Protecting AI agents from manipulation has become a top priority for OpenAI after rolling out a major security upgrade to ChatGPT Atlas.
The browser-based agent now includes stronger safeguards against prompt injection attacks, where hidden instructions inside emails, documents or webpages attempt to redirect the agent’s behaviour instead of following the user’s commands.
Prompt injection poses a unique risk because Atlas can carry out actions that a person would normally perform inside a browser. A malicious email or webpage could attempt to trigger data exposure, unauthorised transactions or file deletion.
Criminals exploit the fact that agents process large volumes of content across an almost unlimited online surface.
OpenAI has developed an automated red-team framework that uses reinforcement learning to simulate sophisticated attackers.
When fresh attack patterns are discovered, the models behind Atlas are retrained so that resistance is built into the agent rather than added afterwards. Monitoring and safety controls are also updated using real attack traces.
These new protections are already live for all Atlas users. OpenAI advises people to limit logged-in access where possible, check confirmation prompts carefully and give agents well-scoped tasks instead of broad instructions.
The company argues that proactive defence is essential as agentic AI becomes more capable and widely deployed.
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Researchers are warning that AI chatbots may treat dialect speakers unfairly instead of engaging with them neutrally. Studies across English and German dialects found that large language models often attach negative stereotypes or misunderstand everyday expressions, leading to discriminatory replies.
A study in Germany tested ten language models using dialects such as Bavarian and Kölsch. The systems repeatedly described dialect speakers as uneducated or angry, and the bias became stronger when the dialect was explicitly identified.
Similar findings emerged elsewhere, including UK council services and AI shopping assistants that struggled with African American English.
Experts argue that such patterns risk amplifying social inequality as governments and businesses rely more heavily on AI. One Indian job applicant even saw a chatbot change his surname to reflect a higher caste, showing how linguistic bias can intersect with social hierarchy instead of challenging it.
Developers are now exploring customised AI models trained with local language data so systems can respond accurately without reinforcing stereotypes.
Researchers say bias can be tuned out of AI if handled responsibly, which could help protect dialect speakers rather than marginalise them.
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These rapidly produced AI videos aim to grab attention but make it harder for traditional creators to gain visibility. Analysis of top trending channels shows Spain leads in AI slop subscribers with 20.22 million, while South Korea’s channels have amassed 8.45 billion views.
India’s Bandar Apna Dost is the most-viewed AI slop channel, earning an estimated $4.25 million annually and showing the profit potential of mass AI-generated content.
The prevalence of AI slop and brainrot has sparked debates over creativity, ethics, and advertiser confidence. YouTube CEO Neal Mohan calls generative AI transformative, but rising automated videos raise concerns over quality and brand safety.
Researchers warn that repeated exposure to AI-generated content can distort perception and contribute to information overload. Some AI content earns artistic respect, but much normalises low-quality videos, making it harder for users to tell meaningful content from repetitive or misleading material.
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SoftBank Group has agreed to acquire DigitalBridge for $4 billion, strengthening its global digital infrastructure capabilities. The move aims to scale data centres, connectivity, and edge networks to support next-generation AI services.
The acquisition aligns with SoftBank’s mission to develop Artificial Super Intelligence (ASI), providing the compute power and connectivity needed to deploy AI at scale.
DigitalBridge’s global portfolio of data centres, cell towers, fibre networks, and edge infrastructure will enhance SoftBank’s ability to finance and operate these assets worldwide.
DigitalBridge will continue to operate independently under CEO Marc Ganzi. The transaction, valued at a 15% premium to its closing share price, is expected to close in the second half of 2026, pending regulatory approval.
SoftBank and DigitalBridge anticipate that the combined resources will accelerate investments in AI infrastructure, supporting the rapid growth of technology companies and fostering the development of advanced AI applications.
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South Korea has introduced mandatory facial recognition for anyone registering a new SIM card or eSIM, whether in-store or online.
The live scan must match the photo on an official ID so that each phone number can be tied to a verified person instead of relying on paperwork alone.
Existing users are not affected, and the requirement applies only at the moment a number is issued.
The government argues that stricter checks are needed because telecom fraud has become industrialised and relies heavily on illegally registered SIM cards.
Criminal groups have used stolen identity data to obtain large volumes of numbers that can be swapped quickly to avoid detection. Regulators now see SIM issuance as the weakest link and the point where intervention is most effective.
Telecom companies must integrate biometric checks into onboarding, while authorities insist that facial data is used only for real-time verification and not stored. Privacy advocates warn that biometric verification creates new risks because faces cannot be changed if compromised.
They also question whether such a broad rule is proportionate when mobile access is essential for daily life.
The policy places South Korea in a unique position internationally, combining mandatory biometrics with defined legal limits. Its success will be judged on whether fraud meaningfully declines instead of being displaced.
A rule that has become a test case for how far governments should extend biometric identity checks into routine services.
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China’s central bank has confirmed that a revised digital yuan framework will enter force on 1 January 2026, redefining the e-CNY as a form of digital deposit money rather than a cash substitute.
The upgraded framework adds new standards and rules, based on a decade of domestic and cross-border pilot programmes. Usage already spans retail payments, public services, healthcare, education, tourism, and international settlements.
Under the new plan, digital yuan balances held in commercial bank wallets will be classified as bank deposit liabilities. Banks must pay interest on these holdings, which will be insured and included in regular asset-liability management.
Digital yuan operations will also be folded into China’s reserve requirement system. Wallet balances at authorised banks will count towards reserve calculations, while non-bank payment institutions must hold full reserves against the digital yuan they administer.
By late November 2025, cumulative transactions had reached 3.48 billion, with a total value of 16.7 trillion yuan.
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China’s AI industry entered 2025 as a perceived follower but ended the year transformed. Rapid technical progress and commercial milestones reshaped global perceptions of Chinese innovation.
The surprise release of DeepSeek R1 demonstrated strong reasoning performance at unusually low training costs. Open access challenged assumptions about chip dominance and boosted adoption across emerging markets.
State backing and private capital followed quickly, lifting the AI’s sector valuations and supporting embodied intelligence projects. Leading model developers prepared IPO filings, signalling confidence in long term growth.
Chinese firms increasingly prioritised practical deployment, multilingual capability, and service integration. Global expansion now stresses cultural adaptation rather than raw technical benchmarks alone.
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Filmmakers in India are rapidly adopting AI tools like ChatGPT, Midjourney and Stable Diffusion to create visuals, clone voices, and streamline production processes for both independent and large-scale films.
Low-budget directors now produce nearly entire films independently, reducing costs and production time. Filmmakers use AI to visualise scenes, experiment creatively, and plan sound and effects efficiently.
AI cannot fully capture cultural nuance, emotional depth, or storytelling intuition, so human oversight remains essential. Intellectual property, labour protections, and ethical issues remain unresolved.
Hollywood has resisted AI, with strikes over rights and labour concerns. Indian filmmakers, however, carefully combine AI tools with human creativity to preserve artistic vision and cultural nuance.
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South Korean e-commerce firm Coupang has apologised for a major data breach affecting more than 33 million users and announced a compensation package worth 1.69 trillion won. Founder Kim Bom acknowledged the disruption caused, following public and political backlash over the incident.
Under the plan, affected customers will receive vouchers worth 50,000 won, usable Choi Minonly on Coupang’s own platforms. The company said the measure was intended to compensate users, but the approach has drawn criticism from lawmakers and consumer groups.
Choi Min-hee, a lawmaker from the ruling Democratic Party, criticised the decision in a social media post, arguing that the vouchers were tied to services with limited use. She accused Coupang of attempting to turn the crisis into a business opportunity.
Consumer advocacy groups echoed these concerns, saying the compensation plan trivialised the seriousness of the breach. They argued that limiting compensation to vouchers resembled a marketing strategy rather than meaningful restitution for affected users.
The controversy comes as the National Assembly of South Korea prepares to hold hearings on Coupang. While the company has admitted negligence, it has declined to appear before lawmakers amid scrutiny of its handling of the breach.
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More than 20 percent of videos recommended to new YouTube users are low-quality, attention-driven content commonly referred to as AI slop, according to new research. The findings raise concerns about how recommendation systems shape early user experience on the platform.
Video-editing firm Kapwing analysed 15,000 of YouTube’s top channels across countries worldwide. Researchers identified 278 channels consisting entirely of AI-generated slop, designed primarily to maximise views rather than provide substantive content.
These channels have collectively amassed more than 63 billion views and 221 million subscribers. Kapwing estimates the network generates around $117 million in annual revenue through advertising and engagement.
To test recommendations directly, researchers created a new YouTube account and reviewed its first 500 suggested videos. Of these, 104 were classified as AI slop, with around one third falling into a category described as brainrot content.
Kapwing found that AI slop channels attract large audiences globally, including tens of millions of subscribers in countries such as Spain, Egypt, the United States, and Brazil. Researchers said the scale highlights the growing reach of low-quality AI-generated video content.
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