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<p>Microsoft is reportedly working on a new "super app" designed to bring its growing collection of artificial intelligence tools into a single platform.</p><p>According to a report by Fortune, the company is developing a unified application that could combine various Copilot services and AI-powered tools currently spread across different Microsoft products. The move comes as Microsoft faces growing criticism from users who find its expanding AI ecosystem confusing and difficult to navigate. If launched, the app could become a central destination for Microsoft's AI services, making it easier for both consumers and businesses to access different tools from one place.</p><h2><strong>Why is Microsoft building a super app?</strong></h2><p>Over the past two years, Microsoft has introduced AI features across many of its products, including Windows, Microsoft 365, GitHub and Teams. However, this rapid expansion has also created confusion. Users often encounter multiple versions of Copilot, each designed for different tasks.</p><p>For example, consumers can currently choose between the standalone Copilot app and Microsoft's productivity-focused app, which also carries the Copilot branding while integrating features from Word, Excel and other Microsoft 365 services. According to the Fortune report, even Microsoft employees have raised concerns about the growing number of Copilot products and the difficulty users face in understanding which app they should use. During an internal town hall meeting, an employee reportedly asked CEO Satya Nadella how the company planned to help customers navigate the growing collection of Copilot tools. Nadella reportedly responded humorously, saying the simplest solution would be to have a billion users for each app.</p><h2><strong>What could the new app include?</strong></h2><p>According to reports, Microsoft's super app is expected to serve as a central hub for several AI-powered services.</p><p>The platform could integrate:<br>GitHub Copilot for software development</p><p>Copilot Chat for conversational AI assistance</p><p>Copilot features inside Microsoft 365</p><p>Future AI workflow automation tools</p><p>Team collaboration features powered by AI</p><p>One of the key features reportedly being considered is the ability for users to switch easily between personal and work accounts without needing multiple applications. Industry analysts say this could simplify Microsoft's AI experience and help users move more seamlessly between different tasks.</p><p>The strategy behind 'One Copilot'</p><p>The project is reportedly being developed under the internal slogan "Delivering One Copilot". The initiative is said to be led by Jacob Andreou, who recently took charge of Microsoft's Copilot division. The broader goal appears to be reducing fragmentation across Microsoft's AI products and creating a more unified brand identity. Technology companies increasingly want AI assistants to become the primary interface through which users interact with digital services. A single platform could help Microsoft strengthen user engagement while making its AI ecosystem easier to understand.</p><h2><strong>Why AI companies are moving towards super apps</strong></h2><p>Microsoft is not alone in pursuing this strategy. Across the technology industry, companies are trying to bring multiple AI tools into unified experiences rather than offering separate products for different tasks. The approach is similar to how messaging apps, productivity platforms and social media services evolved into larger ecosystems over time. A unified AI platform could allow users to search information, write documents, analyse data, generate code and manage workflows without constantly switching between applications.</p><p>Reports have also suggested that OpenAI is exploring ways to create a more integrated experience across its own products.</p><h2>The growing AI competition</h2><p>The reported super app project highlights how competition in the AI sector is shifting. The focus is no longer only on building the most capable AI models. Companies are increasingly competing on user experience, integration and ease of use. Microsoft has invested billions of dollars into AI development and maintains a close partnership with OpenAI. The company has embedded AI features across Windows, Office, GitHub and enterprise software products. However, as the number of AI-powered services grows, simplifying the experience has become just as important as improving the technology itself. Microsoft has not officially announced the super app, and the company has not publicly confirmed details of the reported project. However, if the reports are accurate, the platform could be introduced later this year. For users, the biggest benefit would be simplicity. Instead of choosing between multiple Copilot products, they could access coding assistance, productivity tools, AI chat and workflow automation from a single destination.</p><p>As AI becomes more deeply integrated into everyday work and personal computing, technology companies are increasingly looking for ways to make their growing ecosystems easier to use. Microsoft's reported "One Copilot" strategy appears to be a step in that direction.</p>

Microsoft is reportedly working on a new "super app" designed to bring its growing collection of artificial intelligence tools into a single platform.

Microsoft is reportedly working on a new "super app" designed to bring its growing collection of artificial intelligence tools into a single platform. According to a report by Fortune, the company is developing a unified application that could combine various Copilot services and AI-powered tools currently spread across different Microsoft products. The move comes as Microsoft faces growing criticism from users who find its expanding AI ecosystem confusing and difficult to navigate. If launched, the app could become a central destination for Microsoft's AI services, making it easier for both consumers and businesses to access different tools from one place. Why is Microsoft building a super app? Over the past two years, Microsoft has introduced AI features across many of its products, including Windows, Microsoft 365, GitHub and Teams. However, this rapid expansion has also created confusion. Users often encounter multiple versions of Copilot, each designed for different tasks. For example, consumers can currently choose between the standalone Copilot app and Microsoft's productivity-focused app, which also carries the Copilot branding while integrating features from Word, Excel and other Microsoft 365 services. According to the Fortune report, even Microsoft employees have raised concerns about the growing number of Copilot products and the difficulty users face in understanding which app they should use. During an internal town hall meeting, an employee reportedly asked CEO Satya Nadella how the company planned to help customers navigate the growing collection of Copilot tools. Nadella reportedly responded humorously, saying the simplest solution would be to have a billion users for each app. What could the new app include? According to reports, Microsoft's super app is expected to serve as a central hub for several AI-powered services. The platform could integrate: GitHub Copilot for software development Copilot Chat for conversational AI assistance Copilot features inside Microsoft 365 Future AI workflow automation tools Team collaboration features powered by AI One of the key features reportedly being considered is the ability for users to switch easily between personal and work accounts without needing multiple applications. Industry analysts say this could simplify Microsoft's AI experience and help users move more seamlessly between different tasks. The strategy behind 'One Copilot' The project is reportedly being developed under the internal slogan "Delivering One Copilot". The initiative is said to be led by Jacob Andreou, who recently took charge of Microsoft's Copilot division. The broader goal appears to be reducing fragmentation across Microsoft's AI products and creating a more unified brand identity. Technology companies increasingly want AI assistants to become the primary interface through which users interact with digital services. A single platform could help Microsoft strengthen user engagement while making its AI ecosystem easier to understand. Why AI companies are moving towards super apps Microsoft is not alone in pursuing this strategy. Across the technology industry, companies are trying to bring multiple AI tools into unified experiences rather than offering separate products for different tasks. The approach is similar to how messaging apps, productivity platforms and social media services evolved into larger ecosystems over time. A unified AI platform could allow users to search information, write documents, analyse data, generate code and manage workflows without constantly switching between applications. Reports have also suggested that OpenAI is exploring ways to create a more integrated experience across its own products. The growing AI competition The reported super app project highlights how competition in the AI sector is shifting. The focus is no longer only on building the most capable AI models. Companies are increasingly competing on user experience, integration and ease of use. Microsoft has invested billions of dollars into AI development and maintains a close partnership with OpenAI. The company has embedded AI features across Windows, Office, GitHub and enterprise software products. However, as the number of AI-powered services grows, simplifying the experience has become just as important as improving the technology itself. Microsoft has not officially announced the super app, and the company has not publicly confirmed details of the reported project. However, if the reports are accurate, the platform could be introduced later this year. For users, the biggest benefit would be simplicity. Instead of choosing between multiple Copilot products, they could access coding assistance, productivity tools, AI chat and workflow automation from a single destination. As AI becomes more deeply integrated into everyday work and personal computing, technology companies are increasingly looking for ways to make their growing ecosystems easier to use. Microsoft's reported "One Copilot" strategy appears to be a step in that direction.

<p>Microsoft is reportedly working on a new "super app" designed to bring its growing collection of artificial intelligence tools into a single platform.</p>

Microsoft reportedly building a super app to bring all its AI assistants together

<p>OpenAI’s latest artificial intelligence model has reportedly solved a mathematical problem that had remained unsolved for nearly 80 years, marking a development that experts say could signal a new era for AI-assisted scientific research.</p><p>According to researchers involved in the work, the AI-generated solution was independently reviewed by professional mathematicians, who concluded that the proof appears to be mathematically sound. The achievement has attracted attention beyond the technology sector, with experts describing it as a significant demonstration of artificial intelligence’s potential to contribute original insights rather than simply process existing information.</p><p>The problem concerned a longstanding question in combinatorics, a branch of mathematics focused on patterns, arrangements and structures. Researchers said the question had resisted solution for decades despite extensive work by mathematicians in the field.</p><p>OpenAI’s reasoning-focused model was tasked with exploring possible approaches to the problem. Researchers said the system eventually produced a proof that had not previously been identified by human experts. While the mathematical details are highly technical, specialists noted that the result addresses a question that has remained open since the mid-20th century.</p><p>Also read: <a href="https://www.wionews.com/technology/india-s-ai-boom-openai-reports-27-fold-growth-in-codex-users-1780209770246">‘India's AI boom’: OpenAI reports 27-fold growth in Codex users</a></p><p>Unlike conventional AI systems that primarily generate responses by predicting text, OpenAI’s latest reasoning models are designed to work through complex problems step by step. According to researchers, the model examined numerous mathematical possibilities, tested alternative approaches, rejected unsuccessful lines of reasoning and gradually constructed a logical argument leading to the final proof.</p><p>Experts said the process resembled the way human mathematicians approach difficult research questions, often exploring multiple pathways before arriving at a solution.</p><p>The significance of the breakthrough extends beyond the specific problem solved. Researchers and mathematicians noted that generating genuinely novel mathematical reasoning has long been regarded as one of the most difficult challenges in artificial intelligence.</p><p>The successful proof suggests that advanced reasoning models could become valuable tools for scientific discovery, helping researchers investigate complex questions and uncover new ideas across mathematics and other disciplines.</p><p>Also read: <a href="https://www.wionews.com/technology/cheaper-ai-models-could-help-businesses-save-billions-here-s-how-1780061896940">Cheaper AI models could help businesses save billions: Here’s how</a></p><p>However, experts stressed that the achievement does not mean artificial intelligence can replace mathematicians. Although the AI generated the proof, human researchers were required to verify the result, scrutinise the logic and confirm that the argument met established mathematical standards.</p>

OpenAI’s advanced AI model reportedly solved an 80-year-old combinatorics problem, producing a proof verified by mathematicians, highlighting AI’s growing potential to contribute original research alongside human scientific expertise.

OpenAI’s latest artificial intelligence model has reportedly solved a mathematical problem that had remained unsolved for nearly 80 years, marking a development that experts say could signal a new era for AI-assisted scientific research. According to researchers involved in the work, the AI-generated solution was independently reviewed by professional mathematicians, who concluded that the proof appears to be mathematically sound. The achievement has attracted attention beyond the technology sector, with experts describing it as a significant demonstration of artificial intelligence’s potential to contribute original insights rather than simply process existing information. The problem concerned a longstanding question in combinatorics, a branch of mathematics focused on patterns, arrangements and structures. Researchers said the question had resisted solution for decades despite extensive work by mathematicians in the field. OpenAI’s reasoning-focused model was tasked with exploring possible approaches to the problem. Researchers said the system eventually produced a proof that had not previously been identified by human experts. While the mathematical details are highly technical, specialists noted that the result addresses a question that has remained open since the mid-20th century. Also read: ‘India's AI boom’: OpenAI reports 27-fold growth in Codex users Unlike conventional AI systems that primarily generate responses by predicting text, OpenAI’s latest reasoning models are designed to work through complex problems step by step. According to researchers, the model examined numerous mathematical possibilities, tested alternative approaches, rejected unsuccessful lines of reasoning and gradually constructed a logical argument leading to the final proof. Experts said the process resembled the way human mathematicians approach difficult research questions, often exploring multiple pathways before arriving at a solution. The significance of the breakthrough extends beyond the specific problem solved. Researchers and mathematicians noted that generating genuinely novel mathematical reasoning has long been regarded as one of the most difficult challenges in artificial intelligence. The successful proof suggests that advanced reasoning models could become valuable tools for scientific discovery, helping researchers investigate complex questions and uncover new ideas across mathematics and other disciplines. Also read: Cheaper AI models could help businesses save billions: Here’s how However, experts stressed that the achievement does not mean artificial intelligence can replace mathematicians. Although the AI generated the proof, human researchers were required to verify the result, scrutinise the logic and confirm that the argument met established mathematical standards.

<p>OpenAI’s advanced AI model reportedly solved an 80-year-old combinatorics problem, producing a proof verified by mathematicians, highlighting AI’s growing potential to contribute original research alongside human scientific expertise.</p>

OpenAI’s AI model solves decades-old maths problem, proof verified by researchers

<p>India is emerging as one of the fastest-growing markets for OpenAI's AI-powered coding agent Codex, highlighting the country's expanding role in the global artificial intelligence ecosystem.</p><p>According to OpenAI, weekly active Codex users in India have increased 27 times since the beginning of 2026, while daily interactions with the platform have grown more than 20-fold. The company shared the figures during Mumbai Tech Week, pointing to growing demand for AI tools among developers, startups, students and businesses. The latest data suggests that India is no longer just a major consumer of digital technology but is increasingly becoming an important market for advanced AI adoption.</p><h2><strong>India enters OpenAI's top markets for Codex</strong></h2><p>OpenAI said India now ranks among its top five countries globally for Codex adoption. The country is also among the top ten markets worldwide for user engagement on the platform. The figures underline the speed at which AI tools are being integrated into daily work across sectors. Thomas Jeng, OpenAI's Head of Startups for Asia-Pacific, said the growth is not limited to software engineers.</p><p>"What’s exciting about India is that adoption is not just happening among software engineers. We’re seeing founders, operators, researchers, students and business teams increasingly use Codex to turn ideas into working outcomes faster," he said. According to OpenAI, India's strong developer ecosystem and growing startup culture are helping drive the rapid increase in usage.</p><h2><strong>Codex is now being used for more than coding</strong></h2><p>Although Codex was originally designed as an AI coding assistant, OpenAI says Indian users are increasingly using it for tasks beyond software development. The company revealed that more than 25 per cent of Codex requests from India are now related to non-coding activities.</p><p>These include:</p><p>Research and information gathering</p><p>Drafting documents and reports</p><p>Workflow automation</p><p>Communication management</p><p>Organising business processes</p><p>The shift reflects a broader trend across the AI industry, where users are increasingly treating AI tools as productivity assistants rather than specialised coding software. Industry experts say businesses are beginning to explore how AI can support a wide range of tasks across operations, marketing, research and administration.</p><h2><strong>India's developer ecosystem continues to stand out</strong></h2><p>OpenAI's latest findings build on data from its earlier OpenAI Signals report released in February. According to the company, coding-related usage of Codex in India was approximately three times higher than the global average. Coding queries from Indian users were also around three times the global median. These figures highlight India's position as one of the world's largest developer communities. The country produces hundreds of thousands of engineering graduates every year and has become a major hub for software development, technology services and startup innovation. OpenAI believes this foundation is helping accelerate the adoption of advanced AI tools such as Codex.</p><h2><strong>Startups and enterprises are driving adoption</strong></h2><p>Beyond individual users, businesses are also increasing their use of AI-powered software development tools. OpenAI said growing enterprise interest is contributing to Codex adoption across India. Companies are increasingly exploring AI systems to improve software development, automate repetitive work and increase productivity.</p><p>The company has previously announced collaborations involving Codex with major Indian firms including Tata Consultancy Services, Infosys and Razorpay. These partnerships focus on software engineering support, workflow automation and enterprise productivity applications.</p><h2><strong>What does this mean for India's AI future?</strong></h2><p>The rapid growth of Codex usage reflects a larger shift taking place across India's technology landscape. While developers remain an important user group, AI tools are increasingly being adopted by founders, students, researchers, business operators and professionals across different industries.</p><p>Many organisations are now viewing AI as a productivity tool that can help accelerate work, reduce repetitive tasks and support decision-making. OpenAI believes India's combination of technical talent, startup activity and digital adoption makes it one of the most important markets for future AI growth.</p>

India is emerging as one of the fastest-growing markets for OpenAI's AI-powered coding agent Codex, highlighting the country's expanding role in the global artificial intelligence ecosystem.


India is emerging as one of the fastest-growing markets for OpenAI's AI-powered coding agent Codex, highlighting the country's expanding role in the global artificial intelligence ecosystem. According to OpenAI, weekly active Codex users in India have increased 27 times since the beginning of 2026, while daily interactions with the platform have grown more than 20-fold. The company shared the figures during Mumbai Tech Week, pointing to growing demand for AI tools among developers, startups, students and businesses. The latest data suggests that India is no longer just a major consumer of digital technology but is increasingly becoming an important market for advanced AI adoption. India enters OpenAI's top markets for Codex OpenAI said India now ranks among its top five countries globally for Codex adoption. The country is also among the top ten markets worldwide for user engagement on the platform. The figures underline the speed at which AI tools are being integrated into daily work across sectors. Thomas Jeng, OpenAI's Head of Startups for Asia-Pacific, said the growth is not limited to software engineers. "What’s exciting about India is that adoption is not just happening among software engineers. We’re seeing founders, operators, researchers, students and business teams increasingly use Codex to turn ideas into working outcomes faster," he said. According to OpenAI, India's strong developer ecosystem and growing startup culture are helping drive the rapid increase in usage. Codex is now being used for more than coding Although Codex was originally designed as an AI coding assistant, OpenAI says Indian users are increasingly using it for tasks beyond software development. The company revealed that more than 25 per cent of Codex requests from India are now related to non-coding activities. These include: Research and information gathering Drafting documents and reports Workflow automation Communication management Organising business processes The shift reflects a broader trend across the AI industry, where users are increasingly treating AI tools as productivity assistants rather than specialised coding software. Industry experts say businesses are beginning to explore how AI can support a wide range of tasks across operations, marketing, research and administration. India's developer ecosystem continues to stand out OpenAI's latest findings build on data from its earlier OpenAI Signals report released in February. According to the company, coding-related usage of Codex in India was approximately three times higher than the global average. Coding queries from Indian users were also around three times the global median. These figures highlight India's position as one of the world's largest developer communities. The country produces hundreds of thousands of engineering graduates every year and has become a major hub for software development, technology services and startup innovation. OpenAI believes this foundation is helping accelerate the adoption of advanced AI tools such as Codex. Startups and enterprises are driving adoption Beyond individual users, businesses are also increasing their use of AI-powered software development tools. OpenAI said growing enterprise interest is contributing to Codex adoption across India. Companies are increasingly exploring AI systems to improve software development, automate repetitive work and increase productivity. The company has previously announced collaborations involving Codex with major Indian firms including Tata Consultancy Services, Infosys and Razorpay. These partnerships focus on software engineering support, workflow automation and enterprise productivity applications. What does this mean for India's AI future? The rapid growth of Codex usage reflects a larger shift taking place across India's technology landscape. While developers remain an important user group, AI tools are increasingly being adopted by founders, students, researchers, business operators and professionals across different industries. Many organisations are now viewing AI as a productivity tool that can help accelerate work, reduce repetitive tasks and support decision-making. OpenAI believes India's combination of technical talent, startup activity and digital adoption makes it one of the most important markets for future AI growth.

<p>India is emerging as one of the fastest-growing markets for OpenAI's AI-powered coding agent Codex, highlighting the country's expanding role in the global artificial intelligence ecosystem.</p>

‘India's AI boom’: OpenAI reports 27-fold growth in Codex users

<p>DuckDuckGo is seeing a rise in downloads and user activity as some internet users look for alternatives to Google's increasingly AI-powered search experience.</p><p>The privacy-focused search engine reported a sharp increase in app installs following Google's latest Search updates, which introduced expanded AI-generated summaries, conversational search tools and AI Mode. While Google says these features are designed to make searching faster and more useful, some users have expressed concerns about accuracy, website visibility and the growing role of artificial intelligence in search results. The trend highlights a wider debate about the future of online search and how much control users should have over AI-generated content.</p><h2><strong>Why are some users moving away from Google Search?</strong></h2><p>At its annual Google I/O developer conference, Google announced major upgrades to Search, placing artificial intelligence at the centre of the experience. The company expanded AI-generated overviews and introduced AI Mode, a feature that allows users to ask follow-up questions and hold conversations directly within Search.</p><p>Google argues that these tools help users find information more quickly without having to visit multiple websites. However, critics say AI-generated answers can sometimes contain inaccuracies and reduce traffic to publishers and content creators by keeping users within Google's ecosystem. Another concern raised by some users is the lack of a simple option to completely disable AI-generated results and return to a traditional search experience.</p><h2><strong>What do the latest numbers show?</strong></h2><p>According to DuckDuckGo, app installs in the United States increased significantly in the days following Google's latest announcements. The company said downloads rose by an average of 18.1 per cent week-on-week between May 20 and May 25. On May 25, installs reportedly peaked at 30.5 per cent above normal levels. DuckDuckGo also said iPhone downloads increased by an average of 33 per cent during the same period. Independent analytics firm Apptopia reported similar findings, estimating that DuckDuckGo's average daily downloads in the US rose by approximately 29 per cent after Google's AI Search updates gained wider attention.</p><p>While Google remains by far the dominant search engine globally, the figures suggest that a segment of users is actively exploring alternatives.</p><h2><strong>DuckDuckGo's AI-free approach</strong></h2><p>DuckDuckGo has positioned itself as an option for users who prefer more control over how artificial intelligence appears in search results. The company offers an AI-free search experience that removes AI-generated summaries and AI-created images from results pages. According to DuckDuckGo, traffic to this version of its search engine has increased in recent weeks. At the same time, the company is not completely opposed to AI technology. Through its Duck.ai platform, users can access AI-powered tools and chatbots. The key difference, according to DuckDuckGo, is that users can choose when and how they interact with artificial intelligence rather than having it automatically integrated into every search.</p><h2><strong>Privacy remains a major selling point</strong></h2><p>Privacy continues to be one of DuckDuckGo's biggest advantages in a competitive search market. The company says it does not collect users' search histories and does not use personal search data or AI conversations to train its systems. As concerns around data collection and AI training practices continue to grow, privacy-focused services have increasingly become attractive to users looking for alternatives to larger technology platforms. Industry analysts note that privacy, transparency and user choice are becoming more important factors in how people evaluate digital services.</p><h2><strong>The wider battle over AI-powered search</strong></h2><p>The latest developments reflect a broader shift taking place across the technology industry. Google, Microsoft, OpenAI and other companies are investing heavily in generative AI tools designed to transform how people find and consume information online. Supporters argue that AI search can save time by summarising information and providing direct answers. Critics, however, worry that AI-generated content could reduce traffic to publishers, spread inaccurate information and limit exposure to diverse sources.</p><p>The debate has become increasingly important as search engines evolve from simple directories of web pages into AI-powered assistants capable of generating their own responses.</p><p>Google is unlikely to slow its AI ambitions. The company continues to invest heavily in Gemini and AI-powered Search features, viewing artificial intelligence as the future of online information discovery. At the same time, DuckDuckGo's recent growth suggests there remains strong demand for traditional search experiences that prioritise web links, privacy and user choice. The coming months will reveal whether the recent increase in downloads represents a temporary reaction to Google's AI changes or a longer-term shift in how some users choose to search the web.</p>

The privacy-focused search engine reported a sharp increase in app installs following Google's latest Search updates, which introduced expanded AI-generated summaries, conversational search tools and AI Mode. 

DuckDuckGo is seeing a rise in downloads and user activity as some internet users look for alternatives to Google's increasingly AI-powered search experience. The privacy-focused search engine reported a sharp increase in app installs following Google's latest Search updates, which introduced expanded AI-generated summaries, conversational search tools and AI Mode. While Google says these features are designed to make searching faster and more useful, some users have expressed concerns about accuracy, website visibility and the growing role of artificial intelligence in search results. The trend highlights a wider debate about the future of online search and how much control users should have over AI-generated content. Why are some users moving away from Google Search? At its annual Google I/O developer conference, Google announced major upgrades to Search, placing artificial intelligence at the centre of the experience. The company expanded AI-generated overviews and introduced AI Mode, a feature that allows users to ask follow-up questions and hold conversations directly within Search. Google argues that these tools help users find information more quickly without having to visit multiple websites. However, critics say AI-generated answers can sometimes contain inaccuracies and reduce traffic to publishers and content creators by keeping users within Google's ecosystem. Another concern raised by some users is the lack of a simple option to completely disable AI-generated results and return to a traditional search experience. What do the latest numbers show? According to DuckDuckGo, app installs in the United States increased significantly in the days following Google's latest announcements. The company said downloads rose by an average of 18.1 per cent week-on-week between May 20 and May 25. On May 25, installs reportedly peaked at 30.5 per cent above normal levels. DuckDuckGo also said iPhone downloads increased by an average of 33 per cent during the same period. Independent analytics firm Apptopia reported similar findings, estimating that DuckDuckGo's average daily downloads in the US rose by approximately 29 per cent after Google's AI Search updates gained wider attention. While Google remains by far the dominant search engine globally, the figures suggest that a segment of users is actively exploring alternatives. DuckDuckGo's AI-free approach DuckDuckGo has positioned itself as an option for users who prefer more control over how artificial intelligence appears in search results. The company offers an AI-free search experience that removes AI-generated summaries and AI-created images from results pages. According to DuckDuckGo, traffic to this version of its search engine has increased in recent weeks. At the same time, the company is not completely opposed to AI technology. Through its Duck.ai platform, users can access AI-powered tools and chatbots. The key difference, according to DuckDuckGo, is that users can choose when and how they interact with artificial intelligence rather than having it automatically integrated into every search. Privacy remains a major selling point Privacy continues to be one of DuckDuckGo's biggest advantages in a competitive search market. The company says it does not collect users' search histories and does not use personal search data or AI conversations to train its systems. As concerns around data collection and AI training practices continue to grow, privacy-focused services have increasingly become attractive to users looking for alternatives to larger technology platforms. Industry analysts note that privacy, transparency and user choice are becoming more important factors in how people evaluate digital services. The wider battle over AI-powered search The latest developments reflect a broader shift taking place across the technology industry. Google, Microsoft, OpenAI and other companies are investing heavily in generative AI tools designed to transform how people find and consume information online. Supporters argue that AI search can save time by summarising information and providing direct answers. Critics, however, worry that AI-generated content could reduce traffic to publishers, spread inaccurate information and limit exposure to diverse sources. The debate has become increasingly important as search engines evolve from simple directories of web pages into AI-powered assistants capable of generating their own responses. Google is unlikely to slow its AI ambitions. The company continues to invest heavily in Gemini and AI-powered Search features, viewing artificial intelligence as the future of online information discovery. At the same time, DuckDuckGo's recent growth suggests there remains strong demand for traditional search experiences that prioritise web links, privacy and user choice. The coming months will reveal whether the recent increase in downloads represents a temporary reaction to Google's AI changes or a longer-term shift in how some users choose to search the web.

<p>The privacy-focused search engine reported a sharp increase in app installs following Google's latest Search updates, which introduced expanded AI-generated summaries, conversational search tools and AI Mode.&nbsp;</p>

Google AI Search backlash? DuckDuckGo installs jump as users seek alternatives to Google's latest Search updates

<p>Meta is reportedly working on a new artificial intelligence-powered wearable device that could take the form of a pendant worn around the neck. According to a report by The Information, the company plans to begin testing the device within the next year as it continues expanding its AI hardware strategy.</p><p>The reported project comes as major technology companies increasingly explore AI-powered devices beyond smartphones and computers. Meta has already invested heavily in smart glasses and virtual reality products, and the new pendant could become another part of its growing wearable ecosystem.</p><h2><strong>What is Meta's AI pendant?</strong></h2><p>According to reports, Meta's new device would function as an AI-powered pendant that users could wear around their neck or attach to clothing. While full details have not been revealed, the wearable is expected to build on technology developed by Limitless, an AI startup acquired by Meta in late 2025.</p><p>Before the acquisition, Limitless developed a wearable pendant capable of recording conversations, creating summaries and helping users recall information from meetings and daily interactions. Following the acquisition, Meta said the deal would help accelerate its efforts to develop AI-enabled wearable technology. Industry observers believe Meta could integrate its AI assistant into the device, allowing users to interact with artificial intelligence throughout the day without needing to use a smartphone.</p><h2><strong>Why is Meta investing in AI wearables?</strong></h2><p>The move reflects a broader trend across the technology industry.</p><p>Companies are increasingly exploring devices that allow users to access AI more naturally throughout the day. Instead of opening an app or typing a question, wearable devices can provide hands-free access to AI assistants.</p><p>Meta CEO Mark Zuckerberg has repeatedly argued that wearable devices could become one of the most important ways people interact with artificial intelligence in the future. The company has already found success with its smart glasses developed in partnership with EssilorLuxottica, which combine cameras, audio features and AI-powered assistance. An AI pendant would represent another step towards making AI available throughout the day in a less intrusive form.</p><h2><strong>Why have AI wearables struggled in the past?</strong></h2><p>Despite growing interest in artificial intelligence, many dedicated AI wearable devices have struggled to gain widespread adoption. Several products launched over the past few years faced challenges related to privacy concerns, battery life, limited functionality and unclear consumer demand. Some users questioned whether wearable devices that continuously listen to conversations or collect information could create privacy risks. Others found that early AI devices did not offer enough practical benefits compared with smartphones. These challenges have led some technology companies to rethink how AI hardware should be designed and marketed. Meta appears to be betting that advances in AI models and wearable technology could make a new generation of devices more useful.</p><h2><strong>Meta's broader wearable strategy</strong></h2><p>The reported pendant project is only one part of Meta's expanding hardware plans. According to the report, the company is also working to expand its smart glasses lineup and is considering a subscription service called "Wearables for Work", aimed at business users. The strategy suggests Meta sees wearable technology as a major growth opportunity, particularly as artificial intelligence becomes more integrated into daily life. The company has invested billions of dollars in hardware development through its Reality Labs division, which oversees products related to virtual reality, augmented reality and wearable technology.</p><h2><strong>Can AI wearables help Reality Labs?</strong></h2><p><br>The success of future wearable products could be important for Meta's hardware business. Reality Labs has continued to face financial pressure despite ongoing investment. According to company disclosures, the division reported a loss of around $4 billion during the first quarter of the year. Meta has argued that these investments are necessary to build the next generation of computing platforms, including AI-powered devices and augmented reality products. Analysts say wearable devices could eventually become a key revenue source if consumers embrace AI assistants that work seamlessly throughout the day.</p>

Meta is reportedly working on a new artificial intelligence-powered wearable device that could take the form of a pendant worn around the neck. 


Meta is reportedly working on a new artificial intelligence-powered wearable device that could take the form of a pendant worn around the neck. According to a report by The Information, the company plans to begin testing the device within the next year as it continues expanding its AI hardware strategy. The reported project comes as major technology companies increasingly explore AI-powered devices beyond smartphones and computers. Meta has already invested heavily in smart glasses and virtual reality products, and the new pendant could become another part of its growing wearable ecosystem. What is Meta's AI pendant? According to reports, Meta's new device would function as an AI-powered pendant that users could wear around their neck or attach to clothing. While full details have not been revealed, the wearable is expected to build on technology developed by Limitless, an AI startup acquired by Meta in late 2025. Before the acquisition, Limitless developed a wearable pendant capable of recording conversations, creating summaries and helping users recall information from meetings and daily interactions. Following the acquisition, Meta said the deal would help accelerate its efforts to develop AI-enabled wearable technology. Industry observers believe Meta could integrate its AI assistant into the device, allowing users to interact with artificial intelligence throughout the day without needing to use a smartphone. Why is Meta investing in AI wearables? The move reflects a broader trend across the technology industry. Companies are increasingly exploring devices that allow users to access AI more naturally throughout the day. Instead of opening an app or typing a question, wearable devices can provide hands-free access to AI assistants. Meta CEO Mark Zuckerberg has repeatedly argued that wearable devices could become one of the most important ways people interact with artificial intelligence in the future. The company has already found success with its smart glasses developed in partnership with EssilorLuxottica, which combine cameras, audio features and AI-powered assistance. An AI pendant would represent another step towards making AI available throughout the day in a less intrusive form. Why have AI wearables struggled in the past? Despite growing interest in artificial intelligence, many dedicated AI wearable devices have struggled to gain widespread adoption. Several products launched over the past few years faced challenges related to privacy concerns, battery life, limited functionality and unclear consumer demand. Some users questioned whether wearable devices that continuously listen to conversations or collect information could create privacy risks. Others found that early AI devices did not offer enough practical benefits compared with smartphones. These challenges have led some technology companies to rethink how AI hardware should be designed and marketed. Meta appears to be betting that advances in AI models and wearable technology could make a new generation of devices more useful. Meta's broader wearable strategy The reported pendant project is only one part of Meta's expanding hardware plans. According to the report, the company is also working to expand its smart glasses lineup and is considering a subscription service called "Wearables for Work", aimed at business users. The strategy suggests Meta sees wearable technology as a major growth opportunity, particularly as artificial intelligence becomes more integrated into daily life. The company has invested billions of dollars in hardware development through its Reality Labs division, which oversees products related to virtual reality, augmented reality and wearable technology. Can AI wearables help Reality Labs? The success of future wearable products could be important for Meta's hardware business. Reality Labs has continued to face financial pressure despite ongoing investment. According to company disclosures, the division reported a loss of around $4 billion during the first quarter of the year. Meta has argued that these investments are necessary to build the next generation of computing platforms, including AI-powered devices and augmented reality products. Analysts say wearable devices could eventually become a key revenue source if consumers embrace AI assistants that work seamlessly throughout the day.

<p>Meta is reportedly working on a new artificial intelligence-powered wearable device that could take the form of a pendant worn around the neck.&nbsp;</p>

After AI glasses, Meta is reportedly developing an AI pendant: What it is and how it could work

Humanoid robots joined human models on a Seoul runway, wearing matching designer outfits in a futuristic fashion show exploring how humans and AI-powered machines could coexist in everyday life.

‘Robots need clothes too’: Humanoids join human models at Seoul fashion show

<p>New data from Texas has offered one of the clearest pictures yet of the self-driving vehicle industry in the United States. The figures show that Waymo, Alphabet's autonomous driving company, currently has a much larger fleet of registered autonomous vehicles than its competitors, including Tesla.</p><p>According to data published through a new tracking platform created by the Texas Department of Motor Vehicles (DMV), Waymo has registered 577 autonomous vehicles in the state. That is significantly higher than other companies operating in the sector and highlights the company's growing presence in the commercial robotaxi market.</p><p>The data became available after a new Texas law came into effect on May 28, requiring autonomous vehicle companies to register their fleets and provide safety-related information to regulators.</p><h2><strong>What does the new Texas data reveal?</strong></h2><p>The Texas DMV's autonomous vehicle tracker provides the public with a detailed look at how many self-driving vehicles companies have registered in the state. According to the latest figures, Waymo leads the industry with 577 registered autonomous vehicles. It is followed by Avride with 317 vehicles and Nuro with 47. Tesla, which has been expanding its robotaxi operations in Texas, has registered 42 autonomous vehicles. Other operators include Volkswagen-owned MOIA, which has registered 12 autonomous electric microbuses. The new database is important because it offers one of the first transparent and publicly accessible views of the self-driving vehicle market in Texas, one of the most active regions for autonomous vehicle testing and deployment in the United States.</p><h2><strong>Waymo ahead of competitors?</strong></h2><p>Waymo's lead reflects years of investment in autonomous driving technology and commercial deployment. The company launched its commercial robotaxi service in Austin in March 2025 and has since expanded operations into Dallas, Houston and San Antonio. Unlike some competitors that remain focused on testing, Waymo already operates commercial ride-hailing services in multiple cities.</p><p>Industry analysts note that fleet size alone does not tell the full story. Some registered vehicles may not be operating daily, while certain companies are still testing technology rather than serving paying customers. However, the numbers clearly show that Waymo currently has one of the largest autonomous vehicle deployments in Texas.</p><h2><strong>Where does Tesla stand in the robotaxi race?</strong></h2><p>Tesla remains one of the most closely watched companies in autonomous driving due to CEO Elon Musk's long-term vision for self-driving transportation. The company launched its robotaxi service in Austin and later expanded into Dallas and Houston. However, the latest registration data shows Tesla's fleet remains much smaller than Waymo's in Texas. With 42 registered autonomous vehicles, Tesla trails both Waymo and Avride. Analysts say Tesla's approach differs from many competitors because it relies heavily on camera-based systems and artificial intelligence rather than the combination of cameras, radar and lidar sensors commonly used by companies such as Waymo. Investors and industry observers continue to monitor whether Tesla can rapidly scale its autonomous operations in the coming years.</p><h2><strong>Self-driving trucks are also expanding</strong></h2><p>The Texas database also highlights growing activity in autonomous trucking. According to the registration data, Aurora has 91 self-driving trucks operating in Texas, making it one of the largest autonomous trucking fleets in the state. Other companies include Gatik AI with 64 vehicles, Kodiak AI with 33 trucks and Waabi with 13 autonomous trucks. The trucking sector is increasingly viewed as one of the most promising commercial applications of autonomous technology because it operates on predictable routes and can help address driver shortages in the logistics industry.</p><h2><strong>Why Texas has become a key autonomous vehicle market&nbsp;</strong></h2><p><br>Texas has emerged as one of the leading locations for autonomous vehicle development in the United States. The state offers a combination of supportive regulations, large urban areas, extensive road networks and favourable weather conditions for testing and deployment. Many technology companies see Texas as an ideal environment for launching commercial autonomous services before expanding to other regions. The introduction of mandatory registration requirements is also expected to improve transparency and provide regulators and the public with better information about the industry's growth. The latest figures show that Waymo currently holds a significant lead in Texas' autonomous vehicle market. While competitors such as Tesla, Avride and Nuro continue to expand their operations, Waymo's larger fleet gives it a strong position in the commercial robotaxi sector. At the same time, autonomous trucking companies are also increasing their presence, signalling that self-driving technology is moving beyond passenger transport into freight and logistics. As more companies deploy autonomous vehicles across Texas and other US states, the new registration data is likely to become an important measure of growth, competition and adoption across the industry.</p>

New data from Texas has offered one of the clearest pictures yet of the self-driving vehicle industry in the United States. The figures show that Waymo currently has a much larger fleet of registered autonomous vehicles than its competitors, including Tesla.

New data from Texas has offered one of the clearest pictures yet of the self-driving vehicle industry in the United States. The figures show that Waymo, Alphabet's autonomous driving company, currently has a much larger fleet of registered autonomous vehicles than its competitors, including Tesla. According to data published through a new tracking platform created by the Texas Department of Motor Vehicles (DMV), Waymo has registered 577 autonomous vehicles in the state. That is significantly higher than other companies operating in the sector and highlights the company's growing presence in the commercial robotaxi market. The data became available after a new Texas law came into effect on May 28, requiring autonomous vehicle companies to register their fleets and provide safety-related information to regulators. What does the new Texas data reveal? The Texas DMV's autonomous vehicle tracker provides the public with a detailed look at how many self-driving vehicles companies have registered in the state. According to the latest figures, Waymo leads the industry with 577 registered autonomous vehicles. It is followed by Avride with 317 vehicles and Nuro with 47. Tesla, which has been expanding its robotaxi operations in Texas, has registered 42 autonomous vehicles. Other operators include Volkswagen-owned MOIA, which has registered 12 autonomous electric microbuses. The new database is important because it offers one of the first transparent and publicly accessible views of the self-driving vehicle market in Texas, one of the most active regions for autonomous vehicle testing and deployment in the United States. Waymo ahead of competitors? Waymo's lead reflects years of investment in autonomous driving technology and commercial deployment. The company launched its commercial robotaxi service in Austin in March 2025 and has since expanded operations into Dallas, Houston and San Antonio. Unlike some competitors that remain focused on testing, Waymo already operates commercial ride-hailing services in multiple cities. Industry analysts note that fleet size alone does not tell the full story. Some registered vehicles may not be operating daily, while certain companies are still testing technology rather than serving paying customers. However, the numbers clearly show that Waymo currently has one of the largest autonomous vehicle deployments in Texas. Where does Tesla stand in the robotaxi race? Tesla remains one of the most closely watched companies in autonomous driving due to CEO Elon Musk's long-term vision for self-driving transportation. The company launched its robotaxi service in Austin and later expanded into Dallas and Houston. However, the latest registration data shows Tesla's fleet remains much smaller than Waymo's in Texas. With 42 registered autonomous vehicles, Tesla trails both Waymo and Avride. Analysts say Tesla's approach differs from many competitors because it relies heavily on camera-based systems and artificial intelligence rather than the combination of cameras, radar and lidar sensors commonly used by companies such as Waymo. Investors and industry observers continue to monitor whether Tesla can rapidly scale its autonomous operations in the coming years. Self-driving trucks are also expanding The Texas database also highlights growing activity in autonomous trucking. According to the registration data, Aurora has 91 self-driving trucks operating in Texas, making it one of the largest autonomous trucking fleets in the state. Other companies include Gatik AI with 64 vehicles, Kodiak AI with 33 trucks and Waabi with 13 autonomous trucks. The trucking sector is increasingly viewed as one of the most promising commercial applications of autonomous technology because it operates on predictable routes and can help address driver shortages in the logistics industry. Why Texas has become a key autonomous vehicle market Texas has emerged as one of the leading locations for autonomous vehicle development in the United States. The state offers a combination of supportive regulations, large urban areas, extensive road networks and favourable weather conditions for testing and deployment. Many technology companies see Texas as an ideal environment for launching commercial autonomous services before expanding to other regions. The introduction of mandatory registration requirements is also expected to improve transparency and provide regulators and the public with better information about the industry's growth. The latest figures show that Waymo currently holds a significant lead in Texas' autonomous vehicle market. While competitors such as Tesla, Avride and Nuro continue to expand their operations, Waymo's larger fleet gives it a strong position in the commercial robotaxi sector. At the same time, autonomous trucking companies are also increasing their presence, signalling that self-driving technology is moving beyond passenger transport into freight and logistics. As more companies deploy autonomous vehicles across Texas and other US states, the new registration data is likely to become an important measure of growth, competition and adoption across the industry.

<p>New data from Texas has offered one of the clearest pictures yet of the self-driving vehicle industry in the United States. The figures show that Waymo currently has a much larger fleet of registered autonomous vehicles than its competitors, including Tesla.</p>

Waymo far ahead of Tesla in Texas robotaxi market, registration data shows

<p>As the artificial intelligence race intensifies, most technology companies are focused on building larger and more powerful AI models. Google, however, is increasingly highlighting a different advantage lower costs.</p><p>The company is promoting its Gemini 3.5 Flash model as a more affordable option for businesses that want AI capabilities without the high costs associated with some of the industry's most advanced systems. The move comes as organisations around the world face growing AI bills driven by rising usage and increasing demand for computing power.</p><h2><strong>Why is Google focusing on AI costs?</strong></h2><p>According to a report by Business Insider, Google believes many companies are spending far more than expected on artificial intelligence services. Google CEO Sundar Pichai recently said that businesses are rapidly consuming their annual AI budgets as usage expands across departments and workflows. He argued that organisations do not always need the most powerful AI model for every task and can significantly reduce costs by using a combination of models based on specific needs.</p><p>Pichai said that if major Google Cloud customers shifted around 80 per cent of their AI workloads to a mix of Gemini 3.5 Flash and other AI models, they could collectively save more than $1 billion annually.</p><p>The comments reflect a growing conversation within the technology industry about the long-term economics of artificial intelligence.</p><h2><strong>What is Gemini 3.5 Flash?</strong></h2><p>Gemini 3.5 Flash is Google's lower-cost AI model designed for speed and efficiency. While it may not offer all the capabilities of the company's most advanced frontier models, it is built to handle many everyday AI tasks at a lower operating cost. Businesses often use AI for customer support, content generation, document analysis, coding assistance and internal workflows. For many of these tasks, companies may not require the most expensive model available.</p><p>Google's strategy is based on the idea that businesses can reserve premium AI models for highly complex work while using more efficient systems such as Gemini Flash for routine operations. Industry analysts say this approach is similar to how cloud computing evolved, where companies balance performance and cost depending on the workload.</p><h2><strong>Why AI costs are becoming a major concern</strong></h2><p>The rapid growth of artificial intelligence has increased demand for expensive computing infrastructure. Running advanced AI systems requires large data centres, specialised chips, electricity and networking resources.</p><p>As companies deploy AI across more departments, costs can quickly rise. Several technology firms have recently acknowledged the challenge. Microsoft has spoken about the growing expense of AI infrastructure, while Amazon has reportedly reviewed internal AI usage practices as adoption accelerated across teams.</p><p>Many organisations are now looking beyond AI performance alone and focusing on return on investment, efficiency and cost management.</p><h2><strong>Google's infrastructure advantage</strong></h2><p>One reason Google believes it can compete effectively on AI pricing is its control over much of the technology stack.</p><p>Unlike some competitors, Google owns and operates:</p><p>Its own AI models</p><p>Large-scale cloud infrastructure</p><p>Data centres</p><p>Custom AI chips</p><p>Global networking systems</p><p>This level of integration allows the company to optimise costs across multiple layers of its AI business. Analysts say this could become an important advantage as businesses increasingly compare not only model performance but also overall operating expenses.</p><h2><strong>A new phase in the AI race</strong></h2><p>For much of the past two years, AI companies have competed primarily on model capability. The focus was often on benchmarks, reasoning ability, coding performance and multimodal features. However, industry experts believe the next stage of competition could be centred on efficiency.</p><p>As AI adoption grows, companies may increasingly ask questions such as:</p><p>How much does the model cost to run?<br>Can it deliver acceptable results at lower prices?<br>What is the return on investment?<br>How can businesses control rising AI spending?<br>Google appears to be positioning Gemini 3.5 Flash around these concerns.<br>The artificial intelligence market is entering a phase where performance alone may not determine success. While companies such as OpenAI, Anthropic, Meta and Google continue building increasingly capable models, businesses are paying closer attention to the financial impact of AI adoption.Google's latest strategy suggests that affordability and efficiency could become just as important as raw computing power. As AI usage continues to expand across industries, the companies that help customers balance performance and cost may gain an advantage in the next stage of the global AI race.</p>

As the artificial intelligence race intensifies, most technology companies are focused on building larger and more powerful AI models. Google, however, is increasingly highlighting a different advantage lower costs.


As the artificial intelligence race intensifies, most technology companies are focused on building larger and more powerful AI models. Google, however, is increasingly highlighting a different advantage lower costs. The company is promoting its Gemini 3.5 Flash model as a more affordable option for businesses that want AI capabilities without the high costs associated with some of the industry's most advanced systems. The move comes as organisations around the world face growing AI bills driven by rising usage and increasing demand for computing power. Why is Google focusing on AI costs? According to a report by Business Insider, Google believes many companies are spending far more than expected on artificial intelligence services. Google CEO Sundar Pichai recently said that businesses are rapidly consuming their annual AI budgets as usage expands across departments and workflows. He argued that organisations do not always need the most powerful AI model for every task and can significantly reduce costs by using a combination of models based on specific needs. Pichai said that if major Google Cloud customers shifted around 80 per cent of their AI workloads to a mix of Gemini 3.5 Flash and other AI models, they could collectively save more than $1 billion annually. The comments reflect a growing conversation within the technology industry about the long-term economics of artificial intelligence. What is Gemini 3.5 Flash? Gemini 3.5 Flash is Google's lower-cost AI model designed for speed and efficiency. While it may not offer all the capabilities of the company's most advanced frontier models, it is built to handle many everyday AI tasks at a lower operating cost. Businesses often use AI for customer support, content generation, document analysis, coding assistance and internal workflows. For many of these tasks, companies may not require the most expensive model available. Google's strategy is based on the idea that businesses can reserve premium AI models for highly complex work while using more efficient systems such as Gemini Flash for routine operations. Industry analysts say this approach is similar to how cloud computing evolved, where companies balance performance and cost depending on the workload. Why AI costs are becoming a major concern The rapid growth of artificial intelligence has increased demand for expensive computing infrastructure. Running advanced AI systems requires large data centres, specialised chips, electricity and networking resources. As companies deploy AI across more departments, costs can quickly rise. Several technology firms have recently acknowledged the challenge. Microsoft has spoken about the growing expense of AI infrastructure, while Amazon has reportedly reviewed internal AI usage practices as adoption accelerated across teams. Many organisations are now looking beyond AI performance alone and focusing on return on investment, efficiency and cost management. Google's infrastructure advantage One reason Google believes it can compete effectively on AI pricing is its control over much of the technology stack. Unlike some competitors, Google owns and operates: Its own AI models Large-scale cloud infrastructure Data centres Custom AI chips Global networking systems This level of integration allows the company to optimise costs across multiple layers of its AI business. Analysts say this could become an important advantage as businesses increasingly compare not only model performance but also overall operating expenses. A new phase in the AI race For much of the past two years, AI companies have competed primarily on model capability. The focus was often on benchmarks, reasoning ability, coding performance and multimodal features. However, industry experts believe the next stage of competition could be centred on efficiency. As AI adoption grows, companies may increasingly ask questions such as: How much does the model cost to run? Can it deliver acceptable results at lower prices? What is the return on investment? How can businesses control rising AI spending? Google appears to be positioning Gemini 3.5 Flash around these concerns. The artificial intelligence market is entering a phase where performance alone may not determine success. While companies such as OpenAI, Anthropic, Meta and Google continue building increasingly capable models, businesses are paying closer attention to the financial impact of AI adoption.Google's latest strategy suggests that affordability and efficiency could become just as important as raw computing power. As AI usage continues to expand across industries, the companies that help customers balance performance and cost may gain an advantage in the next stage of the global AI race.

<p>As the artificial intelligence race intensifies, most technology companies are focused on building larger and more powerful AI models. Google, however, is increasingly highlighting a different advantage lower costs.</p>

Cheaper AI models could help businesses save billions: Here’s how

<p>Elon Musk has praised Anthropic's newly launched Claude Opus 4.8, drawing attention to one of the latest developments in the fast-moving artificial intelligence industry. The Tesla, SpaceX and xAI chief reacted to the launch on X after Anthropic unveiled the newest version of its flagship AI model, which focuses on stronger reasoning abilities and improved accuracy.</p><p>Musk's comments are notable because Anthropic is one of OpenAI's biggest competitors and is also competing with companies including Google, Meta and Musk's own AI venture, xAI. As the global AI race intensifies, industry leaders are increasingly paying close attention to breakthroughs from rival companies.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Nice work</p>&mdash; Elon Musk (@elonmusk) <a href="https://x.com/elonmusk/status/2060049585041785239?ref_src=twsrc%5Etfw">May 28, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>What is Claude Opus 4.8?</strong></h2><p>Claude Opus 4.8 is Anthropic's most advanced publicly available AI model. It was released just 41 days after Claude Opus 4.7, making it one of the company's fastest upgrades so far. According to Anthropic, the biggest improvement in Opus 4.8 is its ability to recognise uncertainty. Rather than confidently producing an answer when information is incomplete, the model is designed to acknowledge when it is unsure and flag potential problems in its reasoning.</p><p>Anthropic says this approach helps reduce AI hallucinations, a term used when chatbots generate information that sounds convincing but is incorrect. The company noted that early testing showed Opus 4.8 was more likely to identify flaws in data, assumptions and analysis before providing conclusions.</p><h2><strong>Why is Anthropic focusing on 'self-honesty'?</strong></h2><p>One of the main features highlighted by Anthropic is what it calls improved "self-honesty".</p><p>In simple terms, the model is trained to recognise the limits of its knowledge. Instead of giving a potentially inaccurate answer, it can indicate uncertainty or request additional information. This is becoming an important area of focus across the AI industry. While many AI systems can generate human-like responses, businesses and researchers increasingly want models that are reliable enough for professional work, coding, finance, research and decision-making.</p><p>Bridgewater Associates, one of the organisations that tested Opus 4.8, said the model was better at identifying issues in both inputs and outputs that other AI systems often missed.</p><p>Coding and complex tasks also receive upgrades<br>Anthropic has also expanded the model's coding capabilities.</p><p>Alongside Opus 4.8, the company introduced a new research-preview feature called Dynamic Workflows. The system allows Claude to coordinate hundreds of specialised AI agents working on different parts of the same task.</p><p>According to Anthropic, this enables large-scale software development projects, code migrations and testing processes to be completed more efficiently. The company says Claude can now handle projects involving hundreds of thousands of lines of code with less human intervention. Coding has become one of the most competitive areas in artificial intelligence, with Anthropic, OpenAI, Google and several other companies investing heavily in developer-focused tools.</p><p>Musk's endorsement has attracted attention because he is not only a prominent technology entrepreneur but also the founder of a competing AI company. His positive reaction suggests that Anthropic's latest improvements have gained recognition beyond the company's own user base.</p><p>The AI industry is currently witnessing intense competition among major players. Companies are racing to build systems that are more capable, reliable and useful for businesses and consumers.</p><p>While benchmark scores remain important, many experts now believe the next stage of AI development will focus on trustworthiness, transparency and reducing mistakes rather than simply increasing raw performance.</p><h2><strong>Anthropic's growing position in the AI market</strong></h2><p>Founded by former OpenAI researchers, Anthropic has emerged as one of the strongest challengers in the artificial intelligence sector. The company is backed by major technology investors and has positioned its Claude family of models as AI systems focused on safety, reliability and responsible deployment. Anthropic has also attracted attention through Project Glasswing and its advanced cybersecurity-focused Mythos model. During testing, the company claimed Mythos helped identify thousands of software vulnerabilities across major systems. Recently, Anthropic announced that Mythos-class models could become available to a broader group of users in the coming weeks once additional safeguards are completed.</p><p>The launch of Claude Opus 4.8 highlights how quickly the AI industry is evolving. Companies are now competing not only on performance but also on reliability, coding ability and the capacity to handle increasingly complex tasks. With OpenAI, Google, Meta, Anthropic and xAI all releasing new products and upgrades, the competition for AI leadership is expected to intensify in the months ahead. For users, Anthropic's latest release signals a growing focus on AI systems that are not only powerful but also better at recognising their own limitations an area many experts see as essential for the future of artificial intelligence.</p><p>&nbsp;</p>

Elon Musk has praised Anthropic's newly launched Claude Opus 4.8, drawing attention to one of the latest developments in the fast-moving artificial intelligence industry. 

Elon Musk has praised Anthropic's newly launched Claude Opus 4.8, drawing attention to one of the latest developments in the fast-moving artificial intelligence industry. The Tesla, SpaceX and xAI chief reacted to the launch on X after Anthropic unveiled the newest version of its flagship AI model, which focuses on stronger reasoning abilities and improved accuracy. Musk's comments are notable because Anthropic is one of OpenAI's biggest competitors and is also competing with companies including Google, Meta and Musk's own AI venture, xAI. As the global AI race intensifies, industry leaders are increasingly paying close attention to breakthroughs from rival companies.

<p>Elon Musk has praised Anthropic's newly launched Claude Opus 4.8, drawing attention to one of the latest developments in the fast-moving artificial intelligence industry.&nbsp;</p>

Elon Musk praises Anthropic's Claude Opus 4.8: What makes the AI model stand out?

<p>Bitcoin fell below $73,000 this week and touched its lowest level since April before recovering slightly. The decline followed stronger-than-expected US inflation data, which led investors to reassess expectations around interest rate cuts and triggered a broader shift in market sentiment.</p><p>The world's largest cryptocurrency dropped to around $72,782 before moving back above the $73,000 mark. While Bitcoin remains one of the largest financial assets globally, analysts say a combination of higher bond yields, a stronger US dollar and growing enthusiasm for artificial intelligence stocks has created a challenging environment for risk assets.</p><figure class="image"><img src="https://resource.tradingkey.com/uploads/20260529/Crypto-marketcap-top10-49b20d0f11a84ff9852769da32fbf896.png" alt="Crypto-marketcap-top10-49b20d0f11a84ff9852769da32fbf896"></figure>

<h2><strong>Why did Bitcoin fall?</strong></h2><p>The latest market move came after fresh US inflation data showed that price pressures remain elevated. Investors closely watched the Personal Consumption Expenditures (PCE) index, one of the inflation measures monitored by the US Federal Reserve.</p><p>The stronger inflation reading reduced expectations that the Federal Reserve could cut interest rates in the near future. As a result, US Treasury yields moved higher and the US dollar strengthened. Higher interest rates generally make lower-risk investments such as government bonds more attractive. This can reduce demand for assets like cryptocurrencies, which do not generate income or interest.</p><p>Following the inflation data, the yield on the benchmark 10-year US Treasury bond climbed above 4.6 per cent, while the US Dollar Index strengthened, reflecting changing expectations around monetary policy.</p><h2><strong>Bitcoin ETFs also saw outflows</strong></h2><p>Another factor weighing on sentiment was investor activity in spot Bitcoin exchange-traded funds (ETFs). According to market data, several major Bitcoin ETFs recorded net outflows following the inflation report. Investors withdrew money from some of the largest funds, including products managed by BlackRock and Fidelity.</p><p>While ETF outflows do not necessarily indicate a long-term change in investor confidence, they can increase short-term market pressure when large amounts of capital leave crypto-related investment products within a short period.</p><h2><strong>AI stocks continue to dominate market attention</strong></h2><p>At the same time, artificial intelligence-related companies continue to attract strong investor interest. Over the past year, major technology companies associated with AI development have delivered strong market performance. Firms such as NVIDIA, Microsoft, Apple, Alphabet and TSMC have benefited from growing demand for AI infrastructure, data centres and advanced semiconductor technology. According to market data from CompaniesMarketCap, several AI-focused technology companies have seen their market values rise significantly as investors continue to bet on long-term growth in artificial intelligence.</p><p>Analysts note that while it is difficult to prove that money leaving Bitcoin is directly moving into AI stocks, both trends have occurred at the same time, highlighting where investor attention is currently focused.</p><h2><strong>What are investors watching now?</strong></h2><p>Market participants are closely monitoring three key factors.</p><p>The first is US interest rate policy. Any indication that inflation is easing could revive expectations of future rate cuts, potentially improving sentiment towards cryptocurrencies and other risk assets.</p><p>The second is continued performance in the AI sector. Technology companies remain some of the biggest beneficiaries of current investor enthusiasm, particularly firms involved in AI chips, cloud infrastructure and software.</p><p>The third is Bitcoin ETF flows. Strong inflows into ETFs helped support Bitcoin earlier in the year, and investors will be watching closely to see whether recent outflows prove temporary or become a longer-term trend.</p><h2><strong>Can AI stocks and Bitcoin rise together?</strong></h2><p>Many analysts believe the relationship between AI stocks and cryptocurrencies is not necessarily a zero-sum game. During periods of strong liquidity and economic growth, both sectors have historically attracted investor interest simultaneously. However, in an environment where investors are becoming more selective and interest rates remain elevated, capital often flows towards areas showing stronger earnings growth and business fundamentals. For now, AI remains one of the dominant investment themes in global markets, while Bitcoin continues to navigate a more uncertain environment shaped by inflation, interest rates and investor sentiment.</p><p>Bitcoin's latest decline highlights how closely cryptocurrency markets remain tied to broader economic conditions. While AI stocks continue to benefit from strong growth expectations, crypto investors are watching inflation data, central bank policy and ETF flows for signs of where markets may head next.</p>

Bitcoin dropped below $73,000 after US inflation came in stronger than expected, reducing hopes of near-term rate cuts. Higher bond yields and a stronger dollar added pressure, while some investors pulled money from Bitcoin ETFs. AI stocks stayed strong.


Bitcoin fell below $73,000 this week and touched its lowest level since April before recovering slightly. The decline followed stronger-than-expected US inflation data, which led investors to reassess expectations around interest rate cuts and triggered a broader shift in market sentiment. The world's largest cryptocurrency dropped to around $72,782 before moving back above the $73,000 mark. While Bitcoin remains one of the largest financial assets globally, analysts say a combination of higher bond yields, a stronger US dollar and growing enthusiasm for artificial intelligence stocks has created a challenging environment for risk assets.

<p>Bitcoin dropped below $73,000 after US inflation came in stronger than expected, reducing hopes of near-term rate cuts. Higher bond yields and a stronger dollar added pressure, while some investors pulled money from Bitcoin ETFs. AI stocks stayed strong.</p>

‘Bitcoin drops out of top 10 global assets’: How market sentiment is shifting toward AI stocks

<p>Anthropic has released Claude Opus 4.8, the latest version of its most advanced publicly available artificial intelligence model. The launch comes just 41 days after the company introduced Claude Opus 4.7, making it one of Anthropic's fastest major model upgrades to date.</p><p>The company said Opus 4.8 is available immediately across Claude platforms and APIs at the same pricing as the previous Opus release. The update arrives as competition in the AI industry continues to intensify, with recent launches from OpenAI and Google putting pressure on leading AI developers to improve their models at a faster pace.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.<br><br>Available today at the same price. <a href="https://t.co/EufxL7T1kb">pic.twitter.com/EufxL7T1kb</a></p>&mdash; Claude (@claudeai) <a href="https://x.com/claudeai/status/2060042702150930686?ref_src=twsrc%5Etfw">May 28, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>Why did Anthropic release a new model so quickly?</h2><p>One of the biggest questions surrounding the launch is the unusually short gap between versions.</p><p>Anthropic typically takes months between major model upgrades. Claude Sonnet and Claude Haiku, for example, are several months old. However, Opus 4.8 arrived only 41 days after Opus 4.7. Industry observers believe the accelerated release cycle may be linked to mixed reactions received by Opus 4.7. While the model performed strongly on many benchmarks, some users felt it did not deliver a significant improvement over previous versions.</p><p>The timing also comes shortly after major updates from rivals, including OpenAI's Codex platform and Google's Gemini Flash models, increasing competitive pressure across the AI sector.</p><h2><strong>What is new in Claude Opus 4.8?</strong></h2><p>According to Anthropic, one of the biggest improvements in Claude Opus 4.8 is how it handles uncertainty. The company says the model is more likely to acknowledge when information is incomplete or uncertain rather than confidently generating unsupported answers. This is an important issue across the AI industry, where large language models can sometimes produce incorrect information while presenting it as fact.</p><p>Early testers reported that Opus 4.8 was better at identifying problems in data, assumptions and analysis before generating conclusions. Investment firm Bridgewater Associates, one of the early testers, said the model proactively highlighted issues in both inputs and outputs that other AI systems often failed to detect. Anthropic believes this improvement could make the model more useful for professional tasks where accuracy and reliability are important.</p><h2><strong>How does Opus 4.8 perform in coding?</strong></h2><p>Coding remains one of the biggest areas of competition among AI companies, and Anthropic says Opus 4.8 delivers strong performance in software development tasks. The company released a new feature called Dynamic Workflows alongside the model. The system is currently available in research preview and is designed to help large AI models coordinate multiple specialised AI agents working on the same project.</p><p>According to Anthropic, Dynamic Workflows allows Claude to break large tasks into smaller parts and assign them across hundreds of parallel sub-agents. The company says this approach can help manage complex coding projects involving hundreds of thousands of lines of code. Anthropic claims Claude Code combined with Opus 4.8 can perform large-scale code migrations, testing and deployment tasks with significantly less human intervention.</p><h2><strong>How does it compare with ChatGPT and Gemini?</strong></h2><p>Anthropic says Opus 4.8 continues to deliver leading benchmark performance across reasoning, coding and analytical tasks. However, the company appears to be placing greater emphasis on reliability rather than simply pursuing higher benchmark scores.<br>Many AI experts believe the next phase of AI development will focus on reducing hallucinations, improving reasoning and increasing trustworthiness rather than only making models larger or faster.</p><p>The launch reflects that shift, with Anthropic highlighting the model's ability to identify uncertainty and challenge questionable assumptions.</p><figure class="image"><img src="https://pbs.twimg.com/media/HJa4OYgWwAAlfWX?format=png&amp;name=4096x4096" alt="Benchmark table showing how Claude Opus 4.8 compares to its predecessor and to other models on tests of coding, agentic skills, reasoning, and practical knowledge work tasks."></figure><h2><strong>What is happening with Mythos?</strong></h2><p>Another major takeaway from the announcement concerns Anthropic's highly discussed Mythos project. Mythos is a specialised AI system designed for cybersecurity applications. During testing, Anthropic claimed the model helped identify thousands of software vulnerabilities, including critical flaws affecting major systems.</p><p>Because of its advanced cyber capabilities, Mythos has remained restricted to selected partners through Project Glasswing, a programme involving companies such as Amazon Web Services, Apple, Cisco, CrowdStrike and Google. However, Anthropic now says it is making rapid progress on safeguards designed to prevent misuse. The company revealed that Mythos-class models are expected to become available to customers in the coming weeks, although it has not yet confirmed whether the public version will be identical to the current Mythos preview.</p><h2><strong>What does this mean for the AI industry?</strong></h2><p>The launch of Claude Opus 4.8 highlights how quickly the AI race is evolving. Companies are no longer competing only on raw performance. Increasing attention is now being placed on reliability, safety, coding automation and specialised capabilities such as cybersecurity. With Anthropic preparing to release Mythos-class systems, OpenAI expanding its coding products and Google continuing to upgrade Gemini, competition among major AI developers is likely to intensify in the months ahead.</p><p>For businesses and everyday users, the latest update suggests that future AI models may become not only more capable but also more transparent about what they know and what they do not.</p>

Anthropic has released Claude Opus 4.8, the latest version of its most advanced publicly available artificial intelligence model. The launch comes just 41 days after the company introduced Claude Opus 4.7, making it one of Anthropic's fastest major model upgrades to date.

Anthropic has released Claude Opus 4.8, the latest version of its most advanced publicly available artificial intelligence model. The launch comes just 41 days after the company introduced Claude Opus 4.7, making it one of Anthropic's fastest major model upgrades to date. The company said Opus 4.8 is available immediately across Claude platforms and APIs at the same pricing as the previous Opus release. The update arrives as competition in the AI industry continues to intensify, with recent launches from OpenAI and Google putting pressure on leading AI developers to improve their models at a faster pace.

<p>Anthropic has released Claude Opus 4.8, the latest version of its most advanced publicly available artificial intelligence model. The launch comes just 41 days after the company introduced Claude Opus 4.7, making it one of Anthropic's fastest major model upgrades to date.</p>

Anthropic launches Claude Opus 4.8 just 41 days after Opus 4.7: What’s changed and why it matters

<p>Google has unveiled a major expansion of its health and wellness ecosystem with the launch of the redesigned Google Health app, alongside a new AI-powered Health Coach and the Fitbit Air wearable.</p><p>The company described the launch as part of its next phase of health-focused products, aimed at helping people manage fitness, wellness and medical information from a single platform. The move comes as technology companies increasingly use artificial intelligence and connected devices to provide more personalised health services.</p><h2><strong>Google Health app brings health data into one place</strong></h2><p>One of the biggest challenges for users today is that health information is often spread across multiple apps, smartwatches, fitness trackers and medical records. Google says its new Health app is designed to solve that problem by bringing everything together in a central dashboard. The app allows users to connect data from smartwatches, fitness trackers, smart scales, wellness apps and wearable devices. In supported regions, users can also access medical records, laboratory reports and vital health information directly within the application.</p><p>According to Google, the platform works with Health Connect on Android devices and also integrates with Apple Health and other third-party services through Google Health APIs. This allows users to view their health information without constantly switching between different applications.</p><h2><strong>AI-powered Health Coach offers personalised insights</strong></h2><p>Alongside the Health app, Google introduced Google Health Coach, an artificial intelligence-powered assistant designed to provide personalised wellness recommendations. The system analyses connected health data and offers suggestions based on activity levels, sleep patterns, fitness goals and overall wellbeing. Google says the coach is intended to help users better understand their health habits and make informed decisions about lifestyle changes. The company believes AI can play an increasingly important role in preventive healthcare by helping users identify trends and potential areas for improvement before problems develop.</p><h2><strong>Fitbit Air strengthens Google's wearable ecosystem</strong></h2><p>Google also launched Fitbit Air, a new screen-free wearable designed for continuous health and fitness tracking. The device focuses on collecting health data while reducing distractions associated with traditional smartwatches. According to Google, Fitbit Air can track metrics such as heart rate, sleep patterns, blood oxygen levels, heart rate variability and daily activity. The wearable connects directly with the Google Health app, allowing users to view detailed insights and receive recommendations through the broader health ecosystem. The launch further strengthens Google's position in the growing wearable technology market, where health-focused devices have become one of the fastest-growing segments.</p><h2><strong>Privacy and data control&nbsp;</strong></h2><p>Google said privacy and user control are central parts of the new platform.</p><p>Users can choose what information they share, opt in or out of specific features, and export or delete their data whenever they want. The company also stated that health data collected through Google Health will not be used for advertising purposes. Additional features planned for future updates include support for sharing medical records through Smart Health Links, expanded integration with Apple Health and new AI-powered tools for exploring personal health information.</p><h2><strong>Growing competition in digital health</strong></h2><p>The launch comes as technology companies continue expanding their presence in healthcare and wellness. Firms including Apple, Samsung and Google are investing heavily in connected health services, wearable devices and AI-powered wellness tools. Industry analysts believe consumers increasingly want a single platform that combines fitness tracking, medical information and personalised recommendations. By bringing together wearables, AI coaching and health records, Google is positioning itself to play a larger role in the rapidly growing digital health market.</p><p>With the launch of Google Health, Google Health Coach and Fitbit Air, the company is building a more connected ecosystem around health and wellness. As users generate increasing amounts of health data through smartphones, wearables and medical services, platforms that can organise and interpret that information are expected to become an important part of the future healthcare experience.</p>

Google has unveiled a major expansion of its health and wellness ecosystem with the launch of the redesigned Google Health app, alongside a new AI-powered Health Coach and the Fitbit Air wearable.


Google has unveiled a major expansion of its health and wellness ecosystem with the launch of the redesigned Google Health app, alongside a new AI-powered Health Coach and the Fitbit Air wearable. The company described the launch as part of its next phase of health-focused products, aimed at helping people manage fitness, wellness and medical information from a single platform. The move comes as technology companies increasingly use artificial intelligence and connected devices to provide more personalised health services. Google Health app brings health data into one place One of the biggest challenges for users today is that health information is often spread across multiple apps, smartwatches, fitness trackers and medical records. Google says its new Health app is designed to solve that problem by bringing everything together in a central dashboard. The app allows users to connect data from smartwatches, fitness trackers, smart scales, wellness apps and wearable devices. In supported regions, users can also access medical records, laboratory reports and vital health information directly within the application. According to Google, the platform works with Health Connect on Android devices and also integrates with Apple Health and other third-party services through Google Health APIs. This allows users to view their health information without constantly switching between different applications. AI-powered Health Coach offers personalised insights Alongside the Health app, Google introduced Google Health Coach, an artificial intelligence-powered assistant designed to provide personalised wellness recommendations. The system analyses connected health data and offers suggestions based on activity levels, sleep patterns, fitness goals and overall wellbeing. Google says the coach is intended to help users better understand their health habits and make informed decisions about lifestyle changes. The company believes AI can play an increasingly important role in preventive healthcare by helping users identify trends and potential areas for improvement before problems develop. Fitbit Air strengthens Google's wearable ecosystem Google also launched Fitbit Air, a new screen-free wearable designed for continuous health and fitness tracking. The device focuses on collecting health data while reducing distractions associated with traditional smartwatches. According to Google, Fitbit Air can track metrics such as heart rate, sleep patterns, blood oxygen levels, heart rate variability and daily activity. The wearable connects directly with the Google Health app, allowing users to view detailed insights and receive recommendations through the broader health ecosystem. The launch further strengthens Google's position in the growing wearable technology market, where health-focused devices have become one of the fastest-growing segments. Privacy and data control Google said privacy and user control are central parts of the new platform. Users can choose what information they share, opt in or out of specific features, and export or delete their data whenever they want. The company also stated that health data collected through Google Health will not be used for advertising purposes. Additional features planned for future updates include support for sharing medical records through Smart Health Links, expanded integration with Apple Health and new AI-powered tools for exploring personal health information. Growing competition in digital health The launch comes as technology companies continue expanding their presence in healthcare and wellness. Firms including Apple, Samsung and Google are investing heavily in connected health services, wearable devices and AI-powered wellness tools. Industry analysts believe consumers increasingly want a single platform that combines fitness tracking, medical information and personalised recommendations. By bringing together wearables, AI coaching and health records, Google is positioning itself to play a larger role in the rapidly growing digital health market. With the launch of Google Health, Google Health Coach and Fitbit Air, the company is building a more connected ecosystem around health and wellness. As users generate increasing amounts of health data through smartphones, wearables and medical services, platforms that can organise and interpret that information are expected to become an important part of the future healthcare experience.

<p>Google has unveiled a major expansion of its health and wellness ecosystem with the launch of the redesigned Google Health app, alongside a new AI-powered Health Coach and the Fitbit Air wearable.</p>

How Google plans to simplify health tracking with its new Health ecosystem

<p>SpaceX CEO Elon Musk has clarified that the company's agreement to lease its Colossus AI computing infrastructure to Anthropic was initially designed as a short-term arrangement rather than a multi-year commitment.</p><p>The comments came days after SpaceX's IPO filing revealed details of its growing AI infrastructure business. While the filing indicated that both companies could terminate the agreement with a 90-day notice, Musk said the original lease was intended to last only 180 days, with the possibility of extension depending on future demand.</p><h2><strong>Why the Colossus deal matters</strong></h2><p>The agreement has attracted attention because computing power has become one of the most valuable resources in the artificial intelligence industry. Companies developing advanced AI models require enormous amounts of computing capacity to train and operate their systems. Anthropic, one of the leading AI firms behind the Claude family of models, has increasingly expanded its infrastructure needs as competition with OpenAI, Google and Meta intensifies.</p><p>According to Musk, the short-term structure was requested by SpaceX rather than Anthropic. He said the company wanted to maintain flexibility in case demand for computing power increased significantly in the future.</p><p>"We won't leave them hanging and will provide a reasonable off-ramp, but if compute gets super tight I said we might need it back at some point," Musk wrote on X.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">SpaceX has not committed to leasing Colossus for years, although it’s possible that may be what happens.<br><br>This is a 180 day lease with 90 day notice mutual cancellation thereafter. The short term was our request, not Anthropic’s. <br><br>We won’t leave them hanging and will provide a…</p>&mdash; Elon Musk (@elonmusk) <a href="https://x.com/elonmusk/status/2059880289514696927?ref_src=twsrc%5Etfw">May 28, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2><strong>Growing demand for AI computing power</strong></h2><p>The comments highlight a broader trend across the technology industry. As AI models become larger and more capable, companies are investing billions of dollars in data centres, advanced chips and computing infrastructure. Industry executives increasingly describe compute as the most important resource in AI development. Anthropic executives have previously stated that access to computing infrastructure is critical to the company's growth and model development plans.</p><p>This growing demand has created a new business opportunity for firms that own large-scale infrastructure. Instead of using all their computing capacity internally, some companies are beginning to lease excess resources to other AI developers.</p><h2><strong>SpaceX exploring AI infrastructure business</strong></h2><p>Musk recently indicated that SpaceX is discussing the possibility of offering AI compute services to additional customers. The approach could help the company generate revenue from infrastructure investments while demand for AI computing continues to rise worldwide.<br>However, Musk's latest comments suggest SpaceX does not want to lock itself into long-term commitments if its own AI requirements increase. The company appears to be balancing two objectives: supporting external customers while preserving enough capacity for future internal projects.</p><h2><strong>AI division remains in investment phase</strong></h2><p>According to SpaceX's IPO filing, the company's AI segment generated revenue of approximately $818 million during the March quarter. However, the division also recorded an operating loss of around $2.5 billion during the same period. The figures underline the significant costs associated with building and operating large AI infrastructure systems. Data centres, specialised AI chips and energy requirements have become major expenses for companies competing in the AI race. Analysts note that many firms are currently prioritising expansion and market share over short-term profitability as they race to secure leadership positions in artificial intelligence.</p><p>For now, Anthropic continues to have access to the Colossus infrastructure under the existing agreement. However, Musk's comments indicate that the future of the partnership could depend on broader market conditions and SpaceX's own computing requirements. The development also highlights a growing shift in the AI industry, where computing power is becoming a strategic asset comparable to oil, electricity or telecommunications infrastructure. As demand for AI services continues to rise, access to large-scale compute capacity may become one of the biggest competitive advantages in the technology sector</p>

Elon Musk has clarified that the company's agreement to lease its Colossus AI computing infrastructure to Anthropic was initially designed as a short-term arrangement rather than a multi-year commitment.


SpaceX CEO Elon Musk has clarified that the company's agreement to lease its Colossus AI computing infrastructure to Anthropic was initially designed as a short-term arrangement rather than a multi-year commitment. The comments came days after SpaceX's IPO filing revealed details of its growing AI infrastructure business. While the filing indicated that both companies could terminate the agreement with a 90-day notice, Musk said the original lease was intended to last only 180 days, with the possibility of extension depending on future demand. Why the Colossus deal matters The agreement has attracted attention because computing power has become one of the most valuable resources in the artificial intelligence industry. Companies developing advanced AI models require enormous amounts of computing capacity to train and operate their systems. Anthropic, one of the leading AI firms behind the Claude family of models, has increasingly expanded its infrastructure needs as competition with OpenAI, Google and Meta intensifies. According to Musk, the short-term structure was requested by SpaceX rather than Anthropic. He said the company wanted to maintain flexibility in case demand for computing power increased significantly in the future. "We won't leave them hanging and will provide a reasonable off-ramp, but if compute gets super tight I said we might need it back at some point," Musk wrote on X.

<p>Elon Musk has clarified that the company's agreement to lease its Colossus AI computing infrastructure to Anthropic was initially designed as a short-term arrangement rather than a multi-year commitment.</p>

Elon Musk says SpaceX agreed only six-month AI compute lease with Anthropic

<p>Blue Origin's New Glenn rocket exploded during a routine prelaunch hotfire test at Complex 36 at Cape Canaveral Space Force Station. In a statement on social media, Blue Origin acknowledged the explosion and said that there was no damage to its personnel. According to the Brevard County Emergency Management, the explosion poses no threat to the public. However, the explosion marked a significant dent to Blue Origin's ambition to challenge SpaceX in the commercial space Industry.&nbsp;</p><p>“It’s too early to know the root cause, but we’re already working to find it. Very rough day, but we’ll rebuild whatever needs rebuilding and get back to flying. It’s worth it,” said Jeff Bezos in a social media statement.&nbsp;</p><p><strong>Also Read: </strong><a href="https://www.wionews.com/world/jd-vance-surprise-chest-bump-air-force-academy-ai-joke-1780031027148"><strong>“I am the Vice President”: JD Vance jokes about AI heckling and shares viral chest bump at Air Force Academy graduation</strong></a></p>

<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">This angle is even crazier <a href="https://t.co/bDUuiafnTg">https://t.co/bDUuiafnTg</a> <a href="https://t.co/LuLG3frNw2">pic.twitter.com/LuLG3frNw2</a></p>&mdash; Sawyer Merritt (@SawyerMerritt) <a href="https://x.com/SawyerMerritt/status/2060174287563116696?ref_src=twsrc%5Etfw">May 29, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>What is the New Glenn rocket?</h2><p>Named after John Glenn, the first American to orbit Earth, the New Glenn rocket was supposed to blast off with internet satellites that are part of the Amazon Leo constellation in orbit. “At more than 320 ft (98 m) tall, New Glenn is one of the largest vehicles ever built". It uses liquid oxygen (LOX) / liquefied natural gas (LNG)-fueled oxygen-rich staged seven BE-4 combustion engines for the first stage and uses two liquid oxygen/liquid hydrogen cryogenic rocket engines, BE-3U engines, for the second stage. The first stage uses a reusable rocket like a commercial carrier and can be used for at least 25 flights. It can carry up to 13 metric tons to Geo Stationary Transfer Orbit and 45 metric tons to Low Earth Orbit. Most reusable rockets work on two-stage separation. After the first stage separation, the booster of the New Glenn rockets reorients and touches down on Jacklyn. The second stage delivers the payload to the designated orbit before collapsing over the ocean.&nbsp;</p><p>Last month, the New Glenn suffered a mishap and was temporarily grounded by the FAA. It lost its payload, BlueBird 7, an internet-beaming satellite in the upper stage, as one of its BE-3U engines did not produce enough thrust during a key burn, and landed the payload in the wrong spot.&nbsp;</p><p>The New Glenn rocket was designed to compete the Space X's Falcon Heavy and Starship satellites. SpaceX CEO Elon Musk, who also had his own recent share of explosions, said in a social media post, “Sorry to see this, I hope you recover quickly.”&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p>

Blue Origin’s New Glenn rocket exploded during a prelaunch hotfire test at Cape Canaveral, dealing a setback to Jeff Bezos’ ambitions to compete with SpaceX in the commercial space race.

Blue Origin's New Glenn rocket exploded during a routine prelaunch hotfire test at Complex 36 at Cape Canaveral Space Force Station. In a statement on social media, Blue Origin acknowledged the explosion and said that there was no damage to its personnel. According to the Brevard County Emergency Management, the explosion poses no threat to the public. However, the explosion marked a significant dent to Blue Origin's ambition to challenge SpaceX in the commercial space Industry. “It’s too early to know the root cause, but we’re already working to find it. Very rough day, but we’ll rebuild whatever needs rebuilding and get back to flying. It’s worth it,” said Jeff Bezos in a social media statement. Also Read: “I am the Vice President”: JD Vance jokes about AI heckling and shares viral chest bump at Air Force Academy graduation

<p>Blue Origin’s New Glenn rocket exploded during a prelaunch hotfire test at Cape Canaveral, dealing a setback to Jeff Bezos’ ambitions to compete with SpaceX in the commercial space race.</p>

What is New Glenn? Blue Origin rocket explodes during routine prelaunch test

<p>Anthropic has announced that Mythos-class artificial intelligence models will be made available to all customers in the coming weeks, marking a major step for one of the most closely watched AI systems in the cybersecurity industry. The announcement came alongside the launch of Anthropic's upgraded Claude Opus 4.8 model. While the new model attracted attention, many industry observers focused on a separate update confirming that Anthropic is preparing a broader rollout of AI systems with capabilities similar to Mythos. According to the company, safety protections are progressing quickly, allowing it to move closer to public availability.</p><h2><strong>What is Anthropic's Mythos AI?</strong></h2><p>Mythos is a specialised AI model designed to identify cybersecurity vulnerabilities in software systems. Unlike traditional AI chatbots that focus on answering questions or generating content, Mythos has been built to analyse software code, identify weaknesses and help organisations strengthen their digital security.</p><p>The model has attracted attention because of its reported ability to find large numbers of software vulnerabilities in a short period of time. Anthropic says Mythos can identify security flaws that may otherwise take human teams weeks or months to discover. Because of these capabilities, the company initially restricted access to the model through a programme called Project Glasswing, which was created to test the technology before a wider release.</p><h2><strong>Thousands of vulnerabilities already discovered</strong></h2><p>According to Anthropic, Mythos Preview has already helped uncover thousands of high-severity software vulnerabilities during testing. The company said some of these vulnerabilities affected major operating systems, web browsers and critical software infrastructure used worldwide. Anthropic reported that many organisations participating in Project Glasswing discovered hundreds of significant vulnerabilities in their own systems after using the model. Some participants also reported that their software security testing became more than ten times faster compared with traditional methods. One of the most notable examples came from Cloudflare, which said the model helped identify around 2,000 software bugs across important systems. According to Anthropic, nearly 400 of those vulnerabilities were classified as high or critical severity. The company also said Cloudflare found the model produced fewer false alarms than many traditional human-led testing methods.</p><h2><strong>Why cybersecurity experts are watching closely</strong></h2><p>The growing capabilities of AI systems in cybersecurity have generated both excitement and concern among industry experts. Supporters believe tools such as Mythos could significantly improve software security by helping companies identify weaknesses before cybercriminals exploit them. Faster detection of vulnerabilities could reduce the risk of major data breaches, ransomware attacks and disruptions to critical infrastructure. At the same time, experts have warned that powerful cybersecurity AI systems must be released carefully. If similar technology falls into the wrong hands, it could potentially be used to identify vulnerabilities for offensive purposes rather than defence.</p><p>This is one reason Anthropic created Project Glasswing, which includes participation from major technology firms such as Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike and Google.</p><h2><strong>Anthropic says safeguards are improving</strong></h2><p>Anthropic said the broader release is possible because the company is making progress on safety protections and monitoring systems. The company stated that it expects Mythos-class models to become available to customers in the coming weeks, although it has not yet confirmed whether the public version will be the exact Mythos model currently being tested or a closely related version with similar capabilities. The announcement reflects a broader trend across the AI industry, where companies are increasingly developing specialised models for fields such as cybersecurity, software engineering and scientific research.</p><p>The wider rollout of Mythos-class AI could become one of the most significant cybersecurity developments of the year. If Anthropic's claims are validated through broader deployment, organisations may gain access to tools capable of finding software vulnerabilities at a speed that was previously difficult to achieve. For businesses, governments and cybersecurity teams, the coming weeks will provide a clearer picture of how advanced AI systems can be used to strengthen digital defences while balancing safety and responsible deployment.</p><p>&nbsp;</p>

Anthropic has announced that Mythos-class artificial intelligence models will be made available to all customers in the coming weeks, marking a major step for one of the most closely watched AI systems in the cybersecurity industry.


Anthropic has announced that Mythos-class artificial intelligence models will be made available to all customers in the coming weeks, marking a major step for one of the most closely watched AI systems in the cybersecurity industry. The announcement came alongside the launch of Anthropic's upgraded Claude Opus 4.8 model. While the new model attracted attention, many industry observers focused on a separate update confirming that Anthropic is preparing a broader rollout of AI systems with capabilities similar to Mythos. According to the company, safety protections are progressing quickly, allowing it to move closer to public availability. What is Anthropic's Mythos AI? Mythos is a specialised AI model designed to identify cybersecurity vulnerabilities in software systems. Unlike traditional AI chatbots that focus on answering questions or generating content, Mythos has been built to analyse software code, identify weaknesses and help organisations strengthen their digital security. The model has attracted attention because of its reported ability to find large numbers of software vulnerabilities in a short period of time. Anthropic says Mythos can identify security flaws that may otherwise take human teams weeks or months to discover. Because of these capabilities, the company initially restricted access to the model through a programme called Project Glasswing, which was created to test the technology before a wider release. Thousands of vulnerabilities already discovered According to Anthropic, Mythos Preview has already helped uncover thousands of high-severity software vulnerabilities during testing. The company said some of these vulnerabilities affected major operating systems, web browsers and critical software infrastructure used worldwide. Anthropic reported that many organisations participating in Project Glasswing discovered hundreds of significant vulnerabilities in their own systems after using the model. Some participants also reported that their software security testing became more than ten times faster compared with traditional methods. One of the most notable examples came from Cloudflare, which said the model helped identify around 2,000 software bugs across important systems. According to Anthropic, nearly 400 of those vulnerabilities were classified as high or critical severity. The company also said Cloudflare found the model produced fewer false alarms than many traditional human-led testing methods. Why cybersecurity experts are watching closely The growing capabilities of AI systems in cybersecurity have generated both excitement and concern among industry experts. Supporters believe tools such as Mythos could significantly improve software security by helping companies identify weaknesses before cybercriminals exploit them. Faster detection of vulnerabilities could reduce the risk of major data breaches, ransomware attacks and disruptions to critical infrastructure. At the same time, experts have warned that powerful cybersecurity AI systems must be released carefully. If similar technology falls into the wrong hands, it could potentially be used to identify vulnerabilities for offensive purposes rather than defence. This is one reason Anthropic created Project Glasswing, which includes participation from major technology firms such as Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike and Google. Anthropic says safeguards are improving Anthropic said the broader release is possible because the company is making progress on safety protections and monitoring systems. The company stated that it expects Mythos-class models to become available to customers in the coming weeks, although it has not yet confirmed whether the public version will be the exact Mythos model currently being tested or a closely related version with similar capabilities. The announcement reflects a broader trend across the AI industry, where companies are increasingly developing specialised models for fields such as cybersecurity, software engineering and scientific research. The wider rollout of Mythos-class AI could become one of the most significant cybersecurity developments of the year. If Anthropic's claims are validated through broader deployment, organisations may gain access to tools capable of finding software vulnerabilities at a speed that was previously difficult to achieve. For businesses, governments and cybersecurity teams, the coming weeks will provide a clearer picture of how advanced AI systems can be used to strengthen digital defences while balancing safety and responsible deployment.

<p>Anthropic has announced that Mythos-class artificial intelligence models will be made available to all customers in the coming weeks, marking a major step for one of the most closely watched AI systems in the cybersecurity industry.</p>

Anthropic’s most powerful Mythos-class AI model could soon reach all users

<p>Anthropic announced on Thursday (May 28) that it has raised $65 billion in a fresh funding round, pushing the company’s valuation to an eye-popping $965 billion, surpassing rival OpenAI, the creator of ChatGPT. The latest investment round cements Anthropic’s position as one of the most influential companies in the rapidly expanding artificial intelligence industry. The startup, led by former OpenAI executive Dario Amodei, has earned recognition for its advanced coding capabilities and cutting-edge AI models.</p><p>&nbsp;</p><p>Anthropic’s rapid rise has largely been driven by its focus on enterprise AI solutions rather than consumer-facing products, a strategy that differs from the path initially taken by OpenAI. Founded by former OpenAI employees, including CEO Amodei, Anthropic has also built its reputation around AI safety while aggressively developing new technologies to remain competitive in the global AI race. “This funding will help us serve the historic demand we are experiencing, stay at the research frontier, and bring Claude to more of the places where work happens,” said Krishna Rao, Anthropic’s chief financial officer.</p><p>&nbsp;</p><p><strong>Also Read: </strong><a href="https://www.wionews.com/trending/they-walk-among-us-white-house-s-aliens-gov-website-isn-t-about-ufos-it-s-about-migrants-1780011068741"><strong>'They walk among us': White House's 'aliens.gov' website isn't about UFOs — it's about migrants</strong></a></p><p>&nbsp;</p><p>Anthropic’s near-trillion-dollar valuation now places it ahead of OpenAI, which was valued at $852 billion in March. Industry observers believe both companies could pursue public listings as early as this year. Ahead of both firms, SpaceX, which absorbed xAI earlier this year, could begin trading publicly as soon as June 12, targeting a valuation of around $1.75 trillion in what could become the largest IPO in history.</p><p>&nbsp;</p><p>The funding round was led by prominent Silicon Valley investors, including Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital. Anthropic also secured $15 billion in previously committed investments from major cloud computing companies, including $5 billion from Amazon. Chipmakers Micron Technology, Samsung, and SK hynix joined the round as strategic infrastructure partners, reflecting the growing importance of semiconductor companies in powering AI development.</p><p>&nbsp;</p><p><a href="https://www.wionews.com/videos/ukraine-heavily-dependent-on-us-patriot-systems-ukraine-sounds-alarms-as-attacks-intensify-1780021846414/embed"><strong>https://www.wionews.com/videos/ukraine-heavily-dependent-on-us-patriot-systems-ukraine-sounds-alarms-as-attacks-intensify-1780021846414/embed</strong></a></p><p>&nbsp;</p><p>The company said Claude has become the first frontier AI model available across the world’s three largest cloud platforms, Amazon Web Services, Google Cloud, and Microsoft Azure. The fundraising comes as Anthropic faces a major legal dispute with the Pentagon. The company has sued the US Defense Department after being labelled a supply chain risk, a designation Anthropic argues was unconstitutional retaliation for refusing to provide the military with unrestricted access to its AI systems. Anthropic’s next-generation AI model, Mythos, has reportedly demonstrated unprecedented cybersecurity capabilities. Due to those concerns, the company has restricted access to select security partners instead of making the model publicly available.</p>

Anthropic raised $65 billion in a new funding round, valuing the Claude maker at $965 billion and surpassing OpenAI. The AI startup continues expanding enterprise AI and cloud partnerships while navigating a Pentagon legal dispute

Anthropic announced on Thursday (May 28) that it has raised $65 billion in a fresh funding round, pushing the company’s valuation to an eye-popping $965 billion, surpassing rival OpenAI, the creator of ChatGPT. The latest investment round cements Anthropic’s position as one of the most influential companies in the rapidly expanding artificial intelligence industry. The startup, led by former OpenAI executive Dario Amodei, has earned recognition for its advanced coding capabilities and cutting-edge AI models. Anthropic’s rapid rise has largely been driven by its focus on enterprise AI solutions rather than consumer-facing products, a strategy that differs from the path initially taken by OpenAI. Founded by former OpenAI employees, including CEO Amodei, Anthropic has also built its reputation around AI safety while aggressively developing new technologies to remain competitive in the global AI race. “This funding will help us serve the historic demand we are experiencing, stay at the research frontier, and bring Claude to more of the places where work happens,” said Krishna Rao, Anthropic’s chief financial officer. Also Read: 'They walk among us': White House's 'aliens.gov' website isn't about UFOs — it's about migrants Anthropic’s near-trillion-dollar valuation now places it ahead of OpenAI, which was valued at $852 billion in March. Industry observers believe both companies could pursue public listings as early as this year. Ahead of both firms, SpaceX, which absorbed xAI earlier this year, could begin trading publicly as soon as June 12, targeting a valuation of around $1.75 trillion in what could become the largest IPO in history. The funding round was led by prominent Silicon Valley investors, including Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital. Anthropic also secured $15 billion in previously committed investments from major cloud computing companies, including $5 billion from Amazon. Chipmakers Micron Technology, Samsung, and SK hynix joined the round as strategic infrastructure partners, reflecting the growing importance of semiconductor companies in powering AI development. https://www.wionews.com/videos/ukraine-heavily-dependent-on-us-patriot-systems-ukraine-sounds-alarms-as-attacks-intensify-1780021846414/embed The company said Claude has become the first frontier AI model available across the world’s three largest cloud platforms, Amazon Web Services, Google Cloud, and Microsoft Azure. The fundraising comes as Anthropic faces a major legal dispute with the Pentagon. The company has sued the US Defense Department after being labelled a supply chain risk, a designation Anthropic argues was unconstitutional retaliation for refusing to provide the military with unrestricted access to its AI systems. Anthropic’s next-generation AI model, Mythos, has reportedly demonstrated unprecedented cybersecurity capabilities. Due to those concerns, the company has restricted access to select security partners instead of making the model publicly available.

<p>Anthropic raised $65 billion, reaching a $965 billion valuation and overtaking OpenAI in the intensifying global artificial intelligence race</p>

Anthropic surpasses Open AI with massive $965 billion valuation as AI race intensifies

<p>Jeff Bezos-backed Blue Origin suffered a major setback on Thursday (May 28) after its New Glenn rocket exploded during a ground test at Cape Canaveral in Florida, sending a huge fireball into the sky. The latest setback has triggered fresh questions about the future of the company's flagship launch vehicle. The explosion occurred during what Blue Origin described as a routine "hotfire test" of the rocket, a critical pre-launch procedure in which engines are ignited while the vehicle remains secured to the launch pad. "We experienced an anomaly during today's hotfire test," said the company in a brief statement posted to X, adding that "all personnel have been accounted for."</p><p><strong>Also read | </strong><a href="https://www.wionews.com/world/what-is-the-tower-of-babel-and-why-did-pope-leo-warn-about-it-while-talking-about-ai-wion-decodes-1779790151646"><strong>Pope Leo warns humanity risks repeating ancient mistake: What is the Tower of Babel and what does it have to do with AI?</strong></a></p><h2><strong>Dramatic videos show massive fireball</strong></h2>

<p>Dramatic videos circulating online showed smoke billowing from beneath the rocket moments before it erupted into a massive explosion, engulfing the launch pad in flames.</p>

<blockquote class="twitter-tweet" data-media-max-width="560"><p lang="en" dir="ltr">Blue Origin&#39;s New Glenn just blew up at LC-36 while attempting to Static Fire ahead of NG-4.<a href="https://t.co/tANS0dWyIH">https://t.co/tANS0dWyIH</a> <a href="https://t.co/PztxFoBqIw">pic.twitter.com/PztxFoBqIw</a></p>&mdash; NSF - NASASpaceflight.com (@NASASpaceflight) <a href="https://x.com/NASASpaceflight/status/2060164928472854821?ref_src=twsrc%5Etfw">May 29, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<p>The company did not immediately disclose the extent of damage to the rocket or launch infrastructure. The incident drew an immediate response from Florida Congressman Mike Haridopolos, whose district includes Cape Canaveral. He said he had been in contact with NASA Administrator Jared Isaacman following the explosion.</p><p>"I am grateful there were no reported injuries and thankful for the first responders, engineers, and launch crews who acted quickly," Haridopolos wrote on X.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/india-news/tmc-leader-s-buried-cash-scandal-explodes-in-bengal-police-recover-over-20-million-from-dipankar-bhattacharya-s-farmland-1779962616557"><strong>TMC leader’s ‘buried cash’ scandal explodes in Bengal; police recover over 20 million from Dipankar Bhattacharya's farmland</strong></a></p><h2><strong>Another setback for Bezos' New Glenn programme</strong></h2><p>The blast marks another blow for Blue Origin's ambitious New Glenn programme, which is designed to compete directly with SpaceX's Falcon Heavy and Starship systems in the commercial launch market.</p><p>Named after pioneering astronaut John Glenn, the heavy-lift rocket is central to Blue Origin's plans to become a major player in satellite launches, lunar missions and deep-space exploration.</p><p>The explosion comes just weeks after another setback for the company. In April, a New Glenn mission failed to place a communications satellite into its intended orbit, prompting an internal investigation and renewed scrutiny of the programme.<br>&nbsp;</p>

Watch: Blue Origin’s New Glenn rocket explodes on launch pad during 'hotfire test'

Jeff Bezos-backed Blue Origin suffered a major setback on Thursday (May 28) after its New Glenn rocket exploded during a ground test at Cape Canaveral in Florida, sending a huge fireball into the sky. The latest setback has triggered fresh questions about the future of the company's flagship launch vehicle. The explosion occurred during what Blue Origin described as a routine "hotfire test" of the rocket, a critical pre-launch procedure in which engines are ignited while the vehicle remains secured to the launch pad. "We experienced an anomaly during today's hotfire test," said the company in a brief statement posted to X, adding that "all personnel have been accounted for." Also read | Pope Leo warns humanity risks repeating ancient mistake: What is the Tower of Babel and what does it have to do with AI? Dramatic videos show massive fireball

<p>Blue Origin’s massive New Glenn rocket exploded in a fireball during a crucial launch pad test in Florida. Dramatic footage shows the rocket engulfed in flames moments after engine ignition. What happened? Here's all we know.</p>

Watch: Blue Origin’s New Glenn rocket explodes in massive fireball during launch pad 'hotfire test'

<p>Meta has announced a new range of subscription services for Instagram, Facebook and WhatsApp users as the company looks to expand beyond its traditional advertising business. The new consumer-focused “Plus” subscription plans will offer additional features aimed at creators, power users and highly active social media users.</p><p>The company also confirmed that it is testing new AI-focused subscription packages under a broader initiative called “Meta One”, which will combine the company’s growing range of premium services into a single ecosystem.</p><h2><strong>What Meta’s new Plus plans offer</strong></h2><p>According to Meta, the new subscription tiers are designed to provide users with additional personalisation and engagement features across its apps.</p><p>Users subscribing to Instagram Plus and Facebook Plus will reportedly pay around $3.99 per month, while WhatsApp Plus is expected to cost around $2.99 per month in international markets. India-specific pricing has not yet been announced.</p><p>The new Instagram Plus and Facebook Plus plans include features such as:</p><p>Profile customisation tools<br>Super Heart animated reactions<br>Story insights and rewatch tracking<br>Unlimited audience lists for Stories<br>Extra profile pins<br>Custom app icons and fonts<br>Subscribers will also be able to:<br>Extend Stories beyond 24 hours<br>Spotlight a Story once every week<br>Preview Stories without appearing in viewer lists<br>Search viewer lists more easily</p><p>Meta says these features are aimed mainly at creators and highly engaged users who want more control over audience interaction and content presentation.</p><h2><strong>WhatsApp Plus focuses on messaging personalisation</strong></h2><p>The WhatsApp Plus subscription is designed differently from the company’s social media-focused plans. Instead of creator tools, it focuses more on messaging personalisation and user experience.</p><p>Features include:<br>Custom themes<br>Premium stickers<br>Additional pinned chats<br>Custom ringtones<br>Expanded list customisation</p><p>The company said the plan is intended for users who want more flexibility and customisation inside the messaging platform.</p><h2><strong>Meta is also expanding its AI subscription business</strong></h2><p>Alongside the Plus subscriptions, Meta confirmed that it is preparing premium plans for Meta AI users under a new branding system called “Meta One”.</p><p>The company is currently testing:<br>Meta One Plus at $7.99 per month<br>Meta One Premium at $19.99 per month</p><p>According to Meta, Premium subscribers will receive:<br>Higher AI compute access<br>More advanced reasoning capabilities<br>Expanded image and video generation tools<br>Additional support for Meta’s AI-powered smart glasses</p><p>Meta said these AI-focused plans will initially be tested in countries including:<br>Singapore<br>Guatemala<br>Bolivia<br>Meanwhile, creator and business-focused subscription plans are expected to begin testing in Saudi Arabia, Morocco, Thailand and Bangladesh.</p><h2><strong>Why Meta is increasing focus on subscriptions</strong></h2><p>Meta’s growing subscription strategy reflects a wider shift inside the company as it looks for new revenue streams beyond digital advertising.</p><p>Industry analysts say the company is attempting to:</p><p>Monetise highly engaged users<br>Increase creator-focused revenue<br>Expand AI-related business models<br>Reduce dependence on advertising growth</p><p>The move comes as growth across Meta’s major apps slows in several mature markets. Meta has also been aggressively expanding its AI ecosystem in recent months. The company recently launched new standalone apps and AI-integrated features, including the Forum app and Instagram’s new Instants feature.</p><h2><strong>Meta says free versions will continue</strong></h2><p>Meta clarified that the new Plus plans are separate from its existing Meta Verified subscription service, which focuses mainly on account verification and identity protection. The company also said Meta AI will remain free for casual users, while paid tiers are designed for those requiring more advanced AI features and computing capacity. The launch of Meta’s subscription plans highlights how large technology companies are increasingly experimenting with paid digital services and AI-based products. As competition in AI and social media intensifies, Meta appears to be positioning itself not only as a social networking company, but also as a broader AI and digital services platform.</p>

Meta has announced a new range of subscription services for Instagram, Facebook and WhatsApp users as the company looks to expand beyond its traditional advertising business. The new consumer-focused “Plus” subscription plans will offer additional features aimed at creators.

Meta has announced a new range of subscription services for Instagram, Facebook and WhatsApp users as the company looks to expand beyond its traditional advertising business. The new consumer-focused “Plus” subscription plans will offer additional features aimed at creators, power users and highly active social media users. The company also confirmed that it is testing new AI-focused subscription packages under a broader initiative called “Meta One”, which will combine the company’s growing range of premium services into a single ecosystem. What Meta’s new Plus plans offer According to Meta, the new subscription tiers are designed to provide users with additional personalisation and engagement features across its apps. Users subscribing to Instagram Plus and Facebook Plus will reportedly pay around $3.99 per month, while WhatsApp Plus is expected to cost around $2.99 per month in international markets. India-specific pricing has not yet been announced. The new Instagram Plus and Facebook Plus plans include features such as: Profile customisation tools Super Heart animated reactions Story insights and rewatch tracking Unlimited audience lists for Stories Extra profile pins Custom app icons and fonts Subscribers will also be able to: Extend Stories beyond 24 hours Spotlight a Story once every week Preview Stories without appearing in viewer lists Search viewer lists more easily Meta says these features are aimed mainly at creators and highly engaged users who want more control over audience interaction and content presentation. WhatsApp Plus focuses on messaging personalisation The WhatsApp Plus subscription is designed differently from the company’s social media-focused plans. Instead of creator tools, it focuses more on messaging personalisation and user experience. Features include: Custom themes Premium stickers Additional pinned chats Custom ringtones Expanded list customisation The company said the plan is intended for users who want more flexibility and customisation inside the messaging platform. Meta is also expanding its AI subscription business Alongside the Plus subscriptions, Meta confirmed that it is preparing premium plans for Meta AI users under a new branding system called “Meta One”. The company is currently testing: Meta One Plus at $7.99 per month Meta One Premium at $19.99 per month According to Meta, Premium subscribers will receive: Higher AI compute access More advanced reasoning capabilities Expanded image and video generation tools Additional support for Meta’s AI-powered smart glasses Meta said these AI-focused plans will initially be tested in countries including: Singapore Guatemala Bolivia Meanwhile, creator and business-focused subscription plans are expected to begin testing in Saudi Arabia, Morocco, Thailand and Bangladesh. Why Meta is increasing focus on subscriptions Meta’s growing subscription strategy reflects a wider shift inside the company as it looks for new revenue streams beyond digital advertising. Industry analysts say the company is attempting to: Monetise highly engaged users Increase creator-focused revenue Expand AI-related business models Reduce dependence on advertising growth The move comes as growth across Meta’s major apps slows in several mature markets. Meta has also been aggressively expanding its AI ecosystem in recent months. The company recently launched new standalone apps and AI-integrated features, including the Forum app and Instagram’s new Instants feature. Meta says free versions will continue Meta clarified that the new Plus plans are separate from its existing Meta Verified subscription service, which focuses mainly on account verification and identity protection. The company also said Meta AI will remain free for casual users, while paid tiers are designed for those requiring more advanced AI features and computing capacity. The launch of Meta’s subscription plans highlights how large technology companies are increasingly experimenting with paid digital services and AI-based products. As competition in AI and social media intensifies, Meta appears to be positioning itself not only as a social networking company, but also as a broader AI and digital services platform.

<p>Meta has announced a new range of subscription services for Instagram, Facebook and WhatsApp users as the company looks to expand beyond its traditional advertising business. The new consumer-focused “Plus” subscription plans will offer additional features aimed at creators.</p>

Meta launches ‘Plus’ subscriptions for Instagram, Facebook and WhatsApp alongside new AI plans

<p>Meta may soon enter the cloud computing business, potentially competing with companies such as Amazon Web Services, Microsoft Azure and Google Cloud. Meta CEO Mark Zuckerberg said during the company’s annual shareholder meeting that the option is “definitely on the table” as demand for AI computing power continues to grow.</p><p>The comments come as Meta sharply increases its investment in artificial intelligence infrastructure. The company plans to spend between $125 billion and $145 billion on AI-related capital expenditure this year, one of the largest AI investment plans announced by any technology company.</p><h2><strong>Why Meta is considering cloud computing</strong></h2><p>Cloud computing companies provide businesses with servers, storage systems and networking infrastructure needed to run applications and AI services. AI tools such as ChatGPT and Gemini rely heavily on cloud infrastructure to process large amounts of data and run advanced models.</p><p>According to Zuckerberg, Meta is regularly receiving requests from outside companies looking to purchase computing capacity from the company. He said firms are asking whether Meta could:<br>Offer API-based AI services<br>Lease excess computing infrastructure<br>Provide access to AI servers and processing power</p><p>Zuckerberg noted that demand for compute has become extremely high due to the rapid expansion of artificial intelligence systems.</p><p>Meta remains the only major AI player without cloud business</p><p>Unlike its biggest competitors, Meta currently does not operate a large commercial cloud platform.</p><p><strong>Major technology companies already dominating the market include:</strong><br>Amazon Web Services (AWS)<br>Microsoft Azure<br>Google Cloud</p><p>These companies provide cloud infrastructure to businesses worldwide and generate billions of dollars annually from the sector. Even newer AI-focused firms are increasingly monetising their infrastructure. Recently, SpaceXAI leased its Colossus 1 supercomputer infrastructure to Anthropic for AI model training and operations.</p><h2><strong>Meta says demand for compute is rapidly increasing</strong></h2><p>Zuckerberg said Meta currently does not have surplus cloud capacity available for outside companies because the firm is heavily using its own infrastructure for AI projects. However, he added that if Meta eventually builds more capacity than it needs internally, the company could begin selling access to external customers. He stated that the possibility of monetising excess infrastructure is one reason why Meta feels confident investing aggressively in AI data centres and computing systems. Anthropic CFO Krishna Rao recently described computing power as “the lifeblood” of AI companies, highlighting how central cloud infrastructure has become in the AI race.</p><h2><strong>AI investments come alongside restructuring</strong></h2><p>Meta’s growing AI focus comes during a period of major restructuring inside the company. The firm recently cut around 8,000 jobs globally while reportedly reassigning another 7,000 employees to AI-focused teams. The company has also closed around 6,000 open positions as it redirects spending towards artificial intelligence development. Despite the restructuring, Zuckerberg has previously said Meta does not currently plan additional layoffs this year. The company is also preparing to test premium subscription services for Meta AI in selected markets as it looks for new revenue streams linked to artificial intelligence.</p><h2><strong>Why cloud infrastructure has become critical in AI race</strong></h2><p>Demand for computing infrastructure has surged as companies build larger AI models requiring massive processing power and data storage.</p><p>Industry analysts say AI development now depends heavily on:</p><p>Advanced chips<br>High-capacity servers<br>Large-scale data centres<br>Continuous cloud processing</p><p>This has made cloud infrastructure one of the most strategically important areas in the technology sector. Meta has not officially confirmed plans to launch a cloud computing platform, but Zuckerberg’s comments suggest the company is exploring the possibility as AI demand continues to grow. If Meta eventually enters the market, it could intensify competition in the global cloud industry, where AWS, Microsoft and Google currently dominate. The development also highlights how the AI boom is pushing major technology companies to expand beyond software and into large-scale infrastructure businesses.</p>

Meta may soon enter the cloud computing business, potentially competing with companies such as Amazon Web Services, Microsoft Azure and Google Cloud. 

Meta may soon enter the cloud computing business, potentially competing with companies such as Amazon Web Services, Microsoft Azure and Google Cloud. Meta CEO Mark Zuckerberg said during the company’s annual shareholder meeting that the option is “definitely on the table” as demand for AI computing power continues to grow. The comments come as Meta sharply increases its investment in artificial intelligence infrastructure. The company plans to spend between $125 billion and $145 billion on AI-related capital expenditure this year, one of the largest AI investment plans announced by any technology company. Why Meta is considering cloud computing Cloud computing companies provide businesses with servers, storage systems and networking infrastructure needed to run applications and AI services. AI tools such as ChatGPT and Gemini rely heavily on cloud infrastructure to process large amounts of data and run advanced models. According to Zuckerberg, Meta is regularly receiving requests from outside companies looking to purchase computing capacity from the company. He said firms are asking whether Meta could: Offer API-based AI services Lease excess computing infrastructure Provide access to AI servers and processing power Zuckerberg noted that demand for compute has become extremely high due to the rapid expansion of artificial intelligence systems. Meta remains the only major AI player without cloud business Unlike its biggest competitors, Meta currently does not operate a large commercial cloud platform. Major technology companies already dominating the market include: Amazon Web Services (AWS) Microsoft Azure Google Cloud These companies provide cloud infrastructure to businesses worldwide and generate billions of dollars annually from the sector. Even newer AI-focused firms are increasingly monetising their infrastructure. Recently, SpaceXAI leased its Colossus 1 supercomputer infrastructure to Anthropic for AI model training and operations. Meta says demand for compute is rapidly increasing Zuckerberg said Meta currently does not have surplus cloud capacity available for outside companies because the firm is heavily using its own infrastructure for AI projects. However, he added that if Meta eventually builds more capacity than it needs internally, the company could begin selling access to external customers. He stated that the possibility of monetising excess infrastructure is one reason why Meta feels confident investing aggressively in AI data centres and computing systems. Anthropic CFO Krishna Rao recently described computing power as “the lifeblood” of AI companies, highlighting how central cloud infrastructure has become in the AI race. AI investments come alongside restructuring Meta’s growing AI focus comes during a period of major restructuring inside the company. The firm recently cut around 8,000 jobs globally while reportedly reassigning another 7,000 employees to AI-focused teams. The company has also closed around 6,000 open positions as it redirects spending towards artificial intelligence development. Despite the restructuring, Zuckerberg has previously said Meta does not currently plan additional layoffs this year. The company is also preparing to test premium subscription services for Meta AI in selected markets as it looks for new revenue streams linked to artificial intelligence. Why cloud infrastructure has become critical in AI race Demand for computing infrastructure has surged as companies build larger AI models requiring massive processing power and data storage. Industry analysts say AI development now depends heavily on: Advanced chips High-capacity servers Large-scale data centres Continuous cloud processing This has made cloud infrastructure one of the most strategically important areas in the technology sector. Meta has not officially confirmed plans to launch a cloud computing platform, but Zuckerberg’s comments suggest the company is exploring the possibility as AI demand continues to grow. If Meta eventually enters the market, it could intensify competition in the global cloud industry, where AWS, Microsoft and Google currently dominate. The development also highlights how the AI boom is pushing major technology companies to expand beyond software and into large-scale infrastructure businesses.

<p>Meta may soon enter the cloud computing business, potentially competing with companies such as Amazon Web Services, Microsoft Azure and Google Cloud.&nbsp;</p>

Meta may enter cloud computing market as AI demand drives need for compute power

<p>Recent comments by some Big Tech top brass on Artificial Intelligence adoption are providing a reality check moment: Is AI adoption really helping companies cut costs, bring in efficient processes, and improve bottom lines? The ‘token burn rate’ of AI tools — particularly agentic AI models like Claude — is rising faster than the return on investment (ROI) for the firms using AI. In simplest terms, tokens are the total input-output measurement of computing required to answer your queries, prompts, or chats with an AI interface. OpenAI CEO Sam Altman has admitted that the “job apocalypse” that he and many other AI advocates predicted is not happening as fast as he thought. Why is AI still not able to bring the expected rewards for companies that adopted it? Why are firms like Starbucks re-hiring humans after having adopted or integrated AI into their workflows?</p><h2>AI adoption meets reality</h2><p>After a couple of years of hype, enterprise AI adoption is entering a more sceptical and realistic phase. Companies that adopted AI saw an explosion in token consumption, the main criterion used by AI tools for billing. But firms like Uber are now realising that this is not translating into productivity gains, shipped features, or workforce reductions. Some are now asking the question: Is AI spending economically justified as a cost-cutting and productivity-increasing measure? Some are realising that the “AI apocalypse” may arrive much before the long-predicted jobs apocalypse, because AI stocks could fall if adoption is not in tandem with the billions of dollars spent on computing power to answer user queries.</p><h2>Uber president’s warning: Astronomical token growth meets unclear business value</h2><p>Uber President and COO Andrew Macdonald recently said AI investments are becoming “harder to justify”, as companies cannot yet connect rising AI usage to concrete business outcomes. Speaking on the <i>Rapid Response</i> podcast, Macdonald talked of a widening gap between AI-assisted coding activity and actual delivered value. “You talk to your senior engineering leaders, and you’re saying, ‘Okay, how many projects that were on the cutting room floor got moved above the line because of the productivity gains, because 25 per cent of our code commits were via Claude Code last quarter?’ That link is not there yet,” he said. “If you’re not actually able to draw a direct line to how much useful features and functionality you’re shipping to your users, that trade becomes harder to justify.”</p><p>Macdonald noted that token usage and AI-generated code commits are going up “in a really astronomical direction”. Yet Uber still struggles to tie those metrics to measurable gains in productivity, feature delivery, or user outcomes, he said.</p><h2>Firms are burning through their AI budgets but have little to show for productivity or cost gains</h2><p>Uber reportedly exhausted its entire 2026 AI coding tools budget within roughly four months because of extremely high employee adoption — around 95 per cent in some teams. This means that, when given a chance, employees would use AI for most of their tasks, driving up the costs. In Uber’s case, the AI budget costs were partially offset by reduced hiring of humans.</p><p>Macdonald’s reality check came weeks after his own company’s CEO, Dara Khosrowshahi, talked of AI as a way to dramatically increase throughput. Uber was targeting between 20 and 100 per cent productivity gains per employee while slowing down hiring. But that doesn't seem to be happening.</p><h2>The basic problem with enterprise AI: Usage is easy to measure, but value gains are not</h2><p>Macdonald’s remarks are an example of growing doubts across several AI-user industries about whether spending on AI is generating returns on investment fast enough. AI coding tools are usage-based systems where costs rise as usage increases. Those using AI — such as developers — consume more tokens very quickly.</p><p>AI token costing is different from traditional software licences. The costs can rise exponentially, particularly with agentic workflows and large-context usage. Companies can easily measure and track token counts, code generation volume, AI-assisted commits, or tool adoption rates. But in many cases, this is not going hand in hand with increases in shipped features, faster delivery cycles, better products, or higher revenue.</p><h2>Some firms are moving from ‘AI pilot project’ hype to more disciplined use of AI: Enter the token throttling era</h2><p>Several enterprises expected that AI would help cut down large engineering teams while producing equal or greater output, but they are unable to prove this in real life. The causes are many: AI integration challenges, organisational friction, and quality issues that require human testing, monitoring, and control.</p><p>Reports indicate that some of these companies are now transitioning from the exuberant “pilot and hype” phase of AI adoption to a more financially disciplined era focused on accountability. Both AI providers and companies that adopt AI are increasingly relying on “token throttling”: &nbsp;methods by which caps are introduced on how many tokens users or teams can consume within specific time windows.</p><p>AI providers such as Anthropic and OpenAI use throttling to manage GPU capacity and stabilise services in order to limit queues and “Too Many Requests” errors. They are trying to ensure fair access and control compute costs. Limits include tokens-per-minute caps, rolling usage windows, weekly caps, and peak-hour restrictions.</p><p>On the other hand, companies using AI tools are also implementing their own throttling systems and governance policies to prevent uncontrolled spending from heavy users or autonomous coding agents. These controls reflect how quickly costs can spiral in AI workflows, particularly agentic coding systems that repeatedly process large codebases and contexts.</p><h2>How much are companies spending on AI tokens?</h2><p>It depends on usage intensity, which AI models are used, and how much automation is introduced using AI. Anthropic, the firm behind Claude, estimates that average Claude Code usage costs roughly $6 per active developer per day. It said that 90 per cent of users stay below $12 daily. This translates to approximately $100–$250 per developer per month for moderate-to-heavy usage. For context, Anthropic’s enterprise plans roughly cost $200 for coding workflows of power users, around $85 for typical users, and $25 for light users per month. But all this depends on a specific company’s usage patterns. One company with 100 engineers might spend only about $2,500 monthly overall, while extreme outliers can consume $500–$1,400 worth of tokens in a single day when running agentic workflows with massive contexts.</p><p>Some startups have reportedly seen AI spending grow 15 times within months, jumping from roughly $200 per developer monthly to nearly $3,000 as adoption deepened and workflows became more AI-dependent.</p><p>This is why human governance, throttling, and budget controls are becoming standard enterprise practices.</p><h2>Claude vs OpenAI: The pricing arms race</h2><p>Token costs are central to enterprise budgeting for AI adoption. In flagship models, Anthropic’s Claude Opus 4.7 charges approximately $5 per million input tokens and $25 per million output tokens. Note that one million input tokens are roughly equal to 750,000 words. Output tokens are charged at a higher rate than input tokens.</p><p>OpenAI’s GPT-5.5 is priced at around $5 input and $30 output. Anthropic is therefore slightly cheaper for high-end, output-heavy workloads. Most coding and production use of AI is happening in the mid-tier market. Here, OpenAI is generally cheaper. Claude Sonnet 4.6 costs roughly $3 input and $15 output per million tokens, while OpenAI’s GPT-5.4 costs about $2.50 input and $15 output. OpenAI’s GPT-5.4 Mini is significantly cheaper at $0.75 input and $4.50 output. At the budget tier, OpenAI has a stronger cost advantage. GPT-5.4 Nano costs around $0.20 input and $1.25 output per million tokens, while Claude Haiku 4.5 costs roughly $1 input and $5 output.</p><p>But remember, you get what you pay for.</p><p><a href="https://www.wionews.com/videos/us-iran-war-military-operations-used-anthropic-ai-despite-white-house-ban-1772367271311/embed">https://www.wionews.com/videos/us-iran-war-military-operations-used-anthropic-ai-despite-white-house-ban-1772367271311/embed</a></p><h2>Enterprises are rethinking AI deployment versus human engineers</h2><p>It is emerging that heavy AI coding usage could end up costing more than simply paying human engineers. Businesses are looking at cost-cutting methods while adopting AI. They often mix AI providers depending on the workload. Claude is popular for coding, reasoning, and long-context tasks despite higher costs, while OpenAI is frequently favoured for broader cost efficiency. Regardless of the AI provider, real-world developer costs commonly remain in the $100 to $400 monthly range for serious AI-assisted engineering work. The cost differential is leading some companies to mix and match AI and humans.&nbsp;</p><p>Microsoft, which gave thousands of engineers access to Anthropic’s Claude Code in late 2025, saw AI usage costs rise so sharply that it started cancelling many direct Claude licences in divisions like Experiences &amp; Devices. The company is shifting employees towards its own cheaper tool, GitHub Copilot CLI, mainly to control token spending.</p><p>Starbucks, which rolled out its AI inventory system called “Automated Counting” across North American stores to reduce manual work and improve efficiency, had to shut it down after nine months. The AI system frequently made mistakes, often miscounting or mislabelling items like milk and syrups, forcing employees to spend extra time double-checking inventory manually. In this case, instead of saving labour, the AI tool created additional work and operational problems. Starbucks has since shifted focus back towards consistency and human staffing, including hiring more baristas.</p><p>Companies like Meta and Amazon encouraged heavy internal AI use, but are finding out now that newer agentic AI systems consume vastly more computing power than normal chatbot use. In some cases, agentic workflows can use up to 1,000 times more tokens than standard AI queries, leading to increase in AI bills faster than companies can measure real productivity gains.</p><h2>A reality check from OpenAI CEO: Sam Altman admits the jobs apocalypse hasn’t arrived</h2><p>It is in this context that we have to read Sam Altman’s recent comments acknowledging that AI has displaced far fewer jobs than he and other AI evangelists expected just one or two years ago. The OpenAI CEO said at the Commonwealth Bank of Australia conference that he was “delighted to be wrong” about the pace of white-collar job elimination. “I thought there would have been more impact on entry-level white-collar jobs being eliminated by now than has actually happened.”</p><p>He said OpenAI had been “roughly right” about technological progress, but “pretty wrong” about the social and economic implications. “I don’t think we’re going to have the kind of jobs apocalypse that some of the companies in our space advocate or talk about.”</p><p>Also read: <a href="https://www.wionews.com/photos/anthropic-blocks-entire-company-out-of-claude-without-a-reasonable-explanation-1776854687090">Anthropic blocks entire company out of Claude without a reasonable explanation</a></p><h2>Why AI adoption isn’t translating into mass job cuts</h2><p>Altman thinks the slower-than-expected displacement is due to the enduring importance of human interaction, organisational inertia, and the complexities of AI integration into workflows. Acknowledging the persistent “human part” of work, he said, “We really do care about our interactions with people.” People still value trust, judgement, relationships, and authentic communication, he noted, while sharing how his own attempts to outsource his email and Slack communications to AI made him realise that meaningful interactions could not simply be automated away.</p><h2>Why enterprises will move only slowly on AI adoption</h2><p>Even when AI systems are technically far more capable, organisations face institutional friction, risk aversion, AI integration challenges, oversight requirements, and structural complexity that delay real transformation. This leads to a paradoxical situation: AI adoption and token usage are growing extremely quickly, but businesses are struggling to convert that activity into measurable reductions in headcount, faster shipping cycles, or clear bottom-line improvements.</p><p>This is why some firms are moving from an “AI experimentation” phase to a “scrutiny and governance” phase, where spending controls, throttling, ROI measurement, and human oversight are becoming central priorities.</p><p>Also read: <a href="https://www.wionews.com/technology/-10-000-bugs-in-a-month-how-anthropic-s-ai-is-changing-cybersecurity-1779526061436">‘10,000 bugs in a month’: How Anthropic’s AI is changing cybersecurity</a></p><h2>AI washing and re-hiring of humans: How organisational reality is outpacing AI hype</h2><p>From the point of view of these companies, the economic and organisational limits of AI adoption are arriving faster than mass labour displacement. There are two things happening. One is “AI washing”, where layoffs are blamed on AI, but the real causes are elsewhere. The second is re-hiring after premature job cuts. These two aspects are creating scepticism about exaggerated AI automation narratives.</p><p>There is no doubt that AI is improving productivity in targeted workflows. But these gains often lead companies to pursue more ambitious goals rather than simply reduce staff. AI-led efficiency increases total consumption instead of lowering it, and it creates the need to increase AI budgets.</p><p>A more sober consensus appears to be emerging in at least some companies that, while AI capability is advancing rapidly, organisational absorption is much slower.</p><p>For now, the immediate crisis for many enterprises is not mass unemployment — it is runaway AI spending without clear accountability. Big Tech companies like Microsoft, Meta, Google-Alphabet, and Amazon are pumping massive capital expenditure into AI infrastructure, estimated to total up to $700 billion. But investors and executives are seeking clearer monetisation and productivity links.</p><p>The AI apocalypse, financially speaking, may arrive before the jobs apocalypse if and when AI provider companies fail to scale adoption in tandem with the computing costs involved in answering queries.</p>

Companies adopting AI are facing soaring token costs, unclear ROI, and slower-than-expected job cuts. Firms like Uber, Microsoft, and Starbucks are rethinking the balance between AI spending and human staffing. Is the AI vs human labour hype already over?

Recent comments by some Big Tech top brass on Artificial Intelligence adoption are providing a reality check moment: Is AI adoption really helping companies cut costs, bring in efficient processes, and improve bottom lines? The ‘token burn rate’ of AI tools — particularly agentic AI models like Claude — is rising faster than the return on investment (ROI) for the firms using AI. In simplest terms, tokens are the total input-output measurement of computing required to answer your queries, prompts, or chats with an AI interface. OpenAI CEO Sam Altman has admitted that the “job apocalypse” that he and many other AI advocates predicted is not happening as fast as he thought. Why is AI still not able to bring the expected rewards for companies that adopted it? Why are firms like Starbucks re-hiring humans after having adopted or integrated AI into their workflows? AI adoption meets reality After a couple of years of hype, enterprise AI adoption is entering a more sceptical and realistic phase. Companies that adopted AI saw an explosion in token consumption, the main criterion used by AI tools for billing. But firms like Uber are now realising that this is not translating into productivity gains, shipped features, or workforce reductions. Some are now asking the question: Is AI spending economically justified as a cost-cutting and productivity-increasing measure? Some are realising that the “AI apocalypse” may arrive much before the long-predicted jobs apocalypse, because AI stocks could fall if adoption is not in tandem with the billions of dollars spent on computing power to answer user queries. Uber president’s warning: Astronomical token growth meets unclear business value Uber President and COO Andrew Macdonald recently said AI investments are becoming “harder to justify”, as companies cannot yet connect rising AI usage to concrete business outcomes. Speaking on the Rapid Response podcast, Macdonald talked of a widening gap between AI-assisted coding activity and actual delivered value. “You talk to your senior engineering leaders, and you’re saying, ‘Okay, how many projects that were on the cutting room floor got moved above the line because of the productivity gains, because 25 per cent of our code commits were via Claude Code last quarter?’ That link is not there yet,” he said. “If you’re not actually able to draw a direct line to how much useful features and functionality you’re shipping to your users, that trade becomes harder to justify.” Macdonald noted that token usage and AI-generated code commits are going up “in a really astronomical direction”. Yet Uber still struggles to tie those metrics to measurable gains in productivity, feature delivery, or user outcomes, he said. Firms are burning through their AI budgets but have little to show for productivity or cost gains Uber reportedly exhausted its entire 2026 AI coding tools budget within roughly four months because of extremely high employee adoption — around 95 per cent in some teams. This means that, when given a chance, employees would use AI for most of their tasks, driving up the costs. In Uber’s case, the AI budget costs were partially offset by reduced hiring of humans. Macdonald’s reality check came weeks after his own company’s CEO, Dara Khosrowshahi, talked of AI as a way to dramatically increase throughput. Uber was targeting between 20 and 100 per cent productivity gains per employee while slowing down hiring. But that doesn't seem to be happening. The basic problem with enterprise AI: Usage is easy to measure, but value gains are not Macdonald’s remarks are an example of growing doubts across several AI-user industries about whether spending on AI is generating returns on investment fast enough. AI coding tools are usage-based systems where costs rise as usage increases. Those using AI — such as developers — consume more tokens very quickly. AI token costing is different from traditional software licences. The costs can rise exponentially, particularly with agentic workflows and large-context usage. Companies can easily measure and track token counts, code generation volume, AI-assisted commits, or tool adoption rates. But in many cases, this is not going hand in hand with increases in shipped features, faster delivery cycles, better products, or higher revenue. Some firms are moving from ‘AI pilot project’ hype to more disciplined use of AI: Enter the token throttling era Several enterprises expected that AI would help cut down large engineering teams while producing equal or greater output, but they are unable to prove this in real life. The causes are many: AI integration challenges, organisational friction, and quality issues that require human testing, monitoring, and control. Reports indicate that some of these companies are now transitioning from the exuberant “pilot and hype” phase of AI adoption to a more financially disciplined era focused on accountability. Both AI providers and companies that adopt AI are increasingly relying on “token throttling”: methods by which caps are introduced on how many tokens users or teams can consume within specific time windows. AI providers such as Anthropic and OpenAI use throttling to manage GPU capacity and stabilise services in order to limit queues and “Too Many Requests” errors. They are trying to ensure fair access and control compute costs. Limits include tokens-per-minute caps, rolling usage windows, weekly caps, and peak-hour restrictions. On the other hand, companies using AI tools are also implementing their own throttling systems and governance policies to prevent uncontrolled spending from heavy users or autonomous coding agents. These controls reflect how quickly costs can spiral in AI workflows, particularly agentic coding systems that repeatedly process large codebases and contexts. How much are companies spending on AI tokens? It depends on usage intensity, which AI models are used, and how much automation is introduced using AI. Anthropic, the firm behind Claude, estimates that average Claude Code usage costs roughly $6 per active developer per day. It said that 90 per cent of users stay below $12 daily. This translates to approximately $100–$250 per developer per month for moderate-to-heavy usage. For context, Anthropic’s enterprise plans roughly cost $200 for coding workflows of power users, around $85 for typical users, and $25 for light users per month. But all this depends on a specific company’s usage patterns. One company with 100 engineers might spend only about $2,500 monthly overall, while extreme outliers can consume $500–$1,400 worth of tokens in a single day when running agentic workflows with massive contexts. Some startups have reportedly seen AI spending grow 15 times within months, jumping from roughly $200 per developer monthly to nearly $3,000 as adoption deepened and workflows became more AI-dependent. This is why human governance, throttling, and budget controls are becoming standard enterprise practices. Claude vs OpenAI: The pricing arms race Token costs are central to enterprise budgeting for AI adoption. In flagship models, Anthropic’s Claude Opus 4.7 charges approximately $5 per million input tokens and $25 per million output tokens. Note that one million input tokens are roughly equal to 750,000 words. Output tokens are charged at a higher rate than input tokens. OpenAI’s GPT-5.5 is priced at around $5 input and $30 output. Anthropic is therefore slightly cheaper for high-end, output-heavy workloads. Most coding and production use of AI is happening in the mid-tier market. Here, OpenAI is generally cheaper. Claude Sonnet 4.6 costs roughly $3 input and $15 output per million tokens, while OpenAI’s GPT-5.4 costs about $2.50 input and $15 output. OpenAI’s GPT-5.4 Mini is significantly cheaper at $0.75 input and $4.50 output. At the budget tier, OpenAI has a stronger cost advantage. GPT-5.4 Nano costs around $0.20 input and $1.25 output per million tokens, while Claude Haiku 4.5 costs roughly $1 input and $5 output. But remember, you get what you pay for. https://www.wionews.com/videos/us-iran-war-military-operations-used-anthropic-ai-despite-white-house-ban-1772367271311/embed Enterprises are rethinking AI deployment versus human engineers It is emerging that heavy AI coding usage could end up costing more than simply paying human engineers. Businesses are looking at cost-cutting methods while adopting AI. They often mix AI providers depending on the workload. Claude is popular for coding, reasoning, and long-context tasks despite higher costs, while OpenAI is frequently favoured for broader cost efficiency. Regardless of the AI provider, real-world developer costs commonly remain in the $100 to $400 monthly range for serious AI-assisted engineering work. The cost differential is leading some companies to mix and match AI and humans. Microsoft, which gave thousands of engineers access to Anthropic’s Claude Code in late 2025, saw AI usage costs rise so sharply that it started cancelling many direct Claude licences in divisions like Experiences & Devices. The company is shifting employees towards its own cheaper tool, GitHub Copilot CLI, mainly to control token spending. Starbucks, which rolled out its AI inventory system called “Automated Counting” across North American stores to reduce manual work and improve efficiency, had to shut it down after nine months. The AI system frequently made mistakes, often miscounting or mislabelling items like milk and syrups, forcing employees to spend extra time double-checking inventory manually. In this case, instead of saving labour, the AI tool created additional work and operational problems. Starbucks has since shifted focus back towards consistency and human staffing, including hiring more baristas. Companies like Meta and Amazon encouraged heavy internal AI use, but are finding out now that newer agentic AI systems consume vastly more computing power than normal chatbot use. In some cases, agentic workflows can use up to 1,000 times more tokens than standard AI queries, leading to increase in AI bills faster than companies can measure real productivity gains. A reality check from OpenAI CEO: Sam Altman admits the jobs apocalypse hasn’t arrived It is in this context that we have to read Sam Altman’s recent comments acknowledging that AI has displaced far fewer jobs than he and other AI evangelists expected just one or two years ago. The OpenAI CEO said at the Commonwealth Bank of Australia conference that he was “delighted to be wrong” about the pace of white-collar job elimination. “I thought there would have been more impact on entry-level white-collar jobs being eliminated by now than has actually happened.” He said OpenAI had been “roughly right” about technological progress, but “pretty wrong” about the social and economic implications. “I don’t think we’re going to have the kind of jobs apocalypse that some of the companies in our space advocate or talk about.” Also read: Anthropic blocks entire company out of Claude without a reasonable explanation Why AI adoption isn’t translating into mass job cuts Altman thinks the slower-than-expected displacement is due to the enduring importance of human interaction, organisational inertia, and the complexities of AI integration into workflows. Acknowledging the persistent “human part” of work, he said, “We really do care about our interactions with people.” People still value trust, judgement, relationships, and authentic communication, he noted, while sharing how his own attempts to outsource his email and Slack communications to AI made him realise that meaningful interactions could not simply be automated away. Why enterprises will move only slowly on AI adoption Even when AI systems are technically far more capable, organisations face institutional friction, risk aversion, AI integration challenges, oversight requirements, and structural complexity that delay real transformation. This leads to a paradoxical situation: AI adoption and token usage are growing extremely quickly, but businesses are struggling to convert that activity into measurable reductions in headcount, faster shipping cycles, or clear bottom-line improvements. This is why some firms are moving from an “AI experimentation” phase to a “scrutiny and governance” phase, where spending controls, throttling, ROI measurement, and human oversight are becoming central priorities. Also read: ‘10,000 bugs in a month’: How Anthropic’s AI is changing cybersecurity AI washing and re-hiring of humans: How organisational reality is outpacing AI hype From the point of view of these companies, the economic and organisational limits of AI adoption are arriving faster than mass labour displacement. There are two things happening. One is “AI washing”, where layoffs are blamed on AI, but the real causes are elsewhere. The second is re-hiring after premature job cuts. These two aspects are creating scepticism about exaggerated AI automation narratives. There is no doubt that AI is improving productivity in targeted workflows. But these gains often lead companies to pursue more ambitious goals rather than simply reduce staff. AI-led efficiency increases total consumption instead of lowering it, and it creates the need to increase AI budgets. A more sober consensus appears to be emerging in at least some companies that, while AI capability is advancing rapidly, organisational absorption is much slower. For now, the immediate crisis for many enterprises is not mass unemployment — it is runaway AI spending without clear accountability. Big Tech companies like Microsoft, Meta, Google-Alphabet, and Amazon are pumping massive capital expenditure into AI infrastructure, estimated to total up to $700 billion. But investors and executives are seeking clearer monetisation and productivity links. The AI apocalypse, financially speaking, may arrive before the jobs apocalypse if and when AI provider companies fail to scale adoption in tandem with the computing costs involved in answering queries.

<p>Companies adopting AI are facing soaring token costs, unclear ROI, and slower-than-expected job cuts. Firms like Uber, Microsoft, and Starbucks are rethinking the balance between AI spending and human staffing. Is the AI vs human labour hype already over?</p>

AI adoption is not leading to a job apocalypse or saving many firms real money. Make haste slowly? A reality check

<p>Alibaba has launched its latest artificial intelligence model, Qwen3.7-Max, claiming the system outperformed several competing AI models from OpenAI and Google in coding benchmarks. According to Alibaba, the model is designed to function as an autonomous coding agent capable of handling long and complex software tasks with limited human input.</p><p>The launch highlights China’s growing push to compete with US companies in advanced AI development, especially in the rapidly expanding field of AI coding systems. Chinese technology firms are increasingly investing in models that can operate more independently and perform tasks traditionally handled by software engineers.</p><h2><strong>What is Qwen3.7-Max?</strong></h2><p>Unlike standard AI chatbots that mainly answer questions or generate text, Qwen3.7-Max has been designed specifically for “agent-based” coding tasks. This means the model can independently manage workflows, interact with software tools and continue working across long sessions without constant user instructions.</p><p><strong>Alibaba says the AI can:</strong></p><p>Build front-end software prototypes</p><p>Manage large multi-file coding projects</p><p>Automate office workflows</p><p>Use external tools independently</p><p>The company claims the model can operate autonomously for up to 35 hours continuously and reportedly perform more than 1,000 software tool interactions during a single session.</p><h2><strong>How Alibaba says the AI performed</strong></h2><p>According to Alibaba, Qwen3.7-Max currently ranks fourth globally on the Code Arena benchmark leaderboard with a score of 1,541. The company says the ranking places the model ahead of some versions of ChatGPT and Gemini in coding-related tasks. Only models from Anthropic reportedly scored higher in the rankings. Alibaba researchers also described an internal experiment where the AI was asked to optimise software for one of the company’s own AI chips. The company claims the model worked continuously for around 35 hours, performing:</p><p>432 kernel tests<br>More than 1,100 software tool calls<br>Repeated compiling and rewriting of code</p><p>According to Alibaba, the AI achieved a tenfold performance improvement over the original implementation despite not being trained on that chip architecture previously.</p><h2><strong>China’s growing competition with US AI firms</strong></h2><p>The launch comes at a time when companies such as OpenAI, Google and Anthropic continue to dominate advanced AI development globally. However, Chinese firms are increasingly trying to compete, particularly in the field of autonomous coding agents. Analysts say AI coding systems are becoming one of the most important areas in artificial intelligence because they can potentially automate software development tasks and improve productivity for businesses. Alibaba stated that Qwen3.7-Max supports interfaces compatible with OpenAI and Anthropic systems and can work alongside tools such as Claude Code, OpenClaw and Qwen Code.</p><h2><strong>Shift from open-source to proprietary models</strong></h2><p>The launch also marks a strategic shift for Alibaba. Earlier versions of Qwen were released as open-source models, allowing developers to access and modify them freely. However, the new Qwen3.7-Max is proprietary and available only through Alibaba Cloud’s Model Studio API. Industry experts believe this reflects a wider industry trend where companies are moving towards commercial AI platforms as development costs continue to rise.</p><p>&nbsp;</p><h2>Benchmark claims still await independent review</h2><p>Alibaba said Qwen3.7-Max performed strongly across several coding and reasoning benchmarks and came close to Anthropic’s Claude Opus 4.6 Max in multiple tests. However, many of these benchmark results were self-reported by the company.&nbsp;</p><p>&nbsp;</p><p>The launch of Qwen3.7-Max shows how competition in the global AI race is accelerating. Companies are now moving beyond simple chatbots and focusing on systems that can independently perform complex tasks over extended periods. As AI coding tools continue improving, analysts believe the technology could significantly change software development, engineering workflows and enterprise automation in the coming years.</p>

Alibaba has launched its latest artificial intelligence model, Qwen3.7-Max, claiming the system outperformed several competing AI models from OpenAI and Google in coding benchmarks. 

Alibaba has launched its latest artificial intelligence model, Qwen3.7-Max, claiming the system outperformed several competing AI models from OpenAI and Google in coding benchmarks. According to Alibaba, the model is designed to function as an autonomous coding agent capable of handling long and complex software tasks with limited human input. The launch highlights China’s growing push to compete with US companies in advanced AI development, especially in the rapidly expanding field of AI coding systems. Chinese technology firms are increasingly investing in models that can operate more independently and perform tasks traditionally handled by software engineers. What is Qwen3.7-Max? Unlike standard AI chatbots that mainly answer questions or generate text, Qwen3.7-Max has been designed specifically for “agent-based” coding tasks. This means the model can independently manage workflows, interact with software tools and continue working across long sessions without constant user instructions. Alibaba says the AI can: Build front-end software prototypes Manage large multi-file coding projects Automate office workflows Use external tools independently The company claims the model can operate autonomously for up to 35 hours continuously and reportedly perform more than 1,000 software tool interactions during a single session. How Alibaba says the AI performed According to Alibaba, Qwen3.7-Max currently ranks fourth globally on the Code Arena benchmark leaderboard with a score of 1,541. The company says the ranking places the model ahead of some versions of ChatGPT and Gemini in coding-related tasks. Only models from Anthropic reportedly scored higher in the rankings. Alibaba researchers also described an internal experiment where the AI was asked to optimise software for one of the company’s own AI chips. The company claims the model worked continuously for around 35 hours, performing: 432 kernel tests More than 1,100 software tool calls Repeated compiling and rewriting of code According to Alibaba, the AI achieved a tenfold performance improvement over the original implementation despite not being trained on that chip architecture previously. China’s growing competition with US AI firms The launch comes at a time when companies such as OpenAI, Google and Anthropic continue to dominate advanced AI development globally. However, Chinese firms are increasingly trying to compete, particularly in the field of autonomous coding agents. Analysts say AI coding systems are becoming one of the most important areas in artificial intelligence because they can potentially automate software development tasks and improve productivity for businesses. Alibaba stated that Qwen3.7-Max supports interfaces compatible with OpenAI and Anthropic systems and can work alongside tools such as Claude Code, OpenClaw and Qwen Code. Shift from open-source to proprietary models The launch also marks a strategic shift for Alibaba. Earlier versions of Qwen were released as open-source models, allowing developers to access and modify them freely. However, the new Qwen3.7-Max is proprietary and available only through Alibaba Cloud’s Model Studio API. Industry experts believe this reflects a wider industry trend where companies are moving towards commercial AI platforms as development costs continue to rise. Benchmark claims still await independent review Alibaba said Qwen3.7-Max performed strongly across several coding and reasoning benchmarks and came close to Anthropic’s Claude Opus 4.6 Max in multiple tests. However, many of these benchmark results were self-reported by the company. The launch of Qwen3.7-Max shows how competition in the global AI race is accelerating. Companies are now moving beyond simple chatbots and focusing on systems that can independently perform complex tasks over extended periods. As AI coding tools continue improving, analysts believe the technology could significantly change software development, engineering workflows and enterprise automation in the coming years.

<p>Alibaba has launched its latest artificial intelligence model, Qwen3.7-Max, claiming the system outperformed several competing AI models from OpenAI and Google in coding benchmarks.&nbsp;</p>

Alibaba claims its new Qwen AI model outperformed ChatGPT and Gemini in coding tests

<p>Artificial intelligence is reshaping the global technology industry, with many companies reducing jobs as they invest more heavily in automation and AI systems. However, amid this wave of layoffs, cybersecurity has emerged as one of the fastest-growing hiring sectors as organisations rush to protect themselves against increasingly advanced cyber threats.&nbsp;<br><br>Major technology companies including Microsoft, Amazon and Oracle have all linked parts of their recent workforce reductions to AI-driven restructuring and automation strategies. Reports indicate that thousands of jobs have been affected globally as firms shift more resources towards AI infrastructure, cloud computing and automation tools. More recently, Meta reportedly cut around 8,000 jobs as part of its broader AI-focused restructuring plans.</p><h2><strong>Cybersecurity hiring rises as AI threats grow</strong></h2><p>At the same time, demand for cybersecurity professionals is increasing rapidly. According to a report by The New York Times, recruiters are struggling to find enough cybersecurity experts to fill rising numbers of vacancies. Analysts say the surge is directly linked to growing fears around AI-powered cyberattacks and digital vulnerabilities. One of the biggest concerns is that advanced AI models can now identify software vulnerabilities far faster than traditional security systems. AI systems such as Anthropic’s Claude Mythos have reportedly demonstrated the ability to detect thousands of weaknesses in software within a short period of time. While such tools can help companies improve security, experts warn that attackers may also use similar AI systems to identify flaws in critical infrastructure, banking systems and enterprise software at unprecedented speed. Governments, regulators, banks and major corporations are therefore increasing cybersecurity investments to prepare for these emerging risks. Reports suggest that India’s leading banks, government departments and IT firms have already begun stress-testing important systems amid concerns around AI-assisted cyber threats.</p><h2><strong>AI tools are helping hackers and defenders alike</strong></h2><p>Despite rapid progress in AI, cybersecurity researchers say human expertise remains essential. AI systems may help detect bugs or automate parts of security analysis, but experienced professionals are still needed to understand how attacks function in real-world environments. One recent example involved a cybersecurity startup using an AI system to help develop an exploit targeting Apple’s new chip protection technology. Researchers said the AI accelerated the process, but human specialists were still required to understand and bypass the security system effectively. Experts say this highlights an important shift in cybersecurity. AI is becoming a tool that can help both defenders and attackers, increasing the need for skilled professionals who can respond to fast-changing threats.</p><h2><strong>‘Vibe coding’ creating new security concerns</strong></h2><p>Another major factor driving cybersecurity hiring is the rapid rise of AI-assisted software development, often called “vibe coding”. According to a recent Wired report, nearly 40 per cent of applications developed with AI coding assistance exposed sensitive information, including financial records, medical data, internal company documents and chatbot conversations. Security experts believe many developers are now launching software faster with AI tools but without proper security testing, creating more opportunities for cyberattacks. As more businesses adopt AI coding systems, demand for cybersecurity professionals is rising to identify and fix vulnerabilities before attackers can exploit them.</p><h2><strong>Some experts question AI-linked layoffs</strong></h2><p><br>While AI continues to be cited as a reason for layoffs, some industry leaders believe companies may also be using AI as a convenient explanation for broader cost-cutting measures. Sridhar Vembu has repeatedly questioned the current AI hype cycle, arguing that productivity improvements from AI are still limited in many areas. According to him, some firms may be blaming AI for layoffs that are actually driven by economic pressure and investor expectations rather than direct automation.</p><h2><strong>What this means for tech jobs</strong></h2><p>The overall trend highlights how the technology job market is changing. While automation is reducing demand for some traditional roles, cybersecurity jobs are becoming increasingly important as AI expands both opportunities and risks in the digital world.</p><p>Experts believe demand for:</p><p>Security analysts</p><p>Ethical hackers</p><p>Cyber defence specialists</p><p>Infrastructure protection experts</p><p>will continue to rise as organisations increase spending on digital protection.</p><p>What happens next</p><p>As AI systems become more advanced, companies are expected to invest even more in cybersecurity to protect critical infrastructure and sensitive data. The development highlights a growing reality in the technology sector: while AI may reduce certain jobs, it is also creating urgent demand in areas where human judgement, security expertise and risk management remain essential.</p>

Artificial intelligence is reshaping the global technology industry, with many companies reducing jobs as they invest more heavily in automation and AI systems. However, amid this wave of layoffs, cybersecurity has emerged as one of the fastest-growing hiring sectors.


Artificial intelligence is reshaping the global technology industry, with many companies reducing jobs as they invest more heavily in automation and AI systems. However, amid this wave of layoffs, cybersecurity has emerged as one of the fastest-growing hiring sectors as organisations rush to protect themselves against increasingly advanced cyber threats. Major technology companies including Microsoft, Amazon and Oracle have all linked parts of their recent workforce reductions to AI-driven restructuring and automation strategies. Reports indicate that thousands of jobs have been affected globally as firms shift more resources towards AI infrastructure, cloud computing and automation tools. More recently, Meta reportedly cut around 8,000 jobs as part of its broader AI-focused restructuring plans. Cybersecurity hiring rises as AI threats grow At the same time, demand for cybersecurity professionals is increasing rapidly. According to a report by The New York Times, recruiters are struggling to find enough cybersecurity experts to fill rising numbers of vacancies. Analysts say the surge is directly linked to growing fears around AI-powered cyberattacks and digital vulnerabilities. One of the biggest concerns is that advanced AI models can now identify software vulnerabilities far faster than traditional security systems. AI systems such as Anthropic’s Claude Mythos have reportedly demonstrated the ability to detect thousands of weaknesses in software within a short period of time. While such tools can help companies improve security, experts warn that attackers may also use similar AI systems to identify flaws in critical infrastructure, banking systems and enterprise software at unprecedented speed. Governments, regulators, banks and major corporations are therefore increasing cybersecurity investments to prepare for these emerging risks. Reports suggest that India’s leading banks, government departments and IT firms have already begun stress-testing important systems amid concerns around AI-assisted cyber threats. AI tools are helping hackers and defenders alike Despite rapid progress in AI, cybersecurity researchers say human expertise remains essential. AI systems may help detect bugs or automate parts of security analysis, but experienced professionals are still needed to understand how attacks function in real-world environments. One recent example involved a cybersecurity startup using an AI system to help develop an exploit targeting Apple’s new chip protection technology. Researchers said the AI accelerated the process, but human specialists were still required to understand and bypass the security system effectively. Experts say this highlights an important shift in cybersecurity. AI is becoming a tool that can help both defenders and attackers, increasing the need for skilled professionals who can respond to fast-changing threats. ‘Vibe coding’ creating new security concerns Another major factor driving cybersecurity hiring is the rapid rise of AI-assisted software development, often called “vibe coding”. According to a recent Wired report, nearly 40 per cent of applications developed with AI coding assistance exposed sensitive information, including financial records, medical data, internal company documents and chatbot conversations. Security experts believe many developers are now launching software faster with AI tools but without proper security testing, creating more opportunities for cyberattacks. As more businesses adopt AI coding systems, demand for cybersecurity professionals is rising to identify and fix vulnerabilities before attackers can exploit them. Some experts question AI-linked layoffs While AI continues to be cited as a reason for layoffs, some industry leaders believe companies may also be using AI as a convenient explanation for broader cost-cutting measures. Sridhar Vembu has repeatedly questioned the current AI hype cycle, arguing that productivity improvements from AI are still limited in many areas. According to him, some firms may be blaming AI for layoffs that are actually driven by economic pressure and investor expectations rather than direct automation. What this means for tech jobs The overall trend highlights how the technology job market is changing. While automation is reducing demand for some traditional roles, cybersecurity jobs are becoming increasingly important as AI expands both opportunities and risks in the digital world. Experts believe demand for: Security analysts Ethical hackers Cyber defence specialists Infrastructure protection experts will continue to rise as organisations increase spending on digital protection. What happens next As AI systems become more advanced, companies are expected to invest even more in cybersecurity to protect critical infrastructure and sensitive data. The development highlights a growing reality in the technology sector: while AI may reduce certain jobs, it is also creating urgent demand in areas where human judgement, security expertise and risk management remain essential.

<p>Artificial intelligence is reshaping the global technology industry, with many companies reducing jobs as they invest more heavily in automation and AI systems. However, amid this wave of layoffs, cybersecurity has emerged as one of the fastest-growing hiring sectors.</p>

‘AI and layoffs’: Why cybersecurity experts are now in high demand

<p>A proposed Canadian online safety law has triggered a growing confrontation between the government and major technology firms, with Apple, Google, Alphabet and encrypted messaging platform Signal warning that the legislation could weaken digital security and undermine user privacy. Bill C-22 which was introduced by Prime Minister Mark Carney’s Liberal government, is currently being debated in Canada’s parliament. The legislation aims to modernise how law enforcement agencies investigate cybercrime, terrorism and national security threats by expanding access to digital communications and user data. It expand the powers of Canadian law enforcement agencies to access digital information during cyber and national security investigations.</p><p>&nbsp;</p><p>At the centre of the dispute is encryption, the technology that protects messages, files and cloud data from unauthorised access. End-to-end encryption ensures that only the sender and recipient can read the data, meaning even technology companies themselves cannot access it. Canadian authorities insist the bill is ‘encryption neutral’ and necessary to investigate serious crimes and national security threats more efficiently. However, tech giants argue the legislation could effectively compel firms to create covert ‘backdoors’ into their systems. The firms are now seeking to include judicial oversight and stronger protections for encryption.</p><h2>What Bill C-22 Would Allow</h2><p>The bill would require ‘core’ telecommunications and digital service providers to build technical capabilities enabling law enforcement agencies to obtain access to information. It would also mandate the retention of user metadata for up to one year.</p><p>&nbsp;</p><p><strong>ALSO READ: </strong><a href="https://www.wionews.com/trending/why-are-thousands-of-young-chinese-applying-for-shepherd-jobs-viral-ad-exposes-labour-market-strains-1779884435095">Why are thousands of young Chinese applying for shepherd jobs? Viral ad exposes labour market strains</a></p><p>&nbsp;</p><p>One of the most contentious provisions concerns ministerial powers. Under Bill C-22, the federal government could issue orders to companies requiring compliance measures without prior judicial approval. Technology firms argue this creates the possibility of secret orders to build a backdoor into their services or ​devices without disclosing that backdoor to users or the public.</p><p>&nbsp;</p><p>Jeanette Patell, Google Canada’s director of government affairs and public policy, told the House of Commons public safety committee that the proposed powers “could give the government the power to secretly force companies to redesign products, to include invasive surveillance capabilities, and to do so without sufficient safeguards or oversight”.</p><p>She added that “ministerial orders are not only alarming, but also unnecessary”, arguing Canada already possesses a transparent court-supervised system for lawful access requests.</p><h2>Why Apple and Google Say Encryption Is at Risk</h2><p>Apple and Google maintain that no secure method exists to create access points solely for governments while preventing exploitation by malicious actors. “Speaking as an engineer, we do not know of a way to deploy encryption technology that provides access only for the good guys without creating new ways for the bad guys to break in,” Apple’s senior director of user privacy and child safety, Erik Neuenschwander, told MPs. “In other words, when you build a backdoor into an encrypted device, anyone can walk through.”</p><p>&nbsp;</p><p><strong>ALSO READ: </strong><a href="https://www.wionews.com/world/oil-spikes-airlines-stumble-ai-stocks-soar-the-sectors-gaining-and-losing-most-from-the-iran-war-1779877830509">Oil spikes, airlines stumble, AI stocks soar: The sectors gaining and losing most from the Iran war</a></p><p>&nbsp;</p><p>Neuenschwander pointed to the 2024 Salt Typhoon cyberattack on US government systems, which allegedly exploited lawful access infrastructure. “That law was narrower than Bill C-22,” he warned. “So imagine what could happen if more companies were required to create these vulnerabilities.” Google similarly warned that the legislation “goes well beyond lawful access regimes in other G7 democracies” and risks undermining user trust and privacy protections.</p><h2>Signal Threatens to Leave Canada</h2><p>Signal, widely regarded as one of the world’s most secure messaging services, has gone further. Udbhav Tiwari, the company’s vice-president of strategy and global affairs, told The Globe and Mail that Signal “would rather pull out of the country than be compelled to compromise on the privacy promises we have made to our users”. The company fears the legislation could ultimately force encrypted services either to weaken security protections or withdraw entirely from the Canadian market.</p><p>&nbsp;</p><p>Apple has already faced a similar confrontation in Britain. Last year, after receiving a secret government demand for access to encrypted cloud-stored data, the company withdrew certain encrypted cloud backup features from the UK market rather than alter its security architecture.</p><p>&nbsp;</p><p><strong>ALSO READ: </strong><a href="https://www.wionews.com/science/ai-beats-human-forecasters-in-tournament-predicting-outcomes-for-30-tech-ventures-1779875686948">AI beats human forecasters in tournament predicting fate of 30 technology startups</a></p><h2>Part of a Wider Global Debate</h2><p>Canada’s bill mirrors measures introduced elsewhere. Australia enacted laws compelling technology firms to assist authorities in accessing encrypted communications, while Britain’s Investigatory Powers framework has repeatedly drawn criticism from privacy advocates and technology companies.</p><p>&nbsp;</p><p>The controversy has now crossed into the United States. US House Chairs Jim Jordan and Brian Mast sent an official letter to Canada’s Minister of Public Safety expressing severe concerns over Canada's proposed cybersecurity legislation, Bill C-22. The letter, sent by the House Judiciary and Foreign Affairs committees, warned that Bill C-22 could “drastically expand Canada’s surveillance and data access powers” and create “significant cross-border risks to the security and data privacy of Americans”.</p><p>&nbsp;</p><p>The clash over Bill C-22 ultimately reflects a broader international struggle: how democracies balance national security and criminal investigations with the integrity of digital privacy and encrypted communications. For governments, encrypted platforms can obstruct investigations. For technology companies, any deliberate vulnerability risks becoming a gateway not only for law enforcement, but also for hackers, cybercriminals and hostile states.</p><p>&nbsp;</p>

The legislation aims to modernise how law enforcement agencies investigate cybercrime, terrorism and national security threats by expanding access to digital communications and user data.

A proposed Canadian online safety law has triggered a growing confrontation between the government and major technology firms, with Apple, Google, Alphabet and encrypted messaging platform Signal warning that the legislation could weaken digital security and undermine user privacy. Bill C-22 which was introduced by Prime Minister Mark Carney’s Liberal government, is currently being debated in Canada’s parliament. The legislation aims to modernise how law enforcement agencies investigate cybercrime, terrorism and national security threats by expanding access to digital communications and user data. It expand the powers of Canadian law enforcement agencies to access digital information during cyber and national security investigations. At the centre of the dispute is encryption, the technology that protects messages, files and cloud data from unauthorised access. End-to-end encryption ensures that only the sender and recipient can read the data, meaning even technology companies themselves cannot access it. Canadian authorities insist the bill is ‘encryption neutral’ and necessary to investigate serious crimes and national security threats more efficiently. However, tech giants argue the legislation could effectively compel firms to create covert ‘backdoors’ into their systems. The firms are now seeking to include judicial oversight and stronger protections for encryption. What Bill C-22 Would Allow The bill would require ‘core’ telecommunications and digital service providers to build technical capabilities enabling law enforcement agencies to obtain access to information. It would also mandate the retention of user metadata for up to one year. ALSO READ: Why are thousands of young Chinese applying for shepherd jobs? Viral ad exposes labour market strains One of the most contentious provisions concerns ministerial powers. Under Bill C-22, the federal government could issue orders to companies requiring compliance measures without prior judicial approval. Technology firms argue this creates the possibility of secret orders to build a backdoor into their services or devices without disclosing that backdoor to users or the public. Jeanette Patell, Google Canada’s director of government affairs and public policy, told the House of Commons public safety committee that the proposed powers “could give the government the power to secretly force companies to redesign products, to include invasive surveillance capabilities, and to do so without sufficient safeguards or oversight”. She added that “ministerial orders are not only alarming, but also unnecessary”, arguing Canada already possesses a transparent court-supervised system for lawful access requests. Why Apple and Google Say Encryption Is at Risk Apple and Google maintain that no secure method exists to create access points solely for governments while preventing exploitation by malicious actors. “Speaking as an engineer, we do not know of a way to deploy encryption technology that provides access only for the good guys without creating new ways for the bad guys to break in,” Apple’s senior director of user privacy and child safety, Erik Neuenschwander, told MPs. “In other words, when you build a backdoor into an encrypted device, anyone can walk through.” ALSO READ: Oil spikes, airlines stumble, AI stocks soar: The sectors gaining and losing most from the Iran war Neuenschwander pointed to the 2024 Salt Typhoon cyberattack on US government systems, which allegedly exploited lawful access infrastructure. “That law was narrower than Bill C-22,” he warned. “So imagine what could happen if more companies were required to create these vulnerabilities.” Google similarly warned that the legislation “goes well beyond lawful access regimes in other G7 democracies” and risks undermining user trust and privacy protections. Signal Threatens to Leave Canada Signal, widely regarded as one of the world’s most secure messaging services, has gone further. Udbhav Tiwari, the company’s vice-president of strategy and global affairs, told The Globe and Mail that Signal “would rather pull out of the country than be compelled to compromise on the privacy promises we have made to our users”. The company fears the legislation could ultimately force encrypted services either to weaken security protections or withdraw entirely from the Canadian market. Apple has already faced a similar confrontation in Britain. Last year, after receiving a secret government demand for access to encrypted cloud-stored data, the company withdrew certain encrypted cloud backup features from the UK market rather than alter its security architecture. ALSO READ: AI beats human forecasters in tournament predicting fate of 30 technology startups Part of a Wider Global Debate Canada’s bill mirrors measures introduced elsewhere. Australia enacted laws compelling technology firms to assist authorities in accessing encrypted communications, while Britain’s Investigatory Powers framework has repeatedly drawn criticism from privacy advocates and technology companies. The controversy has now crossed into the United States. US House Chairs Jim Jordan and Brian Mast sent an official letter to Canada’s Minister of Public Safety expressing severe concerns over Canada's proposed cybersecurity legislation, Bill C-22. The letter, sent by the House Judiciary and Foreign Affairs committees, warned that Bill C-22 could “drastically expand Canada’s surveillance and data access powers” and create “significant cross-border risks to the security and data privacy of Americans”. The clash over Bill C-22 ultimately reflects a broader international struggle: how democracies balance national security and criminal investigations with the integrity of digital privacy and encrypted communications. For governments, encrypted platforms can obstruct investigations. For technology companies, any deliberate vulnerability risks becoming a gateway not only for law enforcement, but also for hackers, cybercriminals and hostile states.

<p>The legislation aims to modernise how law enforcement agencies investigate cybercrime, terrorism and national security threats by expanding access to digital communications and user data.</p>

What is Canada’s online safety bill? Why tech giants like Apple & Google oppose it, what it means for user privacy | WION Decodes

<p>Artificial intelligence has outperformed human forecasters in a live business prediction tournament involving 30 technology ventures, according to research led by the University of Michigan’s Ross School of Business. The findings suggest that AI systems are now moving beyond data processing tasks into areas long considered dependent on human intuition and strategic judgement.</p><p>&nbsp;</p><p>The study tested whether large language models (LLMs) could accurately predict the fundraising success of real-world technology startups. Researchers evaluated 30 US-based crowdfunding ventures launched after the AI models’ training cut-off dates, ensuring the systems had no prior knowledge of the projects. The experiment involved 870 pairwise comparisons conducted by several frontier AI models and benchmarked against predictions made by 346 managers and three MBA-trained investors.</p><p>&nbsp;</p><p><strong>ALSO READ: </strong><a href="https://www.wionews.com/world/why-trump-s-abraham-accords-push-is-a-non-starter-and-what-s-driving-it-1779805064408"><strong>Why Trump’s Abraham Accords push is a non-starter and what’s driving it?</strong></a></p><p>&nbsp;</p><p>The strongest-performing system, Gemini 2.5 Pro, achieved a correlation score of 0.74, correctly ranking nearly four out of five venture pairs. Human participants, by comparison, managed accuracy rates ranging between 0.04 and 0.45. The findings were published on the arXiv preprint server and reported by Tech Xplore and the University of Michigan.</p><p>&nbsp;</p><h2>Researchers identify an ‘augmentation trap’</h2><h2>&nbsp;</h2><p>The research also found that combining AI and human judgement did not improve forecasting quality. Instead, hybrid decision-making often reduced accuracy, a phenomenon researchers described as the “augmentation trap”.</p><p>&nbsp;</p><p>“In this case, the wisdom-of-the-crowd logic doesn't produce an improvement in accuracy,” said Felipe Csaszar, professor of strategy at the University of Michigan. “If you include a human in the mix, performance decreases.” Researchers concluded that human input introduced inconsistency and noise into forecasts generated by AI systems.</p><p>&nbsp;</p><p><strong>ALSO READ: </strong><a href="https://www.wionews.com/world/hong-kong-dethrones-switzerland-as-global-cross-border-wealth-capital-report-shows-1779867448139"><strong>Hong Kong dethrones Switzerland as global cross-border wealth capital, report shows</strong></a></p><p>&nbsp;</p><p>&nbsp;</p><h2>AI’s advantage lies in scale, memory and reasoning</h2><h2>&nbsp;</h2><p>Csaszar argued that AI’s performance stems from its ability to overcome what economists describe as “bounded rationality”, the limits humans face in time, memory and information processing. “No human has read as much as ChatGPT; no human has as much time to think about each project,” he said. The study also linked forecasting performance to broader reasoning capability, particularly models performing well on advanced knowledge benchmarks such as Humanity’s Last Exam.</p><p>&nbsp;</p><p>The researchers stopped short of calling the development a definitive 'Deep Blue moment' for business strategy. However, Csaszar noted that “what AI can do in strategy has changed,” suggesting that strategic foresight may no longer remain an exclusively human strength.</p>

The study tested whether large language models (LLMs) could accurately predict the fundraising success of real-world technology startups. 

Artificial intelligence has outperformed human forecasters in a live business prediction tournament involving 30 technology ventures, according to research led by the University of Michigan’s Ross School of Business. The findings suggest that AI systems are now moving beyond data processing tasks into areas long considered dependent on human intuition and strategic judgement. The study tested whether large language models (LLMs) could accurately predict the fundraising success of real-world technology startups. Researchers evaluated 30 US-based crowdfunding ventures launched after the AI models’ training cut-off dates, ensuring the systems had no prior knowledge of the projects. The experiment involved 870 pairwise comparisons conducted by several frontier AI models and benchmarked against predictions made by 346 managers and three MBA-trained investors. ALSO READ: Why Trump’s Abraham Accords push is a non-starter and what’s driving it? The strongest-performing system, Gemini 2.5 Pro, achieved a correlation score of 0.74, correctly ranking nearly four out of five venture pairs. Human participants, by comparison, managed accuracy rates ranging between 0.04 and 0.45. The findings were published on the arXiv preprint server and reported by Tech Xplore and the University of Michigan. Researchers identify an ‘augmentation trap’ The research also found that combining AI and human judgement did not improve forecasting quality. Instead, hybrid decision-making often reduced accuracy, a phenomenon researchers described as the “augmentation trap”. “In this case, the wisdom-of-the-crowd logic doesn't produce an improvement in accuracy,” said Felipe Csaszar, professor of strategy at the University of Michigan. “If you include a human in the mix, performance decreases.” Researchers concluded that human input introduced inconsistency and noise into forecasts generated by AI systems. ALSO READ: Hong Kong dethrones Switzerland as global cross-border wealth capital, report shows AI’s advantage lies in scale, memory and reasoning Csaszar argued that AI’s performance stems from its ability to overcome what economists describe as “bounded rationality”, the limits humans face in time, memory and information processing. “No human has read as much as ChatGPT; no human has as much time to think about each project,” he said. The study also linked forecasting performance to broader reasoning capability, particularly models performing well on advanced knowledge benchmarks such as Humanity’s Last Exam. The researchers stopped short of calling the development a definitive 'Deep Blue moment' for business strategy. However, Csaszar noted that “what AI can do in strategy has changed,” suggesting that strategic foresight may no longer remain an exclusively human strength.

<p>The study tested whether large language models (LLMs) could accurately predict the fundraising success of real-world technology startups.</p>

AI beats human forecasters in tournament predicting fate of 30 technology startups

<p>Pope Leo XIV on Monday (May 25) called for the “disarming” of artificial intelligence in his long-awaited first encyclical, Magnifica Humanitas (Magnificent Humanity). Leo, the first US pope, warned against “a race for ever more powerful algorithms and larger datasets, driven by the desire to secure geopolitical or commercial dominance”, comparing the technology race to the biblical builders of the Tower of Babel. What did he mean by that? What is the biblical Tower of Babel? WION Decodes.</p><p><strong>Also read | </strong><a href="https://www.wionews.com/india-news/india-s-students-deserve-better-cockroach-janata-party-revives-petition-targeting-edu-minister-dharmendra-pradhan-neet-2026-paper-leak-1779774614724"><strong>'India’s students deserve better': Cockroach Janata Party revives petition targeting Edu Minister Dharmendra Pradhan</strong></a></p><h2><strong>What did the Pope say?</strong></h2><p>Calling for “robust legal frameworks, independent oversight, informed users and a political system that does not abdicate its responsibility”, Leo invoked the story of the Tower of Babel.</p><p>“With the heart of a shepherd and a father, I ask everyone to abandon the construction of yet another Tower of Babel and to join forces in building up the common good,” wrote Pope Leo. He warned that AI risks reducing humans to merely “cogs”.</p><h2><strong>What is the Tower of Babel?</strong></h2><p>In Christian lore, the Tower of Babel represents a civilisation driven by pride, centralised power and human ambition detached from moral responsibility. The tale from Genesis 11:1-9 in the Hebrew Bible tells the story of a world where everyone spoke the same language and understood one another. However, as time passed and the population grew, humanity migrated eastward until people found a vast, fertile plain in the land of Shinar (Babylonia). There, they decided to settle and build a city.</p><p>They planned to build a tower “that reaches all the way into the heavens!”. This, they said, would help them “make a great name for ourselves, and we will never be scattered or lost across the earth.”</p><p><strong>Also read | </strong><a href="https://www.wionews.com/india-news/green-card-applicants-should-go-home-new-us-citizenship-rule-may-hit-indians-hardest-check-how-you-could-be-affected-1779514161561"><strong>Green card applicants should go home? New US citizenship rule may hit Indians hardest; check how you could be affected</strong></a></p><p>As the story goes, they did not use ordinary stone. Instead, they baked mud into hard clay bricks and used thick black tar for mortar, building the tower higher and higher. Their intense ambition did not go unnoticed, and God descended from heaven to see the tower.</p><p>God realised that the people had been blinded by ambition and pride, and decided to intervene. He confused their speech, making it difficult for them to understand one another. Eventually, unable to communicate, the people scattered across the earth, abandoning the Tower of Babel, which is now known as the symbol of confusion and division.</p>

Why did Pope Leo compare today’s AI race to the biblical Tower of Babel? In his first major message as pope, Leo warned that humanity risks repeating an ancient mistake. So what exactly is the Tower of Babel story? Scroll down to find out.

Pope Leo XIV on Monday (May 25) called for the “disarming” of artificial intelligence in his long-awaited first encyclical, Magnifica Humanitas (Magnificent Humanity). Leo, the first US pope, warned against “a race for ever more powerful algorithms and larger datasets, driven by the desire to secure geopolitical or commercial dominance”, comparing the technology race to the biblical builders of the Tower of Babel. What did he mean by that? What is the biblical Tower of Babel? WION Decodes. Also read | 'India’s students deserve better': Cockroach Janata Party revives petition targeting Edu Minister Dharmendra Pradhan What did the Pope say? Calling for “robust legal frameworks, independent oversight, informed users and a political system that does not abdicate its responsibility”, Leo invoked the story of the Tower of Babel. “With the heart of a shepherd and a father, I ask everyone to abandon the construction of yet another Tower of Babel and to join forces in building up the common good,” wrote Pope Leo. He warned that AI risks reducing humans to merely “cogs”. What is the Tower of Babel? In Christian lore, the Tower of Babel represents a civilisation driven by pride, centralised power and human ambition detached from moral responsibility. The tale from Genesis 11:1-9 in the Hebrew Bible tells the story of a world where everyone spoke the same language and understood one another. However, as time passed and the population grew, humanity migrated eastward until people found a vast, fertile plain in the land of Shinar (Babylonia). There, they decided to settle and build a city. They planned to build a tower “that reaches all the way into the heavens!”. This, they said, would help them “make a great name for ourselves, and we will never be scattered or lost across the earth.” Also read | Green card applicants should go home? New US citizenship rule may hit Indians hardest; check how you could be affected As the story goes, they did not use ordinary stone. Instead, they baked mud into hard clay bricks and used thick black tar for mortar, building the tower higher and higher. Their intense ambition did not go unnoticed, and God descended from heaven to see the tower. God realised that the people had been blinded by ambition and pride, and decided to intervene. He confused their speech, making it difficult for them to understand one another. Eventually, unable to communicate, the people scattered across the earth, abandoning the Tower of Babel, which is now known as the symbol of confusion and division.

<p>Why did Pope Leo compare today’s AI race to the biblical Tower of Babel? In his first major message as pope, Leo warned that humanity risks repeating an ancient mistake. So what exactly is the Tower of Babel story? Scroll down to find out.</p>

Pope Leo warns humanity risks repeating ancient mistake: What is the Tower of Babel and what does it have to do with AI?

<p>Christopher Olah, co-founder of Anthropic, has warned that artificial intelligence could replace human labour on a large scale if its development is not carefully managed. Speaking alongside Pope Leo XIV, Olah said the impact of AI on jobs could be significant, and supporting displaced workers would become a major global responsibility. He noted that if large-scale job losses occur, addressing them would be a “moral imperative of historic proportions.”</p><h2>Risk of large-scale job displacement</h2><p><br>Olah stressed that AI development cannot be left only to technology companies. He said firms like Anthropic operate under commercial, geopolitical and internal pressures that may not always align with broader societal interests. According to him, even well-intentioned researchers are influenced by these forces, which makes external oversight important. He called for stronger involvement from governments, civil society and other institutions to ensure that AI systems are developed responsibly.</p><h2>Global inequality in AI development</h2><p><br>He also raised concerns about the possibility of widespread job displacement. As AI systems improve, they may automate many types of work, reducing the need for human labour across sectors. This could create economic imbalance and increase inequality if proper safeguards are not in place. Olah pointed out that preparing for this transition is essential, especially as AI continues to advance rapidly.</p><p>Another key concern he highlighted is the complex behaviour of AI systems. He said researchers are increasingly observing patterns in AI models that are difficult to fully understand. Some systems show internal decision-making processes and behaviours that resemble human-like responses, making them harder to predict and interpret. This adds to the challenge of ensuring safety and control as AI systems become more powerful.</p><h2>What this means for the future</h2><p><br>Olah also spoke about global inequality in AI development. He noted that most advanced AI systems are being built in a small number of wealthy countries, raising questions about how the benefits of this technology will be shared worldwide. Without proper policies, there is a risk that AI could widen economic gaps between nations rather than reduce them.</p><p>He concluded by calling for independent voices and critics to play a role in shaping the future of AI. According to him, the questions raised by artificial intelligence go beyond the technology sector and require broader public discussion. His remarks reflect a growing concern within the industry that while AI offers major benefits, it also requires careful management to ensure that its impact on society remains balanced and fair.</p>

Christopher Olah, co-founder of Anthropic, has warned that artificial intelligence could replace human labour on a large scale if its development is not carefully managed. 


Christopher Olah, co-founder of Anthropic, has warned that artificial intelligence could replace human labour on a large scale if its development is not carefully managed. Speaking alongside Pope Leo XIV, Olah said the impact of AI on jobs could be significant, and supporting displaced workers would become a major global responsibility. He noted that if large-scale job losses occur, addressing them would be a “moral imperative of historic proportions.” Risk of large-scale job displacement Olah stressed that AI development cannot be left only to technology companies. He said firms like Anthropic operate under commercial, geopolitical and internal pressures that may not always align with broader societal interests. According to him, even well-intentioned researchers are influenced by these forces, which makes external oversight important. He called for stronger involvement from governments, civil society and other institutions to ensure that AI systems are developed responsibly. Global inequality in AI development He also raised concerns about the possibility of widespread job displacement. As AI systems improve, they may automate many types of work, reducing the need for human labour across sectors. This could create economic imbalance and increase inequality if proper safeguards are not in place. Olah pointed out that preparing for this transition is essential, especially as AI continues to advance rapidly. Another key concern he highlighted is the complex behaviour of AI systems. He said researchers are increasingly observing patterns in AI models that are difficult to fully understand. Some systems show internal decision-making processes and behaviours that resemble human-like responses, making them harder to predict and interpret. This adds to the challenge of ensuring safety and control as AI systems become more powerful. What this means for the future Olah also spoke about global inequality in AI development. He noted that most advanced AI systems are being built in a small number of wealthy countries, raising questions about how the benefits of this technology will be shared worldwide. Without proper policies, there is a risk that AI could widen economic gaps between nations rather than reduce them. He concluded by calling for independent voices and critics to play a role in shaping the future of AI. According to him, the questions raised by artificial intelligence go beyond the technology sector and require broader public discussion. His remarks reflect a growing concern within the industry that while AI offers major benefits, it also requires careful management to ensure that its impact on society remains balanced and fair.

<p>Christopher Olah, co-founder of Anthropic, has warned that artificial intelligence could replace human labour on a large scale if its development is not carefully managed.&nbsp;</p>

AI could replace human labour at large scale, warns Anthropic co-founder Christopher Olah

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AI could replace jobs at large scale, warns Anthropic co-founder