The US AI company, OpenAI, has acquired healthcare technology startup Torch only days after unveiling ChatGPT Health, signalling an accelerated push into medical and clinical applications.
Financial terms were not officially disclosed, although media reports estimate the transaction at between $60 million and $100 million.
Torch was developed as a unified medical memory platform, designed to consolidate patient data from hospitals, laboratories, wearable devices and consumer testing services.
The company positioned its technology as a means to support AI systems in navigating fragmented healthcare information, rather than relying on isolated data sources.
Torch’s four-person team will join OpenAI following the acquisition, reinforcing the company’s internal healthcare expertise. OpenAI has emphasised privacy, safety and collaboration with medical professionals as core principles guiding its expansion into sensitive data environments.
The move follows a broader strategy by OpenAI to strengthen enterprise offerings, particularly for large healthcare organisations. Recent hires and partnerships suggest healthcare remains a priority area as AI adoption increases across regulated sectors.
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Ant International has announced a partnership with Google to support the launch of the Universal Commerce Protocol, a new open standard designed to enable agent-driven commerce across discovery, purchasing and post-purchase support.
A collaboration that aims to simplify how AI agents, merchants and payment providers interact across platforms.
The protocol establishes a shared language that enables agents to collaborate seamlessly without requiring bespoke integrations, while remaining compatible with existing industry frameworks. Google says alignment on common standards is essential for agentic commerce to scale across sectors and markets.
AI interfaces such as the Gemini app and AI Mode in Google Search are expected to support native purchasing within conversations. Users expressing shopping intent will receive curated product options and complete payments through integrated wallet services without leaving the chat environment.
Ant International is contributing payment expertise, alternative payment methods and AI-based risk management to ensure traceable transactions and consumer trust.
The company states that secure intent verification and fraud protection are crucial as users entrust purchasing decisions to intelligent agents.
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Personal finance assistants powered by AI tools are increasingly helping users manage budgets, analyse spending, and organise financial documents. Popular platforms such as ChatGPT, Google Gemini, Microsoft Copilot, and Claude now offer features designed to support everyday financial tasks.
Rather than focusing on conversational style, users should consider how financial data is accessed and how each assistant integrates with existing systems. Connections to spreadsheets, cloud storage, and secure platforms often determine how effective AI tools are for managing financial workflows.
ChatGPT is commonly used for drafting financial summaries, analysing expenses, and creating custom tools through plugins. Google Gemini is closely integrated with Google Docs and Sheets, making it suitable for users who rely on Google’s productivity ecosystem.
Microsoft Copilot provides strong automation for Excel and Microsoft 365 users, with administrative controls that appeal to organisations. Claude focuses on safety and large context windows, allowing it to process lengthy financial documents with more conservative output.
Choosing the most suitable AI tools for personal finance depends on workflow needs, data governance preferences, and privacy considerations. No single platform dominates every use case; each offers strengths across different financial management tasks.
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A UK public sector cyberattack on Kensington and Chelsea Council has exposed the growing vulnerability of government organisations to data breaches. The council stated that personal details linked to hundreds of thousands of residents may have been compromised after attackers targeted the shared IT infrastructure.
Security experts warn that interconnected systems, while cost-efficient, create systemic risks. Dray Agha, senior manager of security operations at Huntress, said a single breach can quickly spread across partner organisations, disrupting essential services and exposing sensitive information.
Public sector bodies remain attractive targets due to ageing infrastructure and the volume of personal data they hold. Records such as names, addresses, national ID numbers, health information, and login credentials can be exploited for fraud, identity theft, and large-scale scams.
Gregg Hardie, public sector regional vice president at SailPoint, noted that attackers often employ simple, high-volume tactics rather than sophisticated techniques. Compromised credentials allow criminals to blend into regular activity and remain undetected for long periods before launching disruptive attacks.
Hardie said stronger identity security and continuous monitoring are essential to prevent minor intrusions from escalating. Investing in resilient, segmented systems could help reduce the impact of future UK public sector cyberattack incidents and protect critical operations.
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Apple and Google have confirmed a multi-year partnership that will see Google’s Gemini models powering Siri and future Apple Intelligence features. The collaboration will underpin Apple’s next-generation AI models, with updates coming later this year.
The move follows delays in rolling out Siri upgrades first unveiled at WWDC 2024. While most Apple Intelligence features have already been launched, the redesigned Siri has been postponed due to development taking longer than anticipated.
According to reports, Apple will continue using its own models for specific tasks, while Gemini is expected to handle summarisation, planning, and other advanced functions.
Bloomberg reports the upcoming Siri will be structured around three layers: query planning, knowledge retrieval, and summarisation. Gemini will handle planning and summarisation, helping Siri structure responses and create clear summaries.
Knowledge retrieval may also benefit from Gemini, potentially broadening Siri’s general knowledge capabilities beyond its current hand-off system.
All AI processing will operate on Apple’s Private Cloud Compute platform, ensuring user privacy and keeping data secure. Analysts suggest this integration will embed Gemini more deeply into Siri’s core functionality, rather than serving as a supplementary tool.
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A newly identified vulnerability in Telegram’s mobile apps allows attackers to reveal users’ real IP addresses with a single click. The flaw, known as a ‘one-click IP leak’, can expose location and network details even when VPNs or proxies are enabled.
The issue comes from Telegram’s automatic proxy testing process. When a user clicks a disguised proxy link, the app initiates a direct connection request that bypasses all privacy protections and reveals the device’s real IP address.
Cybersecurity researcher @0x6rss demonstrated an attack on X, showing that a single click is enough to log a victim’s real IP address. The request behaves similarly to known Windows NTLM leaks, where background authentication attempts expose identifying information without explicit user consent.
ONE-CLICK TELEGRAM IP ADDRESS LEAK!
In this issue, the secret key is irrelevant. Just like NTLM hash leaks on Windows, Telegram automatically attempts to test the proxy. Here, the secret key does not matter and the IP address is exposed. Example of a link hidden behind a… https://t.co/KTABAiuGYIpic.twitter.com/NJLOD6aQiJ
Attackers can embed malicious proxy links in chats or channels, masking them as standard usernames. Once clicked, Telegram silently runs the proxy test, bypasses VPN or SOCKS5 protections, and sends the device’s real IP address to the attacker’s server, enabling tracking, surveillance, or doxxing.
Both Android and iOS versions are affected, putting millions of privacy-focused users at risk. Researchers recommend avoiding unknown links, turning off automatic proxy detection where possible, and using firewall tools to block outbound proxy tests. Telegram has not publicly confirmed a fix.
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The creators of Stranger Things have been accused by some fans of using ChatGPT while writing the show’s fifth and final season, following the release of a behind-the-scenes Netflix documentary.
The series ended on New Year’s Eve with a two-hour finale that saw (SPOILER WARNING) Vecna defeated and Eleven apparently sacrificing herself. The ambiguous ending divided viewers, with some disappointed by the lack of closure.
A documentary titled One Last Adventure: The Making Of Stranger Things 5 was released shortly after the finale. One scene showing Matt and Ross Duffer working on scripts drew attention after a screenshot circulated online.
Some viewers claimed a ChatGPT-style tab was visible on a laptop screen. Others questioned the claim, noting the footage may predate the chatbot’s mainstream use.
Netflix has since confirmed two spin-offs are in development, including a new live-action series and an animated project titled Stranger Things: Tales From ’85.
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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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