Critical internet resources

AI-powered Google Photos features land on iOS, search expands to 100+ countries

Google Photos is introducing prompt-based edits, an ‘Ask’ button, and style templates across iOS and Android. In the US, iPhone users can describe edits by voice or text, with a redesigned editor for faster controls. The rollout builds on the August Pixel 10’s debut of prompt editing.

Personalised edits now recognise people from face groups, so you can issue multi-person requests, such as removing sunglasses or opening eyes. Find it under ‘Help me edit’, where changes apply to each named person. It’s designed for faster, more granular everyday fixes.

A new Ask button serves as a hub for AI requests, from questions about a photo to suggested edits and related moments. The interface surfaces chips that hint at actions users can take. The Ask experience is rolling out in the US on both iOS and Android.

Google is also adding AI templates that turn a single photo into set formats, such as retro portraits or comic-style panels. The company states that its Nano Banana model powers these creative styles and that templates will be available next week under the Create tab on Android in the US and India.

AI search in Google Photos, first launched in the US, is expanding to over 100 countries with support for 17 languages. Markets include Argentina, Australia, Brazil, India, Japan, Mexico, Singapore, and South Africa. Google says this brings natural-language photo search to a far greater number of users.

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Google flags adaptive malware that rewrites itself with AI

Hackers are experimenting with malware that taps large language models to morph in real time, according to Google’s Threat Intelligence Group. An experimental family dubbed PROMPTFLUX can rewrite and obfuscate its own code as it executes, aiming to sidestep static, signature-based detection.

PROMPTFLUX interacts with Gemini’s API to request on-demand functions and ‘just-in-time’ evasion techniques, rather than hard-coding behaviours. GTIG describes the approach as a step toward more adaptive, partially autonomous malware that dynamically generates scripts and changes its footprint.

Investigators say the current samples appear to be in development or testing, with incomplete features and limited Gemini API access. Google says it has disabled associated assets and has not observed a successful compromise, yet warns that financially motivated actors are exploring such tooling.

Researchers point to a maturing underground market for illicit AI utilities that lowers barriers for less-skilled offenders. State-linked operators in North Korea, Iran, and China are reportedly experimenting with AI to enhance reconnaissance, influence, and intrusion workflows.

Defenders are turning to AI, using security frameworks and agents like ‘Big Sleep’ to find flaws. Teams should expect AI-assisted obfuscation, emphasise behaviour-based detection, watch model-API abuse, and lock down developer and automation credentials.

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Data infrastructure growth in India raises environmental concerns

India’s data centre market is expanding rapidly, driven by rapid AI adoption, mobile internet growth, and massive foreign investment from firms such as Google, Amazon and Meta. The sector is projected to expand 77% by 2027, with billions more expected to be spent on capacity by 2030.

Rapid expansion of energy-hungry and water-intensive facilities is creating serious sustainability challenges, particularly in water-scarce urban clusters like Mumbai, Hyderabad and Bengaluru. Experts warn that by 2030, India’s data centre water consumption could reach 358 billion litres, risking shortages for local communities and critical services in India.

Authorities and industry players are exploring solutions including treated wastewater, low-stress basin selection, and zero-water cooling technologies to mitigate environmental impact. Officials also highlight the need to mandate renewable energy use to balance India’s digital ambitions with decarbonisation goals.

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Researchers urge governance after LLMs display source-driven bias

Large language models (LLMs) are increasingly used to grade, hire, and moderate text. UZH research shows that evaluations shift when participants are told who wrote identical text, revealing source bias. Agreement stayed high only when authorship was hidden.

When told a human or another AI wrote it, agreement fell, and biases surfaced. The strongest was anti-Chinese across all models, including a model from China, with sharp drops even for well-reasoned arguments.

AI models also preferred ‘human-written’ over ‘AI-written’, showing scepticism toward machine-authored text. Such identity-triggered bias risks unfair outcomes in moderation, reviewing, hiring, and newsroom workflows.

Researchers recommend identity-blind prompts, A/B checks with and without source cues, structured rubrics focused on evidence and logic, and human oversight for consequential decisions.

They call for governance standards: disclose evaluation settings, test for bias across demographics and nationalities, and set guardrails before sensitive deployments. Transparency on prompts, model versions, and calibration is essential.

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Meta invests $600 billion to expand AI data centres across the US

A $600 billion investment aimed at boosting innovation, job creation, and sustainability is being launched in the US by Meta to expand its AI infrastructure.

Instead of outsourcing development, the company is building its new generation of AI data centres domestically, reinforcing America’s leadership in technology and supporting local economies.

Since 2010, Meta’s data centre projects have supported more than 30,000 skilled trade jobs and 5,000 operational roles, generating $20 billion in business for US subcontractors. These facilities are designed to power Meta’s AI ambitions while driving regional economic growth.

The company emphasises responsible development by investing heavily in renewable energy and water efficiency. Its projects have added 15 gigawatts of new energy to US power grids, upgraded local infrastructure, and helped restore water systems in surrounding communities.

Meta aims to become fully water positive by 2030.

Beyond infrastructure, Meta has channelled $58 million into community grants for schools, nonprofits, and local initiatives, including STEM education and veteran training programmes.

As AI grows increasingly central to digital progress, Meta’s continued investment in sustainable, community-focused data centres underscores its vision for a connected, intelligent future built within the US.

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UN treaty sparks debate over digital cybersecurity

A new UN cybercrime treaty opened for signature on 25 October, raising concerns about digital cybersecurity and privacy protections. The treaty allows broad cross-border cooperation on serious crimes, potentially requiring states to assist investigations that conflict with domestic laws.

Negotiations revealed disagreements over the treaty’s scope and human rights standards, primarily because it grants broad surveillance powers without clearly specifying safeguards for privacy and digital rights. Critics warn that these powers could be misused, putting digital cybersecurity and the rights of citizens at risk.

Governments supporting the treaty are advised to adopt safeguards, including limiting intrusive monitoring, conditioning cooperation on dual criminality, and reporting requests for assistance transparently. Even with these measures, experts caution that the treaty could pose challenges to global digital cybersecurity protection.

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AWS launches Fastnet, a subsea cable to strengthen transatlantic cloud and AI connectivity

Amazon Web Services has announced Fastnet, a high-capacity transatlantic subsea cable connecting Maryland and County Cork.

Set to be operational in 2028, Fastnet will expand AWS’s network resilience and deliver faster, more reliable cloud and AI services between the US and Europe.

The cable’s unique route provides critical redundancy, ensuring service continuity even when other cables face disruptions. Capable of transmitting over 320 terabits per second, Fastnet supports large-scale cloud computing and AI workloads while integrating directly into AWS’s global infrastructure.

The system’s design enables real-time data redirection and long-term scalability to meet the increasing demands of AI and edge computing.

Beyond connectivity, AWS is investing in community benefit funds for Maryland and County Cork, supporting local sustainability, education, and workforce development.

A project that reflects AWS’s wider strategy to reinforce critical digital infrastructure and strengthen global innovation in the cloud economy.

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Cloudflare chief warns AI is redefining the internet’s business model

AI is inserting itself between companies and customers, Cloudflare CEO Matthew Prince warned in Toronto. More people ask chatbots before visiting sites, dulling brands’ impact. Even research teams lose revenue as investors lean on AI summaries.

Frontier models devour data, pushing firms to chase exclusive sources. Cloudflare lets publishers block unpaid crawlers to reclaim control and compensation. The bigger question, said Prince, is which business model will rule an AI-mediated internet.

Policy scrutiny focuses on platforms that blend search with AI collection. Prince urged governments to separate Google’s search access from AI crawling to level the field. Countries that enforce a split could attract publishers and researchers seeking predictable rules and payment.

Licensing deals with news outlets, Reddit, and others coexist with scraping disputes and copyright suits. Google says it follows robots.txt, yet testimony indicated AI Overviews can use content blocked by robots.txt for training. Vague norms risk eroding incentives to create high-quality online content.

A practical near-term playbook combines technical and regulatory steps. Publishers should meter or block AI crawlers that do not pay. Policymakers should require transparency, consent, and compensation for high-value datasets, guiding the shift to an AI-mediated web that still rewards creators.

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EU invests €107 million in RAISE for AI in science

The European Commission has unveiled RAISE, a new virtual institute designed to unite Europe’s AI research and accelerate scientific breakthroughs.

The launch, announced in Copenhagen, marks a flagship moment in the EU’s strategy to strengthen its leadership in science and technology through collective action.

Funded with €107 million under Horizon Europe, RAISE will bring together Europe’s best resources in data, computing power, and research talent.

An initiative that will help scientists apply AI to pressing challenges such as cancer treatment, climate change, and natural disaster prediction, while promoting innovation that serves humanity instead of commercial interests alone.

RAISE will work with the EuroHPC Joint Undertaking to secure access to AI Gigafactories and will dedicate €75 million to train and attract global researchers through Networks of Excellence.

The Commission also plans to double Horizon Europe’s annual AI investments to more than €3 billion, ensuring that the EU remains a global leader in scientific AI.

A project that reflects the EU’s ambition to achieve technological sovereignty and create an inclusive AI ecosystem. As RAISE grows in phases towards 2034, it will strengthen cooperation among Member States, academia, and industry, setting a benchmark for responsible and innovative AI in science.

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AWS becomes key partner in OpenAI’s $38 billion AI growth plan 

Amazon Web Services (AWS) and OpenAI have entered a $38 billion, multi-year partnership that will see OpenAI run and scale its AI workloads on AWS infrastructure. The seven-year deal grants OpenAI access to vast NVIDIA GPU clusters and the capacity to scale to millions of CPUs.

The collaboration aims to meet the growing global demand for computing power driven by rapid advances in generative AI.

OpenAI will immediately begin using AWS compute resources, with all capacity expected to be fully deployed by the end of 2026. The infrastructure will optimise AI performance by clustering NVIDIA GB200 and GB300 GPUs via Amazon EC2 UltraServers for low-latency, large-scale processing.

These clusters will support tasks such as training new models and serving inference for ChatGPT.

OpenAI CEO Sam Altman said the partnership would help scale frontier AI securely and reliably, describing it as a foundation for ‘bringing advanced AI to everyone.’ AWS CEO Matt Garman noted that AWS’s computing power and reliability make it uniquely positioned to support OpenAI’s growing workloads.

The move strengthens an already active collaboration between the two firms. Earlier this year, OpenAI’s models became available on Amazon Bedrock, enabling AWS clients such as Peloton, Thomson Reuters, and Comscore to adopt advanced AI tools.

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