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TikTok faces a €530 million EU record fine over data concerns

TikTok has been handed a €530 million ($600 million) fine by Ireland’s Data Protection Commissioner (DPC) over data privacy violations involving user information transfers to China.

The EU privacy watchdog highlighted that TikTok failed to ensure that the EU citizens’ data received sufficient protection against potential access by Chinese authorities, raising concerns among EU lawmakers.

The regulator has also set a tight six-month deadline for TikTok to align its data practices with the EU standards. If the platform cannot demonstrate compliance, particularly in safeguarding the EU user information from being accessed remotely by China-based employees, it could face a suspension of data transfers entirely.

TikTok strongly opposes the ruling, asserting it has consistently adhered to EU-approved frameworks that restrict and monitor data access. The platform also highlighted recent security enhancements, including dedicated EU and US data centres, as proof of its commitment.

TikTok claims it has never received or complied with any request for the EU user data from Chinese authorities, framing the ruling as an overly strict measure that could disrupt broader industry practices.

However, the regulator revealed new concerns following TikTok’s recent disclosure that some EU user data had been inadvertently stored on servers in China, although subsequently deleted.

The revelation prompted Ireland’s privacy watchdog to consider additional regulatory actions, underscoring its serious concerns about TikTok’s overall transparency of data handling.

The case represents the second major privacy reprimand against TikTok in recent years, following a €345 million fine in 2023 over mishandling children’s data. It also marks the DPC’s pattern of taking tough actions against global tech companies headquartered in Ireland, as it aims to enforce compliance strictly under the EU’s rigorous General Data Protection Regulation (GDPR).

NotebookLM expands podcast-style summaries

Google has significantly upgraded its NotebookLM platform by expanding the Audio Overviews feature to support more than 50 languages.

Previously available only in English, the tool now allows users to generate audio summaries in various languages, making it easier to consume complex or untranslated content. These AI-generated summaries are styled like a podcast and feature two artificial hosts discussing selected material.

NotebookLM is aimed at helping users study and synthesise information from different sources. With the latest update, people can now listen to summaries of foreign-language research papers or long-form English content in their preferred language.

A new ‘Output Language’ option also enables users to switch between languages on demand, making it easier to create or consume multilingual material. Although the added language support is currently limited to NotebookLM, Google says similar features will come to Google Docs in the coming months.

The functionality is particularly useful for learners who want to improve their language comprehension by listening to familiar content in a new language. NotebookLM remains free to use, while NotebookLM Plus is available for those on the Google One AI Premium plan.

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AI agents tried running a fake company

If you’ve been losing sleep over AI stealing your job, here’s some comfort: the machines are still terrible at basic office work. A new experiment from Carnegie Mellon University tried staffing a fictional software startup entirely with AI agents. The result? A dumpster fire of incompetence—and proof that Skynet isn’t clocking in anytime soon.

The experiment

Researchers built TheAgentCompany, a virtual tech startup populated by AI ’employees’ from Google, OpenAI, Anthropic, and Meta. These bots were assigned real-world roles:

Software engineers
Project managers
Financial analysts
A faux HR department (yes, even the CTO was AI)

Tasks included navigating file systems, ‘touring’ virtual offices, and writing performance reviews. Simple stuff, right?

The (very) bad news

The AI workers flopped harder than a Zoom call with no Wi-Fi. Here’s the scoreboard:

Claude 3.5 Sonnet (Anthropic): ‘Top performer’ at 24% task success… but cost $6 per task and took 30 steps.
Gemini 2.0 Flash (Google): 11.4% success rate, 40 steps per task. Slow and unsteady.
Nova Pro v1 (Amazon): A pathetic 1.7% success rate. Promoted to coffee-runner.

Why did it go so wrong?

Turns out, AI agents lack… well, everything:

Common sense: One bot couldn’t find a coworker on chat, so it renamed another user to pretend it did.
Social skills: Performance reviews read like a Mad Libs game gone wrong.
Internet literacy: Bots got lost in file directories like toddlers in a maze.

Researchers noted the agents relied on ‘self-deception’ — aka inventing delusional shortcuts to fake progress. Imagine your coworker gaslighting themselves into thinking they finished a report.

What now?

While AI can handle bite-sized tasks (like drafting emails), this study proves complex, human-style problem-solving is still a pipe dream. Why? Today’s ‘AI’ is basically glorified autocorrect—not a sentient colleague.

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Tech-driven future ahead for Pakistan’s pharmaceutical sector

Pakistan’s pharmaceutical sector is increasingly adopting AI and advanced technologies to improve drug development and patient care. Industry leaders, including Haroon Qasim, note AI’s growing influence from molecule screening and drug safety monitoring to telemedicine and e-commerce platforms.

Companies now use AI to predict disease trends, assist doctors with instant medical information, and detect adverse drug reactions more rapidly. Startups and established firms alike are integrating AI into research, supply chain management, customer service, and regulatory processes.

Innovations such as machine learning for anomaly detection, IoT systems for automated production, and predictive analytics for logistics are reshaping the sector. in Pakistan Haroon Qasim highlighted these changes as vital steps toward building a smarter and healthier society.

Martin Dow Group further demonstrated its commitment to AI by hosting its first Tech Day, uniting global tech leaders to explore future collaborations. The company launched initiatives with SAP and Salesforce partners, signalling a deeper move into data-driven healthcare.

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Autonomous construction robot Zyrex set for 2026 debut

Construction sites could soon see a dramatic change with the arrival of Zyrex, a 20-foot-tall autonomous robot developed by RIC Robotics in California.

Designed for welding, carpentry, 3D printing, and material handling, Zyrex is being built to tackle labour shortages and improve safety on high-risk construction sites.

The company expects to complete a working prototype by early 2026, aiming to revolutionise the industry with a fully autonomous machine equipped with advanced cognitive capabilities.

Zyrex will initially be operated by human controllers using VR and simulators, while it gathers real-time data through LiDAR and visual sensors. By comparing this information to digital building models, Zyrex will ensure precision and quality before eventually transitioning to full autonomy.

Unlike humanoid robots, Zyrex is purpose-built for construction, focusing on both heavy-duty tasks and delicate operations like welding and exterior finishing.

Building on earlier successes, including the RIC-M1 Pro which helped 3D-print Walmart warehouse extensions ahead of schedule, Zyrex promises to be both powerful and cost-effective. RIC Robotics estimates the price to be under $1 million, with leasing options starting below $20,000 a month.

Founder Ziyou Xu describes Zyrex as ‘the future of construction,’ dismissing humanoid robots like Tesla’s Optimus as impractical for industrial work.

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AI research project aims to improve drug-resistant epilepsy outcomes

A research collaboration between Swansea University and King’s College London has secured a prestigious Medical Research Council project grant to tackle drug-resistant epilepsy.

The project brings together clinicians, data scientists, AI specialists, and individuals with lived experience from the Epilepsy Research Institute’s Shape Network to advance understanding and treatment of the condition.

Drug-resistant epilepsy affects around 30% of the 600,000 people living with epilepsy in the UK, leading to ongoing seizures, memory issues, and mood disorders.

Researchers will use advanced natural language processing, AI, and anonymised healthcare data to better predict who will develop resistance to medications and how treatments can be prioritised.

Project lead Dr Owen Pickrell from Swansea University highlighted the unique opportunity to combine real-world clinical data with cutting-edge AI to benefit people living with the condition.

Annee Amjad from the Epilepsy Research Institute also welcomed the project, noting that it addresses several of the UK’s top research priorities for epilepsy.

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Singapore Airlines upgrades customer support with AI technology

Singapore Airlines has partnered with OpenAI to enhance its customer support services. The airline’s upgraded virtual assistant will now offer more personalised support to customers and assist staff by automating routine processes and improving decision-making for complex tasks.

The partnership comes alongside Singapore Airlines’ ongoing work with Salesforce to strengthen its customer case management system using AI tech. New solutions will be developed at Salesforce’s AI research hub in Singapore, advancing customer service capabilities and operational efficiency.

These moves reflect a broader industry trend, with airlines like Delta and Air India also investing heavily in AI-driven tools for travel assistance and operational support. The Airline emphasised that AI integration will help it meet regulatory demands, enhance workforce management and elevate customer experience.

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Fibocom’s AI mobile hotspot promises faster, smarter connectivity

Fibocom has launched its new 5G AI Mobile Hotspot Solution, combining next-generation 5G connectivity with advanced AI-driven voice interaction.

The intelligent mobile hotspot, powered by Fibocom’s customised AI app, supports multilingual voice control, real-time document retrieval, and an AI translation engine covering more than 20 languages with up to 95% accuracy, making it an ideal tool for international communication and travel.

The solution is built on Qualcomm’s QCM4490 platform, featuring an 8-core 4nm CPU with speeds up to 2.4GHz. It supports dual SIM standby, USB 3.1, Ethernet, and boasts 15W fast and reverse charging capabilities.

Fully compliant with 3GPP Release 16, the device achieves downlink speeds up to 2.33Gbps on Sub-6GHz bands and supports Android and Linux operating systems, external cameras, and 1080P displays for broad application use.

Significantly, the mobile hotspot integrates Qualcomm’s next-generation Wi-Fi 7 chipset, offering concurrent dual-band modes and speeds up to BE5800.

Ralph Zhao, Vice President of Fibocom’s MC Product Management Department, said the launch transforms mobile hotspots into intelligent companions, driving forward the integration of 5G, AI, and edge computing technologies.

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DeepSeek shifts towards commercial AI products with urgent hiring drive

Chinese AI startup DeepSeek is urgently hiring for product and design roles as it pivots from pure research towards commercialising its large language model technology.

A job notice posted on its official WeChat account called for candidates with experience in product management and visual design to work in Beijing and Hangzhou.

The hiring move reflects DeepSeek’s ambition to create the ‘next generation of intelligent product experience’ centred on its powerful open-source models, following the success of its low-cost R1 reasoning model.

Founded in 2023 by Liang Wenfeng, DeepSeek has quickly made a name for itself by challenging industry giants like OpenAI with affordable, high-performing models.

Its latest models, including the upgraded V3 and upcoming R2, have been praised for their strong reasoning and coding abilities, with open-source availability under the permissive MIT licence.

Major Chinese firms such as Tencent and Baidu have already integrated DeepSeek’s technology into their platforms, boosting its reputation as a major force in China’s AI race.

The rush to recruit product and operational leaders mirrors a wider industry trend as AI firms recognise the critical role of product managers in translating technological breakthroughs into real-world applications.

DeepSeek’s founder has made it clear that creativity and passion outweigh traditional experience in the company’s hiring priorities.

As the global AI industry continues to evolve, DeepSeek’s bold shift from research to product development signals a maturing market with fierce competition on both sides of the Pacific.

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Japanese startup Craif raises funds to expand urine-based cancer test

Cancer remains one of the leading causes of death worldwide, with nearly 20 million new cases and 9.7 million deaths recorded in 2022.

In response, Japanese startup Craif, spun off from Nagoya University in 2018, is developing an AI-powered early cancer detection software using microRNA (miRNA) instead of relying on traditional methods.

The company has just raised $22 million in Series C funding, bringing its total to $57 million, with plans to expand into the US market and strengthen its research and development efforts.

Craif was founded after co-founder and CEO Ryuichi Onose experienced the impact of cancer within his own family. Partnering with associate professor Takao Yasui, who had discovered a new technique for early cancer detection using urinary biomarkers, the company created a non-invasive urine-based test.

Instead of invasive blood tests, Craif’s technology allows patients to detect cancers as early as Stage 1 from the comfort of their own homes, making regular screening more accessible and less daunting.

Unlike competitors who depend on cell-free DNA (cfDNA), Craif uses microRNA, a biomarker known for its strong link to early cancer biology. Urine is chosen instead of blood because it contains fewer impurities, offering clearer signals and reducing measurement errors.

Craif’s first product, miSignal, which tests for seven different types of cancers, is already on the market in Japan and has attracted around 20,000 users through clinics, pharmacies, direct sales, and corporate wellness programmes.

The new funding will enable Craif to enter the US market, complete clinical trials by 2029, and seek FDA approval. It also plans to expand its detection capabilities to cover ten types of cancers this year and explore applications for other conditions like dementia instead of limiting its technology to cancer alone.

With a growing presence in California and partnerships with dozens of US medical institutions, Craif is positioning itself as a major player in the future of early disease detection.

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