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AI health tools need clinicians to prevent serious risks, Oxford study warns

The University of Oxford has warned that AI in healthcare, primarily through chatbots, should not operate without human oversight.

Researchers found that relying solely on AI for medical self-assessment could worsen patient outcomes instead of improving access to care. The study highlights how these tools, while fast and data-driven, fall short in delivering the judgement and empathy that only trained professionals can offer.

The findings raise alarm about the growing dependence on AI to fill gaps caused by doctor shortages and rising costs. Chatbots are often seen as scalable solutions, but without rigorous human-in-the-loop validation, they risk providing misleading or inconsistent information, particularly to vulnerable groups.

Rather than helping, they might increase health disparities by delaying diagnosis or giving patients false reassurance.

Experts are calling for safer, hybrid approaches that embed clinicians into the design and ongoing use of AI tools. The Oxford researchers stress that continuous testing, ethical safeguards and clear protocols must be in place.

Instead of replacing clinical judgement, AI should support it. The future of digital healthcare hinges not just on innovation but on responsibility and partnership between technology and human care.

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Taiwan tightens rules on chip shipments to China

Taiwan has officially banned the export of chips and chiplets to China’s Huawei and SMIC, joining the US in tightening restrictions on advanced semiconductor transfers.

The decision follows reports that TSMC, the world’s largest contract chipmaker, was unknowingly misled into supplying chiplets used in Huawei’s Ascend 910B AI accelerator. The US Commerce Department had reportedly considered a fine of over $1 billion against TSMC for that incident.

Taiwan’s new rules aim to prevent further breaches by requiring export permits for any transactions with Huawei or SMIC.

The distinction between chips and chiplets is key to the case. Traditional chips are built as single-die monoliths using the same process node, while chiplets are modular and can combine various specialised components, such as CPU or AI cores.

Huawei allegedly used shell companies to acquire chiplets from TSMC, bypassing existing US restrictions. If TSMC had known the true customer, it likely would have withheld the order. Taiwan’s new export controls are designed to ensure stricter oversight of future transactions and prevent repeat deceptions.

The broader geopolitical stakes are clear. Taiwan views the transfer of advanced chips to China as a national security threat, given Beijing’s ambitions to reunify with Taiwan and the potential militarisation of high-end semiconductors.

With Huawei claiming its processors are nearly on par with Western chips—though analysts argue they lag two to three generations behind—the export ban could further isolate China’s chipmakers.

Speculation persists that Taiwan’s move was partly influenced by negotiations with the US to avoid the proposed fine on TSMC, bringing both countries into closer alignment on chip sanctions.

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Deepseek searches soar after ChatGPT outage

ChatGPT users faced widespread disruption on 10 June 2025 after a global outage hit OpenAI’s services, affecting both the chatbot and associated APIs. OpenAI has yet to confirm the cause, stating only that users are experiencing high error rates and delays.

The blackout halted work for many creative teams who rely on the tool to generate content and meet deadlines. While some were stalled, others turned to alternatives, sparking a surge in interest in rival AI chatbots.

Searches for DeepSeek, a Chinese-developed AI model, jumped 109% to over 2.1 million on the outage day. Claude AI saw a 95% increase in queries, while interest in Google Gemini and Microsoft Copilot also spiked significantly.

Industry experts say the incident underscores the risk of overdependence on a single platform and highlights the growing maturity of competing AI tools. While frustrating for many, the disruption appears to be fuelling broader competition and diversification in the generative AI market.

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Sam Altman says GPT-4o demand overwhelmed OpenAI’s GPU supply

OpenAI faced a significant infrastructure strain after its GPT-4o image generator went viral for producing Ghibli-style memes. The sudden influx of user demand added a million new users in under an hour, putting immense pressure on the company’s systems.

CEO Sam Altman admitted that OpenAI had to slow feature rollouts and borrow computing power from its research division to keep the service running. The platform temporarily introduced rate limits as it coped with overloaded GPUs.

Altman described the situation as unprecedented, saying no other company has had to manage such intense viral spikes. He noted that image generation with GPT-4o requires significant compute resources, which the company could not fully meet with its current GPU inventory.

Despite the challenges, Altman maintained that OpenAI is committed to managing high user demand while continuing development. The company is also considering watermarking the AI images created by free users to help manage scale and traceability.

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PCCW Global and partners to launch AAE-2 subsea cable linking Asia, Africa, and Europe

A consortium of four leading subsea cable operators, PCCW Global, Sparkle, Telecom Egypt, and Zain Omantel International (ZOI), have signed a Memorandum of Understanding to collaborate on constructing the Asia-Africa-Europe-2 (AAE-2) subsea cable system. The ambitious project will link Hong Kong and Singapore to Italy, traversing secure, high-capacity terrestrial corridors across Thailand, the Arabian Peninsula, and Egypt.

The cable system will also include strategic extensions to additional key destinations, further enhancing intercontinental connectivity across Asia, Africa, and Europe. AAE-2 aims to deliver a next-generation, geographically diverse, and resilient digital infrastructure designed to support the increasing demands of cloud services, content delivery, and digital transformation.

By combining both subsea and terrestrial networks, it will establish a future-proof, high-performance data highway facilitating faster and more reliable international traffic across three continents. Building on the success of the earlier AAE-1 cable, AAE-2 will incorporate cutting-edge technology to offer unprecedented bandwidth capacity, empowering communities and businesses throughout the connected regions.

PCCW Global is committed to providing scalable, secure connectivity, while Sparkle focuses on enhancing route diversity and resilience through submarine systems and hubs. Telecom Egypt highlights its global connectivity via the WeConnect ecosystem, and ZOI leverages its strategic position as a gateway linking Asia, Africa, and Europe.

Together, the consortium is dedicated to successfully delivering this transformative infrastructure that will reshape the future of global digital connections and foster economic growth in emerging markets.

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Nvidia’s Huang: ‘The new programming language is human’

Speaking at London Tech Week, Nvidia CEO Jensen Huang called AI ‘the great equaliser,’ explaining how AI has transformed who can access and control computing power.

In the past, computing was limited to a select few with technical skills in languages like C++ or Python. ‘We had to learn programming languages. We had to architect it. We had to design these computers that are very complicated,’ Huang said.

That’s no longer necessary, he explained. ‘Now, all of a sudden, there’s a new programming language. This new programming language is called ‘human’,’ Huang said, highlighting how AI now understands natural language commands. ‘Most people don’t know C++, very few people know Python, and everybody, as you know, knows human.’

He illustrated his point with an example: asking an AI to write a poem in the style of Shakespeare. The AI delivers, he said—and if you ask it to improve, it will reflect and try again, just like a human collaborator.

For Huang, this shift is not just technical but transformational. It makes the power of advanced computing accessible to billions, not just a trained few.

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UK health sector adopts AI while legacy tech lags

The UK’s healthcare sector has rapidly embraced AI, with adoption rising from 47% in 2024 to 94% in 2025, according to SOTI’s new report ‘Healthcare’s Digital Dilemma’.

AI is no longer confined to administrative tasks, as 52% of healthcare professionals now use it for diagnosis and 57% to personalise treatments. SOTI’s Stefan Spendrup said AI is improving how care is delivered and helping clinicians make more accurate, patient-specific decisions.

However, outdated systems continue to hamper progress. Nearly all UK health IT leaders report challenges from legacy infrastructure, Internet of Things (IoT) tech and telehealth tools.

While connected devices are widely used to support patients remotely, 73% rely on outdated, unintegrated systems, significantly higher than the global average of 65%.

These systems limit interoperability and heighten security risks, with 64% experiencing regular tech failures and 43% citing network vulnerabilities.

The strain on IT teams is evident. Nearly half report being unable to deploy or manage new devices efficiently, and more than half struggle to offer remote support or access detailed diagnostics. Time lost to troubleshooting remains a common frustration.

The UK appears more affected by these challenges than other countries surveyed, indicating a pressing need to modernise infrastructure instead of continuing to patch ageing technology.

While data security remains the top IT concern in UK healthcare, fewer IT teams see it as a priority, falling from 33% in 2024 to 24% in 2025. Despite a sharp increase in data breaches, the number rose from 71% to 84%.

Spendrup warned that innovation risks being undermined unless the sector rebalances priorities, with more focus on securing systems and replacing legacy tools instead of delaying necessary upgrades.

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Ghana to bridge the digital divide with fairer data pricing

Ghana will boost mobile data bundle values starting July 2025 to improve affordability and bridge digital divides. The Minister for Communication, Digital Technology and Innovations announced that all major mobile network operators in Ghana: AirtelTigo, Telecel, and MTN, will implement a minimum 10% increase in data bundle volumes.

MTN will go further, increasing bundles by 15% and reinstating its popular GHC399 Social Media bundle. These changes aim to address consumer concerns about data pricing and improving value for money.

To support this initiative, telecom providers have pledged significant investments. AirtelTigo, Telecel, and MTN will collectively invest around $150 million in network upgrades by the end of 2025. The National Communications Authority (NCA) will step up its oversight, conducting a nationwide quality of service assessment in the final quarter of 2025.

Additionally, quarterly billing integrity tests will be introduced to ensure that users are charged fairly and accurately. Operators failing to meet service standards will face sanctions. Furthermore, the Minister noted that tax rationalisation could lead to future reductions in data prices. A new telecom tariff framework is under development, which may result in additional cost savings for consumers.

The reforms target steep, uneven data prices that still block many Ghanaians from online services, especially in rural areas. By raising bundle values and tightening oversight, authorities aim to make internet access fairer and more affordable nationwide.

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India urges preference for state telecom providers

The Department of Telecommunications (DoT) in India has introduced a policy urging all state governments and Union Territories to prioritise state-run telecom operators Bharat Sanchar Nigam Ltd (BSNL) and Mahanagar Telephone Nigam Ltd (MTNL) for their communication needs. Although not legally binding, that policy directive emphasises data security as a key reason for favouring these public sector providers.

DoT Secretary underscored the increasing competitiveness of BSNL and MTNL, noting that BSNL now manages MTNL’s operations and will set up a dedicated nodal point to cater to state governments efficiently. The move marks a significant strategic shift toward promoting state-owned telecom companies in government communications.

The policy has raised concerns among private telecom companies, who fear losing valuable government contracts to BSNL and MTNL. Private providers currently hold over 92% of the market’s revenue, and government contracts are especially important for smaller ISPs with tight margins. Diverting these contracts could significantly hurt their financial stability.

BSNL and MTNL were initially created to operate independently and compete fairly with private firms. This new policy, favouring them, risks undermining that independence and disrupting the telecom sector’s competitive balance in India.

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AI companions are becoming emotional lifelines

Researchers at Waseda University found that three in four users turn to AI for emotional advice, reflecting growing psychological attachment to chatbot companions. Their new tool, the Experiences in Human-AI Relationships Scale, reveals that many users see AI as a steady presence in their lives.

Two patterns of attachment emerged: anxiety, where users fear being emotionally let down by AI, and avoidance, marked by discomfort with emotional closeness. These patterns closely resemble human relationship styles, despite AI’s inability to reciprocate or abandon its users.

Lead researcher Fan Yang warned that emotionally vulnerable individuals could be exploited by platforms encouraging overuse or financial spending. Sudden disruptions in service, he noted, might even trigger feelings akin to grief or separation anxiety.

The study, based on Chinese participants, suggests AI systems might shape user behaviour depending on design and cultural context. Further research is planned to explore links between AI use and long-term well-being, social function, and emotional regulation.

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