Critical internet resources

UK tightens grip on Apple and Google mobile power

Apple and Google have been designated with strategic market status over UK mobile platforms. The CMA’s decision covers operating systems, app stores, browsers, and browser engines. Tailored conduct rules and special abuse oversight can now be imposed.

Regulators say entrenched power across iOS and Android risks limiting rivals and developers. The move is enabled by the UK’s DMCC framework and mirrors EU ambitions. Implementation will follow consultations on specific remedies for competition and consumer choice.

In Europe, gatekeeper rules already bite as Apple was fined €500 million over anti-steering. Alphabet faces preliminary findings over Play Store and search preferencing under the DMA. Further penalties could follow if non-compliance persists.

Both companies criticised the UK move, warning of harmed innovation and user experience. Google called the decision disappointing and disproportionate, while Apple attacked EU-style rules. The CMA also recently gave Google’s search and ads businesses SMS status.

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UC Santa Cruz uses NVIDIA AI to map global coastal flood risks

Researchers at the University of California, Santa Cruz, are using NVIDIA’s accelerated computing to model coastal flooding and support climate adaptation planning.

Led by Professor Michael Beck, the team develops high-resolution, GPU-powered visualisations to assess how coral reefs, mangroves, and dunes can reduce flood damage.

The centre employs NVIDIA CUDA-X software and RTX GPUs to speed up flood simulations from six hours to just 40 minutes. Using tools such as SFINCS and Unreal Engine 5, the team can now generate interactive visual models of storm impact scenarios, providing vital insights for governments and insurers.

The researchers’ current goal is to map flooding risks across small island states worldwide ahead of COP30. Their previous visualisations have already helped secure reef insurance policies in Mexico’s Mesoamerican Barrier Reef region, ensuring funding for coral restoration after severe storms.

A project, part of CoSMoS ADAPT, that aims to expand the US Geological Survey’s coastal modelling system and integrate nature-based solutions like dunes and reefs into large-scale flood resilience strategies.

Through NVIDIA’s technology and academic grants, the initiative demonstrates how accelerated computing can drive real-world environmental protection.

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General Motors unveils AI and robotics innovations for next-generation vehicles

General Motors showcased AI, robotics, and software at GM Forward, showing how cars are becoming intelligent assistants. CEO Mary Barra unveiled advances in autonomy, AI, computing, and energy, signalling a move toward smarter, safer, and more personalised vehicles.

GM plans to bring eyes-off driving to market in 2028, debuting on the Cadillac ESCALADE IQ electric SUV. The company has already mapped 600,000 miles of hands-free roads in North America, with Super Cruise drivers completing 700 million miles without a crash attributed to the system.

Cruise’s driverless technology adds over five million fully autonomous miles of experience, forming the foundation for GM’s next phase of personal autonomy.

Vehicles will also feature conversational AI powered by Google Gemini from next year, allowing drivers to interact naturally with their car. In the future, GM plans to introduce its own AI, fine-tuned to individual vehicles and driver preferences via OnStar.

A new centralised computing platform, launching in 2028, will integrate propulsion, steering, infotainment, and safety on a single high-speed core, increasing update capacity, bandwidth, and AI performance dramatically.

GM is also advancing robotics at its Autonomous Robotics Center and Mountain View lab. Collaborative robots trained on decades of production data are being deployed in US assembly plants to improve efficiency, safety, and workplace quality.

Additionally, GM’s EVs can provide backup power to homes and, from 2026, to the electrical grid, supported by an integrated home energy system and smartphone app. Together, these innovations mark a significant step toward intelligent, personalised, and sustainable mobility.

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UK data stays in the UK as OpenAI rolls out residency

OpenAI will offer UK data residency for API Platform, ChatGPT Enterprise, and ChatGPT Edu from October 24. The option, announced by Deputy PM David Lammy, is tied to a Ministry of Justice partnership. The government says it boosts privacy, security, and resilience for public services and business.

Lammy will unveil the ‘sovereign capability’ at OpenAI Frontiers, citing early MoJ efficiency gains. Over 1,000 probation officers will use Justice Transcribe to record and auto-transcribe offender meetings. Hours of admin shift to AI so staff can focus on supervision and public protection.

OpenAI CEO Sam Altman says UK usage has quadrupled in the past year. The company pitches AI as a way to save time and lift productivity across sectors. MoJ pilots have sparked interest from other departments, with broader adoption expected.

Data residency is a key blocker for regulated sectors, and this move aims to address that gap. Keeping data within the UK can simplify compliance and reduce perceived risk. It also underpins continuity plans by localising sensitive workloads.

ChatGPT Atlas, an AI-first web browser, was also announced this week. Its arrival could nudge users away from keyword searches toward conversational answers. OpenAI faces rivals Anthropic, Perplexity, and big tech incumbents in that shift.

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Kazakhstan to achieve full Internet access for all citizens by 2027

Kazakhstan aims to provide Internet access to its entire population by 2027 as part of the national ‘Affordable Internet’ project.

Deputy Prime Minister and Minister of AI and Digital Development Zhaslan Madiyev outlined the country’s digital transformation goals during a government session, highlighting plans to eliminate digital inequality and expand broadband connectivity.

Over one trillion tenge has been invested in telecommunications in the past three years, bringing average Internet speeds to 94 Mbps. By 2027, Kazakhstan expects to achieve 100% Internet coverage, speeds above 100 Mbps, and fiber-optic access for 90% of rural settlements.

Currently, 84% of villages already have mobile Internet, and 2,606 are connected to main fibre-optic lines.

The plan includes 4G coverage for 92% of settlements, 5G deployment in 20 cities, and 4G connectivity across 40,000 km of highways. Satellite Internet will reach 504 remote villages by 2025.

Madiyev also noted Kazakhstan’s strategic role in global data transit, with projects such as the Caspian Sea undersea fibre-optic line aiming to raise its share of international traffic from 1.5% to 5% by 2027.

An initiative that supports Kazakhstan’s ambition to become a regional IT hub by 2030, with the number of IT racks set to grow from 4,000 to 20,000, and at least nine Tier III-IV data centres planned.

The country has also launched the National Supercomputer Center ‘alem.cloud’ and the ‘Al-Farabium’ tech cluster to strengthen its digital ecosystem.

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USB inventor and Phison CEO warns of an AI storage crunch

Datuk Pua Khein-Seng, inventor of the single-chip USB flash drive and CEO of Phison, warns that AI machines will generate 1,000 times more data than humans. He says the real bottleneck isn’t GPUs but memory, foreshadowing a global storage crunch as AI scales.

Speaking at GITEX Global, Pua outlined Phison’s focus on NAND controllers and systems that can expand effective memory. Adaptive tiering across DRAM and flash, he argues, will ease constraints and cut costs, making AI deployments more attainable beyond elite data centres.

Flash becomes the expansion valve: DRAM stays scarce and expensive, while high-end GPUs are over-credited for AI cost overruns. By intelligently offloading and caching to NAND, cheaper accelerators can still drive useful workloads, widening access to AI capacity.

Cloud centralisation intensifies the risk. With the US and China dominating the AI cloud market, many countries lack the capital and talent to build sovereign stacks. Pua calls for ‘AI blue-collar’ skills to localise open source and tailor systems to real-world applications.

Storage leadership is consolidating in the US, Japan, Korea, and China, with Taiwan rising as a fifth pillar. Hardware strength alone won’t suffice, Pua says; Taiwan must close the AI software gap to capture more value in the data era.

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ChatGPT to exit WhatsApp after Meta policy change

OpenAI says ChatGPT will leave WhatsApp on 15 January 2026 after Meta’s new rules banning general-purpose AI chatbots on the platform. ChatGPT will remain available on iOS, Android, and the web, the company said.

Users are urged to link their WhatsApp number to a ChatGPT account to preserve history, as WhatsApp doesn’t support chat exports. OpenAI will also let users unlink their phone numbers after linking.

Until now, users could message ChatGPT on WhatsApp to ask questions, search the web, generate images, or talk to the assistant. Similar third-party bots offered comparable features.

Meta quietly updated WhatsApp’s business API to prohibit AI providers from accessing or using it, directly or indirectly. The change effectively forces ChatGPT, Perplexity, Luzia, Poke, and others to shut down their WhatsApp bots.

The move highlights platform risk for AI assistants and shifts demand toward native apps and web. Businesses relying on WhatsApp AI automations will need alternatives that comply with Meta’s policies.

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AWS outage turned a mundane DNS slip into global chaos

Cloudflare’s boss summed up the mood after Monday’s chaos, relieved his firm wasn’t to blame as outages rippled across more than 1,000 companies. Snapchat, Reddit, Roblox, Fortnite, banks, and government portals faltered together, exposing how much of the web leans on Amazon Web Services.

AWS is the backbone for a vast slice of the internet, renting compute, storage, and databases so firms avoid running their own stacks. However, a mundane Domain Name System error in its Northern Virginia region scrambled routing, leaving services online yet unreachable as traffic lost its map.

Engineers call it a classic failure mode: ‘It’s always DNS.’ Misconfigurations, maintenance slips, or server faults can cascade quickly across shared platforms. AWS says teams moved to mitigate, but the episode showed how a small mistake at scale becomes a global headache in minutes.

Experts warned of concentration risk: when one hyperscaler stumbles, many fall. Yet few true alternatives exist at AWS’s scale beyond Microsoft Azure and Google Cloud, with smaller rivals from IBM to Alibaba, and fledgling European plays, far behind.

Calls for UK–EU cloud sovereignty are growing, but timelines and costs are steep. Monday’s outage is a reminder that resilience needs multi-region and multi-cloud designs, tested failovers, and clear incident comms, not just faith in a single provider.

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AWS outage shows the cost of cloud concentration

A single fault can bring down the modern web. During the outage on Monday, 20 October 2025, millions woke to broken apps, games, banking, and tools after database errors at Amazon Web Services rippled outward. When a shared backbone stumbles, the blast radius engulfs everything from chat to commerce.

The outage underscored cloud concentration risk. Roblox, Fortnite, Pokémon Go, Snapchat, and workplace staples like Slack and Monday.com stumbled together because many depend on the same region and data layer. Failover, throttling, and retries help, but simultaneous strain can swamp safeguards.

On Friday, 19 July 2024, a faulty CrowdStrike update crashed Windows machines worldwide, triggering blue screens that grounded flights, delayed surgeries, and froze point-of-sale systems. The fix was simple; recovery wasn’t. Friday patches gained a new cautionary tale.

Earlier shocks foreshadowed today’s scale. In 1997, a Network Solutions glitch briefly hobbled .com and .net. In 2018, malware in Alaska’s Matanuska-Susitna knocked services offline, sending a community of 100,000 back to paper. Each incident showed how mundane errors cascade into civic life.

Resilience now means multi-region designs, cross-cloud failovers, tested runbooks, rate-limit backstops, and graceful read-only modes. Add regulatory stress tests, clear incident comms, and sector drills with hospitals, airlines, and banks. The internet will keep breaking; our job is to make it bend.

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Meta champions open hardware to power the next generation of AI data centres

The US tech giant, Meta, believes open hardware will define the future of AI data centre infrastructure. Speaking at the Open Compute Project Global Summit, the company outlined a series of innovations designed to make large-scale AI systems more efficient, sustainable, and collaborative.

Meta, one of the OCP’s founding members, said open source hardware remains essential to scaling the physical infrastructure required for the next generation of AI.

During the summit, Meta joined industry peers in supporting OCP’s Open Data Center Initiative, which calls for shared standards in power, cooling, and mechanical design.

The company also unveiled a new generation of network fabrics for AI training clusters, integrating NVIDIA’s Spectrum Ethernet to enable greater flexibility and performance.

As part of the effort, Meta became an initiating member of Ethernet for Scale-Up Networking, aiming to strengthen connectivity across increasingly complex AI systems.

Meta further introduced the Open Rack Wide (ORW) form factor, an open source data rack standard optimised for the power and cooling demands of modern AI.

Built on ORW specifications, AMD’s new Helios rack was presented as the most advanced AI rack yet, embodying the shift toward interoperable and standardised infrastructure.

Meta also showcased new AI hardware platforms built to improve performance and serviceability for large-scale generative AI workloads.

Sustainability remains central to Meta’s strategy. The company presented ‘Design for Sustainability’, a framework to reduce hardware emissions through modularity, reuse, and extended lifecycles.

It also shared how its Llama AI models help track emissions across millions of components. Meta said it will continue to

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