Search behaviour around XRP increasingly reflects the psychological side of the crypto market. Negative narratives spread quickly online, shaping sentiment and fuelling volatility. Data shows that ‘XRP scam’ search spikes often appear during strong price rallies.
Crypto analyst Leonidas compared Google Trends data for ‘Ripple scam’ and ‘XRP scam’ with XRP’s price chart. Results show that damaging search surges typically align with bullish moves and sometimes precede pullbacks, suggesting that perception pressure builds during peak momentum.
Rapid price growth tends to trigger retail curiosity and concern, primarily when sensational claims circulate widely. Search spikes often coincide with heightened mainstream and social media exposure, indicating sentiment reacts to price action rather than fundamentals.
Despite recurring allegations and past regulatory scrutiny, institutional partnerships and XRP Ledger adoption remain intact. Analysts stress that sentiment spikes rarely signal structural weakness, urging investors to prioritise utility and adoption metrics.
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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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Indian Railways has deployed an AI powered Rail Robocop at Visakhapatnam Railway Station in India to strengthen passenger security. The system is designed to patrol platforms and monitor crowds in Visakhapatnam.
The robot, named ASC Arjun, uses facial recognition to compare live images with a database of known criminals in India. Officials said the system recently identified a suspect during routine surveillance in Visakhapatnam.
Once a match was detected, the AI system sent an instant alert to the Railway Protection Force CCTV control room in Visakhapatnam. Officers were able to respond quickly using the automated notification.
Authorities in India say the Rail Robocop will support human staff rather than replace them. Similar AI deployments are expected at other major railway stations in India following trials in Visakhapatnam.
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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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AI investment is not showing signs of a speculative bubble, according to the Alibaba Group chairman. Instead, he argued at the World Governments Summit in Dubai that current spending is driven by expectations of sustained growth in future computing demand rather than short-term market hype.
At the same time, capital expenditure on AI infrastructure is accelerating rapidly as hyperscalers and model developers expand their capacity. As a result, major companies have almost doubled their annual spending, while projections indicate that global AI-related investment will surpass $500 billion this year and continue to rise.
Moreover, continued confidence in AI scaling laws is reinforcing this investment momentum. Consequently, funding is increasingly channelled towards inference-time scaling to enhance reasoning and accuracy, as well as towards multimodal AI systems that generate video and images and require significant GPU resources.
However, despite strong belief in long-term demand, financial returns remain uncertain. In this context, the Alibaba group chairman noted that many companies are still struggling to clearly demonstrate return on investment, underscoring the tension between long-term AI strategies and short-term financial accountability.
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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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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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Zoom is repositioning hybrid offices as intelligent work environments through Zoom Spaces, its AI-first workplace platform for collaboration and space management that gives IT teams centralised oversight while providing employees with consistent tools for meetings, scheduling, and in-office coordination.
New agentic AI features extend Zoom Spaces beyond room booking into proactive workplace assistance. Workspace Reservation now recommends optimal meeting spaces during overlaps, while upcoming voice commands for Zoom Rooms will enable hands-free meeting control and task capture.
Zoom says intelligent offices reduce friction caused by inconsistent technology, double bookings, and disconnected tools. By unifying scheduling and collaboration experiences, the platform aims to streamline movement between remote and in-person work.
The company is also expanding its ecosystem, allowing organisations to run Zoom Meetings on Cisco Rooms and integrate professional production tools through partners such as Vizrt. The strategy focuses on flexibility while maintaining consistent user experiences.
Additional upgrades include premium media capabilities for high-frame-rate video and improved mobile Workspace Reservation features. Zoom says these enhancements position Zoom Spaces as a next-generation hybrid workplace platform built around adaptive AI collaboration.
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Global sportswear brand Puma has unveiled a new AI-enabled co-creation platform designed to engage customers more directly in product ideation, feedback and development.
The system uses AI to aggregate community input, analyse preferences and suggest design directions that reflect consumer sentiment, allowing Puma to tailor future products to what users actually want.
By turning static feedback loops into interactive, data-informed dialogues, the platform enhances brand-consumer engagement, unlocks deeper insights into style and function preferences, and enables Puma to respond quickly to trends.
The company sees this as a way to blend creativity with customer insight at scale, combining human design expertise with AI-driven analytics to strengthen loyalty and drive innovation.
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Generative AI is increasingly affecting creative industries, raising concerns related to authorship, labour, and human oversight. Companies are under growing pressure to clarify how AI is used in creative production.
Many firms present generative AI as a tool to improve efficiency rather than replace human creativity. This reflects a cautious approach that prioritises human control and risk management.
Take-Two Interactive has confirmed that it is running hundreds of AI pilots focused on cost and time efficiencies. However, the company stresses that AI is used for operational support, not creative generation.
According to CEO Strauss Zelnick, generative AI played no role in the development of Grand Theft Auto VI. Rockstar Games’ worlds are described as fully handcrafted by human developers.
These statements come amid investor uncertainty triggered by recent generative AI experiments in gaming. Alongside this, ongoing labour disputes at Rockstar Games highlight broader governance challenges beyond technology.
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