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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Amazon has announced a new round of corporate job reductions affecting around 16,000 roles worldwide; however, the company insists the move is aimed at streamlining operations rather than replacing workers with AI. Instead, the layoffs are intended to reduce management layers and bureaucracy following years of rapid expansion.
Moreover, experts broadly support Amazon’s explanation, noting that the cuts do not signal widespread AI-driven job displacement. Although Amazon’s chief executive has acknowledged that generative AI could reduce corporate workforce needs in the future, analysts emphasise that current AI systems are not yet capable of replacing complex corporate roles at scale.
Meanwhile, the decision comes as Amazon continues to adjust after significant pandemic-era workforce growth, when online shopping surged, and the company expanded rapidly. As consumer behaviour has shifted back towards physical retail, the company has therefore focused on cost-cutting and workforce resizing.
Finally, specialists caution against overstating AI’s immediate impact on employment. While AI may affect some entry-level or routine tasks, experts argue that its capabilities have levelled off, meaning human expertise remains essential across most corporate functions.
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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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Meta plans to nearly double its AI investment in 2026, according to its latest earnings report. Spending is expected to reach between $115bn and $135bn as the company expands large-scale infrastructure.
Mark Zuckerberg said the investment will focus on data centres needed to train advanced AI models. The strategy is designed to support long-term AI development across Meta’s platforms in the US.
Zuckerberg described 2026 as a pivotal year for AI, with Meta working on multiple products rather than a single launch. Testing is reportedly underway on new models intended to succeed the Llama family in the US.
Meta said building proprietary AI models allows greater control over future products. The company positioned AI as a tool for personal empowerment, setting its approach apart from more centralised automation strategies in the US.
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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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The pace of the AI infrastructure boom continues to accelerate, with semiconductor supply chains signalling sustained long-term demand.
NVIDIA remains the most visible beneficiary as data centre investment drives record GPU purchases, yet supplier activity further upstream suggests confidence extends well beyond a single company.
ASML, the Dutch firm that exclusively supplies extreme ultraviolet lithography equipment, has emerged as a critical indicator of future chip production.
Its machines are essential for advanced semiconductor manufacturing, meaning strong performance reflects expectations of high chip volumes across the industry rather than short-term speculation. Quarterly earnings underline that momentum.
ASML reported €32.7 billion in net sales, while new bookings reached a record €13 billion, more than double the previous quarter.
New orders reflect how much capacity manufacturers expect to need, pointing to sustained expansion driven by anticipated AI workloads.
Company leadership attributed the surge directly to AI-related demand, with customers expressing growing confidence in the durability of data centre investment.
While order fulfilment will take years and some plans may change, industry signals suggest a slowdown in AI infrastructure spending is not imminent.
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