AI-powered study rooms are revolutionising online education in China by offering personalised, tech-driven learning experiences. These spaces cater to students aged 8 to 18, using advanced software to provide interactive lessons and real-time feedback. The AI systems analyse mistakes, adjust course materials, and generate detailed progress reports for parents, who can track their child’s improvement remotely. By leveraging technology, these study rooms aim to make education more engaging and tailored to individual learning needs.
These AI rooms are marketed as self-study spaces rather than traditional tutoring centres, allowing them to navigate China’s strict private tutoring regulations by framing their services as facility rentals or membership plans. This creative positioning allows them to operate within a regulatory grey area, avoiding restrictions on off-campus tutoring for students in grades one through nine. Membership fees range from 1,000 to 3,000 yuan monthly, making them a more affordable long-term alternative to expensive one-on-one tutoring sessions.
Despite their growing popularity, education experts remain sceptical of their educational value. Critics argue that many of these systems lack proper AI functionality, relying instead on preloaded prompts and automated responses. Furthermore, there are concerns that their heavy emphasis on drilling questions to improve test scores may neglect critical thinking and deeper comprehension. However, proponents believe these AI-powered study rooms represent an essential step toward integrating technology into education and expanding access to personalised learning.
Paul McCartney has raised concerns about AI potentially ‘ripping off’ artists, urging the British government to ensure that upcoming copyright reforms protect creative industries. In a recent BBC interview, McCartney warned that without proper protections, only tech giants would benefit from AI’s ability to produce content using works created by artists without compensating the original creators.
The music and film industries are facing legal and ethical challenges around AI, as models can generate content based on existing works without paying for the rights to use the original material. In response, the UK government has proposed a system where artists can license their works for AI training, though it also suggests exceptions for AI developers using unreserved rights materials at scale.
McCartney emphasised that while AI has its merits, it should not be used to exploit artists. He highlighted the risk that young creators could lose control over their works, with profits going to tech companies rather than the artists themselves. ‘It should be the person who created it’ who benefits, he said, urging that artists’ rights be prioritised in the evolving landscape of AI.
Google is ramping up efforts to influence public perception and policy on AI as it faces increasing global regulatory scrutiny. Kent Walker, Alphabet’s president of global affairs, emphasised the importance of educating the workforce on AI, saying that getting more people familiar with the technology would lead to better policy and open new opportunities. Google is keen on shaping the narrative around AI, especially as it competes with rivals like Microsoft and Meta in the fast-growing sector.
The company is also working to address concerns about job displacement and the potential for AI-driven workforce changes. Google has committed $120 million to AI education programs, with initiatives like the “Grow with Google” program, which provides online and in-person training to help workers gain skills in areas such as data analysis and IT. The company has already certified one million people through these programs and is now adding AI-focused courses.
As governments draft regulations on AI’s impact on privacy, copyright, and the economy, Google is pushing for public-private partnerships to help prepare workers for AI-related changes. Walker noted that while AI could displace some jobs, it will likely be integrated into most roles, creating new opportunities. Google is also researching AI’s potential in training programs, aiming to make adult retraining more engaging and effective.
The CEO of Japanese IT giant NTT DATA has called for global standards in AI regulation to mitigate the risks posed by the rapidly advancing technology. Speaking at the World Economic Forum in Davos, Switzerland, Abhijit Dubey emphasised that inconsistent regulations could lead to significant challenges. He argued that standardised global rules are essential for addressing issues like intellectual property protection, energy efficiency, and combating deepfakes.
Dubey pointed out that the key to unlocking AI’s potential lies not in the technology itself, which he believes will continue to improve rapidly, but in ensuring businesses are prepared to adopt it. A company’s ability to leverage AI, he said, depends on the readiness of its workforce and the robustness of its data architecture.
He stressed that companies must align their AI strategies with their broader business objectives to maximise productivity gains. ‘The biggest issue isn’t the technology it’s whether organisations are set up to implement it effectively,’ Dubey noted.
The discussion at Davos highlighted the urgent need for collaboration among governments, businesses, and industry leaders to create cohesive AI regulations that balance innovation with risk management.
Meta’s new Ray-Ban smart glasses, featuring a Live AI assistant, promise a futuristic way to interact with the world. Users can ask questions about their surroundings, with the AI offering answers in real time. From recipe ideas to decorating advice, Live AI aims to be a virtual assistant that sees what you see and responds conversationally.
Despite its intriguing potential, Live AI struggles in everyday use. Its responses often state the obvious, like suggesting scrambled eggs when a fridge has two eggs and no milk. Users also find it challenging to remember to use the feature, with a smartphone search frequently feeling more practical and efficient. Moreover, the AI’s suggestions often lack the depth needed to be genuinely useful.
Making Live AI effective requires users to master the art of asking precise, specific questions a skill that doesn’t come naturally to everyone. This, combined with issues like misinterpreting conversations and a short battery life, makes the technology feel less magical in real-world scenarios. While the glasses point to a vision of hands-free AI, they currently struggle to provide a compelling alternative to existing devices.
Meta Platforms plans to invest up to $65 billion in 2025 to strengthen its artificial intelligence infrastructure, positioning itself against competitors OpenAI and Google. Chief Executive Mark Zuckerberg announced the plans, including ramped-up hiring for AI roles and the development of a massive 2-gigawatt data centre, enough to cover much of Manhattan.
The company, a significant buyer of Nvidia’s AI chips, aims to have over 1.3 million graphics processors in place by the end of the year. Meta intends to introduce about 1 gigawatt of computing power in 2025, marking a pivotal step in its strategy. Zuckerberg highlighted the transformative potential of AI, predicting its influence on Meta’s products and business over the coming years.
Competition in the AI sector has intensified, with companies like Microsoft and Amazon also committing tens of billions to AI infrastructure. Meta’s announcement follows news of Stargate, a $500 billion AI venture involving OpenAI, SoftBank, and Oracle. Analysts suggest Meta’s timing underscores its determination to remain a key player in the AI race.
Meta has distinguished itself with its open-source Llama AI models, which are freely accessible to consumers and businesses. Zuckerberg expects Meta’s AI assistant, already serving 600 million users, to reach over 1 billion by 2025. The planned investment significantly exceeds previous spending levels, signalling Meta’s commitment to leading in the rapidly evolving AI landscape
Bosnia and Herzegovina-based Zira has introduced a new AI-powered platform designed to help telecom operators maximise their business support system (BSS) data. The platform uses predictive and generative AI to enhance operations, optimise pricing strategies, and adapt to shifting market trends. Wholesale operators can leverage the tool to improve route efficiency, manage traffic volumes, and boost customer experiences while safeguarding service continuity.
Research highlights the growing interest in AI within the telecoms sector. A recent survey by Arthur D. Little found that 71% of telecom executives cited enhanced customer experience as a key benefit of AI integration. Intelligent network optimisation and predictive maintenance were also identified as critical advantages, reducing downtime and operational costs by up to 30%.
Zira’s Chief Product Officer Amir Turalić emphasised the platform’s potential, stating its forecasting capabilities address capacity and pricing challenges while informing better decision-making. Turalić noted Zira is collaborating with clients on live projects to support diverse use cases and refine the platform.
The telecom industry’s adoption of AI remains largely theoretical, with limited deployment stories to date. Zira’s innovation seeks to bridge this gap, providing a tailored solution for the BSS layer and accelerating the adoption of AI-driven tools across networks.
President Donald Trump dismissed criticism from Elon Musk regarding a $500 billion artificial intelligence project announced earlier this week. The venture, named Stargate, involves OpenAI, SoftBank, and Oracle, with plans to construct data centres and create over 100,000 US jobs. Key leaders, including Masayoshi Son of SoftBank, Sam Altman of OpenAI, and Larry Ellison of Oracle, joined Trump at the White House for the announcement.
Musk, who has served as a close adviser to Trump, expressed doubts on social media about the project’s financial backing, claiming SoftBank lacks the necessary funds. The Tesla CEO and world’s richest man has a long-standing rivalry with OpenAI CEO Sam Altman, a central figure in the initiative. Musk questioned whether the collaboration could secure adequate investment for the ambitious venture.
In response, Trump dismissed the concerns, suggesting Musk’s comments stemmed from personal animosity toward Altman. Trump highlighted that the project would not rely on government funding, emphasising that the private entities involved are financially capable. He downplayed any potential fallout with Musk, stating that disagreements are natural in such high-stakes partnerships.
A Trump adviser hinted that tensions between the two could escalate, potentially jeopardising their working relationship. Musk currently leads Trump’s government efficiency initiative, raising questions about how this dispute might affect their collaboration.
US President Donald Trump has signed an executive order aimed at solidifying the country’s dominance in artificial intelligence. The directive includes creating an Artificial Intelligence Action Plan within 180 days to promote economic competitiveness, national security, and human well-being. The White House confirmed this initiative as part of efforts to position the nation as a global AI leader.
Trump has also instructed his AI and national security advisers to dismantle policies implemented by former President Joe Biden. Among these is a 2023 order requiring AI developers to submit safety test results to the government for systems with potential risks to national security, public safety, or the economy.
Biden’s policies aimed to regulate AI development under the Defence Production Act to minimise risks posed by advanced technologies. Critics argue the approach imposed unnecessary constraints, while supporters viewed it as a safeguard against potential misuse of AI.
The latest move reflects Trump’s broader strategy to reshape the nation’s AI framework, focusing on economic growth and innovation while rolling back measures seen as restrictive.
The Maha Kumbh Mela in Prayagraj, India, has embraced cutting-edge technology to better manage the world’s largest gathering of humanity. Facial recognition software, AI, and advanced crowd-monitoring systems ensure a safer and more organised festival for the expected 400 million visitors. Sarita Singh’s experience highlights the impact of these advancements. Separated from her son and mother-in-law, she was reunited with them within hours thanks to facial recognition software linked to over 2,700 CCTV cameras.
Authorities use AI-powered tools to count crowds, detect surges, and prevent stampedes at the sprawling 4,000-hectare site. Nearly 93 million visitors were recorded in the festival’s first nine days alone. The AI systems also monitor for fire hazards and trespassing, providing real-time alerts to on-ground personnel. Underwater drones add another layer of safety, sending alerts if accidents occur during the ritual dips in the holy rivers. Multilingual chatbots on the official Kumbh app further assist visitors from diverse regions.
Prime Minister Narendra Modi has praised technology integration, describing the event as a ‘union of data and technology.’ The digital tools being deployed reflect the changing era of the Maha Kumbh, which not only honours ancient traditions but also embraces modern innovations to enhance the experience for millions of devotees.
