Indian billionaire Mukesh Ambani is focusing on small businesses and promoting innovative neuroscience research to boost Reliance’s revenue from the Indian Premier League (IPL). After striking an $8.5 billion merger with Walt Disney, Reliance plans to attract small companies to advertise during the IPL by offering affordable ad packages starting at $17,000. The company has been conducting closed-door seminars in various Indian cities to pitch these packages, aiming to expand its digital ad inventory and increase streaming revenue.
Reliance is also experimenting with “brain mapping” research to show higher engagement rates for its IPL ads compared to rivals like Google and Meta. The company claims its ads have up to four times more focus, engagement, and memorability, based on neural studies of participants. However, the ad rates for IPL streaming have risen by up to 25%, creating competition with lower-cost platforms like Instagram and YouTube, where some businesses find advertising more affordable.
Despite heavy investments in IPL and other cricket rights, Reliance faces challenges in making the venture profitable. The company is battling major global players in India’s growing digital advertising market, where Google and Meta dominate. Reliance’s ad pitch focuses on user data, offering targeted ads based on viewer demographics. Yet, experts argue that Reliance’s efforts, including using brain scans to boost ad appeal, may not be enough to compete with the sheer reach of platforms like YouTube.
The high cost of IPL broadcast rights, coupled with increasing ad rates, puts pressure on Reliance’s strategy. Still, Ambani remains confident in the IPL’s potential to attract advertisers and retain viewers who may subscribe to additional content offerings. With competition intensifying in India’s $28-billion digital ad market, Reliance’s new tactics may shape its future in the entertainment and advertising sectors.
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In Nagpur, India, flower shop owner Ashish Nagose is one of many young Indians turning to cryptocurrency trading as a way to supplement their income. With regulations tightening around equity derivatives in India, Nagose hopes that trading in crypto assets like Bitcoin and Ethereum can provide stability during slower months for his family-owned flower business. His efforts reflect a broader trend among young Indians who are increasingly looking to cryptocurrencies as a source of income, with the crypto market in India growing rapidly.
The surge in cryptocurrency trading volumes on Indian exchanges has been remarkable, more than doubling in the last quarter of 2024. As of now, young retail traders, particularly in smaller cities like Jaipur, Lucknow, and Pune, are driving much of the interest in crypto. Many of these individuals are seeking opportunities to earn more in a country where job growth has not kept pace with the economy. With India’s crypto market projected to grow to $15 billion by 2035, local platforms like CoinSwitch are seeing increasing numbers of users.
However, this rise in crypto interest is not without challenges. The Indian government has imposed steep taxes on crypto trading and has issued warnings about the risks and volatility of these digital assets. Despite these concerns, young traders like Sagar Neware are determined to make a living through crypto, aiming to restart their family’s business with the money they earn from trading.
The surge in crypto trading in India is also drawing attention to the need for regulatory oversight. While the government has yet to adopt comprehensive regulations for cryptocurrencies, it has warned of potential risks to macroeconomic stability. Despite the central bank’s caution, India’s young crypto enthusiasts are undeterred, continuing to learn and trade in hopes of a more prosperous future.
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Recent weeks have seen a surge in AI-generated videos that transport viewers to historical eras, from the medieval streets during the Black Death to the dramatic eruption of Vesuvius. Creators Dan from the UK and Hogne from Norway, behind the accounts POV Lab and Time Traveller POV, have produced these first-person narratives to bring history to life in a unique and engaging manner.
While the videos have attracted millions of views and sparked widespread fascination, several historians have raised concerns over their historical accuracy. Experts such as Dr Amy Boyington and Dr Hannah Platts point out numerous inaccuracies, including anachronistic details like modern bread rolls and train tracks in medieval scenes, that risk misrepresenting historical facts. They caution that such artistic interpretations, though visually striking, could mislead young viewers and distort their understanding of history.
The creators defend their work as a means to spark curiosity and encourage further research, openly acknowledging that their videos are not intended to be strict documentaries. They label their content as AI-created and urge audiences to verify historical details independently. Despite the debate, these innovative videos are opening up new ways for the public to engage with the past, even as calls for greater accuracy and transparency grow louder.
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Indonesia and Apple have reportedly reached an agreement to lift the country’s ban on iPhone 16s, with a potential deal expected to be signed this week. The ban was imposed in October after Apple failed to meet the requirement that smartphones sold in Indonesia must include at least 35% locally-made parts.
As part of the agreement, Apple will invest $1 billion into a manufacturing plant in Indonesia, focused on producing components for smartphones and other products. Additionally, Apple will commit to training local workers in research and development, expanding beyond its existing Apple academies. However, Apple has no immediate plans to begin iPhone production in the country.
Neither Apple nor Indonesia’s Ministry for Industry have responded to requests for comment on the matter.
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Although a Berlin court initially supported the activists’ request, X filed a motion arguing the judge had shown bias by interacting with the plaintiffs’ social media posts. The court approved the motion, though similar claims against two other judges were dismissed.
The ruling means that the activists will not receive the requested data within their critical timeframe. A hearing on the matter is set for February 27, but any ruling will come too late to influence their election monitoring efforts in Germany.
However, the decision could establish an important precedent for future transparency cases involving social media platforms. The activists had argued that while some election data is technically accessible, it is not realistically obtainable without direct access from X.
X has also announced plans to sue the German government over what it calls excessive user data requests, claiming these demands violate privacy and freedom of expression.
The German digital affairs ministry acknowledged X’s public statements but confirmed that no formal lawsuits had been filed yet. The escalating legal dispute highlights growing tensions between Musk and German authorities, particularly as the country prepares for key elections amid concerns over misinformation.
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Chinese AI startup DeepSeek has announced plans to release five new code repositories next week, reinforcing its commitment to open-source artificial intelligence.
The company, which gained global attention with its R1 reasoning model rivaling Western AI systems, described the release as ‘small but sincere progress’ towards full transparency. These repositories, tested in real-world applications, will provide essential infrastructure to support the AI models DeepSeek has already made public.
DeepSeek has set itself apart in China‘s AI sector by embracing open-source practices, a rare move in a market that typically favours closed-source models.
Founder Liang Wenfeng has emphasised the cultural significance of open-source over commercial gains, highlighting the satisfaction that comes from driving innovation and earning industry respect.
His approach has sparked global interest, particularly after the release of the R1 model, known for its strong performance and cost efficiency.
The company has also recently introduced a new algorithm, Native Sparse Attention (NSA), designed to improve efficiency in long-context training and inference.
DeepSeek’s popularity has surged, becoming China’s leading chatbot service with 22.2 million daily active users, surpassing long-established platforms like Douban. The growing user base and commitment to open-source are positioning DeepSeek as a major player in the global AI landscape.
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US President Donald Trump has directed his trade officials to revive investigations into digital service taxes imposed by foreign countries on American tech giants.
The move could lead to new tariffs on imports from nations like France, Canada, and India, which have introduced taxes targeting major firms such as Google, Meta, Apple, and Amazon. Trump argues that these levies unfairly exploit US companies and has vowed to protect America’s tax base from foreign appropriation.
The renewed probe follows previous investigations during Trump’s first term, where the US Trade Representative found that several countries discriminated against American firms, paving the way for potential retaliatory tariffs.
While the Biden administration initially imposed 25% tariffs on goods from countries with digital taxes, these duties were suspended to allow for global tax negotiations. However, with talks stalling and the US rejecting the 15% global minimum tax, Trump has now abandoned the deal entirely.
As tensions grow, the US could impose fresh tariffs on billions of dollars worth of foreign imports. Trump has not yet revealed the specific tariff rates or the value of goods that may be targeted in this latest round of trade actions.
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AI search startup Genspark has secured $100 million in a Series A funding round, raising its valuation to $530 million as it aims to disrupt Google’s dominance in the search engine market.
Backed by United States and Singapore-based investors, the Palo Alto-based firm now boasts over two million monthly active users. The funding follows a $60 million seed round last June, continuing Genspark’s rapid growth.
Led by CEO Eric Jing, formerly head of Baidu’s AI-powered Xiaodu unit, Genspark is positioning itself as a major contender in the AI-driven search space. Its platform uses multiple AI models working together to conduct detailed online research, aiming to provide users with streamlined, citation-backed answers—an approach that contrasts Google’s traditional list of links.
Google is also testing AI-enhanced search results, highlighting the growing pressure to innovate in the industry. Genspark’s latest funding positions it to expand its technology and user base as the battle for AI-powered search heats up.
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A new digital wellbeing companion, known as Sonny, is now being introduced in several schools across nine districts. Developed by Sonar Mental Health, this tool combines artificial intelligence with human oversight to provide initial mental health support to students.
Students can send their queries via text, with the AI suggesting responses that are ultimately reviewed by a dedicated team of professionals experienced in psychology, social work, and crisis intervention. This approach comes at a time when many schools are facing a severe shortage of qualified counsellours, with recent data revealing that 17 per cent of high schools lack a dedicated counsellour.
CEO Drew Bavir has emphasised that Sonny is not meant to replace professional therapy. Instead, it acts as a first point of contact, with Sonar staff ready to work alongside schools and parents to secure access to further specialist support when needed. This initiative represents a significant step forward in addressing the growing mental health challenges within schools.
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A groundbreaking study from the University of Copenhagen has demonstrated that AI can decode emotions in animals. By training a machine-learning model to analyse the vocal patterns of seven ungulate species, including cows, pigs, and wild boars, the research achieved an impressive accuracy rate of 89.49%. This study, the first of its kind to cross species, marks a significant step forward in understanding animal emotions.
The AI model identified key acoustic indicators of emotional states, such as duration, frequency, and amplitude of vocalisations, revealing that emotional expressions are evolutionarily conserved across species. This discovery could revolutionise animal welfare, enabling real-time monitoring of animals’ emotional well-being, particularly in livestock management, veterinary care, and conservation efforts.
The implications for animal welfare are profound. Early detection of stress or discomfort could lead to timely interventions, improving animals’ lives. Additionally, promoting positive emotions could enhance overall welfare. The researchers have made their emotional call database publicly available to support further studies and encourage more AI-driven research in animal welfare and conservation.
This study not only sheds new light on animal emotions but also offers insights into the evolutionary roots of human language, opening up exciting possibilities for future scientific exploration and better understanding of animal behaviour.
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