A new feature called ‘Stories’ from Character.AI allows users under 18 to create interactive fiction with their favourite characters. The move replaces open-ended chatbot access, which has been entirely restricted for minors amid concerns over mental health risks.
Open-ended AI chatbots can initiate conversations at any time, raising worries about overuse and addiction among younger users.
Several lawsuits against AI companies have highlighted the dangers, prompting Character.AI to phase out access for minors and introduce a guided, safety-focused alternative.
Industry observers say the Stories feature offers a safer environment for teens to engage with AI characters while continuing to explore creative content.
The decision aligns with recent AI regulations in California and ongoing US federal proposals to limit minors’ exposure to interactive AI companions.
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Sharjah is advancing its digital transformation efforts following the issuance of a new decree that established the Higher Committee for Digital Integration. The Crown Prince formed the body to strengthen oversight and guide government entities as the emirate seeks more coordinated progress.
The committee will report directly to the Executive Council and will be led by Sheikh Saud bin Sultan Al Qasimi from the Sharjah Digital Department.
Senior officials from several departments in the UAE will join him to enhance cooperation across the government, rather than leaving agencies to pursue separate digital plans.
Their combined expertise is expected to support stronger governance and reduce risks linked to large-scale transformation.
Its mandate covers strategic oversight, approval of key policies, alignment with national objectives and careful monitoring of digital projects.
The members will intervene when challenges arise, oversee investments and help resolve disputes so the emirate can maintain momentum instead of facing delays caused by fragmented decision-making.
Membership runs for two years, with the option of extension. The committee will continue its work until a successor group is formed and will provide regular reports on progress, challenges and proposed solutions to the Executive Council.
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Samsung Electronics and SK Telecom have taken a significant step toward shaping next-generation connectivity after signing an agreement to develop essential 6G technologies.
Their partnership centres on AI-based radio access networks, with both companies aiming to secure an early lead as global competition intensifies.
Research teams from Samsung and SK Telecom will build and test key components, including AI-based channel estimation, distributed MIMO and AI-driven schedulers.
AI models will refine signals in real-time to improve accuracy, rather than relying on conventional estimation methods. Meanwhile, distributed MIMO will enable multiple antennas to cooperate for reliable, high-speed communication across diverse environments.
The companies believe that AI-enabled schedulers and core networks will manage data flows more efficiently as the number of devices continues to rise.
Their collaboration also extends into the AI-RAN Alliance, where a jointly proposed channel estimation technology has already been accepted as a formal work item, strengthening their shared role in shaping industry standards.
Samsung continues to promote 6G research through its Advanced Communications Research Centre, and recent demonstrations at major industry events highlight the growing momentum behind AI-RAN technology.
Both organisations expect their work to accelerate the transition toward a hyperconnected 6G future, rather than allowing competing ecosystems to dominate early development.
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Private 5G is often dismissed as too complex or narrow, yet analysts argue it carries strong potential for mission-critical industries instead of consumer-centric markets.
Sectors that depend on high reliability, including manufacturing, logistics, energy and public safety, find public networks and Wi-Fi insufficient for the operational demands they face. The technology aligns with the rise of AI-enabled automation and may provide growth in a sluggish telecom landscape.
Success depends on the maturity of surrounding ecosystems. Devices, edge computing and integration models differ across industrial verticals, slowing adoption instead of enabling rapid deployment.
The increasing presence of physical AI systems, from autonomous drones to industrial vehicles, makes reliable connectivity even more important.
Debate intensified when Nokia considered divesting its private 5G division, raising doubts about commercial viability, yet industry observers maintain that every market involves unique complexity.
Private 5G extends beyond traditional telecom roles by supporting real-economy sectors such as factories, ports and warehouses. The challenge lies in tailoring networks to distinct operational needs instead of expecting a single solution for all industries.
Analysts also note that inflated expectations in 2019 created a perception of underperformance, although private cellular remains a vital piece in a broader ecosystem involving edge computing, device readiness and software integration.
Long-term outlooks remain optimistic. Analysts project an equipment market worth around $30 billion each year by 2040, supported by strong service revenue. Adoption will vary across industries, but its influence on public RAN markets is expected to grow.
Despite complexity, interest inside the telecom sector stays high, especially as enterprise venues search for reliable connectivity solutions that can support their digital transformation.
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Multiple London councils are responding to a cyberattack that has disrupted shared IT systems and raised concerns about data exposure. Kensington and Chelsea and Westminster councils detected the incident on Monday and alerted the Information Commissioner’s Office as investigations began.
The councils say they are working with specialist incident teams and the National Cyber Security Centre (NCSC) to protect systems and keep key services running. Several platforms have been affected, and staff have been redeployed to support residents through monitored phone lines and email channels.
Hammersmith and Fulham, which shares IT services with the affected councils, has also reported disruption. Local leaders say it is too early to confirm who was responsible or whether personal data has been compromised. Overnight mitigation work has been carried out as monitoring continues.
Security researchers describe indications of a serious intrusion involving lateral movement across shared infrastructure. They warn that attackers may escalate to data theft or encryption, given the sensitivity of the information held by local authorities.
National security agencies and police are assessing the incident’s potential impact. Analysts say the attack highlights long-standing risks facing councils that manage extensive services on limited budgets and with inconsistent cyber safeguards.
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The internet has become part of almost everything we do. It helps us work, stay in touch with friends and family, buy things, plan trips, and handle tasks that would have felt impossible until recently. Most people cannot imagine getting through the day without it.
But there is a hidden cost to all this convenience. Most of the time, online services run smoothly, with countless systems working together in the background. But every now and then, though, a key cog slips out of place.
When that happens, the effects can spread fast, taking down apps, websites, and even entire industries within minutes. These moments remind us how much we rely on digital services, and how quickly everything can unravel when something goes wrong. It raises an uncomfortable question. Is digital dependence worth the convenience, or are we building a house of cards that could collapse, pulling us back into reality?
Warning shots of the dot-com Era and the infancy of Cloud services
In its early years, the internet saw several major malfunctions that disrupted key online services. Incidents like the Morris worm in 1988, which crashed about 10 percent of all internet-connected systems, and the 1996 AOL outage that left six million users offline, revealed how unprepared the early infrastructure was for growing digital demand.
A decade later, the weaknesses were still clear. In 2007, Skype, then with over 270 million users, went down for nearly two days after a surge in logins triggered by a Windows update overwhelmed its network. Since video calls were still in their early days, the impact was not as severe, and most users simply waited it out, postponing chats with friends and family until the issue was fixed.
As the dot-com era faded and the 2010s began, the shift to cloud computing introduced a new kind of fragility. When Amazon’s EC2 and EBS systems in the US-East region went down in 2011, the outage took down services like Reddit, Quora, and IMDb for days, exposing how quickly failures in shared infrastructure can cascade.
A year later, GoDaddy’s DNS failure took millions of websites offline, while large-scale Gmail disruptions affected users around the world, early signs that the cloud’s growing influence came with increasingly high stakes.
By the mid-2010s, it was clear that the internet had evolved from a patchwork of standalone services to a heavily interconnected ecosystem. When cloud or DNS providers stumbled, their failures rippled simultaneously across countless platforms. The move to centralised infrastructure made development faster and more accessible, but it also marked the beginning of an era where a single glitch could shake the entire web.
Centralised infrastructure and the age of cascading failures
The late 2000s and early 2010s saw a rapid rise in internet use, with nearly 2 billion people worldwide online. As access grew, more businesses moved into the digital space, offering e-commerce, social platforms, and new forms of online entertainment to a quickly expanding audience.
With so much activity shifting online, the foundation beneath these services became increasingly important, and increasingly centralised, setting the stage for outages that could ripple far beyond a single website or app.
The next major hit came in 2016, when a massive DDoS attack crippled major websites across the USA and Europe. Platforms like Netflix, Reddit, Twitter, and CNN were suddenly unreachable, not because they were directly targeted, but because Dyn, a major DNS provider, had been overwhelmed.
The attack used the Mirai botnet malware to hijack hundreds of thousands of insecure IoT devices and flood Dyn’s servers with traffic. It was one of the clearest demonstrations yet that knocking out a single infrastructure provider could take down major parts of the internet in one stroke.
In 2017, another major outage occurred, with Amazon at the centre once again. On 28 February, the company’s Simple Storage Service (S3) went down for about 4 hours, disrupting access across a large part of the US-EAST-1 region. While investigating a slowdown in the billing system, an Amazon engineer accidentally entered a typo in a command, taking more servers offline than intended.
That small error was enough to knock out services like Slack, Quora, Coursera, Expedia and countless other websites that relied on S3 for storage or media delivery. The financial impact was substantial; S&P 500 companies alone were estimated to have lost roughly 150 million dollars during the outage.
Amazon quickly published a clear explanation and apology, but transparency could not undo the economic damage nor (yet another) sudden reminder that a single mistake in a centralised system could ripple across the entire web.
Outages in the roaring 2020s
The S3 incident made one thing clear. Outages were no longer just about a single platform going dark. As more services leaned on shared infrastructure, even small missteps could take down enormous parts of the internet. And this fragility did not stop at cloud storage.
Over the next few years, attention shifted to another layer of the online ecosystem: content delivery networks and edge providers that most people had never heard of but that nearly every website depended on.
The 2020s opened with one of the most memorable outages to date. On 4 October 2021, Facebook and its sister platforms, Instagram, WhatsApp, and Messenger, vanished from the internet for nearly 7 hours after a faulty BGP configuration effectively removed the company’s services from the global routing table.
Millions of users flocked to other platforms to vent their frustration, overwhelming Twitter, Telegram, Discord, and Signal’s servers and causing performance issues across the board. It was a rare moment when a single company’s outage sent measurable shockwaves across the entire social media ecosystem.
But what happens when outages hit industries far more essential than social media? In 2023, the Federal Aviation Administration was forced to delay more than 10,000 flights, the first nationwide grounding of air traffic since the aftermath of September 11.
A corrupted database file brought the agency’s Notice to Air Missions (NOTAM) system to a standstill, leaving pilots without critical safety updates and forcing the entire aviation network to pause. The incident sent airline stocks dipping and dealt another blow to public confidence, showing just how disruptive a single technical failure can be when it strikes at the heart of critical infrastructure.
Outages that defined 2025
The year 2025 saw an unprecedented wave of outages, with server overloads, software glitches and coding errors disrupting services across the globe. The Microsoft 365 suite outage in January, the Southwest Airlines and FAA synchronisation failure in April, and the Meta messaging blackout in July all stood out for their scale and impact.
But the most disruptive failures were still to come. In October, Amazon Web Services suffered a major outage in its US-East-1 region, knocking out everything from social apps to banking services and reminding the world that a fault in a single cloud region can ripple across thousands of platforms.
Just weeks later, the Cloudflare November outage became the defining digital breakdown of the year. A logic bug inside its bot management system triggered a cascading collapse that took down social networks, AI tools, gaming platforms, transit systems and countless everyday websites in minutes. It was the clearest sign yet that when core infrastructure falters, the impact is immediate, global and largely unavoidable.
And yet, we continue to place more weight on these shared foundations, trusting they will hold because they usually do. Every outage, whether caused by a typo, a corrupted file, or a misconfigured update, exposes how quickly things can fall apart when one key piece gives way.
Going forward, resilience needs to matter as much as innovation. That means reducing single points of failure, improving transparency, and designing systems that can fail without dragging everything down. The more clearly we see the fragility of the digital ecosystem, the better equipped we are to strengthen it.
Outages will keep happening, and no amount of engineering can promise perfect uptime. But acknowledging the cracks is the first step toward reinforcing what we’ve built — and making sure the next slipped cog does not bring the whole machine to a stop.
The smoke and mirrors of the digital infrastructure
The internet is far from destined to collapse, but resilience can no longer be an afterthought. Redundancy, decentralisation and smarter oversight need to be part of the discussion, not just for engineers, but for policymakers as well.
Outages do not just interrupt our routines. They reveal the systems we have quietly built our lives around. Each failure shows how deeply intertwined our digital world has become, and how fast everything can stop when a single piece gives way.
Will we learn enough from each one to build a digital ecosystem that can absorb the next shock instead of amplifying it? Only time will tell.
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Enterprise AI entered a new phase as organisations transitioned from simple, prompt-driven tools to autonomous agents capable to acting within complex workflows.
Leaders now face a reality where agentic systems can accelerate development, improve decision-making, and support employees, yet concerns over unreliable data and inconsistent behaviour still weaken trust.
AI adoption has risen sharply, although many remain cautious about committing fully without stronger safeguards in place.
The next stage will rely on multi-agent models where an orchestrator coordinates specialised agents across departments. Single agents will lose effectiveness if they fail to offer scalable value, as enterprises require communication protocols, unified context, and robust governance.
Agents will increasingly pursue outcomes rather than follow instructions. At the same time, event-driven automation will allow them to detect problems, initiate analysis, and collaborate with other agents without waiting for human prompts. Simulation environments will further accelerate learning and strengthen reliability.
Trusted AI will become a defining competitive factor. Brands will be judged by the quality, personalisation, and relational intelligence of their agents rather than traditional identity markers.
Effective interfaces, transparent governance, and clear metrics for agent adherence will shape customer loyalty and shareholder confidence.
Cybersecurity will shift toward autonomous, self-healing digital immune systems, while advances in spatially aware AI will accelerate robotics and immersive simulations across various industries.
Broader impacts will reshape workplace culture. AI-native engineers will shorten development cycles, while non-technical employees will create personal applications, rather than relying solely on central teams.
Ambient intelligence may push new hardware into the mainstream, and sustainability debates will increasingly focus on water usage in data-intensive AI systems. Governments are preparing to upskill public workforces, and consumer agents will pressure companies to offer better value.
Long-term success will depend on raising AI literacy and selecting platforms designed for scalable, integrated, and agentic operations.
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Yesterday, Canada announced that it has moved forward with a significant partnership that places Nokia at the centre of national ambitions for advanced 5G research.
A groundbreaking event in Ottawa marked the beginning of an expanded programme of work focused on AI, machine learning and next-generation network development. Government ministers emphasised that the investment enhances digital infrastructure, rather than relying on outdated foundations that limit growth.
Nokia plans to revitalise and enlarge its Ottawa facility by adding new lab space and new streams of research activity. The project is expected to create more than 300 jobs and widen opportunities for post-secondary students, strengthening the region’s technology base.
Canada has contributed $40 million through the Strategic Response Fund to support these developments and reinforce the country’s role in the global telecommunications sector.
Government officials argued that the collaboration will fuel economic prosperity and broaden Canada’s capacity to innovate. Advanced 5G networks are expected to bring benefits extending from defence and telecommunications to clean energy, precision agriculture and modern telemedicine.
Ministers presented the partnership as a means to a highly skilled workforce, rather than one that relies on imported expertise.
Nokia’s leadership described the project as a long-term commitment to Canada’s innovation ecosystem. The company highlighted the importance of local talent, secure digital infrastructure and future-oriented research in AI, quantum technology and advanced connectivity.
The expansion strengthens Canada’s position as a leader in next-generation networks and supports an innovation-driven economy.
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According to the 2025 Identity Fraud Report by verification firm Sumsub, the global rate of identity fraud has declined modestly, from 2.6% in 2024 to 2.2% this year; however, the nature of the threat is changing rapidly.
Fraudsters are increasingly using generative AI and deepfakes to launch what Sumsub calls ‘sophisticated fraud’, attacks that combine synthetic identities, social engineering, device tampering and cross-channel manipulation. These are not mass spam scams: they are targeted, high-impact operations that are far harder to detect and mitigate.
The report reveals a marked increase in deepfake-related schemes, including synthetic-identity fraud (the creation of entirely fake but AI-generated identities) and biometric forgeries designed to bypass identity verification processes. Deepfake-fraud and synthetic-identity attacks now represent a growing share of first-party fraud cases (where the verified ‘user’ is actually the fraudster).
Meanwhile, high-risk sectors such as dating apps, cryptocurrency exchanges and financial services are being hit especially hard. In 2025, romance-style scams involving AI personas and deepfakes accounted for a notable share of fraud cases. Banks, digital-first lenders and crypto platforms report rising numbers of impostor accounts and fraudulent onboarding attempts.
This trend reveals a significant disparity: although headline fraud rates have decreased slightly, each successful AI-powered fraud attempt now tends to be far more damaging, both financially and reputationally. As Sumsub warned, the ‘sophistication shift’ in digital identity fraud means that organisations and users must rethink security assumptions.
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Amazon Web Services plans to invest $50 billion in high performance AI infrastructure dedicated to US federal agencies. The programme aims to broaden access to AWS tools such as SageMaker AI, Bedrock and model customisation services, alongside support for Anthropic’s Claude.
The expansion will add around 1.3 gigawatts of compute capacity, enabling agencies to run larger models and speed up complex workloads. AWS expects construction of the new data centres to begin in 2026, marking one of its most ambitious government-focused buildouts to date.
Chief executive Matt Garman argues the upgrade will remove long-standing technology barriers within government. The company says enhanced AI capabilities could accelerate work in areas ranging from cybersecurity to medical research while strengthening national leadership in advanced computing.
AWS has spent more than a decade developing secure environments for classified and sensitive government operations. Competitors have also stepped up US public sector offerings, with OpenAI, Anthropic and Google all rolling out heavily discounted AI products for federal use over the past year.
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