also shows how the industry is evolving beyond software into infrastructure-heavy operations. Competition is no longer limited to models and algorithms. It now includes access to hardware, energy and data centre capacity.</p><h2><strong>What this means going forward</strong></h2><p>As AI systems continue to grow in size and complexity, demand for compute is expected to increase further. More companies may adopt similar partnerships to secure reliable infrastructure. The Anthropic-xAI agreement shows how the AI industry is changing, with large-scale investments in computing becoming central to future development</p><p>&nbsp;</p><p>&nbsp;</p>

Anthropic has signed a large-scale agreement to purchase computing capacity from xAI, in a deal that could reshape how artificial intelligence companies access infrastructure.

Anthropic has signed a large-scale agreement to purchase computing capacity from xAI, in a deal that could reshape how artificial intelligence companies access infrastructure. Under the agreement, Anthropic will pay around $1.25 billion per month for compute resources until May 2029. The total value of the deal could exceed $40 billion, according to filings referenced in reports. What the deal includes The agreement gives Anthropic access to around 300 megawatts of compute capacity, covering the full output of a large data centre known as Colossus 1, located in Tennessee in the United States. This scale of computing power is required to train and run advanced AI models. As models become more complex, companies need larger infrastructure to support them. The contract includes a discounted rate for the initial months and allows either side to terminate the agreement with 90 days’ notice. Why compute has become critical in AI In artificial intelligence, computing power is now one of the most important resources. Training large AI models requires thousands of specialised chips and significant energy. Industry experts note that access to compute has become a key competitive factor. Companies that secure large-scale infrastructure can develop and deploy models more quickly. This has led to increasing investments in data centres and long-term compute contracts. xAI’s dual business strategy The deal highlights a shift in xAI’s approach. Instead of using all its infrastructure internally, the company is now offering unused capacity to other firms. This model, sometimes described as a “neocloud”, allows companies to act both as AI developers and infrastructure providers. According to filings, this strategy helps xAI generate revenue from its existing infrastructure while continuing its own AI development. Possible reasons behind the agreement Reports suggest that xAI may have built more compute capacity than it currently needs. With demand for its own AI products fluctuating, selling excess capacity provides a way to recover costs. At the same time, Anthropic benefits by gaining immediate access to large-scale infrastructure without building new data centres. This creates a mutually beneficial arrangement, where one company supplies infrastructure and the other uses it to expand its AI capabilities. Impact on the AI industry The deal reflects a broader trend where AI companies are entering long-term agreements for computing power. It also shows how the industry is evolving beyond software into infrastructure-heavy operations. Competition is no longer limited to models and algorithms. It now includes access to hardware, energy and data centre capacity. What this means going forward As AI systems continue to grow in size and complexity, demand for compute is expected to increase further. More companies may adopt similar partnerships to secure reliable infrastructure. The Anthropic-xAI agreement shows how the AI industry is changing, with large-scale investments in computing becoming central to future development

<p>Anthropic has signed a large-scale agreement to purchase computing capacity from xAI, in a deal that could reshape how artificial intelligence companies access infrastructure.</p>

Anthropic to pay $1.25 billion monthly to xAI for compute in major AI infrastructure deal

<p>What started as a simple Work from Home (WFH) instruction at Meta has snowballed into the beginning of a massive layoff operation, with around 8,000 employees expected to be shown the exit door.</p><h2><strong>What happened?</strong></h2><p>It started with something that, in today’s tech world, barely raises eyebrows anymore. "Work from home today," read the instruction. Reports suggest there was no dramatic announcement. No all-hands meeting. No tense gathering inside glass-walled conference rooms. Employees across Meta offices in regions including Singapore, the US and the UK were simply told not to come in. Then, hours later, the real emails began landing in inboxes.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/world/-corruption-in-plain-sight-trump-and-family-get-forever-shield-from-irs-audits-after-hush-hush-settlement-all-you-need-to-know-1779253991583"><strong>'Corruption in plain sight': Trump and family get ‘FOREVER’ shield from IRS audits after hush-hush settlement. All you need to know</strong></a></p><p>Meta has begun layoffs, cutting roughly 8,000 jobs, close to 10 per cent of its workforce, while simultaneously reshuffling thousands of remaining employees into AI-focused divisions as Mark Zuckerberg pushes the company deeper into what insiders are increasingly calling an AI-first reset.</p><h2><strong>Meta fires staff early morning</strong></h2><p>According to reports, some affected staff in Singapore received termination emails around 4 am local time, reported Bloomberg. The sequencing did not go unnoticed: WFH first, layoffs next.</p><p>Inside Meta, many employees reportedly viewed the remote-work directive as a deliberate way to avoid visible scenes at offices, no emotional exits, no angry floor discussions.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/world/one-day-after-reaffirming-unwavering-commitment-to-punishing-moscow-uk-quietly-eases-russian-oil-sanctions-as-fuel-prices-climb-india-import-1779245613212"><strong>UK quietly eases Russian oil sanctions despite vowing 'unwavering' commitment to punishing Moscow</strong></a></p><p>Reports suggest that AI is not just changing products, it's now changing who stays employed. Meta says the restructuring is part of a broader effort to streamline operations and redirect resources toward artificial intelligence.</p><p>In an internal memo, Chief People Officer Janelle Gale said that about 7,000 employees are being moved into new AI-native teams. In addition, nearly 6,000 open roles are simply being eliminated altogether.</p><p>The company is also flattening management structures and shrinking team sizes. "We're now at the stage where many orgs can operate with a flatter structure with smaller teams of pods/cohorts that can move faster and with more ownership," Gale reportedly said in an internal memo.</p><p>Meta now plans to spend between $125 billion and $145 billion this year, much of it tied to AI infrastructure and data centres.&nbsp;<br>&nbsp;</p>

Meta’s latest wave of layoffs reportedly began with an unusually quiet instruction: stay home. Employees across offices in Singapore, the US and the UK were told to work remotely for the day, only for termination emails to begin arriving hours later, some as early as 4 am.

What started as a simple Work from Home (WFH) instruction at Meta has snowballed into the beginning of a massive layoff operation, with around 8,000 employees expected to be shown the exit door. What happened? It started with something that, in today’s tech world, barely raises eyebrows anymore. "Work from home today," read the instruction. Reports suggest there was no dramatic announcement. No all-hands meeting. No tense gathering inside glass-walled conference rooms. Employees across Meta offices in regions including Singapore, the US and the UK were simply told not to come in. Then, hours later, the real emails began landing in inboxes. Also read | 'Corruption in plain sight': Trump and family get ‘FOREVER’ shield from IRS audits after hush-hush settlement. All you need to know Meta has begun layoffs, cutting roughly 8,000 jobs, close to 10 per cent of its workforce, while simultaneously reshuffling thousands of remaining employees into AI-focused divisions as Mark Zuckerberg pushes the company deeper into what insiders are increasingly calling an AI-first reset. Meta fires staff early morning According to reports, some affected staff in Singapore received termination emails around 4 am local time, reported Bloomberg. The sequencing did not go unnoticed: WFH first, layoffs next. Inside Meta, many employees reportedly viewed the remote-work directive as a deliberate way to avoid visible scenes at offices, no emotional exits, no angry floor discussions. Also read | UK quietly eases Russian oil sanctions despite vowing 'unwavering' commitment to punishing Moscow Reports suggest that AI is not just changing products, it's now changing who stays employed. Meta says the restructuring is part of a broader effort to streamline operations and redirect resources toward artificial intelligence. In an internal memo, Chief People Officer Janelle Gale said that about 7,000 employees are being moved into new AI-native teams. In addition, nearly 6,000 open roles are simply being eliminated altogether. The company is also flattening management structures and shrinking team sizes. "We're now at the stage where many orgs can operate with a flatter structure with smaller teams of pods/cohorts that can move faster and with more ownership," Gale reportedly said in an internal memo. Meta now plans to spend between $125 billion and $145 billion this year, much of it tied to AI infrastructure and data centres.

<p>Meta’s latest wave of layoffs reportedly began with an unusually quiet instruction: stay home. Employees across offices in Singapore, the US and the UK were told to work remotely for the day, only for termination emails to begin arriving hours later, some as early as 4 am.</p>

Meta told employees to work from home, then began firing thousands: Inside company's shocking 8,000-job purge

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