AI data centre surge pushes electricity demand in the UK to new heights

The UK faces rising pressure on its electricity system as about 140 new data centre projects could demand more power than the country’s current peak consumption, according to Ofgem.

The regulator said developers are seeking about 50 gigawatts of capacity, a level driven by rapid growth in AI and far beyond earlier forecasts.

Connection requests have surged since late 2024, placing strain on a grid already struggling to support vital renewable projects that are key to national climate targets.

Work needed to connect expanding data centre capacity could delay schemes considered essential for decarbonisation and economic growth, instead of supporting the transition at the required pace.

The growing electricity footprint of AI infrastructure also threatens the aim of creating a virtually carbon-free power system by 2030, particularly as high costs and slow grid integration continue to hinder progress.

A proposed data centre in Lincolnshire has already raised concerns by projecting emissions greater than those of several international airports combined.

Ofgem now warns that speculative grid applications are blocking more viable projects, including those tied to government AI growth zones.

The regulator is considering more stringent financial requirements and new fees for access to grid connections, arguing that developers may need to build their own routes to the network rather than rely entirely on existing infrastructure.

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OpenAI model revises proof claim

OpenAI has published its attempts to solve all 10 problems in the First Proof challenge, a research-level maths test designed to assess whether AI can produce checkable, domain-specific proofs. Leading experts created the issues and require extended reasoning rather than short answers.

The company said at least five of its proof attempts are likely correct following expert feedback, although one previously confident submission has now been judged incorrect. Several other attempts remain under review as specialists continue to assess the arguments.

According to OpenAI, the evaluation involved limited human supervision, with researchers sometimes prompting the model to refine or clarify reasoning. The process included exchanges between an internal model and ChatGPT for verification, formatting and style adjustments.

OpenAI described frontier research challenges, such as First Proof, as crucial for testing next-generation AI systems. The company said it plans to deepen its engagement with academics to develop more rigorous evaluation frameworks for research-grade reasoning.

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OpenClaw exploits spark a major security alert

A wave of coordinated attacks has targeted OpenClaw, the autonomous AI framework that gained rapid popularity after its release in January.

Multiple hacking groups have taken advantage of severe vulnerabilities to steal API keys, extract persistent memory data, and push information-stealing malware instead of leaving the platform’s expanding user base unharmed.

Security analysts have linked more than 30,000 compromised instances to campaigns that intercept messages and deploy malicious payloads through channels such as Telegram.

Much of the damage stems from flaws such as the Remote Code Execution vulnerability CVE-2026-25253, supply chain poisoning, and exposed administrative interfaces. Early attacks centred on the ‘ClawHavoc’ campaign, which disguised malware as legitimate installation tools.

Users who downloaded these scripts inadvertently installed stealers capable of full compromise, enabling attackers to move laterally across enterprise systems instead of being confined to a single device.

Further incidents emerged on the OpenClaw marketplace, where backdoored ‘skills’ were published from accounts that appeared reliable. These updates executed remote commands that allowed attackers to siphon OAuth tokens, passwords, and API keys in real time.

A Shodan scan later identified more than 312,000 OpenClaw instances running on a default port with little or no protection, while honeypots recorded hostile activity within minutes of appearing online.

Security researchers argue that the surge in attacks marks a decisive moment for autonomous AI frameworks. As organisations experiment with agents capable of independent decision-making, the absence of security-by-design safeguards is creating opportunities for organised threat groups.

Flare’s advisory urges companies to secure credentials and isolate AI workloads instead of relying on default configurations that expose high-privilege systems to the internet.

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Cloudflare outage causes global internet disruption after an internal error

A major outage on 20 February disrupted global internet traffic after an internal configuration failure at Cloudflare caused the unintended withdrawal of customer BGP routes.

The incident lasted just over six hours and left numerous services unreachable, despite early fears of a cyberattack. An internal update led to the systematic deletion of more than a thousand Bring Your Own IP prefixes, which pushed many connections into BGP path hunting instead of stable routing.

Engineers traced the disruption to an error in the company’s Addressing API, introduced during an automated cleanup task under the Code Orange resilience programme.

A flawed query interpreted an empty value as an instruction to delete all returned prefixes, removing essential bindings for hundreds of customers. Some users restored connectivity through the dashboard, while others required manual reconstruction carried out across the edge network.

An outage that affected a series of core offerings, including content delivery, security layers, dedicated egress and network protection services. Restoration took several hours because the withdrawn prefixes varied in severity, demanding different recovery methods instead of a uniform reinstatement process.

The error triggered widespread timeouts on dependent websites and applications, along with 403 responses on the 1.1.1.1 DNS resolver.

Cloudflare plans to introduce stricter API validation, circuit breakers for abnormal deletion patterns, and improved configuration separation. It has also issued a public apology for a failure that undermined its assurances of network resilience.

An event that reaffirmed the risks posed by internal automation faults when they interact with critical internet infrastructure.

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Altman urges urgent AI regulation

OpenAI chief Sam Altman has called for urgent global regulation of AI, speaking at the AI Impact Summit in New Delhi. Addressing leaders and executives in New Delhi, he said the rapid pace of development demands coordinated international oversight.

In New Delhi, Altman suggested creating a body similar to the International Atomic Energy Agency to oversee advanced AI systems. He warned that highly capable open source biomodels could pose serious biosecurity risks if misused.

Altman argued in New Delhi that democratising AI is essential to prevent power from being concentrated in a single company or country. He added that safeguards are urgently required, even as technology continues to disrupt labour markets.

During the summit in New Delhi, Altman said ChatGPT has 100 million weekly users in India, with more than a third being students. OpenAI also announced plans with Tata Consultancy Services to build data centre infrastructure in India.

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Reload launches Epic to bring shared memory and structure to AI agents

Founders of the Reload platform say AI is moving from simple automation toward something closer to teamwork.

Newton Asare and Kiran Das noticed that AI agents were completing tasks normally handled by employees, which pushed them to design a system that treats digital workers as part of a company’s structure instead of disposable tools.

Their platform, Reload, offers a way for organisations to manage these agents across departments, assign responsibilities and monitor performance. The firm has secured 2.275 million dollars in new funding led by Anthemis with several other investors joining the round.

The shift toward agent-driven development exposed a recurring limitation. Most agents retain only short-term memory, which means they often lose context about a product or forget why a task matters.

Reload’s answer is Epic, a new product built on its platform that acts as an architect alongside coding agents. Epic defines requirements and constraints at the start of a project, then continuously preserves the shared understanding that agents need as software evolves.

Epic integrates with popular AI-assisted code editors such as Cursor and Windsurf, allowing developers to keep a consistent system memory without changing their workflow.

The tool generates key project artefacts from the outset, including data models and technical decisions, then carries them forward even when teams switch agents. It creates a single source of truth so that engineers and digital workers develop against the same structure.

Competing systems such as LongChain and CrewAI also offer support for managing agents, but Reload argues that Epic’s ability to maintain project-level context sets it apart.

Asare and Das, who already built and sold a previous company together, plan to use the fresh capital to grow their team and expand the infrastructure needed for a future in which human workers manage AI employees instead of the other way around.

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Greece positions itself as a global AI bridge

The PM of Greece, Kyriakos Mitsotakis, took part in the India AI Impact Summit in New Delhi as part of a two-day visit that highlighted the country’s ambition to deepen its presence in global technology governance.

A gathering that focuses on creating a coherent international approach to AI under the theme ‘People-Planet-Progress’, with an emphasis on practical outcomes instead of abstract commitments.

Greece presents itself as a link between Europe and the Global South, seeking a larger role in debates over AI policy and geoeconomic strategy.

Mitsotakis is joined by Minister of Digital Governance Dimitris Papastergiou, underscoring Athens’ intention to strengthen partnerships that support technological development.

During the visit, Mitsotakis attended an official dinner hosted by Narendra Modi.

On Thursday, he will address the summit at Bharat Mandapam before holding a scheduled meeting with his Indian counterpart, reinforcing efforts to expand cooperation between Greece and India in emerging technologies.

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Reliance and OpenAI bring AI search to JioHotstar

OpenAI has joined forces with Reliance Industries to introduce conversational search into JioHotstar.

The integration uses OpenAI’s API so viewers can look for films, series, and live sports through multilingual text or voice prompts, receiving recommendations shaped by their viewing patterns instead of basic keyword results.

A collaboration that extends beyond the platform itself, with plans to surface JioHotstar suggestions directly inside ChatGPT.

The approach presents a two-way discovery layer that links entertainment browsing with conversational queries, pointing toward a new model for how audiences engage with streaming catalogues.

OpenAI is strengthening its footprint in India, where more than 100 million people now use ChatGPT weekly. The company intends to open offices in Mumbai and Bengaluru to support the expansion, adding to its site in New Delhi.

The partnership was announced at the India AI Impact Summit, where Sam Altman appeared alongside industry figures such as Dario Amodei and Sundar Pichai.

A move that aligns with a broader ‘OpenAI for India’ strategy that includes work on data centres with the Tata Group and further collaborations with companies such as Pine Labs, Eternal, and MakeMyTrip.

Executives from both sides said conversational interfaces will reshape how people find and follow programming, helping users navigate entertainment in a more natural way instead of relying on conventional menus.

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AI agent autonomy rises as users gain trust in Anthropic’s Claude Code

A new study from Anthropic offers an early picture of how people allow AI agents to work independently in real conditions.

By examining millions of interactions across its public API and its coding agent Claude Code, the company explored how long agents operate without supervision and how users change their behaviour as they gain experience.

The analysis shows a sharp rise in the longest autonomous sessions, with top users permitting the agent to work for more than forty minutes instead of cutting tasks short.

Experienced users appear more comfortable letting the AI agent proceed on its own, shifting towards auto-approve instead of checking each action.

At the same time, these users interrupt more often when something seems unusual, which suggests that trust develops alongside a more refined sense of when oversight is required.

The agent also demonstrates its own form of caution by pausing to ask for clarification more frequently than humans interrupt it as tasks become more complex.

The research identifies a broad spread of domains that rely on agents, with software engineering dominating usage but early signs of adoption emerging in healthcare, cybersecurity and finance.

Most actions remain low-risk and reversible, supported by safeguards such as restricted permissions or human involvement instead of fully automated execution. Only a tiny fraction of actions reveal irreversible consequences such as sending messages to external recipients.

Anthropic notes that real-world autonomy remains far below the potential suggested by external capability evaluations, including those by METR.

The company argues that safer deployment will depend on stronger post-deployment monitoring systems and better design for human-AI cooperation so that autonomy is managed jointly rather than granted blindly.

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Google plans $15bn AI push in India

Google CEO Sundar Pichai said at the India AI Impact Summit 2026 in New Delhi that he never imagined Visakhapatnam would become a global AI hub. Speaking in New Delhi, he recalled passing through the coastal city as a student and described its transformation as remarkable.

In New Delhi, Pichai announced that Google will establish a full-stack AI hub in Visakhapatnam as part of a $15 billion investment in India. The facility is expected to include gigawatt-scale compute capacity and a new international subsea cable gateway.

The project in Visakhapatnam is set to generate jobs and deliver advanced AI services to businesses and communities across India. Authorities in Andhra Pradesh have allotted more than 600 acres of land near the port city for the proposed hyperscale AI data centre.

Reacting in New Delhi, Andhra Pradesh IT and HRD Minister Nara Lokesh welcomed the announcement and thanked Pichai for expressing confidence in Visakhapatnam. The development positions Visakhapatnam as a major AI infrastructure hub within India’s expanding technology sector.

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