Tinder tests AI Chemistry feature to cut swipe fatigue and revive engagement

The dating platform is expanding its reliance on AI, with Tinder experimenting with a feature designed to ease swipe fatigue among users.

A tool, known as Chemistry, that builds a picture of each person through optional questions and by reviewing their Camera Roll with permission, offering a more personalised route toward potential matches instead of repetitive browsing.

Match is currently testing the feature only in Australia. Executives say the system allows people to receive a small set of tailored profiles rather than navigating large volumes of candidates.

Tinder hopes the approach will strengthen engagement during a period when registrations and monthly activity remain lower than last year, despite minor improvements driven by AI-based recommendations.

Developers are also refocusing the broader discovery experience to reflect concerns raised by Gen Z around authenticity, trust and relevance.

The platform now relies on verification tools such as Face Check, which Match says cut harmful interactions by more than half instead of leaving users exposed to impersonators.

These moves indicate a shift away from the swipe mechanic that once defined the app, offering more direct suggestions that may improve outcomes.

Marketing investment is set to rise as part of the strategy. Match plans to allocate $50 million to new campaigns that will position Tinder as appealing again, using creators on TikTok and Instagram to reframe the brand.

Strong quarterly revenue failed to offset weaker guidance, yet the company argues that AI features will help shape a more reliable and engaging service for users seeking consistent matches.

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EU tests Matrix protocol as sovereign alternative for internal communication

The European Commission is testing a European open source system for its internal communications as worries grow in Brussels over deep dependence on US software.

A spokesperson said the administration is preparing a solution built on the Matrix protocol instead of relying solely on Microsoft Teams.

Matrix is already used by several European institutions, including the French government, German healthcare bodies and armed forces across the continent.

The Commission aims to deploy it as a complement and backup to Teams rather than a full replacement. Officials noted that Signal currently fills that role but lacks the flexibility needed for an organisation of the Commission’s size.

The initiative forms part of a wider push for digital sovereignty within the EU. A Matrix-based tool could eventually link the Commission with other Union bodies that currently lack a unified secure communication platform.

Officials said there is already an operational connection with the European Parliament.

The trial reflects growing sensitivity about Europe’s strategic dependence on non-European digital services.

By developing home-grown communication infrastructure instead of leaning on a single foreign supplier, the Commission hopes to build a more resilient and sovereign technological foundation.

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AI rollout gains momentum through UK’s Tech Town initiative

UK policymakers are advancing a national strategy to expand the use of AI across public services and the wider economy. The goal is to improve productivity, education, and service delivery while building public confidence in the practical benefits of AI.

As part of this approach, Barnsley has been designated as the UK’s first ‘Tech Town’. The South Yorkshire town will act as a pilot site and blueprint for how AI can be deployed locally and scaled nationwide.

AI integration in Barnsley will focus on public services such as schools and NHS facilities. These applications are intended to show how the technology can support learning, enhance efficiency, and improve service outcomes.

Alongside deployment, skills development and job creation are central to the initiative. Training schemes and AI-focused roles are expected to build local talent and support the government’s AI Opportunities Action Plan.

Delivery of the programme will rely on collaboration between central government, local authorities, public sector workers, and industry partners. Major technology firms, including Microsoft and Cisco, have indicated support, highlighting the role of public–private cooperation in scaling AI adoption.

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Gemini growth narrows gap in chatbot race

Google’s AI chatbot Gemini has surpassed 750 million monthly users, signalling rapid consumer adoption, according to fourth-quarter 2025 earnings. The figure jumped from 650 million in the previous quarter, reinforcing Gemini’s rapid expansion in the generative AI market.

Competitive positioning remains solid. Meta AI has nearly 500 million users, while ChatGPT leads globally with about 810 million. Ongoing product upgrades and ecosystem integration across Google services have sustained Gemini’s growth momentum.

Gemini 3 has driven adoption, with Google calling it its most advanced model, offering deeper reasoning and more nuanced responses. Leadership called the release a key growth driver, with further investment and updates expected to sustain expansion.

Broader AI demand is also lifting Alphabet’s financial performance. Annual revenue has topped $400 billion for the first time, driven by enterprise API demand and infrastructure growth, including the Ironwood TPU rollout.

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Malaysia enforces a total ban on e-waste imports after corruption probe

Authorities have imposed a full and immediate ban on the import of electronic waste in Malaysia to end the long-standing practice of foreign dumping.

The Anti-Corruption Commission reclassified all e-waste as an absolute prohibition, removing the earlier discretion that allowed limited exemptions. Officials argue that the country should protect its environment rather than accept hazardous materials from other nations.

Authorities have spent years intercepting containers loaded with discarded electronics suspected to contain toxic metals that contaminate soil and water when mishandled.

Environmental groups have repeatedly urged stronger controls, noting that waste from computers, mobile phones and household appliances poses severe risks to human health. The government now insists that firm enforcement must accompany the new restrictions to prevent continued smuggling.

The decision comes amid a widening corruption inquiry into oversight of e-waste. The director-general of the environment department and his deputy have been detained on suspicion of abuse of power. At the same time, investigators have frozen bank accounts and seized cash linked to the case.

The Home Ministry has pledged increased surveillance and warned that Malaysia will safeguard its national security by stopping illegal e-waste at its borders.

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Harvard researchers highlight contextual risks in medical AI systems

Medical AI promises faster analysis, more accurate pattern detection, and continuous availability, yet most systems still struggle to perform reliably in real clinical environments beyond laboratory testing.

Researchers led by Marinka Zitnik at Harvard Medical School identify contextual errors as a key reason why medical AI often fails when deployed in hospitals and clinics.

Models frequently generate technically sound responses that overlook crucial factors, such as medical speciality, geographic conditions, and patients’ socioeconomic circumstances, thereby limiting their real-world usefulness.

The study argues that training datasets, model architecture, and performance benchmarks must integrate contextual information to prevent misleading or impractical recommendations.

Improving transparency, trust, and human-AI collaboration could allow context-aware systems to support clinicians more effectively while reducing harm and inequality in care delivery.

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AI traffic cameras change driver behaviour

Cape Town is preparing to introduce AI-assisted cameras to monitor motorists for cellphone use and seatbelt violations. Approval is awaited from the National Director of Public Prosecutions before the technology can be fully deployed.

Similar systems have been in operation in Australia for several years, where drivers face fines and demerit points for offences. Authorities report a noticeable decline in illegal phone use, showing that AI can effectively influence driver behaviour.

The cameras allow law enforcement to focus on other priorities instead of constantly monitoring mobile phone offences. Each AI-detected violation is reviewed by a human before fines are issued, adding a layer of accuracy and transparency.

Motorists retain the right to request camera images if they believe fines were unfairly applied. The Australian model demonstrates that combining technology with human oversight can improve road safety while maintaining accountability for drivers.

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US agencies linked to expanded biometric data sharing with Australia

Reports suggest Australia may expand biometric and identity data sharing with US authorities through border security and visa negotiations, granting enforcement agencies broader access to sensitive personal information.

Information reportedly covered includes passport numbers, dates of birth, facial images, fingerprints, and criminal or immigration records. Such access could allow US authorities to query Australian-held databases directly, bypassing traditional legal cooperation procedures.

No official treaty text or confirmation has been released by either government, and responses have remained general, avoiding details about the Enhanced Border Security Partnership negotiations. The absence of transparency has raised concerns among privacy advocates and legal commentators.

Australia and the United States already cooperate through established frameworks such as the Visa Waiver Program, Migration 5 agreements, and the CLOUD Act. Existing mechanisms involve structured, case-by-case data sharing with legal oversight rather than unrestricted database access.

Analysts note that confirmed arrangements differ significantly from claims of open biometric access, though expanding security vetting requirements continue to increase cross-border data flows. Debate is growing over privacy, sovereignty, and the long-term implications of deeper information sharing.

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Carbon Robotics launches plant identification AI for agricultural robots

Carbon Robotics has introduced a new artificial intelligence system designed to identify plant species in real time, changing how weeds are managed in agriculture. The model allows farmers to decide what should be removed directly in the field without retraining machines.

Called the Large Plant Model, the system is trained on more than 150 million plant images gathered from farms across 15 countries. The technology now powers Carbon AI, which controls the company’s autonomous LaserWeeder robots.

Earlier systems required new data labelling whenever unfamiliar weeds appeared or conditions changed. With the new model, farmers can instantly flag unwanted plants through the robot interface, even if the species has never been seen before.

Carbon Robotics says continuous data from its machines will further improve accuracy over time. Backed by more than $185 million in funding, the company aims to scale AI-driven weed control while reducing reliance on herbicides.

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User activity stabilises as TikTok recovers from transition disruption

TikTok has largely recovered from a brief decline in daily active users following its US ownership change, when a group of American investors assumed control of domestic operations. Usage fell temporarily as uncertainty spread among users. Competing video apps saw short-term gains during the disruption.

Data from Similarweb shows TikTok’s US daily active users dropped to between 86 and 88 million after the transition, compared with a typical average of around 92 million. Activity has since rebounded to more than 90 million. Many users who experimented with alternatives have returned.

Platforms rivalling TikTok, including UpScrolled and Skylight Social, experienced rapid but limited growth. UpScrolled peaked at 138,500 daily users before falling back to roughly 68,000. Skylight Social reached 81,200 daily users, then declined to around 56,300.

User concerns were driven less by ownership itself and more by fears around platform changes. An updated privacy policy allowing precise GPS tracking triggered backlash, alongside confusion over language referencing sensitive personal data. Some interpreted the changes as increased surveillance.

A multi-day data centre outage disrupted search, likes, and in-app messaging, resulting in user frustration. Some users attributed the glitches to possible censorship or platform instability. Once services were restored, activity stabilised, and concerns eased.

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