分类: technology

  • Bright idea? UK firm pioneers mini data centres using lampposts

    Bright idea? UK firm pioneers mini data centres using lampposts

    For decades, innovators have experimented with placing data centres in increasingly unconventional locations: Microsoft sank an entire facility beneath the ocean surface, while Elon Musk has floated the idea of launching data infrastructure into orbit. Now, a United Kingdom-based technology firm is pioneering a new approach that turns ubiquitous street infrastructure into a network of distributed computing power, with a landmark deal to roll out 50,000 units in a Nigerian state already sealed.

    Warwickshire-headquartered Conflow Power Group (CPG) has developed the iLamp, a solar-powered connected smart lamppost designed to operate both as standard street lighting and a revenue-generating node in a decentralized AI data centre. When thousands of iLamps are networked together, the company says their combined low-power processing capacity can deliver the functional equivalent of a traditional centralized data centre, while cutting emissions by avoiding draws on fossil-fuel powered national electricity grids.

    Each unit is fitted with a cylindrical solar panel that charges an on-board battery, which in turn powers an energy-efficient AI-capable processor. CPG chairman Edward Fitzpatrick explained to the BBC’s Tech Life programme that recent advances from chip giant NVIDIA have made the concept feasible. “NVIDIA is the company that’s created a small enough chip, powered with 15 watts of power, so it can be powered by solar, and we can put that inside a street light,” Fitzpatrick said.

    Beyond their AI computing function, the smart lampposts integrate AI-powered surveillance capabilities that expand their use cases. For the Nigerian deployment, each iLamp will come equipped with a camera able to identify parking violations, speeding motorists, and drivers who do not wear seatbelts. Smaller-scale trials of the technology are already underway in the car park of Warwick Hospital in the UK, where the units provide CCTV monitoring and automatic number plate recognition. Fitzpatrick added that the technology could eventually be used to locate wanted or missing persons via facial recognition, with final-stage negotiations ongoing to deploy the full feature set with public schools and local governments in Florida, U.S.

    The inclusion of facial recognition capabilities has already sparked potential privacy concerns, with critics highlighting longstanding risks of algorithmic bias, misuse of surveillance data, and erosion of personal privacy. In response, CPG emphasized that it will only roll out facial recognition functionality in formal partnership with relevant regulatory authorities, and in full alignment with all local and national privacy and security laws. Fitzpatrick even suggested the connected lampposts could open up new forms of public interaction, saying: “you could walk past the streetlight, put your two fingers up like a victory sign and that could be voting for something. That could be a poll which you could put out onto social media”.

    The project comes as rising energy and water consumption from AI systems has emerged as a major global environmental concern. Some estimates already put the total annual energy use of global AI infrastructure on par with the entire United Kingdom’s annual electricity consumption, with water use for data centre cooling also drawing growing scrutiny. CPG’s solar-powered distributed model aims to address this carbon footprint issue, but industry experts have cautioned that the technology is not a wholesale replacement for large-scale centralized data centres.

    John Booth, managing director of sustainability consultancy Carbon3IT Ltd and a member of BCS, the UK’s Chartered Institute for IT, noted that the iLamp model fills a specific niche rather than replacing traditional infrastructure. “The iLamps could have value as a relatively low-cost solution that can be used for small AI applications in conjunction with other larger sites,” Booth told the BBC.

    Veteran data centre industry academic Professor Ian Bitterlin echoed this assessment, pointing out that decentralized street-side nodes cannot match the performance of large facilities built for training cutting-edge large language models. A key limiting factor, Bitterlin explained, is the physical distance between individual lampposts, which creates latency that makes high-speed coordinated computing for large AI tasks unfeasible. He also flagged physical security as a major ongoing concern, a challenge that Fitzpatrick openly acknowledges. “If people realise that there’s a $2,000 unit inside there they might try and steal it,” Fitzpatrick said, adding that CPG has engineered the units to permanently disable (or “fry”) the processor if it is improperly removed from the lamppost.

    Despite their limitations for large-scale AI training, Bitterlin noted that the iLamps could fill a growing need for edge computing infrastructure. As more AI applications require processing power located close to end-users, the lampposts could act as accessible access points that connect users to larger, more powerful centralized data centres running big AI models, similar to how mobile phone masts support cellular networks.

    For the landmark Katsina State deployment in Nigeria, the state government will generate ongoing revenue by leasing the collective processing capacity of the iLamp network to AI companies. After an initial three-year period, CPG will take a 20% cut of all revenue generated by the network. Fitzpatrick described Africa as the company’s primary target market for scaling the technology, citing abundant solar resources, supportive regulatory frameworks, and strong demand for basic street lighting infrastructure as key advantages. “Africa is our prime target because there’s plenty of sunshine which is great, they’ve got more relaxed rules and regulations, they want us to put the street lights on the street,” he said.

    While the iLamps will be manufactured in Morocco, Taiwan and Latvia, CPG is also building a local assembly factory in Katsina to support the deployment. In a statement welcoming the deal, Dr Hafiz Ibrahim Ahmad, Special Adviser on Power and Energy to the Katsina State government, called the project a milestone for African tech innovation, saying the state is now “home to the only distributed AI data centre of its kind anywhere on the African continent”. He added that the project would deliver wide-ranging benefits beyond new tech infrastructure, including “safer streets, real-time crime and terrorism prevention, free public internet and a revenue stream that flows back into the state”.

  • Pentagon says US military to be an ‘AI-first’ fighting force

    Pentagon says US military to be an ‘AI-first’ fighting force

    The U.S. Department of Defense is advancing a sweeping push to embed artificial intelligence across military operations, announcing eight new expanded partnerships with leading American technology companies that aims to reposition the U.S. military as an “AI-first” fighting force. The agreements, finalized Friday, bring Google, OpenAI, Amazon Web Services, Microsoft, SpaceX, Oracle, Nvidia, and emerging startup Reflection into the Pentagon’s growing AI ecosystem, clearing the way for these firms’ AI tools to be used for any lawful military and operational purpose.

    In a public statement following the announcement, Pentagon officials emphasized that the multi-vendor strategy is designed to avoid overreliance on a single technology provider, a vulnerability commonly referred to as “vendor lock-in.” By tapping into a diverse range of AI capabilities built across the robust U.S. technology sector, defense leaders say warfighters will gain access to cutting-edge tools to respond faster to threats and protect national security. The department also highlighted early successes from its existing military AI platform, launched last year: more than one million defense personnel across the department have already adopted the platform, cutting processing time for many critical tasks from months to just days.

    The announcement comes amid a high-profile public and legal split with leading AI developer Anthropic, which is notably absent from the new set of contracts. The San Francisco-based firm, which was the first AI company to deploy its models for U.S. classified government work, still has its Claude chatbot tools in use across multiple defense and civilian agencies. However, the relationship collapsed earlier this year after Anthropic CEO Dario Amodei publicly raised ethical alarms over the potential misuse of powerful AI, warning that defense agencies could use the technology to carry out mass domestic surveillance and deploy fully autonomous lethal weapons. The company refused to agree to contract language allowing “any lawful use” of its AI tools for military purposes.

    In response, Defense Secretary Pete Hegseth labeled Anthropic a “supply chain risk,” barring the firm from new government work. Anthropic has filed a lawsuit against the federal government alleging unlawful retaliation for its ethical stance, with the case scheduled to go to court in September.

    The rift between Anthropic and the Pentagon has opened new opportunities for competing AI firms to deepen their ties to the U.S. military. OpenAI, maker of the ChatGPT large language model, was the first to capitalize on the shift, finalizing its own contract with the Pentagon in late February. A company spokesperson framed the deal as a commitment to equipping U.S. defense personnel with the world’s most advanced tools, noting Friday’s announcement was simply a formalization of the existing agreement.

    For Google, the partnership marks a milestone: while the company’s Gemini chatbot is already used across some civilian government agencies, this contract will clear Gemini to handle classified defense work for the first time. The expansion has already sparked internal pushback: earlier this week, hundreds of Google employees, including dozens of researchers from the company’s leading AI research arm DeepMind, sent an open letter to CEO Sundar Pichai urging the company to abandon the deeper military partnership. Google has not yet issued a public response to the request or the contract announcement.

    Other partners bring unique AI capabilities to the new framework. SpaceX, led by Elon Musk, is the parent company of xAI, the startup behind the controversial Grok AI chatbot. While xAI’s model is widely seen as less technically advanced than offerings from Anthropic, OpenAI, and Google, the addition of SpaceX extends the Pentagon’s access to Musk’s sprawling aerospace and technology ecosystem. Nvidia, a leading producer of AI computing hardware, will contribute its open-source Nemotron large language model, while startup Reflection will offer its open-source Reflection 70B model; neither firm will provide hardware as part of the current agreement. Longtime government cloud providers Amazon Web Services, Microsoft, and Oracle will continue to host the defense department’s online AI infrastructure, expanding their existing services to accommodate the growing volume of AI models and tools. None of the firms—SpaceX, Nvidia, Reflection, Amazon, Microsoft, or Oracle—have responded to requests for comment on the new contracts.

    Defense Secretary Hegseth has made accelerating AI adoption across the U.S. military a top priority, arguing that access to advanced AI has become a core determinant of military success in modern conflict. For years, the Pentagon has worked to build out its AI capabilities, and Friday’s announcement represents the most significant expansion of those efforts to date.

  • China’s Manus AI case sets red lines to bar ‘Singapore washing’

    China’s Manus AI case sets red lines to bar ‘Singapore washing’

    China has formally blocked Meta’s proposed $2 billion acquisition of Manus, a high-profile Chinese general-purpose agentic AI startup, and moved to clear up misperceptions around the decision, emphasizing that the prohibition targets regulatory circumvasion rather than domestic firms’ legitimate overseas expansion or foreign inbound investment.

    The ban was issued on Monday by the Office of the Working Mechanism for Security Review of Foreign Investment under the National Development and Reform Commission (NDRC), which ordered the involved parties to unwind the unreported transaction entirely. In the days following the ruling, Chinese state media outlets published a series of explanatory commentaries to outline the policy logic behind the decision, aiming to avoid misinterpretation that the move signals a broader crackdown on foreign capital or restrictions on Chinese tech firms going global.

    Chinese policy analysts stress that Beijing does not intend for the Manus ruling to send a misleading signal to the global investment community. As a CCTV-affiliated social media account Yuyuan Tantian clarified in a Thursday article, China’s existing Measures for the Security Review of Foreign Investment draw clear boundaries for regulatory scrutiny. Under the framework, all investments touching on national defense security require mandatory declaration regardless of foreign stake size, while for key sectors including core information technology, internet products and services, and critical technologies, any transaction that grants actual control to a foreign investor falls within mandatory review scope.

    Manus, the article noted, fits clearly into this defined key technology category as a developer of general-purpose AI agent systems. Meta’s proposed acquisition would have transferred full actual control of the startup to the US tech giant, yet neither party submitted the required proactive declaration to Chinese regulators, making the ruling a straightforward application of existing law.

    The article added that Chinese regulators assess risk across three core dimensions: technology, talent and data. All of Manus’s core assets — including its foundational algorithms, training data and core R&D team — were developed by domestic teams within China’s borders, so any transfer of control overseas legally requires a national security review. The commentary also pointed to growing global trends of expanding security review scopes and blurred threat definitions that specifically target other countries’ AI development, a practice that China must guard against to protect its own strategic technology ecosystem. Even as it enforces security rules, China remains committed to supporting AI innovation and maintaining an open market for foreign investment, the article emphasized.

    The Manus transaction grew out of a new regulatory workaround that has emerged since the United States barred American investment from China’s domestic AI sector in October 2024, dubbed “Singapore washing.” The term describes the practice of Chinese AI firms spinning off operations or relocating their registered headquarters to Singapore to avoid US investment restrictions and raise foreign capital. In the case of Manus, the startup restructured its operations to sever formal ties with its Chinese origins to secure Meta’s investment, a strategy that the ruling has now invalidated.

    Manus first captured global tech industry attention when it made its high-profile debut in March 2025. Unlike conventional large language models such as ChatGPT or DeepSeek, Manus is positioned as a general-purpose AI agent capable of completing complex, multi-step tasks traditionally handled by white-collar workers. In promotional demonstrations, co-founder Xiao Hong showcased the system’s capacity to sort through 10 candidate resumes, identify a New York City property matching a set budget, and analyze stock correlation trends between Nvidia, Marvell Technology and TSMC, leading the startup to adopt the slogan “Leave it to Manus.”

    The acquisition deal began taking shape in 2025, as Manus restructured to move its registered headquarters to Singapore between June and July that year. It reorganized under a new Singapore-based operating entity, Butterfly Effect Pte, reduced its mainland Chinese team from more than 120 employees to just 40 core members who were relocated to Singapore, deleted all Chinese-language social media accounts, and blocked IP addresses based in China from accessing its official website. By the end of 2025, Manus presented itself as a fully Singapore-based company, and Meta announced the $2 billion acquisition on December 30, with Xiao Hong slated to take a senior leadership role at the US firm.

    Chinese regulators launched their formal review of the unreported transaction in January 2026, and by late March, Xiao Hong and co-founder Ji Yichao were barred from leaving China as the review progressed. The formal ban on the deal was issued on April 27.

    According to Chinese analysts, Manus crossed three non-negotiable red lines in its restructuring and dealmaking: technology sovereignty, data sovereignty and national security. “Where the technology originates determines jurisdiction,” explained Guangdong-based business columnist Shengchandui. Manus’s core algorithms and core team were built entirely within China, so shifting the company offshore and selling it to a foreign buyer amounts to unauthorized export of domestically developed strategic capabilities, a form of “technology smuggling” that weakens China’s domestic innovation base. The columnist added that Manus processes vast volumes of user data, much of it originating from Chinese users, so transferring control overseas creates unacceptable risks of data leakage, particularly under existing rules governing cross-border data transfers. As AI agents are emerging as core infrastructure for digital work, communication and software development, putting a system built on Chinese technology and data under full foreign control creates unacceptable national security risks, he noted.

    Zhu Youping, a researcher at the NDRC’s State Information Center, clarified that the ruling is not a restriction on legitimate global expansion by Chinese firms, but a prohibition on efforts to evade national regulation. “If the proposed acquisition is completed, Meta would obtain 100% control in Manus, but neither Meta nor Manus had declared this to the Chinese regulators,” he said. Regulators apply a “look-through” approach that focuses on the actual origin of technology, the source of training data and ownership of core talent, rather than just the jurisdiction where a company is registered. “Manus’s relocation to Singapore is essentially a case of using domestic resources to incubate value and monetizing it through an offshore structure to bypass oversight,” Zhu added.

    Beyond blocking the unauthorized transaction, Chinese authorities have signaled that they want Manus to remain rooted in China to contribute to the country’s fast-growing domestic AI industry. In a Tuesday editorial, the Global Times noted that “China’s AI industry has entered a phase of rapid development, with a sustained burst of innovative vitality, making it a fertile ground for global AI innovation. We hope that more technology and innovation enterprises, including Manus, can find their place in this blue ocean in China, develop confidently, grow larger and stronger and achieve better development and breakthroughs.”

    The Manus ruling aligns with Beijing’s latest policy push to scale up domestic AI adoption for economic growth. On April 21, China’s State Council released a policy document outlining 20 measures to expand and upgrade the country’s AI sector, setting a target of growing total industry output to more than 100 trillion yuan (approximately $13.8 trillion) by 2030, up from 81 trillion yuan in 2025. The policy specifically supports deployment of AI tools in high-impact areas including intelligent programming, contract review, financial services and supply chain optimization, and calls for the construction of national AI application testing bases.

    Pang Chaoran, a researcher at the Chinese Academy of International Trade and Economic Cooperation (CAITEC), said the new policy marks a clear shift in China’s AI strategy: instead of focusing primarily on subsidizing AI model training, Beijing is now encouraging private service sector firms to adopt AI models and agents at scale. By driving widespread adoption of AI tools across industries, the government aims to accelerate commercialization of AI innovation, embed the technology deeper into real economic activity, and generate new growth momentum for both the service and technology sectors.

  • Roblox to require facial scans for children under 16 in Indonesia due to new social media rules

    Roblox to require facial scans for children under 16 in Indonesia due to new social media rules

    JAKARTA, Indonesia – In a move that marks one of the strictest youth safety policies the global gaming platform has ever enacted, Roblox confirmed Thursday it will require mandatory facial scanning for all Indonesian users under the age of 16 to verify their age, a change implemented to comply with Indonesia’s sweeping new regulatory framework governing minor access to social media and digital services.

    Roblox Vice President and Global Head of Public Policy Nicky Jackson Colaco unveiled the new requirements during a Jakarta press conference, noting that the tailored rules for the Indonesian market outpace most other age-verification policies the platform has rolled out across its global operations. To align with national regulations, the company has restructured its Indonesian user accounts into two age-specific tiers: Roblox Kids, designed for children aged 5 to 12, which removes all in-platform chat functionality entirely; and Roblox Select, for teens aged 13 to 15, which restricts chat interactions exclusively to connections pre-approved by parents or family members.

    The rollout will automatically reclassify the platform’s 23 million existing Indonesian accounts that were self-identified as belonging to users under 16, requiring all of these accounts to complete facial scanning-based age verification to retain their current access settings. Any under-16 user that fails to complete the facial scan process will be automatically downgraded to a restricted Roblox Kids account, with all chat functionality permanently disabled until verification is completed.

    The age verification process requires users to capture a short video selfie to generate an estimated age assessment. Jackson Colaco emphasized that all biometric data collected during the process is deleted immediately after verification is complete, with no user data stored on Roblox servers long-term. According to Indonesian Communication and Digital Affairs Minister Meutya Hafid, Roblox has a total user base of roughly 45 million people in Indonesia, with just over half – around 23 million users – falling under the 16-year age threshold.

    Notably, Roblox is the only gaming platform classified as a “high-risk” service by the Indonesian government, requiring it to implement more stringent youth access restrictions than most other major social media platforms operating in the country. Beyond account classification and restricted interaction limits, Roblox will also sort its game library by age appropriateness and enforce mandatory screen time limits to address widespread public concerns over youth gaming addiction. Parents will also be able to set custom daily usage caps aligned with their household rules, Hafid added.

    Indonesia’s new national regulation on minor digital access took effect in late March, banning all users under 16 from accessing high-risk digital platforms that may expose young people to harms including gaming addiction, explicit content, online fraud, and cyberbullying. Out of eight major high-risk platforms operating in the country – which include YouTube, TikTok, Facebook, Instagram, Threads, X, and Bigo Live – seven have already committed to rolling out compliant age-based access restrictions. Alongside access limits, Indonesian regulators are pushing all digital platforms to publish regular disclosures of how many under-16 accounts have been restricted or suspended as part of the new policy’s implementation.

  • Meta in row after workers who say they saw smart glasses users having sex lose jobs

    Meta in row after workers who say they saw smart glasses users having sex lose jobs

    A growing controversy surrounding Meta’s artificial intelligence training practices for its Ray-Ban and Oakley branded smart glasses has triggered regulatory investigations and competing claims over why the tech giant abruptly cut ties with its outsourced contractor Sama, leaving more than 1,100 Kenyan workers unemployed.

    In February, anonymous data annotators employed by Sama gave explosive interviews to two Swedish publications, Svenska Dagbladet and Goteborgs-Posten, revealing that they were forced to review deeply private and graphic footage captured by Meta’s consumer smart glasses. The workers described reviewing everything from users going to the bathroom to sexual encounters, and one account detailed footage of a woman undressing in a private bedroom, captured without her knowledge by her partner’s recording glasses. “We see everything – from living rooms to naked bodies,” one worker told the outlets.

    Less than two months after these allegations came to light, Meta announced it was ending its contracted work with Sama, a US-headquartered B Corp that brands itself as an ethical tech outsourcing provider. The termination left 1,108 Kenyan workers out of a job. The two sides have offered starkly conflicting explanations for the decision.

    Meta has publicly maintained that it cut ties because Sama failed to meet its internal operational standards. “We take [the worker allegations] seriously. Photos and videos are private to users. Humans review AI content to improve product performance, for which we get clear user consent,” a Meta spokesperson told the BBC, adding that the company had paused work with Sama while it investigated the claims.

    Sama has forcefully rejected Meta’s claims, noting that it never received any prior notification of performance issues. “Sama has consistently met the operational, security and quality standards required across all our client engagements, including with Meta,” the company said in an official statement. “At no point were we notified of any failure to meet those standards, and we stand firmly behind the quality and integrity of our work.”

    Kenyan worker advocacy groups have put forward a third, far more critical explanation: that Meta terminated the contract to punish workers for speaking out about the privacy violations and harmful working conditions. Naftali Wambalo of the Africa Tech Workers Movement, who is already involved in ongoing legal action against Sama and Meta over a past toxic content moderation contract, says workers on the smart glasses project confirmed the same pattern of exploitation. “What I think are the standards they are talking about here are standards of secrecy,” Wambalo told the BBC.

    This is not the first time Meta’s partnership with Sama has resulted in public scandal. A previous contract for Sama to moderate Facebook content drew widespread condemnation after former workers described chronic trauma from constant exposure to graphic, violent and extreme content, leading to legal action. Sama later stated it regretted taking on that work.

    Following the February revelations, regulators on two continents have opened investigations into Meta’s practices. The UK’s Information Commissioner’s Office (ICO) wrote to Meta shortly after the Swedish investigation was published, raising concerns over the reported privacy breaches. Kenya’s Office of the Data Protection Commissioner has also launched a formal probe into the privacy risks posed by the smart glasses content review process. Non-consensual recording of women using the devices has already been linked to incidents in Kenya, amplifying local privacy concerns.

    Meta first unveiled its line of AI-powered smart glasses in partnership with luxury eyewear brands Ray-Ban and Oakley in September 2023. The devices offer AI-powered features including real-time text translation and visual question answering, a tool that is particularly helpful for users who are blind or partially sighted. As the devices have grown in popularity with consumers, concerns over misuse and privacy violations have grown in lockstep.

    The Kenyan workers who spoke to the Swedish outlets were employed as data annotators, a role that involves manually labeling content captured by smart glasses to help train Meta’s AI systems to correctly interpret images. They also reviewed transcripts of user interactions with the glasses’ built-in AI to check that responses were accurate. Meta has stated that human review of content is an industry standard practice intended to improve user experience, and that the practice is disclosed in the company’s terms of service.

    Mercy Mutemi, a lawyer representing the Kenyan worker petitioners and executive director of advocacy group the Oversight Lab, said the controversy should serve as a warning to the Kenyan government, which has positioned outsourced AI work as a pathway into the global tech economy. “We’ve been told that this is our entry route into the AI ecosystem,” she said. “This is a very flimsy foundation to build your entire industry on.”

    The BBC has requested additional comment from Meta on the secrecy allegation, and has not yet received a response.

  • China to ban drone sales in Beijing citing security concerns

    China to ban drone sales in Beijing citing security concerns

    Starting this Friday, May 1, sweeping new drone regulations will go into effect across Beijing, introducing some of the strictest controls on unmanned aerial vehicles (UAVs) in the world, even as China positions the broader low-altitude economy as a key national strategic growth sector.

    Under the newly implemented rules, the sale, rental, and unauthorised transport of drones and their core components into Beijing will be fully prohibited. All private and commercial drone owners operating within the capital are required to register their devices with local law enforcement before taking any outdoor flight. Additional requirements mandate that all outdoor drone operations across Beijing secure prior official approval, and operators must complete a government-designed online training course and pass an assessment on UAV regulatory policies to qualify for flight permits.

    Cross-city movement of drones also faces new scrutiny: any drone brought into or out of Beijing must go through formal registration, and owners sending drones outside the capital for repair are required to collect the device in person after servicing, rather than accepting courier delivery. A narrow set of exceptions applies to officially approved public utility operations, including counter-terrorism missions and disaster relief response, where drone ownership and operation remain permitted following government authorisation.

    This latest round of restrictions builds on years of incremental tightening of UAV rules across China, a trend driven by consistent official concerns over public safety and low-altitude airspace security. Beijing first designated its entire airspace a controlled no-drone zone last year, requiring advance air traffic management approval for all drone flights, and the local People’s Congress approved the updated regulatory framework in March 2026.

    “Our goal is to strike the best balance between safeguarding public and airspace safety and supporting sustainable technological and economic progress,” explained Xiong Jinghua, a senior official with the Beijing Municipal People’s Congress, when the regulations were approved.

    The new policy comes at a paradoxical moment for China’s drone sector: Chinese manufacturers, led by global industry leader DJI, currently dominate the worldwide consumer and commercial drone market, and the country’s growing low-altitude economy – which encompasses both commercial drones and emerging flying taxi technology – has been marked as a national strategic priority, with official projections valuing the sector at more than 2 trillion yuan ($290 billion) by 2035. Across many urban and rural regions of China, drones have already entered widespread daily use, supporting applications from commercial food delivery and agricultural crop monitoring to high-rise building exterior cleaning.

    Even with this rapid growth, China has emerged as one of the most tightly regulated markets for drone operation globally. With the new rules set to take effect, reports from Beijing indicate that authorized retail outlets for DJI, the country’s largest drone manufacturer, have already begun removing all consumer drones and related components from store shelves ahead of the sales ban.

    Official data puts the total number of registered drones across China at more than 3 million, and industry analysts note that the sweeping new restrictions in the capital are expected to reshape the country’s massive domestic drone market, forcing operators and manufacturers to adapt to the new layered regulatory regime.

  • Indians lost $25bn to digital fraud in 2025 – now its central bank is fighting back

    Indians lost $25bn to digital fraud in 2025 – now its central bank is fighting back

    Over the past five years, India’s rapid embrace of cashless digital payments has unlocked unprecedented convenience for millions of consumers — but it has also opened the door to a soaring wave of cyber-enabled financial fraud that has drained billions of dollars from ordinary accounts. The scale of the crisis became stark in new data showing nearly 2.5 million Indian citizens lost a combined $25 billion to digital scams in 2025 alone, marking a staggering 4,300% increase in total losses since 2021. This explosive growth has forced India’s central banking regulator, the Reserve Bank of India (RBI), to intervene with a slate of proposed policy changes aimed at curbing the harm, though industry experts warn the new measures face major implementation hurdles and may deliver only limited impact. The human cost of the crisis is illustrated by the experience of Alok, a business analyst based in Pune whose identity has been protected by changing his name. In February, he received an urgent text message claiming he owed a 1,000 rupee ($10.75) speeding fine, warning that his driving license would be suspended if he did not pay immediately. Pressured to act quickly, Alok clicked a linked payment portal and entered a one-time password (OTP) to complete what he thought was the small transaction. Within minutes, his credit card had been charged the full maximum limit of $3,225. Alok had fallen victim to one of India’s most common social engineering scams, where fraudsters use psychological manipulation — stoking fear and urgency — to trick users into revealing sensitive authentication details that allow scammers to drain their accounts. These fake messages mimic official government or bank communications, directing unsuspecting victims to convincing phishing websites that harvest their credentials. As digital payment adoption has accelerated far faster than public digital literacy and regulatory safeguards, this type of fraud has evolved into a national crisis. In response, the RBI released a public discussion paper earlier this month outlining a series of potential reforms to crack down on illegal activity. The most notable proposals include mandating a one-hour processing delay for account-to-account money transfers, requiring additional authentication from a pre-approved trusted person for high-value payments made by vulnerable groups such as senior citizens, imposing stricter limits and ongoing reviews for large credits to new customer accounts to flag potential money mule accounts used to launder fraudulent funds, and giving consumers the ability to toggle digital payment services on or off and set custom transaction limits, similar to the controls already available for physical credit and debit cards. While experts broadly praise the RBI’s proactive, consultative approach to addressing the crisis, many question the effectiveness and practicality of the proposed policies. Rajesh Bansal, former CEO of the RBI Innovation Hub, told the BBC that while a payment processing delay could block the type of OTP scam that targeted Alok, these simpler scams now make up only a tiny fraction of total fraudulent activity in India. “These scams were the dominant variety three or four years ago, but frauds have now moved to another level, and are far more sophisticated,” Bansal explained. Wriju Ray, a senior leader at leading regulatory technology firm IDfy, notes that implementing a system-wide payment delay would also be logistically extremely challenging. India’s digital payment ecosystem is built around the core principle of instant transaction processing, so adding delays would require a complete overhaul of existing network architecture, from transaction queuing systems to transaction cancellation protocols. The RBI itself acknowledges this challenge, admitting in the discussion paper that the change would require significant cost and effort across the entire industry, and would contradict the core design of India’s real-time payment infrastructure. Bansal compares the change to “building an expressway and adding speed breakers every few kilometres” — creating unnecessary friction for legitimate users that will do little to stop determined scammers. Ray adds that fraudsters are already likely to adapt to the change, for example by instructing victims to complete transactions an hour in advance to avoid triggering any fraud alerts. Other proposals also raise practical questions, experts say. While extra authentication for elderly users is a well-intentioned idea, it is unclear how the rule would work in practice: what if the trusted person is traveling abroad? And if the trusted person approves a transaction that still turns out to be fraudulent, who bears legal responsibility for the loss? The plan to strengthen detection of money mule accounts through stricter checks and credit limits may be effective, but it would also impose heavy new compliance costs on financial institutions — costs that would ultimately be passed on to ordinary consumers, Ray argues. Bansal adds that the RBI already has a fully developed mule detection platform called Mulehunter.AI, which was created during his tenure as CEO and is designed to provide real-time intelligence on high-risk beneficiary accounts. The platform has yet to be rolled out for widespread real-time use across India’s banking system, and Bansal is calling for its immediate, expedited implementation as a more effective immediate solution. Beyond regulatory changes, experts agree that policy intervention is only one piece of the puzzle. Closing the gap between rapid digital adoption and public digital literacy is a critical, long-overdue priority. India’s population has moved to digital payments at a breakneck pace that outstripped the growth of consumer education and fraud awareness safeguards. While the RBI has launched public awareness campaigns, recruiting high-profile celebrities such as Amitabh Bachchan and running ads during widely viewed Indian Premier League cricket matches, experts say far more investment is needed to bring digital literacy to all segments of the population, particularly vulnerable groups like the elderly that are most often targeted by scammers. Experts also add that the RBI needs to deepen cross-agency collaboration with police forces, relevant government ministries, the securities and markets regulator, and other stakeholders to tackle the root of the fraud crisis, as fragmented responsibility across agencies has slowed effective action to date. Despite the concerns about the specific proposals, experts do welcome the RBI’s new open, consultative approach to addressing the problem — a marked shift from the bank’s past practice of issuing top-down decrees without public input. Ray notes that the ongoing public discussion of the crisis is itself a positive step that will ultimately lead to more effective, widely accepted regulation over time.

  • Musk accuses OpenAI lawyer of trying to ‘trick’ him in combative testimony

    Musk accuses OpenAI lawyer of trying to ‘trick’ him in combative testimony

    One of the most closely watched legal battles in the history of artificial intelligence entered a tense new phase this week, as Tesla and SpaceX CEO Elon Musk took the stand for a second day of testimony in his multi-billion-dollar lawsuit against OpenAI, co-founder Sam Altman, and OpenAI president Greg Brockman. The Oakland, California courtroom has become the center of a debate that will shape the future direction of the AI sector, pitting Musk against his former colleagues over the core founding mission of one of the world’s most valuable tech companies. On the stand, Musk repeatedly pushed back against aggressive questioning from OpenAI’s lead defense attorney William Savitt, at one point labeling the lawyer’s line of inquiry unnecessarily convoluted and intentionally designed to trip him up. “Your questions are not simple,” Musk told Savitt mid-examination. “They’re designed to trick me essentially.”

    Musk, a founding investor of OpenAI, launched the lawsuit in 2024, alleging that Altman, Brockman, and major OpenAI backer Microsoft betrayed the organization’s original non-profit charter by shifting OpenAI to a for-profit operating model. He argues that the founders explicitly misled him and other early supporters about the long-term direction of the company, which was launched with the stated public mission of developing artificial general intelligence (AGI) — AI systems that outperform human-level intelligence across all domains — for public benefit, not private profit.

    The tech billionaire laid out his core position clearly during his opening testimony, framing the case as a fundamental check on the integrity of charitable organizations. “It’s actually very simple,” he said. “It’s not okay to steal a charity… If it’s okay to loot a charity, the entire foundation of charitable giving will be destroyed.” Musk acknowledged that he contributed nearly $38 million to the non-profit OpenAI as an early backer, covering almost all of the organization’s initial operating costs because he wanted to ensure it stayed aligned with its public-focused mission. He admitted that he expected to cede control as more stakeholders joined the project, but said he never anticipated the entire mission would be flipped to prioritize commercial profit. “I could have done that with OpenAI, but I chose not to. I chose something that was for the public benefit,” he said. “I deliberately chose to create this as a non-profit for the public good.”

    Through his legal team, Musk is seeking billions of dollars in damages for what he calls OpenAI’s “wrongful gains,” all of which he says should be redirected to fund OpenAI’s non-profit division. He is also calling for a full leadership shakeup, including the removal of Altman from his top executive role at the company.

    OpenAI’s legal team has struck back with a sharply contrasting narrative, arguing that Musk’s lawsuit is nothing more than an attempt to sabotage a leading rival in the global AI race. The company says Musk left OpenAI in 2018 only after he failed to seize full control of the organization, and that his current legal action is driven by regret over walking away from the company years before its ChatGPT product revolutionized the AI industry and generated hundreds of billions of dollars in market value.

    Savitt used his cross-examination to highlight what he frames as a contradiction in Musk’s position: while Musk insists OpenAI must remain non-profit to ensure AGI safety, his own competing AI startup, xAI — launched in 2023, a year after ChatGPT’s blockbuster debut — operates as a for-profit company. Savitt also argued that Musk has long sought to advance his own commercial interests through OpenAI, claiming Musk tried to force a merger between OpenAI and Tesla, and used his early investment as leverage to “bully” other co-founders. “We’re here because Mr Musk didn’t get his way at OpenAI,” Savitt told the court. “Because he’s a competitor, Mr Musk will do anything to attack OpenAI.”

    As of the second day of testimony, Altman and Brockman sat in the front row of the courtroom observing the proceedings, and Altman is expected to take the stand later in the trial. The case, which is set to run for several weeks, has already drawn widespread public attention: crowds of demonstrators have gathered outside the Oakland courthouse, and tech industry observers across the globe are tracking the outcome closely, as a ruling for either side could set lasting precedents for how AI organizations are structured, governed, and held accountable to their original missions. Analysts note that Musk’s xAI has trailed OpenAI in market adoption and product development since its launch, a context OpenAI has leaned on to bolster its claim that the lawsuit is driven by competitive jealousy.

    OpenAI has pushed back on all of Musk’s core claims, maintaining that Musk was fully aware of and supported the 2019 decision to launch a commercial arm to fund the massive costs of AI research years before ChatGPT launched. The company also says all of Musk’s original $38 million donation was spent exactly as intended, in service of the organization’s founding mission.

    As the trial unfolds, the global tech industry waits for a verdict that could reshape the dynamics of the fast-growing AI sector, redefining the line between non-profit public mission and commercial innovation in one of the most important technological revolutions of the century.

  • Seven lawsuits filed against OpenAI by families of Canada mass-shooting victims

    Seven lawsuits filed against OpenAI by families of Canada mass-shooting victims

    On February 10, one of the deadliest mass shootings in Canadian history unfolded in the small northern British Columbia community of Tumbler Ridge, leaving eight people dead — six of them children. The 18-year-old gunman, Jessie Van Rootselaar, who opened fire at the town’s secondary school, ultimately died from a self-inflicted gunshot wound. Among the survivors is 12-year-old Maya Gebala, who remains hospitalized after being shot three times in the head, neck, and cheek. Months after the tragedy, a wave of groundbreaking litigation has placed one of the world’s most valuable tech companies at the center of growing scrutiny over AI safety accountability. Seven families of those killed and injured in the attack have filed a new lawsuit in a California state court against OpenAI and its chief executive Sam Altman, marking one of the first major legal attempts to hold a leading AI developer responsible for a violent act linked to its platform. The suit replaces an earlier smaller claim filed in a Canadian court by Gebala’s family, which is being voluntarily withdrawn as the legal team expands its action. Lead counsel Jay Edelson, who leads a joint US-Canadian legal team representing the families, confirmed he expects to file more than two dozen additional jury trial claims on behalf of other victims and impacted community members in the coming weeks. The core allegation of the litigation is that OpenAI’s executive leadership, including Altman, acted with gross negligence and intentionally chose corporate profit and reputation over public safety when they ignored repeated warnings from their own safety team about the gunman’s harmful activity on ChatGPT. According to the suit, Van Rootselaar’s conversations with ChatGPT, which included detailed descriptions of gun violence scenarios and attack planning, were flagged as an imminent threat by OpenAI’s internal 12-person safety monitoring team months before the shooting. The team formally recommended that the activity be reported to the Royal Canadian Mounted Police (RCMP), but senior OpenAI leadership vetoed the decision. The complaint alleges that leadership blocked the alert to protect OpenAI’s $850 billion valuation and public image, writing that “they did the math and decided that the safety of the children of Tumbler Ridge was an acceptable risk.” The suit further claims that OpenAI falsely stated it banned Van Rootselaar from the platform after flagging his activity, but the company’s loose account policies allowed the gunman to easily create a new account under his own name and continue planning the attack unimpeded. OpenAI has pushed back against these claims, asserting that it revokes access for banned users and implements measures to prevent repeat account creation. The company also said it has a strict zero-tolerance policy for any use of its tools to facilitate violence. In the weeks after the shooting, Altman issued a public apology to the victim families in an open letter published by local outlet Tumbler Ridge Lines. “I am deeply sorry that we did not alert law enforcement,” Altman wrote, adding “While I know words can never be enough, I believe an apology is necessary to recognize the harm and irreversible loss your community has suffered.” Since the lawsuit was filed, OpenAI has moved quickly to implement visible changes to its safety protocols, releasing a public blog post this Tuesday outlining updated procedures for responding to potentially dangerous user behavior. A company spokesperson confirmed that OpenAI has already strengthened its internal safeguards, including improved risk assessment and escalation protocols for potential violent threats. The company has also committed to working with Canadian officials at all levels of government to prevent similar tragedies, a promise Altman reiterated in his apology letter. Edelson’s legal team has been pushing for access to Van Rootselaar’s full ChatGPT chat logs, which OpenAI has so far refused to release. The legal team expects to compel disclosure through the discovery process of the California lawsuit, with plans to present the internal decision-making directly to a jury. “We’re going to put the jury in the room when the decision was made to not tell the Canadian authorities,” Edelson told the BBC. “We’re going to show them how people were jumping up and down saying we need to protect this town, and we’re going to show them how Sam Altman and OpenAI routinely make these decisions to put their own interests first.” This litigation is not the only scrutiny OpenAI is facing over links between its platform and violent attacks. The company is already the subject of an ongoing criminal probe in Florida connected to a 2025 shooting at Florida State University that left two people dead and multiple others injured, where the accused shooter is reported to have used ChatGPT ahead of the attack. The Tumbler Ridge lawsuit has opened a new chapter in global debates about AI governance, forcing a public test of whether tech developers can be held legally liable for failing to mitigate known threats stemming from their generative AI tools.

  • EU finds Meta failing to keep under-13s off Facebook, Instagram

    EU finds Meta failing to keep under-13s off Facebook, Instagram

    The European Commission announced Wednesday preliminary findings that tech giant Meta has failed to enforce its own minimum age rule of 13 for Facebook and Instagram, leaving underage users exposed to harmful online content and facing potential penalties that could reach billions of dollars. The ruling marks a major step forward in the EU’s sweeping campaign to tighten protections for minors navigating digital spaces, following similar policy moves around the world.

    The investigation, launched back in May 2024 under the bloc’s landmark Digital Services Act (DSA), uncovered critical flaws in Meta’s age verification systems. Regulators confirmed that under-13s can easily bypass existing restrictions simply by entering a false date of birth, with no effective cross-checks in place to catch these inaccuracies. Additionally, the platform’s built-in tool for reporting underage accounts was found to be unnecessarily convoluted, requiring up to seven separate clicks just to reach the reporting form, rendering it largely ineffective for most users.

    EU officials pointed out that Meta’s own terms of service have long set 13 as the minimum age for platform access, but the company has failed to turn that written policy into actionable protection. “Terms and conditions should not be mere written statements, but rather the basis for concrete action to protect users — including children,” said Henna Virkkunen, the European Commissioner responsible for technology. Brussels also pushed back against Meta’s internal risk assessment, noting it contradicts widespread data across EU member states showing between 10 and 12 percent of all under-13s regularly access the two platforms.

    If the preliminary findings are finalized after the review period, the EU has the authority to impose fines equal to as much as 6 percent of Meta’s total global annual revenue, a penalty that could amount to billions of dollars for the company. Meta has rejected the EU’s conclusions, noting it has existing systems in place to identify and remove underage accounts. “We’re clear that Instagram and Facebook are intended for people aged 13 and older and we have measures in place to detect and remove accounts from anyone under that age,” a Meta spokesperson said, adding the company plans to continue constructive dialogue with EU regulators. The firm could still avoid financial penalties by implementing sufficient fixes to address the identified violations.

    Wednesday’s announcement is just one part of a broader EU push to rein in harmful practices from large technology companies when it comes to child safety online. Back in February, regulators issued an unprecedented warning to TikTok, demanding the platform alter its famously addictive algorithm design or face heavy fines. The ongoing Meta probe also includes additional investigations into the platforms’ impacts on user mental and physical health, as well as assessments of whether their design features intentionally encourage compulsive use.

    The EU’s child safety push has gained new momentum after Australia introduced a groundbreaking national ban on social media use for anyone under 16 earlier this year, putting intense political pressure on Brussels to adopt sweeping bloc-wide rules. Several EU member states have already floated national proposals to ban under-16s from social platforms, and the European Commission confirmed Wednesday it is currently exploring the feasibility of a uniform EU-wide age minimum for social media access. To support these upcoming rules, the Commission also announced this month that a purpose-built EU age verification app is complete and set to roll out across the bloc in the coming months, designed to replace the ineffective pop-up age confirmation banners currently used by most adult and social platforms. Just last month, regulators also penalized four major adult pornography platforms including Pornhub for failing to block underage access to their content in violation of EU digital rules.

    The DSA, the EU’s flagship digital regulation that forms the legal basis for this probe, has already faced fierce criticism from the administration of U.S. President Donald Trump, who has argued the rules unfairly target American technology companies.