Fintech investment platform Betterment has confirmed a data breach after hackers gained unauthorised access to parts of its internal systems and exposed personal customer information.
The incident occurred on 9 January and involved a social engineering attack connected to third-party platforms used for marketing and operational purposes.
The company said the compromised data included customer names, email and postal addresses, phone numbers and dates of birth.
No passwords or account login credentials were accessed, according to Betterment, which stressed that customer investment accounts were not breached.
Using the limited system access, attackers sent fraudulent notifications to some users promoting a crypto-related scam.
Customers were advised to ignore the messages instead of engaging with the request, while Betterment moved quickly to revoke the unauthorised access and begin a formal investigation with external cybersecurity support.
Betterment has not disclosed how many users were affected and has yet to provide further technical details. Representatives did not respond to requests for comment at the time of publication, while the company said outreach to impacted customers remains ongoing.
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European labour markets are showing clear signs of cooling after a brief period of employee leverage during the pandemic.
Slower industrial growth, easing wage momentum and increased adoption of AI are encouraging firms to limit hiring instead of expanding headcounts, while workers are becoming more cautious about changing jobs.
Economic indicators suggest employment growth across the EU will slow over the coming years, with fewer vacancies and stabilising migration flows reducing labour market dynamism.
Germany, France, the UK and several central and eastern European economies are already reporting higher unemployment expectations, particularly in manufacturing sectors facing high energy costs and weaker global demand.
Despite broader caution, labour shortages persist in specific areas such as healthcare, logistics, engineering and specialised technical roles.
Southern European countries benefiting from tourism and services growth continue to generate jobs, highlighting uneven recovery patterns instead of a uniform downturn across the continent.
Concerns about automation are further shaping behaviour, as surveys indicate growing anxiety over AI reshaping roles rather than eliminating work.
Analysts expect AI to transform job structures and skill requirements, prompting workers and employers alike to prioritise adaptability instead of rapid expansion.
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Consumer hardware is becoming more deeply embedded with AI as robot vacuum cleaners evolve from simple automated devices into intelligent household assistants.
New models rely on multimodal perception and real-time decision-making, instead of fixed cleaning routes, allowing them to adapt to complex domestic environments.
Advanced AI systems now enable robot vacuums to recognise obstacles, optimise cleaning sequences and respond to natural language commands. Technologies such as visual recognition and mapping algorithms support adaptive behaviour, improving efficiency while reducing manual input from users.
Market data reflects the shift towards intelligence-led growth.
Global shipments of smart robot vacuums increased by 18.7 percent during the first three quarters of 2025, with manufacturers increasingly competing on intelligent experience rather than suction power, as integration with smart home ecosystems accelerates.
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NVIDIA and Eli Lilly have announced a joint AI co-innovation lab aimed at advancing drug discovery by combining AI with pharmaceutical research.
The partnership combines Lilly’s experience in medical development with NVIDIA’s expertise in accelerated computing and AI infrastructure.
The two companies plan to invest up to $1 billion over five years in research capacity, computing resources and specialist talent.
Based in the San Francisco Bay Area, the lab will support large-scale data generation and model development using NVIDIA platforms, instead of relying solely on traditional laboratory workflows.
Beyond early research, the collaboration is expected to explore applications of AI across manufacturing, clinical development and supply chain operations.
Both NVIDIA and Eli Lilly claim the initiative is designed to enhance efficiency and scalability in medical production while fostering long-term innovation in the life sciences sector.
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Robotics firm Multiply Labs is introducing automation into cell therapy manufacturing to cut costs by more than 70% and increase output. The startup applies industrial robotics to clean-room environments, replacing slow and contamination-prone manual processes.
Founded in 2016, the San Francisco-based company collaborates with leading cell therapy developers, including Kyverna Therapeutics and Legend Biotech. Its robotic systems perform sterile, precision tasks involved in producing gene-modified cell therapies at scale.
Multiply Labs uses NVIDIA Omniverse to create digital twins of laboratory environments and Isaac Sim to train robots for specialised workflows. Humanoid robots built on NVIDIA’s Isaac GR00T model are also being developed to assist with material handling while maintaining hygiene standards.
Cell therapies involve modifying patient or donor cells to treat various conditions, including cancers, autoimmune diseases, and genetic disorders. The highly customised nature of these treatments makes production costly and sensitive to human error, increasing the risk of failed batches.
By automating thousands of delicate steps, robotics improves consistency, reduces contamination, and preserves expert knowledge. Multiply Labs states that automation could enable the mass production of life-saving therapies at a lower cost and greater availability.
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The eSafety regulator in Australia has expressed concern over the misuse of the generative AI system Grok on social media platform X, following reports involving sexualised or exploitative content, particularly affecting children.
Although overall report numbers remain low, authorities in Australia have observed a recent increase over the past weeks.
The regulator confirmed that enforcement powers under the Online Safety Act remain available where content meets defined legal thresholds.
X and other services are subject to systemic obligations requiring the detection and removal of child sexual exploitation material, alongside broader industry codes and safety standards.
eSafety has formally requested further information from X regarding safeguards designed to prevent misuse of generative AI features and to ensure compliance with existing obligations.
Previous enforcement actions taken in 2025 against similar AI services resulted in their withdrawal from the Australian market.
Additional mandatory safety codes will take effect in March 2026, introducing new obligations for AI services to limit children’s exposure to sexually explicit, violent and self-harm-related material.
Authorities emphasised the importance of Safety by Design measures and continued international cooperation among online safety regulators.
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Rising living costs and economic instability are the biggest worries for young people worldwide. A World Economic Forum survey shows inflation dominates personal and global concerns.
Many young people fear that AI-driven automation will shrink entry-level job opportunities. Two-thirds expect fewer early career roles despite growing engagement with AI tools.
Nearly 60 per cent already use AI to build skills and improve employability. Side hustles and freelance work are increasingly common responses to economic pressure.
Youth respondents call for quality jobs, better education access and affordable housing. Climate change also ranks among the most serious long-term global risks.
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China’s AI sector could narrow the technological AI gap with the United States through growing risk-taking and innovation, according to leading researchers. Despite export controls on advanced chipmaking tools, Chinese firms are accelerating development across multiple AI fields.
Yao Shunyu, a former senior researcher at ChatGPT maker OpenAI and now Tencent’s AI scientist, said a Chinese company could become the world’s leading AI firm within three to five years. He pointed to China’s strengths in electricity supply and infrastructure as key advantages.
Yao said the main bottlenecks remain production capacity, including access to advanced lithography machines and a mature software ecosystem. Such limits still restrict China’s ability to manufacture the most advanced semiconductors and narrow the AI gap with the US.
China has developed a working prototype of an extreme-ultraviolet lithography machine that could eventually rival Western technology. However, Reuters reported the system has not yet produced functioning chips.
Sources familiar with the project said commercial chip production using the machine may not begin until around 2030. Until then, Chinese AI ambitions are likely to remain constrained by hardware limitations.
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The EU has agreed to open talks with the US on sharing sensitive traveller data. The discussions aim to preserve visa-free travel for European citizens.
The proposal is called ‘Enhanced Border Security Partnership‘, and it could allow transfers of biometric data and other sensitive personal information. Legal experts warn that unclear limits may widen access beyond travellers alone.
EU governments have authorised the European Commission to negotiate a shared framework. Member states would later settle details through bilateral agreements with Washington.
Academics and privacy advocates are calling for stronger safeguards and transparency. EU officials insist data protection limits will form part of any final agreement.
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AI is accelerating the creation of digital twins by reducing the time and labour required to build complex models. Consulting firm McKinsey says specialised virtual replicas can take six months or more to develop, but generative AI tools can now automate much of the coding process.
McKinsey analysts say AI can structure inputs and synthesise outputs for these simulations, while the models provide safe testing environments for AI systems. Together, the technologies can reduce costs, shorten development cycles, and accelerate deployment.
Quantum Elements, a startup backed by QNDL Participations and the USC Viterbi School of Engineering, is applying this approach to quantum computing. Its Constellation platform combines AI agents, natural language tools, and simulation software.
The company says quantum systems are hard to model because qubits behave differently across hardware types such as superconducting circuits, trapped ions, and photonics. These variations affect stability, error rates, and performance.
By using digital twins, developers can test algorithms, simulate noise, and evaluate error correction without building physical hardware. Quantum Elements says this can cut testing time from months to minutes.
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