Digital standards

Cloudflare outage disrupts leading crypto platforms

Cloudflare experienced a significant network outage on Tuesday, which disrupted access to major cryptocurrency platforms, including Coinbase, Kraken, Etherscan, and several DeFi services, resulting in widespread ‘500 Internal Server Error’ messages.

The company acknowledged the issue as an internal service degradation across parts of its global network and began rolling out a fix. However, users continued to face elevated error rates during the process.

Major Bitcoin and Ethereum platforms, as well as Aave, DeFiLlama, and several blockchain explorers, were impacted. The disruption spread beyond crypto, affecting several major Web2 platforms, while services like BlueSky and Reddit stayed fully operational.

Cloudflare shares dropped 3.5% in pre-market trading as the company investigated whether scheduled maintenance at specific data centres played any role.

The incident marks the third significant Cloudflare disruption affecting crypto platforms since 2019, highlighting the industry’s ongoing reliance on centralised infrastructure providers despite its focus on decentralisation.

Industry experts pointed to recent outages from Cloudflare and Amazon Web Services as evidence that critical digital services cannot rely solely on a single vendor for reliability. Kraken restored access ahead of many peers, while Cloudflare stated that the issue was resolved and would continue to monitor for full stability.

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AI search tools put to the test in UK study

AI tools are shaping online searches, but testing reveals notable risks in relying on them. ChatGPT, Google Gemini, Microsoft Copilot, Meta AI, and Perplexity were tested on 40 questions in finance, law, health, and consumer rights.

Results show errors, incomplete advice, and ethical oversights remain widespread despite AI’s popularity.

More than half of UK adults now use AI for online searches, with frequent users showing higher trust in the responses. Around one in ten regularly seeks legal advice from AI, while others use it for financial or medical guidance.

Experts warn that overconfidence in AI recommendations could lead to costly mistakes, particularly when rules differ across regions in the UK.

Perplexity outperformed other tools in accuracy and reliability, while ChatGPT ranked near the bottom. Google’s AI overview (AIO) often delivers better results for legal and health queries, while its Gemini chatbot scores higher on finance and consumer questions.

Users are encouraged to verify sources, as many AI outputs cite vague or outdated references and occasionally promote questionable services.

Despite flaws, AI remains a valuable tool for basic research, summarising information quickly and highlighting key points. Experts advise using multiple AI tools and consulting professionals for complex financial, legal, or medical matters.

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AI energy demand strains electrical grids

Microsoft CEO Satya Nadella recently delivered a key insight, stating that the biggest hurdle to deploying new AI solutions is now electrical power, not chip supply. The massive energy requirements for running large language models (LLMs) have created a critical bottleneck for major cloud providers.

Nadella specified that Microsoft currently has a ‘bunch of chips sitting in inventory’ that cannot be plugged in and utilised. The problem is a lack of ‘warm shells’, meaning data centre buildings that are fully equipped with the necessary power and cooling capacity.

The escalating power requirements of AI infrastructure are placing extreme pressure on utility grids and capacity. Projections from the Lawrence Berkeley National Laboratory indicate that US data centres could consume up to 12 percent of the nation’s total electricity by 2028.

The disclosure should serve as a warning to investors, urging them to evaluate the infrastructure challenges alongside AI’s technological promise. This energy limitation could create a temporary drag on the sector, potentially slowing the massive projected returns on the $5 trillion investment.

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Microsoft and NVIDIA expand partnership with Anthropic

Microsoft, NVIDIA, and Anthropic have announced new strategic partnerships to expand access to Anthropic’s rapidly growing Claude AI models. Claude will scale on Microsoft Azure with NVIDIA support, offering enterprise customers broader model choices and enhanced capabilities.

Anthropic has committed to purchase $30 billion of Azure compute capacity and additional capacity up to one gigawatt. NVIDIA and Anthropic will optimise Claude models for performance, efficiency, and cost, while aligning future NVIDIA architectures with Anthropic workloads.

The partnerships also extend Claude access across Microsoft Foundry, including frontier models like Claude Sonnet 4.5, Claude Opus 4.1, and Claude Haiku 4.5.

Microsoft Copilot products, including GitHub Copilot, Microsoft 365 Copilot, and Copilot Studio, will continue to feature Claude capabilities, providing enterprise users with integrated AI tools.

Microsoft and NVIDIA have committed $5 billion and $10 billion respectively to support Anthropic’s growth. The partnership makes Claude the only frontier AI model on all three top cloud platforms, boosting enterprise AI adoption and innovation.

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AI threatens global knowledge diversity

AI systems are increasingly becoming the primary source of global information, yet they rely heavily on datasets dominated by Western languages and institutions.

Such reliance creates significant blind spots that threaten to erase centuries of indigenous wisdom and local traditions not currently found in digital archives.

Dominant language models often overlook oral histories and regional practices, including specific ecological knowledge essential for sustainable living in tropical climates.

Experts warn of a looming ‘knowledge collapse’ where alternative viewpoints fade away simply because they are statistically less prevalent in training data.

Future generations may find themselves disconnected from vital human insights as algorithms reinforce a homogenised worldview through recursive feedback loops.

Preserving diverse epistemologies remains crucial for addressing global challenges, such as the climate crisis, rather than relying solely on Silicon Valley’s version of intelligence.

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CelcomDigi convergence project earns ZTE top 5G service honour

ZTE has won the Best Mobile/5G Service Innovation award at the 2025 Global Connectivity Awards for its work on Malaysia’s CelcomDigi dual-network convergence. The project integrates network assets across four regions and six operators, marking the largest deployment of its kind in the country.

The company introduced an intelligent, integrated, and connected management model built on big-data platforms for site deployment, optimisation, and value analysis. Eight smart tools support planning, commissioning, and operations, enabling end-to-end oversight of project delivery and performance.

Phase-one results show a 15 percent rise in coverage, 25 percent faster downloads, higher traffic, and a more than 60 percent reduction in complaints. ZTE also deployed AI-based energy-saving systems to reduce emissions and advance sustainability goals across the network.

The project incorporates talent-building measures by prioritising localisation and working with Malaysian universities. ZTE says this approach supports long-term sector resilience alongside near-term performance gains.

CAPACITY’s Global Connectivity Awards, held in Malaysia, evaluate innovation, execution, and industry impact. ZTE states that it will continue to develop new project management models and partner globally to build more efficient, intelligent, and sustainable communications networks.

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Old laws now target modern tracking technology

Class-action privacy litigation continues to grow in frequency, repurposing older laws to address modern data tracking technologies. Recent high-profile lawsuits have applied the California Invasion of Privacy Act and the Video Privacy Protection Act.

A unanimous jury verdict recently found Meta Platforms violated CIPA Section 632 (which is now under appeal) by eavesdropping on users’ confidential communications without consent. The court ruled that Meta intentionally used its SDK within a sexual health app, Flo, to intercept sensitive real-time user inputs.

That judgement suggests an electronic device under the statute need not be physical, with a user’s phone qualifying as the requisite device. The legal success in these cases highlights a significant, rising risk for all companies utilising tracking pixels and software development kits (SDKs).

Separately, the VPPA has found new power against tracking pixels in the case of Jancik v. WebMD concerning video-viewing data. The court held that a consumer need not pay for a video service but can subscribe by simply exchanging their email address for a newsletter.

Companies must ensure their privacy policies clearly disclose all such tracking conduct to obtain explicit, valid consent. The courts are taking real-time data interception seriously, noting intentionality may be implied when a firm fails to stem the flow of sensitive personally identifiable information.

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ALX and Anthropic partner with Rwanda on AI education

A landmark partnership between ALX, Anthropic, and the Government of Rwanda has launched a major AI learning initiative across Africa.

The program introduces ‘Chidi’, an AI-powered learning companion built on Anthropic’s Claude model. Instead of providing direct answers, the system is designed to guide learners through critical thinking and problem-solving, positioning African talent at the centre of global tech innovation.

An initiative, described as one of the largest AI-enhanced education deployments on the continent, that will see Chidi integrated into Rwanda’s public education system. A pilot phase will involve up to 2,000 educators and select civil servants.

According to the partners, the collaboration aims to ensure Africa’s youth become creators of AI technology instead of remaining merely consumers of it.

A three-way collaboration that unites ALX’s training infrastructure, Anthropic’s AI technology, and Rwanda’s progressive digital policy. The working group, the researchers noted, will document insights to inform Rwanda’s national AI policy.

The initiative sets a new standard for inclusive, AI-powered learning, with Rwanda serving as a launch hub for future deployments across the continent.

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Google launches WeatherNext 2 for faster forecasts

WeatherNext 2, Google’s latest AI forecasting model, offers significantly faster and more precise weather predictions. Developed by DeepMind and Google Research, the model produces forecasts eight times faster with hourly resolution, aiding decisions from supply chains to daily commutes.

The model generates hundreds of weather scenarios from a single starting point, enabling agencies and businesses to plan for all potential outcomes, including extreme events.

Its predictions outperform the previous WeatherNext model on 99.9% of variables, providing more accurate forecasts for temperature, wind, humidity, and other factors.

A Functional Generative Network (FGN) powers WeatherNext 2, allowing it to predict both individual weather elements and complex interconnected systems. The system enables applications such as forecasting regional heatwaves or wind farm output, while keeping predictions physically realistic.

Forecast data is available through Google Earth Engine, BigQuery, and an early access programme on Vertex AI, while WeatherNext 2 now powers Search, Gemini, Pixel Weather, and Google Maps’ Weather API.

Google plans to expand access further, supporting researchers, developers, and businesses to make informed decisions and accelerate scientific discovery.

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Cloudflare buys AI platform Replicate

Cloudflare has agreed to purchase Replicate, a platform simplifying the deployment and running of AI models. The technology aims to cut down on GPU hardware and infrastructure needs typically required for complex AI.

The acquisition will integrate Replicate’s extensive library of over 50,000 AI models into the Cloudflare platform. Developers can then access and deploy any AI model globally using just a single line of code for rapid implementation.

Matthew Prince, Cloudflare’s chief executive, stated the acquisition will make his company the ‘most seamless, all-in-one shop for AI development’. The move abstracts away infrastructure complexities so developers can focus only on delivering amazing products.

Replicate had previously raised $40m in venture funding from prominent investors in the US. Integrating Replicate’s community and models with Cloudflare’s global network will create a singular platform for building tomorrow’s next big AI applications.

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