A Chrome browser extension posing as an AI assistant has stolen OpenAI credentials from more than 10,000 users. Cybersecurity platform Obsidian identified the malicious software, known as H-Chat Assistant, which secretly harvested API keys and transmitted user data to hacker-controlled servers.
The extension, initially called ChatGPT Extension, appeared to function normally after users provided their OpenAI API keys. Analysts discovered that the theft occurred when users deleted chats or logged out, triggering the transmission of credentials via hardcoded Telegram bot credentials.
At least 459 unique API keys were exfiltrated to a Telegram channel months before they were discovered in January 2025.
Researchers believe the malicious activity began in July 2024 and continued undetected for months. Following disclosure to OpenAI on 13 January, the company revoked compromised API keys, though the extension reportedly remained available in the Chrome Web Store.
Security analysts identified 16 related extensions sharing the identical developer fingerprints, suggesting a coordinated campaign by a single threat actor.
LayerX Security consultant Natalie Zargarov warned that whilst current download numbers remain relatively low, AI-focused browser extensions could rapidly surge in popularity.
The malicious extensions exploit vulnerabilities in web-based authentication processes, creating, as researchers describe, a ‘materially expanded browser attack surface’ through deep integration with authenticated web applications.
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NVIDIA, Microsoft, and Amazon are in talks to invest up to $60 billion in OpenAI, valuing the company at around $730 billion. The talks highlight intensifying competition among technology giants to secure strategic positions in the rapidly expanding AI sector.
NVIDIA is said to be considering the largest commitment, potentially investing as much as $30 billion, while Microsoft may add less than $10 billion despite its long-standing partnership with OpenAI.
Amazon could contribute more than $10 billion, strengthening its cloud and infrastructure ties with the company as demand for large-scale AI computing continues to rise.
OpenAI and NVIDIA are advancing plans to deploy large-scale data centre capacity, with a multi-year rollout starting in late 2026. The project aims to deliver large-scale high-performance computing, supporting OpenAI’s push towards artificial general intelligence and global expansion.
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Worldcoin jumped 40% after reports that OpenAI is developing a biometric social platform to verify users and eliminate bots. The proposed network would reportedly integrate AI tools while relying on biometric identification to ensure proof of personhood.
Sources cited by Forbes claim the project aims to create a humans-only platform, differentiating itself from existing social networks, including X. Development is said to be led by a small internal team, with work reportedly underway since early 2025.
Biometric verification could involve Apple’s Face ID or the World Orb scanner, a device linked to the World project co-founded by OpenAI chief executive Sam Altman.
The report sparked a sharp rally in Worldcoin, though part of the gains later reversed amid wider market weakness. Despite the brief surge, Worldcoin has remained sharply lower over the past year amid weak market sentiment and ongoing privacy concerns.
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The government has expanded the UK joint industry programme offering free AI training to every adult, with the ambition of upskilling 10 million workers by 2030.
Newly benchmarked courses are available through the AI Skills Hub, giving people practical workplace skills while supporting Britain’s aim to become the fastest AI adopter in the G7.
The programme includes short online courses that teach workers in the UK how to use basic AI tools for everyday tasks such as drafting text, managing content and reducing administrative workloads.
Participants who complete approved training receive a government-backed virtual AI foundations badge, setting a national standard for AI capability across sectors.
Public sector staff, including NHS and local government employees, are among the groups targeted as the initiative expands.
Ministers also announced £27 million in funding to support local tech jobs, graduate traineeships and professional practice courses, alongside the launch of a new cross-government unit to monitor AI’s impact on jobs and labour markets.
Officials argue that widening access to AI skills will boost productivity, support economic growth and help workers adapt to technological change. The programme builds on existing digital skills initiatives and brings together government, industry and trade unions to shape a fair and resilient future of work.
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Google is expanding AI learning tools in India by adding full-length Joint Entrance Exam practice tests to Gemini, targeting millions of engineering applicants.
Students can complete full mock JEE exams directly in Gemini. The questions are developed using vetted material from education platforms in India, including Physics Wallah and Careers360, and will be expanded further.
Gemini provides instant feedback after each test. It explains correct answers and generates personalised study plans based on performance, supporting structured exam preparation.
In addition to these exam-focused features, preparation tools will also roll out to AI Mode in Search, specifically including Canvas. These tools will allow students to build interactive quizzes and study guides from their own notes.
Alongside providing enhanced tools for students, Google is also partnering with universities, government agencies, and nonprofits to integrate AI across education systems, aiming to scale access to tens of millions of learners by 2027.
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Amazon is implementing a major round of job cuts while investing more heavily in AI and cloud infrastructure. The latest announcement brings planned reductions to roughly 30,000 roles across corporate teams worldwide.
Senior vice president Beth Galetti said the layoffs aim to reduce management layers, speed up decision-making, and remove organisational bureaucracy. Media reports suggest the cuts represent close to 10 percent of Amazon’s global office workforce, while warehouse and logistics roles remain unaffected.
No specific divisions were named, with the company stating that each team will continue reviewing capacity and operational efficiency. Amazon previously reported spending $1.8 billion on severance linked to restructuring efforts, with full-year financial results due in early February.
The reductions mirror a broader trend across big tech, with Microsoft, Meta, ASML, HP, and Oracle also trimming white-collar management roles. Executives across the sector have framed the changes as cultural and structural rather than budget-driven.
At the same time, Amazon is boosting AI, cloud, and chip investments through AWS, including over $35 billion in data centre expansion in India amid rising competition.
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WhatsApp rejected a class-action lawsuit accusing Meta of accessing encrypted messages, calling such claims false. The company reaffirmed that chats remain protected by device-based Signal protocol encryption.
Filed in a US federal court in California, the complaint alleges Meta misleads more than two billion users by promoting unbreakable encryption while internally storing and analysing message content. Plaintiffs from several countries claim employees can access chats through internal requests.
WhatsApp said no technical evidence accompanies the accusations and stressed that encryption occurs on users’ devices before messages are sent. According to the company, only recipients hold the keys required to decrypt content, which are never accessible to Meta.
The firm described the lawsuit as frivolous and said it will seek sanctions against the legal teams involved. Meta spokespersons reiterated that WhatsApp has relied on independently audited encryption standards for over a decade.
The case highlights ongoing debates about encryption and security, but so far, no evidence has shown that message content has been exposed.
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The certification allows the advertising technology firm to manage personal data without relying on additional transfer mechanisms.
The framework, adopted in 2023, provides a legal basis for EU-to-US data flows while strengthening oversight and accountability. Certification requires organisations to meet strict standards on data minimisation, security, transparency, and individual rights.
By joining the framework, StackAdapt enhances its ability to support advertisers, publishers, and partners through seamless international data processing.
The move also reduces regulatory complexity for European customers while reinforcing the company’s broader commitment to privacy-by-design and responsible data use.
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EU member states are preparing to open formal discussions on the risks posed by AI-powered deepfakes and their use in cyberattacks, following an initiative by the current Council presidency.
The talks are intended to assess how synthetic media may undermine democratic processes and public trust across the bloc.
According to sources, capitals will also begin coordinated exchanges on the proposed Democracy Shield, a framework aimed at strengthening resilience against foreign interference and digitally enabled manipulation.
Deepfakes are increasingly viewed as a cross-cutting threat, combining disinformation, cyber operations and influence campaigns.
The timeline set out by the presidency foresees structured discussions among national experts before escalating the issue to the ministerial level. The approach reflects growing concern that existing cyber and media rules are insufficient to address rapidly advancing AI-generated content.
An initiative that signals a broader shift within the Council towards treating deepfakes not only as a content moderation challenge, but as a security risk with implications for elections, governance and institutional stability.
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Scientists are divided over when quantum computers will become powerful enough to break today’s digital encryption, a moment widely referred to as ‘Q–Day’.
While predictions range from just two years to several decades, experts agree that governments and companies must begin preparing urgently for a future where conventional security systems may fail.
Quantum computing uses subatomic behaviour to process data far faster than classical machines, enabling rapid decryption of information once considered secure.
Financial systems, healthcare data, government communications, and military networks could all become vulnerable as advanced quantum machines emerge.
Major technology firms have already made breakthroughs, accelerating concerns that encryption safeguards could be overwhelmed sooner than expected.
Several cybersecurity specialists warn that sensitive data is already being harvested and stored for future decryption, a strategy known as ‘harvest now, decrypt later’.
Regulators in the UK and the US have set timelines for shifting to post-quantum cryptography, aiming for full migration by 2030-2035. However, engineering challenges and unresolved technical barriers continue to cast uncertainty over the pace of progress.
Despite scepticism over timelines, experts agree that early preparation remains the safest approach. Experts stress that education, infrastructure upgrades, and global cooperation are vital to prevent disruption as quantum technology advances.
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